16780 lines
1.6 MiB
16780 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 {
|
||
content: "\e059";
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||
}
|
||
.glyphicon-picture:before {
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||
content: "\e060";
|
||
}
|
||
.glyphicon-map-marker:before {
|
||
content: "\e062";
|
||
}
|
||
.glyphicon-adjust:before {
|
||
content: "\e063";
|
||
}
|
||
.glyphicon-tint:before {
|
||
content: "\e064";
|
||
}
|
||
.glyphicon-edit:before {
|
||
content: "\e065";
|
||
}
|
||
.glyphicon-share:before {
|
||
content: "\e066";
|
||
}
|
||
.glyphicon-check:before {
|
||
content: "\e067";
|
||
}
|
||
.glyphicon-move:before {
|
||
content: "\e068";
|
||
}
|
||
.glyphicon-step-backward:before {
|
||
content: "\e069";
|
||
}
|
||
.glyphicon-fast-backward:before {
|
||
content: "\e070";
|
||
}
|
||
.glyphicon-backward:before {
|
||
content: "\e071";
|
||
}
|
||
.glyphicon-play:before {
|
||
content: "\e072";
|
||
}
|
||
.glyphicon-pause:before {
|
||
content: "\e073";
|
||
}
|
||
.glyphicon-stop:before {
|
||
content: "\e074";
|
||
}
|
||
.glyphicon-forward:before {
|
||
content: "\e075";
|
||
}
|
||
.glyphicon-fast-forward:before {
|
||
content: "\e076";
|
||
}
|
||
.glyphicon-step-forward:before {
|
||
content: "\e077";
|
||
}
|
||
.glyphicon-eject:before {
|
||
content: "\e078";
|
||
}
|
||
.glyphicon-chevron-left:before {
|
||
content: "\e079";
|
||
}
|
||
.glyphicon-chevron-right:before {
|
||
content: "\e080";
|
||
}
|
||
.glyphicon-plus-sign:before {
|
||
content: "\e081";
|
||
}
|
||
.glyphicon-minus-sign:before {
|
||
content: "\e082";
|
||
}
|
||
.glyphicon-remove-sign:before {
|
||
content: "\e083";
|
||
}
|
||
.glyphicon-ok-sign:before {
|
||
content: "\e084";
|
||
}
|
||
.glyphicon-question-sign:before {
|
||
content: "\e085";
|
||
}
|
||
.glyphicon-info-sign:before {
|
||
content: "\e086";
|
||
}
|
||
.glyphicon-screenshot:before {
|
||
content: "\e087";
|
||
}
|
||
.glyphicon-remove-circle:before {
|
||
content: "\e088";
|
||
}
|
||
.glyphicon-ok-circle:before {
|
||
content: "\e089";
|
||
}
|
||
.glyphicon-ban-circle:before {
|
||
content: "\e090";
|
||
}
|
||
.glyphicon-arrow-left:before {
|
||
content: "\e091";
|
||
}
|
||
.glyphicon-arrow-right:before {
|
||
content: "\e092";
|
||
}
|
||
.glyphicon-arrow-up:before {
|
||
content: "\e093";
|
||
}
|
||
.glyphicon-arrow-down:before {
|
||
content: "\e094";
|
||
}
|
||
.glyphicon-share-alt:before {
|
||
content: "\e095";
|
||
}
|
||
.glyphicon-resize-full:before {
|
||
content: "\e096";
|
||
}
|
||
.glyphicon-resize-small:before {
|
||
content: "\e097";
|
||
}
|
||
.glyphicon-exclamation-sign:before {
|
||
content: "\e101";
|
||
}
|
||
.glyphicon-gift:before {
|
||
content: "\e102";
|
||
}
|
||
.glyphicon-leaf:before {
|
||
content: "\e103";
|
||
}
|
||
.glyphicon-fire:before {
|
||
content: "\e104";
|
||
}
|
||
.glyphicon-eye-open:before {
|
||
content: "\e105";
|
||
}
|
||
.glyphicon-eye-close:before {
|
||
content: "\e106";
|
||
}
|
||
.glyphicon-warning-sign:before {
|
||
content: "\e107";
|
||
}
|
||
.glyphicon-plane:before {
|
||
content: "\e108";
|
||
}
|
||
.glyphicon-calendar:before {
|
||
content: "\e109";
|
||
}
|
||
.glyphicon-random:before {
|
||
content: "\e110";
|
||
}
|
||
.glyphicon-comment:before {
|
||
content: "\e111";
|
||
}
|
||
.glyphicon-magnet:before {
|
||
content: "\e112";
|
||
}
|
||
.glyphicon-chevron-up:before {
|
||
content: "\e113";
|
||
}
|
||
.glyphicon-chevron-down:before {
|
||
content: "\e114";
|
||
}
|
||
.glyphicon-retweet:before {
|
||
content: "\e115";
|
||
}
|
||
.glyphicon-shopping-cart:before {
|
||
content: "\e116";
|
||
}
|
||
.glyphicon-folder-close:before {
|
||
content: "\e117";
|
||
}
|
||
.glyphicon-folder-open:before {
|
||
content: "\e118";
|
||
}
|
||
.glyphicon-resize-vertical:before {
|
||
content: "\e119";
|
||
}
|
||
.glyphicon-resize-horizontal:before {
|
||
content: "\e120";
|
||
}
|
||
.glyphicon-hdd:before {
|
||
content: "\e121";
|
||
}
|
||
.glyphicon-bullhorn:before {
|
||
content: "\e122";
|
||
}
|
||
.glyphicon-bell:before {
|
||
content: "\e123";
|
||
}
|
||
.glyphicon-certificate:before {
|
||
content: "\e124";
|
||
}
|
||
.glyphicon-thumbs-up:before {
|
||
content: "\e125";
|
||
}
|
||
.glyphicon-thumbs-down:before {
|
||
content: "\e126";
|
||
}
|
||
.glyphicon-hand-right:before {
|
||
content: "\e127";
|
||
}
|
||
.glyphicon-hand-left:before {
|
||
content: "\e128";
|
||
}
|
||
.glyphicon-hand-up:before {
|
||
content: "\e129";
|
||
}
|
||
.glyphicon-hand-down:before {
|
||
content: "\e130";
|
||
}
|
||
.glyphicon-circle-arrow-right:before {
|
||
content: "\e131";
|
||
}
|
||
.glyphicon-circle-arrow-left:before {
|
||
content: "\e132";
|
||
}
|
||
.glyphicon-circle-arrow-up:before {
|
||
content: "\e133";
|
||
}
|
||
.glyphicon-circle-arrow-down:before {
|
||
content: "\e134";
|
||
}
|
||
.glyphicon-globe:before {
|
||
content: "\e135";
|
||
}
|
||
.glyphicon-wrench:before {
|
||
content: "\e136";
|
||
}
|
||
.glyphicon-tasks:before {
|
||
content: "\e137";
|
||
}
|
||
.glyphicon-filter:before {
|
||
content: "\e138";
|
||
}
|
||
.glyphicon-briefcase:before {
|
||
content: "\e139";
|
||
}
|
||
.glyphicon-fullscreen:before {
|
||
content: "\e140";
|
||
}
|
||
.glyphicon-dashboard:before {
|
||
content: "\e141";
|
||
}
|
||
.glyphicon-paperclip:before {
|
||
content: "\e142";
|
||
}
|
||
.glyphicon-heart-empty:before {
|
||
content: "\e143";
|
||
}
|
||
.glyphicon-link:before {
|
||
content: "\e144";
|
||
}
|
||
.glyphicon-phone:before {
|
||
content: "\e145";
|
||
}
|
||
.glyphicon-pushpin:before {
|
||
content: "\e146";
|
||
}
|
||
.glyphicon-usd:before {
|
||
content: "\e148";
|
||
}
|
||
.glyphicon-gbp:before {
|
||
content: "\e149";
|
||
}
|
||
.glyphicon-sort:before {
|
||
content: "\e150";
|
||
}
|
||
.glyphicon-sort-by-alphabet:before {
|
||
content: "\e151";
|
||
}
|
||
.glyphicon-sort-by-alphabet-alt:before {
|
||
content: "\e152";
|
||
}
|
||
.glyphicon-sort-by-order:before {
|
||
content: "\e153";
|
||
}
|
||
.glyphicon-sort-by-order-alt:before {
|
||
content: "\e154";
|
||
}
|
||
.glyphicon-sort-by-attributes:before {
|
||
content: "\e155";
|
||
}
|
||
.glyphicon-sort-by-attributes-alt:before {
|
||
content: "\e156";
|
||
}
|
||
.glyphicon-unchecked:before {
|
||
content: "\e157";
|
||
}
|
||
.glyphicon-expand:before {
|
||
content: "\e158";
|
||
}
|
||
.glyphicon-collapse-down:before {
|
||
content: "\e159";
|
||
}
|
||
.glyphicon-collapse-up:before {
|
||
content: "\e160";
|
||
}
|
||
.glyphicon-log-in:before {
|
||
content: "\e161";
|
||
}
|
||
.glyphicon-flash:before {
|
||
content: "\e162";
|
||
}
|
||
.glyphicon-log-out:before {
|
||
content: "\e163";
|
||
}
|
||
.glyphicon-new-window:before {
|
||
content: "\e164";
|
||
}
|
||
.glyphicon-record:before {
|
||
content: "\e165";
|
||
}
|
||
.glyphicon-save:before {
|
||
content: "\e166";
|
||
}
|
||
.glyphicon-open:before {
|
||
content: "\e167";
|
||
}
|
||
.glyphicon-saved:before {
|
||
content: "\e168";
|
||
}
|
||
.glyphicon-import:before {
|
||
content: "\e169";
|
||
}
|
||
.glyphicon-export:before {
|
||
content: "\e170";
|
||
}
|
||
.glyphicon-send:before {
|
||
content: "\e171";
|
||
}
|
||
.glyphicon-floppy-disk:before {
|
||
content: "\e172";
|
||
}
|
||
.glyphicon-floppy-saved:before {
|
||
content: "\e173";
|
||
}
|
||
.glyphicon-floppy-remove:before {
|
||
content: "\e174";
|
||
}
|
||
.glyphicon-floppy-save:before {
|
||
content: "\e175";
|
||
}
|
||
.glyphicon-floppy-open:before {
|
||
content: "\e176";
|
||
}
|
||
.glyphicon-credit-card:before {
|
||
content: "\e177";
|
||
}
|
||
.glyphicon-transfer:before {
|
||
content: "\e178";
|
||
}
|
||
.glyphicon-cutlery:before {
|
||
content: "\e179";
|
||
}
|
||
.glyphicon-header:before {
|
||
content: "\e180";
|
||
}
|
||
.glyphicon-compressed:before {
|
||
content: "\e181";
|
||
}
|
||
.glyphicon-earphone:before {
|
||
content: "\e182";
|
||
}
|
||
.glyphicon-phone-alt:before {
|
||
content: "\e183";
|
||
}
|
||
.glyphicon-tower:before {
|
||
content: "\e184";
|
||
}
|
||
.glyphicon-stats:before {
|
||
content: "\e185";
|
||
}
|
||
.glyphicon-sd-video:before {
|
||
content: "\e186";
|
||
}
|
||
.glyphicon-hd-video:before {
|
||
content: "\e187";
|
||
}
|
||
.glyphicon-subtitles:before {
|
||
content: "\e188";
|
||
}
|
||
.glyphicon-sound-stereo:before {
|
||
content: "\e189";
|
||
}
|
||
.glyphicon-sound-dolby:before {
|
||
content: "\e190";
|
||
}
|
||
.glyphicon-sound-5-1:before {
|
||
content: "\e191";
|
||
}
|
||
.glyphicon-sound-6-1:before {
|
||
content: "\e192";
|
||
}
|
||
.glyphicon-sound-7-1:before {
|
||
content: "\e193";
|
||
}
|
||
.glyphicon-copyright-mark:before {
|
||
content: "\e194";
|
||
}
|
||
.glyphicon-registration-mark:before {
|
||
content: "\e195";
|
||
}
|
||
.glyphicon-cloud-download:before {
|
||
content: "\e197";
|
||
}
|
||
.glyphicon-cloud-upload:before {
|
||
content: "\e198";
|
||
}
|
||
.glyphicon-tree-conifer:before {
|
||
content: "\e199";
|
||
}
|
||
.glyphicon-tree-deciduous:before {
|
||
content: "\e200";
|
||
}
|
||
.glyphicon-cd:before {
|
||
content: "\e201";
|
||
}
|
||
.glyphicon-save-file:before {
|
||
content: "\e202";
|
||
}
|
||
.glyphicon-open-file:before {
|
||
content: "\e203";
|
||
}
|
||
.glyphicon-level-up:before {
|
||
content: "\e204";
|
||
}
|
||
.glyphicon-copy:before {
|
||
content: "\e205";
|
||
}
|
||
.glyphicon-paste:before {
|
||
content: "\e206";
|
||
}
|
||
.glyphicon-alert:before {
|
||
content: "\e209";
|
||
}
|
||
.glyphicon-equalizer:before {
|
||
content: "\e210";
|
||
}
|
||
.glyphicon-king:before {
|
||
content: "\e211";
|
||
}
|
||
.glyphicon-queen:before {
|
||
content: "\e212";
|
||
}
|
||
.glyphicon-pawn:before {
|
||
content: "\e213";
|
||
}
|
||
.glyphicon-bishop:before {
|
||
content: "\e214";
|
||
}
|
||
.glyphicon-knight:before {
|
||
content: "\e215";
|
||
}
|
||
.glyphicon-baby-formula:before {
|
||
content: "\e216";
|
||
}
|
||
.glyphicon-tent:before {
|
||
content: "\26fa";
|
||
}
|
||
.glyphicon-blackboard:before {
|
||
content: "\e218";
|
||
}
|
||
.glyphicon-bed:before {
|
||
content: "\e219";
|
||
}
|
||
.glyphicon-apple:before {
|
||
content: "\f8ff";
|
||
}
|
||
.glyphicon-erase:before {
|
||
content: "\e221";
|
||
}
|
||
.glyphicon-hourglass:before {
|
||
content: "\231b";
|
||
}
|
||
.glyphicon-lamp:before {
|
||
content: "\e223";
|
||
}
|
||
.glyphicon-duplicate:before {
|
||
content: "\e224";
|
||
}
|
||
.glyphicon-piggy-bank:before {
|
||
content: "\e225";
|
||
}
|
||
.glyphicon-scissors:before {
|
||
content: "\e226";
|
||
}
|
||
.glyphicon-bitcoin:before {
|
||
content: "\e227";
|
||
}
|
||
.glyphicon-btc:before {
|
||
content: "\e227";
|
||
}
|
||
.glyphicon-xbt:before {
|
||
content: "\e227";
|
||
}
|
||
.glyphicon-yen:before {
|
||
content: "\00a5";
|
||
}
|
||
.glyphicon-jpy:before {
|
||
content: "\00a5";
|
||
}
|
||
.glyphicon-ruble:before {
|
||
content: "\20bd";
|
||
}
|
||
.glyphicon-rub:before {
|
||
content: "\20bd";
|
||
}
|
||
.glyphicon-scale:before {
|
||
content: "\e230";
|
||
}
|
||
.glyphicon-ice-lolly:before {
|
||
content: "\e231";
|
||
}
|
||
.glyphicon-ice-lolly-tasted:before {
|
||
content: "\e232";
|
||
}
|
||
.glyphicon-education:before {
|
||
content: "\e233";
|
||
}
|
||
.glyphicon-option-horizontal:before {
|
||
content: "\e234";
|
||
}
|
||
.glyphicon-option-vertical:before {
|
||
content: "\e235";
|
||
}
|
||
.glyphicon-menu-hamburger:before {
|
||
content: "\e236";
|
||
}
|
||
.glyphicon-modal-window:before {
|
||
content: "\e237";
|
||
}
|
||
.glyphicon-oil:before {
|
||
content: "\e238";
|
||
}
|
||
.glyphicon-grain:before {
|
||
content: "\e239";
|
||
}
|
||
.glyphicon-sunglasses:before {
|
||
content: "\e240";
|
||
}
|
||
.glyphicon-text-size:before {
|
||
content: "\e241";
|
||
}
|
||
.glyphicon-text-color:before {
|
||
content: "\e242";
|
||
}
|
||
.glyphicon-text-background:before {
|
||
content: "\e243";
|
||
}
|
||
.glyphicon-object-align-top:before {
|
||
content: "\e244";
|
||
}
|
||
.glyphicon-object-align-bottom:before {
|
||
content: "\e245";
|
||
}
|
||
.glyphicon-object-align-horizontal:before {
|
||
content: "\e246";
|
||
}
|
||
.glyphicon-object-align-left:before {
|
||
content: "\e247";
|
||
}
|
||
.glyphicon-object-align-vertical:before {
|
||
content: "\e248";
|
||
}
|
||
.glyphicon-object-align-right:before {
|
||
content: "\e249";
|
||
}
|
||
.glyphicon-triangle-right:before {
|
||
content: "\e250";
|
||
}
|
||
.glyphicon-triangle-left:before {
|
||
content: "\e251";
|
||
}
|
||
.glyphicon-triangle-bottom:before {
|
||
content: "\e252";
|
||
}
|
||
.glyphicon-triangle-top:before {
|
||
content: "\e253";
|
||
}
|
||
.glyphicon-console:before {
|
||
content: "\e254";
|
||
}
|
||
.glyphicon-superscript:before {
|
||
content: "\e255";
|
||
}
|
||
.glyphicon-subscript:before {
|
||
content: "\e256";
|
||
}
|
||
.glyphicon-menu-left:before {
|
||
content: "\e257";
|
||
}
|
||
.glyphicon-menu-right:before {
|
||
content: "\e258";
|
||
}
|
||
.glyphicon-menu-down:before {
|
||
content: "\e259";
|
||
}
|
||
.glyphicon-menu-up:before {
|
||
content: "\e260";
|
||
}
|
||
* {
|
||
-webkit-box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
box-sizing: border-box;
|
||
}
|
||
*:before,
|
||
*:after {
|
||
-webkit-box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
box-sizing: border-box;
|
||
}
|
||
html {
|
||
font-size: 10px;
|
||
-webkit-tap-highlight-color: rgba(0, 0, 0, 0);
|
||
}
|
||
body {
|
||
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
|
||
font-size: 13px;
|
||
line-height: 1.42857143;
|
||
color: #000;
|
||
background-color: #fff;
|
||
}
|
||
input,
|
||
button,
|
||
select,
|
||
textarea {
|
||
font-family: inherit;
|
||
font-size: inherit;
|
||
line-height: inherit;
|
||
}
|
||
a {
|
||
color: #337ab7;
|
||
text-decoration: none;
|
||
}
|
||
a:hover,
|
||
a:focus {
|
||
color: #23527c;
|
||
text-decoration: underline;
|
||
}
|
||
a:focus {
|
||
outline: 5px auto -webkit-focus-ring-color;
|
||
outline-offset: -2px;
|
||
}
|
||
figure {
|
||
margin: 0;
|
||
}
|
||
img {
|
||
vertical-align: middle;
|
||
}
|
||
.img-responsive,
|
||
.thumbnail > img,
|
||
.thumbnail a > img,
|
||
.carousel-inner > .item > img,
|
||
.carousel-inner > .item > a > img {
|
||
display: block;
|
||
max-width: 100%;
|
||
height: auto;
|
||
}
|
||
.img-rounded {
|
||
border-radius: 3px;
|
||
}
|
||
.img-thumbnail {
|
||
padding: 4px;
|
||
line-height: 1.42857143;
|
||
background-color: #fff;
|
||
border: 1px solid #ddd;
|
||
border-radius: 2px;
|
||
-webkit-transition: all 0.2s ease-in-out;
|
||
-o-transition: all 0.2s ease-in-out;
|
||
transition: all 0.2s ease-in-out;
|
||
display: inline-block;
|
||
max-width: 100%;
|
||
height: auto;
|
||
}
|
||
.img-circle {
|
||
border-radius: 50%;
|
||
}
|
||
hr {
|
||
margin-top: 18px;
|
||
margin-bottom: 18px;
|
||
border: 0;
|
||
border-top: 1px solid #eeeeee;
|
||
}
|
||
.sr-only {
|
||
position: absolute;
|
||
width: 1px;
|
||
height: 1px;
|
||
margin: -1px;
|
||
padding: 0;
|
||
overflow: hidden;
|
||
clip: rect(0, 0, 0, 0);
|
||
border: 0;
|
||
}
|
||
.sr-only-focusable:active,
|
||
.sr-only-focusable:focus {
|
||
position: static;
|
||
width: auto;
|
||
height: auto;
|
||
margin: 0;
|
||
overflow: visible;
|
||
clip: auto;
|
||
}
|
||
[role="button"] {
|
||
cursor: pointer;
|
||
}
|
||
h1,
|
||
h2,
|
||
h3,
|
||
h4,
|
||
h5,
|
||
h6,
|
||
.h1,
|
||
.h2,
|
||
.h3,
|
||
.h4,
|
||
.h5,
|
||
.h6 {
|
||
font-family: inherit;
|
||
font-weight: 500;
|
||
line-height: 1.1;
|
||
color: inherit;
|
||
}
|
||
h1 small,
|
||
h2 small,
|
||
h3 small,
|
||
h4 small,
|
||
h5 small,
|
||
h6 small,
|
||
.h1 small,
|
||
.h2 small,
|
||
.h3 small,
|
||
.h4 small,
|
||
.h5 small,
|
||
.h6 small,
|
||
h1 .small,
|
||
h2 .small,
|
||
h3 .small,
|
||
h4 .small,
|
||
h5 .small,
|
||
h6 .small,
|
||
.h1 .small,
|
||
.h2 .small,
|
||
.h3 .small,
|
||
.h4 .small,
|
||
.h5 .small,
|
||
.h6 .small {
|
||
font-weight: normal;
|
||
line-height: 1;
|
||
color: #777777;
|
||
}
|
||
h1,
|
||
.h1,
|
||
h2,
|
||
.h2,
|
||
h3,
|
||
.h3 {
|
||
margin-top: 18px;
|
||
margin-bottom: 9px;
|
||
}
|
||
h1 small,
|
||
.h1 small,
|
||
h2 small,
|
||
.h2 small,
|
||
h3 small,
|
||
.h3 small,
|
||
h1 .small,
|
||
.h1 .small,
|
||
h2 .small,
|
||
.h2 .small,
|
||
h3 .small,
|
||
.h3 .small {
|
||
font-size: 65%;
|
||
}
|
||
h4,
|
||
.h4,
|
||
h5,
|
||
.h5,
|
||
h6,
|
||
.h6 {
|
||
margin-top: 9px;
|
||
margin-bottom: 9px;
|
||
}
|
||
h4 small,
|
||
.h4 small,
|
||
h5 small,
|
||
.h5 small,
|
||
h6 small,
|
||
.h6 small,
|
||
h4 .small,
|
||
.h4 .small,
|
||
h5 .small,
|
||
.h5 .small,
|
||
h6 .small,
|
||
.h6 .small {
|
||
font-size: 75%;
|
||
}
|
||
h1,
|
||
.h1 {
|
||
font-size: 33px;
|
||
}
|
||
h2,
|
||
.h2 {
|
||
font-size: 27px;
|
||
}
|
||
h3,
|
||
.h3 {
|
||
font-size: 23px;
|
||
}
|
||
h4,
|
||
.h4 {
|
||
font-size: 17px;
|
||
}
|
||
h5,
|
||
.h5 {
|
||
font-size: 13px;
|
||
}
|
||
h6,
|
||
.h6 {
|
||
font-size: 12px;
|
||
}
|
||
p {
|
||
margin: 0 0 9px;
|
||
}
|
||
.lead {
|
||
margin-bottom: 18px;
|
||
font-size: 14px;
|
||
font-weight: 300;
|
||
line-height: 1.4;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.lead {
|
||
font-size: 19.5px;
|
||
}
|
||
}
|
||
small,
|
||
.small {
|
||
font-size: 92%;
|
||
}
|
||
mark,
|
||
.mark {
|
||
background-color: #fcf8e3;
|
||
padding: .2em;
|
||
}
|
||
.text-left {
|
||
text-align: left;
|
||
}
|
||
.text-right {
|
||
text-align: right;
|
||
}
|
||
.text-center {
|
||
text-align: center;
|
||
}
|
||
.text-justify {
|
||
text-align: justify;
|
||
}
|
||
.text-nowrap {
|
||
white-space: nowrap;
|
||
}
|
||
.text-lowercase {
|
||
text-transform: lowercase;
|
||
}
|
||
.text-uppercase {
|
||
text-transform: uppercase;
|
||
}
|
||
.text-capitalize {
|
||
text-transform: capitalize;
|
||
}
|
||
.text-muted {
|
||
color: #777777;
|
||
}
|
||
.text-primary {
|
||
color: #337ab7;
|
||
}
|
||
a.text-primary:hover,
|
||
a.text-primary:focus {
|
||
color: #286090;
|
||
}
|
||
.text-success {
|
||
color: #3c763d;
|
||
}
|
||
a.text-success:hover,
|
||
a.text-success:focus {
|
||
color: #2b542c;
|
||
}
|
||
.text-info {
|
||
color: #31708f;
|
||
}
|
||
a.text-info:hover,
|
||
a.text-info:focus {
|
||
color: #245269;
|
||
}
|
||
.text-warning {
|
||
color: #8a6d3b;
|
||
}
|
||
a.text-warning:hover,
|
||
a.text-warning:focus {
|
||
color: #66512c;
|
||
}
|
||
.text-danger {
|
||
color: #a94442;
|
||
}
|
||
a.text-danger:hover,
|
||
a.text-danger:focus {
|
||
color: #843534;
|
||
}
|
||
.bg-primary {
|
||
color: #fff;
|
||
background-color: #337ab7;
|
||
}
|
||
a.bg-primary:hover,
|
||
a.bg-primary:focus {
|
||
background-color: #286090;
|
||
}
|
||
.bg-success {
|
||
background-color: #dff0d8;
|
||
}
|
||
a.bg-success:hover,
|
||
a.bg-success:focus {
|
||
background-color: #c1e2b3;
|
||
}
|
||
.bg-info {
|
||
background-color: #d9edf7;
|
||
}
|
||
a.bg-info:hover,
|
||
a.bg-info:focus {
|
||
background-color: #afd9ee;
|
||
}
|
||
.bg-warning {
|
||
background-color: #fcf8e3;
|
||
}
|
||
a.bg-warning:hover,
|
||
a.bg-warning:focus {
|
||
background-color: #f7ecb5;
|
||
}
|
||
.bg-danger {
|
||
background-color: #f2dede;
|
||
}
|
||
a.bg-danger:hover,
|
||
a.bg-danger:focus {
|
||
background-color: #e4b9b9;
|
||
}
|
||
.page-header {
|
||
padding-bottom: 8px;
|
||
margin: 36px 0 18px;
|
||
border-bottom: 1px solid #eeeeee;
|
||
}
|
||
ul,
|
||
ol {
|
||
margin-top: 0;
|
||
margin-bottom: 9px;
|
||
}
|
||
ul ul,
|
||
ol ul,
|
||
ul ol,
|
||
ol ol {
|
||
margin-bottom: 0;
|
||
}
|
||
.list-unstyled {
|
||
padding-left: 0;
|
||
list-style: none;
|
||
}
|
||
.list-inline {
|
||
padding-left: 0;
|
||
list-style: none;
|
||
margin-left: -5px;
|
||
}
|
||
.list-inline > li {
|
||
display: inline-block;
|
||
padding-left: 5px;
|
||
padding-right: 5px;
|
||
}
|
||
dl {
|
||
margin-top: 0;
|
||
margin-bottom: 18px;
|
||
}
|
||
dt,
|
||
dd {
|
||
line-height: 1.42857143;
|
||
}
|
||
dt {
|
||
font-weight: bold;
|
||
}
|
||
dd {
|
||
margin-left: 0;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.dl-horizontal dt {
|
||
float: left;
|
||
width: 160px;
|
||
clear: left;
|
||
text-align: right;
|
||
overflow: hidden;
|
||
text-overflow: ellipsis;
|
||
white-space: nowrap;
|
||
}
|
||
.dl-horizontal dd {
|
||
margin-left: 180px;
|
||
}
|
||
}
|
||
abbr[title],
|
||
abbr[data-original-title] {
|
||
cursor: help;
|
||
border-bottom: 1px dotted #777777;
|
||
}
|
||
.initialism {
|
||
font-size: 90%;
|
||
text-transform: uppercase;
|
||
}
|
||
blockquote {
|
||
padding: 9px 18px;
|
||
margin: 0 0 18px;
|
||
font-size: inherit;
|
||
border-left: 5px solid #eeeeee;
|
||
}
|
||
blockquote p:last-child,
|
||
blockquote ul:last-child,
|
||
blockquote ol:last-child {
|
||
margin-bottom: 0;
|
||
}
|
||
blockquote footer,
|
||
blockquote small,
|
||
blockquote .small {
|
||
display: block;
|
||
font-size: 80%;
|
||
line-height: 1.42857143;
|
||
color: #777777;
|
||
}
|
||
blockquote footer:before,
|
||
blockquote small:before,
|
||
blockquote .small:before {
|
||
content: '\2014 \00A0';
|
||
}
|
||
.blockquote-reverse,
|
||
blockquote.pull-right {
|
||
padding-right: 15px;
|
||
padding-left: 0;
|
||
border-right: 5px solid #eeeeee;
|
||
border-left: 0;
|
||
text-align: right;
|
||
}
|
||
.blockquote-reverse footer:before,
|
||
blockquote.pull-right footer:before,
|
||
.blockquote-reverse small:before,
|
||
blockquote.pull-right small:before,
|
||
.blockquote-reverse .small:before,
|
||
blockquote.pull-right .small:before {
|
||
content: '';
|
||
}
|
||
.blockquote-reverse footer:after,
|
||
blockquote.pull-right footer:after,
|
||
.blockquote-reverse small:after,
|
||
blockquote.pull-right small:after,
|
||
.blockquote-reverse .small:after,
|
||
blockquote.pull-right .small:after {
|
||
content: '\00A0 \2014';
|
||
}
|
||
address {
|
||
margin-bottom: 18px;
|
||
font-style: normal;
|
||
line-height: 1.42857143;
|
||
}
|
||
code,
|
||
kbd,
|
||
pre,
|
||
samp {
|
||
font-family: monospace;
|
||
}
|
||
code {
|
||
padding: 2px 4px;
|
||
font-size: 90%;
|
||
color: #c7254e;
|
||
background-color: #f9f2f4;
|
||
border-radius: 2px;
|
||
}
|
||
kbd {
|
||
padding: 2px 4px;
|
||
font-size: 90%;
|
||
color: #888;
|
||
background-color: transparent;
|
||
border-radius: 1px;
|
||
box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
|
||
}
|
||
kbd kbd {
|
||
padding: 0;
|
||
font-size: 100%;
|
||
font-weight: bold;
|
||
box-shadow: none;
|
||
}
|
||
pre {
|
||
display: block;
|
||
padding: 8.5px;
|
||
margin: 0 0 9px;
|
||
font-size: 12px;
|
||
line-height: 1.42857143;
|
||
word-break: break-all;
|
||
word-wrap: break-word;
|
||
color: #333333;
|
||
background-color: #f5f5f5;
|
||
border: 1px solid #ccc;
|
||
border-radius: 2px;
|
||
}
|
||
pre code {
|
||
padding: 0;
|
||
font-size: inherit;
|
||
color: inherit;
|
||
white-space: pre-wrap;
|
||
background-color: transparent;
|
||
border-radius: 0;
|
||
}
|
||
.pre-scrollable {
|
||
max-height: 340px;
|
||
overflow-y: scroll;
|
||
}
|
||
.container {
|
||
margin-right: auto;
|
||
margin-left: auto;
|
||
padding-left: 0px;
|
||
padding-right: 0px;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.container {
|
||
width: 768px;
|
||
}
|
||
}
|
||
@media (min-width: 992px) {
|
||
.container {
|
||
width: 940px;
|
||
}
|
||
}
|
||
@media (min-width: 1200px) {
|
||
.container {
|
||
width: 1140px;
|
||
}
|
||
}
|
||
.container-fluid {
|
||
margin-right: auto;
|
||
margin-left: auto;
|
||
padding-left: 0px;
|
||
padding-right: 0px;
|
||
}
|
||
.row {
|
||
margin-left: 0px;
|
||
margin-right: 0px;
|
||
}
|
||
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
|
||
position: relative;
|
||
min-height: 1px;
|
||
padding-left: 0px;
|
||
padding-right: 0px;
|
||
}
|
||
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
|
||
float: left;
|
||
}
|
||
.col-xs-12 {
|
||
width: 100%;
|
||
}
|
||
.col-xs-11 {
|
||
width: 91.66666667%;
|
||
}
|
||
.col-xs-10 {
|
||
width: 83.33333333%;
|
||
}
|
||
.col-xs-9 {
|
||
width: 75%;
|
||
}
|
||
.col-xs-8 {
|
||
width: 66.66666667%;
|
||
}
|
||
.col-xs-7 {
|
||
width: 58.33333333%;
|
||
}
|
||
.col-xs-6 {
|
||
width: 50%;
|
||
}
|
||
.col-xs-5 {
|
||
width: 41.66666667%;
|
||
}
|
||
.col-xs-4 {
|
||
width: 33.33333333%;
|
||
}
|
||
.col-xs-3 {
|
||
width: 25%;
|
||
}
|
||
.col-xs-2 {
|
||
width: 16.66666667%;
|
||
}
|
||
.col-xs-1 {
|
||
width: 8.33333333%;
|
||
}
|
||
.col-xs-pull-12 {
|
||
right: 100%;
|
||
}
|
||
.col-xs-pull-11 {
|
||
right: 91.66666667%;
|
||
}
|
||
.col-xs-pull-10 {
|
||
right: 83.33333333%;
|
||
}
|
||
.col-xs-pull-9 {
|
||
right: 75%;
|
||
}
|
||
.col-xs-pull-8 {
|
||
right: 66.66666667%;
|
||
}
|
||
.col-xs-pull-7 {
|
||
right: 58.33333333%;
|
||
}
|
||
.col-xs-pull-6 {
|
||
right: 50%;
|
||
}
|
||
.col-xs-pull-5 {
|
||
right: 41.66666667%;
|
||
}
|
||
.col-xs-pull-4 {
|
||
right: 33.33333333%;
|
||
}
|
||
.col-xs-pull-3 {
|
||
right: 25%;
|
||
}
|
||
.col-xs-pull-2 {
|
||
right: 16.66666667%;
|
||
}
|
||
.col-xs-pull-1 {
|
||
right: 8.33333333%;
|
||
}
|
||
.col-xs-pull-0 {
|
||
right: auto;
|
||
}
|
||
.col-xs-push-12 {
|
||
left: 100%;
|
||
}
|
||
.col-xs-push-11 {
|
||
left: 91.66666667%;
|
||
}
|
||
.col-xs-push-10 {
|
||
left: 83.33333333%;
|
||
}
|
||
.col-xs-push-9 {
|
||
left: 75%;
|
||
}
|
||
.col-xs-push-8 {
|
||
left: 66.66666667%;
|
||
}
|
||
.col-xs-push-7 {
|
||
left: 58.33333333%;
|
||
}
|
||
.col-xs-push-6 {
|
||
left: 50%;
|
||
}
|
||
.col-xs-push-5 {
|
||
left: 41.66666667%;
|
||
}
|
||
.col-xs-push-4 {
|
||
left: 33.33333333%;
|
||
}
|
||
.col-xs-push-3 {
|
||
left: 25%;
|
||
}
|
||
.col-xs-push-2 {
|
||
left: 16.66666667%;
|
||
}
|
||
.col-xs-push-1 {
|
||
left: 8.33333333%;
|
||
}
|
||
.col-xs-push-0 {
|
||
left: auto;
|
||
}
|
||
.col-xs-offset-12 {
|
||
margin-left: 100%;
|
||
}
|
||
.col-xs-offset-11 {
|
||
margin-left: 91.66666667%;
|
||
}
|
||
.col-xs-offset-10 {
|
||
margin-left: 83.33333333%;
|
||
}
|
||
.col-xs-offset-9 {
|
||
margin-left: 75%;
|
||
}
|
||
.col-xs-offset-8 {
|
||
margin-left: 66.66666667%;
|
||
}
|
||
.col-xs-offset-7 {
|
||
margin-left: 58.33333333%;
|
||
}
|
||
.col-xs-offset-6 {
|
||
margin-left: 50%;
|
||
}
|
||
.col-xs-offset-5 {
|
||
margin-left: 41.66666667%;
|
||
}
|
||
.col-xs-offset-4 {
|
||
margin-left: 33.33333333%;
|
||
}
|
||
.col-xs-offset-3 {
|
||
margin-left: 25%;
|
||
}
|
||
.col-xs-offset-2 {
|
||
margin-left: 16.66666667%;
|
||
}
|
||
.col-xs-offset-1 {
|
||
margin-left: 8.33333333%;
|
||
}
|
||
.col-xs-offset-0 {
|
||
margin-left: 0%;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
|
||
float: left;
|
||
}
|
||
.col-sm-12 {
|
||
width: 100%;
|
||
}
|
||
.col-sm-11 {
|
||
width: 91.66666667%;
|
||
}
|
||
.col-sm-10 {
|
||
width: 83.33333333%;
|
||
}
|
||
.col-sm-9 {
|
||
width: 75%;
|
||
}
|
||
.col-sm-8 {
|
||
width: 66.66666667%;
|
||
}
|
||
.col-sm-7 {
|
||
width: 58.33333333%;
|
||
}
|
||
.col-sm-6 {
|
||
width: 50%;
|
||
}
|
||
.col-sm-5 {
|
||
width: 41.66666667%;
|
||
}
|
||
.col-sm-4 {
|
||
width: 33.33333333%;
|
||
}
|
||
.col-sm-3 {
|
||
width: 25%;
|
||
}
|
||
.col-sm-2 {
|
||
width: 16.66666667%;
|
||
}
|
||
.col-sm-1 {
|
||
width: 8.33333333%;
|
||
}
|
||
.col-sm-pull-12 {
|
||
right: 100%;
|
||
}
|
||
.col-sm-pull-11 {
|
||
right: 91.66666667%;
|
||
}
|
||
.col-sm-pull-10 {
|
||
right: 83.33333333%;
|
||
}
|
||
.col-sm-pull-9 {
|
||
right: 75%;
|
||
}
|
||
.col-sm-pull-8 {
|
||
right: 66.66666667%;
|
||
}
|
||
.col-sm-pull-7 {
|
||
right: 58.33333333%;
|
||
}
|
||
.col-sm-pull-6 {
|
||
right: 50%;
|
||
}
|
||
.col-sm-pull-5 {
|
||
right: 41.66666667%;
|
||
}
|
||
.col-sm-pull-4 {
|
||
right: 33.33333333%;
|
||
}
|
||
.col-sm-pull-3 {
|
||
right: 25%;
|
||
}
|
||
.col-sm-pull-2 {
|
||
right: 16.66666667%;
|
||
}
|
||
.col-sm-pull-1 {
|
||
right: 8.33333333%;
|
||
}
|
||
.col-sm-pull-0 {
|
||
right: auto;
|
||
}
|
||
.col-sm-push-12 {
|
||
left: 100%;
|
||
}
|
||
.col-sm-push-11 {
|
||
left: 91.66666667%;
|
||
}
|
||
.col-sm-push-10 {
|
||
left: 83.33333333%;
|
||
}
|
||
.col-sm-push-9 {
|
||
left: 75%;
|
||
}
|
||
.col-sm-push-8 {
|
||
left: 66.66666667%;
|
||
}
|
||
.col-sm-push-7 {
|
||
left: 58.33333333%;
|
||
}
|
||
.col-sm-push-6 {
|
||
left: 50%;
|
||
}
|
||
.col-sm-push-5 {
|
||
left: 41.66666667%;
|
||
}
|
||
.col-sm-push-4 {
|
||
left: 33.33333333%;
|
||
}
|
||
.col-sm-push-3 {
|
||
left: 25%;
|
||
}
|
||
.col-sm-push-2 {
|
||
left: 16.66666667%;
|
||
}
|
||
.col-sm-push-1 {
|
||
left: 8.33333333%;
|
||
}
|
||
.col-sm-push-0 {
|
||
left: auto;
|
||
}
|
||
.col-sm-offset-12 {
|
||
margin-left: 100%;
|
||
}
|
||
.col-sm-offset-11 {
|
||
margin-left: 91.66666667%;
|
||
}
|
||
.col-sm-offset-10 {
|
||
margin-left: 83.33333333%;
|
||
}
|
||
.col-sm-offset-9 {
|
||
margin-left: 75%;
|
||
}
|
||
.col-sm-offset-8 {
|
||
margin-left: 66.66666667%;
|
||
}
|
||
.col-sm-offset-7 {
|
||
margin-left: 58.33333333%;
|
||
}
|
||
.col-sm-offset-6 {
|
||
margin-left: 50%;
|
||
}
|
||
.col-sm-offset-5 {
|
||
margin-left: 41.66666667%;
|
||
}
|
||
.col-sm-offset-4 {
|
||
margin-left: 33.33333333%;
|
||
}
|
||
.col-sm-offset-3 {
|
||
margin-left: 25%;
|
||
}
|
||
.col-sm-offset-2 {
|
||
margin-left: 16.66666667%;
|
||
}
|
||
.col-sm-offset-1 {
|
||
margin-left: 8.33333333%;
|
||
}
|
||
.col-sm-offset-0 {
|
||
margin-left: 0%;
|
||
}
|
||
}
|
||
@media (min-width: 992px) {
|
||
.col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
|
||
float: left;
|
||
}
|
||
.col-md-12 {
|
||
width: 100%;
|
||
}
|
||
.col-md-11 {
|
||
width: 91.66666667%;
|
||
}
|
||
.col-md-10 {
|
||
width: 83.33333333%;
|
||
}
|
||
.col-md-9 {
|
||
width: 75%;
|
||
}
|
||
.col-md-8 {
|
||
width: 66.66666667%;
|
||
}
|
||
.col-md-7 {
|
||
width: 58.33333333%;
|
||
}
|
||
.col-md-6 {
|
||
width: 50%;
|
||
}
|
||
.col-md-5 {
|
||
width: 41.66666667%;
|
||
}
|
||
.col-md-4 {
|
||
width: 33.33333333%;
|
||
}
|
||
.col-md-3 {
|
||
width: 25%;
|
||
}
|
||
.col-md-2 {
|
||
width: 16.66666667%;
|
||
}
|
||
.col-md-1 {
|
||
width: 8.33333333%;
|
||
}
|
||
.col-md-pull-12 {
|
||
right: 100%;
|
||
}
|
||
.col-md-pull-11 {
|
||
right: 91.66666667%;
|
||
}
|
||
.col-md-pull-10 {
|
||
right: 83.33333333%;
|
||
}
|
||
.col-md-pull-9 {
|
||
right: 75%;
|
||
}
|
||
.col-md-pull-8 {
|
||
right: 66.66666667%;
|
||
}
|
||
.col-md-pull-7 {
|
||
right: 58.33333333%;
|
||
}
|
||
.col-md-pull-6 {
|
||
right: 50%;
|
||
}
|
||
.col-md-pull-5 {
|
||
right: 41.66666667%;
|
||
}
|
||
.col-md-pull-4 {
|
||
right: 33.33333333%;
|
||
}
|
||
.col-md-pull-3 {
|
||
right: 25%;
|
||
}
|
||
.col-md-pull-2 {
|
||
right: 16.66666667%;
|
||
}
|
||
.col-md-pull-1 {
|
||
right: 8.33333333%;
|
||
}
|
||
.col-md-pull-0 {
|
||
right: auto;
|
||
}
|
||
.col-md-push-12 {
|
||
left: 100%;
|
||
}
|
||
.col-md-push-11 {
|
||
left: 91.66666667%;
|
||
}
|
||
.col-md-push-10 {
|
||
left: 83.33333333%;
|
||
}
|
||
.col-md-push-9 {
|
||
left: 75%;
|
||
}
|
||
.col-md-push-8 {
|
||
left: 66.66666667%;
|
||
}
|
||
.col-md-push-7 {
|
||
left: 58.33333333%;
|
||
}
|
||
.col-md-push-6 {
|
||
left: 50%;
|
||
}
|
||
.col-md-push-5 {
|
||
left: 41.66666667%;
|
||
}
|
||
.col-md-push-4 {
|
||
left: 33.33333333%;
|
||
}
|
||
.col-md-push-3 {
|
||
left: 25%;
|
||
}
|
||
.col-md-push-2 {
|
||
left: 16.66666667%;
|
||
}
|
||
.col-md-push-1 {
|
||
left: 8.33333333%;
|
||
}
|
||
.col-md-push-0 {
|
||
left: auto;
|
||
}
|
||
.col-md-offset-12 {
|
||
margin-left: 100%;
|
||
}
|
||
.col-md-offset-11 {
|
||
margin-left: 91.66666667%;
|
||
}
|
||
.col-md-offset-10 {
|
||
margin-left: 83.33333333%;
|
||
}
|
||
.col-md-offset-9 {
|
||
margin-left: 75%;
|
||
}
|
||
.col-md-offset-8 {
|
||
margin-left: 66.66666667%;
|
||
}
|
||
.col-md-offset-7 {
|
||
margin-left: 58.33333333%;
|
||
}
|
||
.col-md-offset-6 {
|
||
margin-left: 50%;
|
||
}
|
||
.col-md-offset-5 {
|
||
margin-left: 41.66666667%;
|
||
}
|
||
.col-md-offset-4 {
|
||
margin-left: 33.33333333%;
|
||
}
|
||
.col-md-offset-3 {
|
||
margin-left: 25%;
|
||
}
|
||
.col-md-offset-2 {
|
||
margin-left: 16.66666667%;
|
||
}
|
||
.col-md-offset-1 {
|
||
margin-left: 8.33333333%;
|
||
}
|
||
.col-md-offset-0 {
|
||
margin-left: 0%;
|
||
}
|
||
}
|
||
@media (min-width: 1200px) {
|
||
.col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
|
||
float: left;
|
||
}
|
||
.col-lg-12 {
|
||
width: 100%;
|
||
}
|
||
.col-lg-11 {
|
||
width: 91.66666667%;
|
||
}
|
||
.col-lg-10 {
|
||
width: 83.33333333%;
|
||
}
|
||
.col-lg-9 {
|
||
width: 75%;
|
||
}
|
||
.col-lg-8 {
|
||
width: 66.66666667%;
|
||
}
|
||
.col-lg-7 {
|
||
width: 58.33333333%;
|
||
}
|
||
.col-lg-6 {
|
||
width: 50%;
|
||
}
|
||
.col-lg-5 {
|
||
width: 41.66666667%;
|
||
}
|
||
.col-lg-4 {
|
||
width: 33.33333333%;
|
||
}
|
||
.col-lg-3 {
|
||
width: 25%;
|
||
}
|
||
.col-lg-2 {
|
||
width: 16.66666667%;
|
||
}
|
||
.col-lg-1 {
|
||
width: 8.33333333%;
|
||
}
|
||
.col-lg-pull-12 {
|
||
right: 100%;
|
||
}
|
||
.col-lg-pull-11 {
|
||
right: 91.66666667%;
|
||
}
|
||
.col-lg-pull-10 {
|
||
right: 83.33333333%;
|
||
}
|
||
.col-lg-pull-9 {
|
||
right: 75%;
|
||
}
|
||
.col-lg-pull-8 {
|
||
right: 66.66666667%;
|
||
}
|
||
.col-lg-pull-7 {
|
||
right: 58.33333333%;
|
||
}
|
||
.col-lg-pull-6 {
|
||
right: 50%;
|
||
}
|
||
.col-lg-pull-5 {
|
||
right: 41.66666667%;
|
||
}
|
||
.col-lg-pull-4 {
|
||
right: 33.33333333%;
|
||
}
|
||
.col-lg-pull-3 {
|
||
right: 25%;
|
||
}
|
||
.col-lg-pull-2 {
|
||
right: 16.66666667%;
|
||
}
|
||
.col-lg-pull-1 {
|
||
right: 8.33333333%;
|
||
}
|
||
.col-lg-pull-0 {
|
||
right: auto;
|
||
}
|
||
.col-lg-push-12 {
|
||
left: 100%;
|
||
}
|
||
.col-lg-push-11 {
|
||
left: 91.66666667%;
|
||
}
|
||
.col-lg-push-10 {
|
||
left: 83.33333333%;
|
||
}
|
||
.col-lg-push-9 {
|
||
left: 75%;
|
||
}
|
||
.col-lg-push-8 {
|
||
left: 66.66666667%;
|
||
}
|
||
.col-lg-push-7 {
|
||
left: 58.33333333%;
|
||
}
|
||
.col-lg-push-6 {
|
||
left: 50%;
|
||
}
|
||
.col-lg-push-5 {
|
||
left: 41.66666667%;
|
||
}
|
||
.col-lg-push-4 {
|
||
left: 33.33333333%;
|
||
}
|
||
.col-lg-push-3 {
|
||
left: 25%;
|
||
}
|
||
.col-lg-push-2 {
|
||
left: 16.66666667%;
|
||
}
|
||
.col-lg-push-1 {
|
||
left: 8.33333333%;
|
||
}
|
||
.col-lg-push-0 {
|
||
left: auto;
|
||
}
|
||
.col-lg-offset-12 {
|
||
margin-left: 100%;
|
||
}
|
||
.col-lg-offset-11 {
|
||
margin-left: 91.66666667%;
|
||
}
|
||
.col-lg-offset-10 {
|
||
margin-left: 83.33333333%;
|
||
}
|
||
.col-lg-offset-9 {
|
||
margin-left: 75%;
|
||
}
|
||
.col-lg-offset-8 {
|
||
margin-left: 66.66666667%;
|
||
}
|
||
.col-lg-offset-7 {
|
||
margin-left: 58.33333333%;
|
||
}
|
||
.col-lg-offset-6 {
|
||
margin-left: 50%;
|
||
}
|
||
.col-lg-offset-5 {
|
||
margin-left: 41.66666667%;
|
||
}
|
||
.col-lg-offset-4 {
|
||
margin-left: 33.33333333%;
|
||
}
|
||
.col-lg-offset-3 {
|
||
margin-left: 25%;
|
||
}
|
||
.col-lg-offset-2 {
|
||
margin-left: 16.66666667%;
|
||
}
|
||
.col-lg-offset-1 {
|
||
margin-left: 8.33333333%;
|
||
}
|
||
.col-lg-offset-0 {
|
||
margin-left: 0%;
|
||
}
|
||
}
|
||
table {
|
||
background-color: transparent;
|
||
}
|
||
caption {
|
||
padding-top: 8px;
|
||
padding-bottom: 8px;
|
||
color: #777777;
|
||
text-align: left;
|
||
}
|
||
th {
|
||
text-align: left;
|
||
}
|
||
.table {
|
||
width: 100%;
|
||
max-width: 100%;
|
||
margin-bottom: 18px;
|
||
}
|
||
.table > thead > tr > th,
|
||
.table > tbody > tr > th,
|
||
.table > tfoot > tr > th,
|
||
.table > thead > tr > td,
|
||
.table > tbody > tr > td,
|
||
.table > tfoot > tr > td {
|
||
padding: 8px;
|
||
line-height: 1.42857143;
|
||
vertical-align: top;
|
||
border-top: 1px solid #ddd;
|
||
}
|
||
.table > thead > tr > th {
|
||
vertical-align: bottom;
|
||
border-bottom: 2px solid #ddd;
|
||
}
|
||
.table > caption + thead > tr:first-child > th,
|
||
.table > colgroup + thead > tr:first-child > th,
|
||
.table > thead:first-child > tr:first-child > th,
|
||
.table > caption + thead > tr:first-child > td,
|
||
.table > colgroup + thead > tr:first-child > td,
|
||
.table > thead:first-child > tr:first-child > td {
|
||
border-top: 0;
|
||
}
|
||
.table > tbody + tbody {
|
||
border-top: 2px solid #ddd;
|
||
}
|
||
.table .table {
|
||
background-color: #fff;
|
||
}
|
||
.table-condensed > thead > tr > th,
|
||
.table-condensed > tbody > tr > th,
|
||
.table-condensed > tfoot > tr > th,
|
||
.table-condensed > thead > tr > td,
|
||
.table-condensed > tbody > tr > td,
|
||
.table-condensed > tfoot > tr > td {
|
||
padding: 5px;
|
||
}
|
||
.table-bordered {
|
||
border: 1px solid #ddd;
|
||
}
|
||
.table-bordered > thead > tr > th,
|
||
.table-bordered > tbody > tr > th,
|
||
.table-bordered > tfoot > tr > th,
|
||
.table-bordered > thead > tr > td,
|
||
.table-bordered > tbody > tr > td,
|
||
.table-bordered > tfoot > tr > td {
|
||
border: 1px solid #ddd;
|
||
}
|
||
.table-bordered > thead > tr > th,
|
||
.table-bordered > thead > tr > td {
|
||
border-bottom-width: 2px;
|
||
}
|
||
.table-striped > tbody > tr:nth-of-type(odd) {
|
||
background-color: #f9f9f9;
|
||
}
|
||
.table-hover > tbody > tr:hover {
|
||
background-color: #f5f5f5;
|
||
}
|
||
table col[class*="col-"] {
|
||
position: static;
|
||
float: none;
|
||
display: table-column;
|
||
}
|
||
table td[class*="col-"],
|
||
table th[class*="col-"] {
|
||
position: static;
|
||
float: none;
|
||
display: table-cell;
|
||
}
|
||
.table > thead > tr > td.active,
|
||
.table > tbody > tr > td.active,
|
||
.table > tfoot > tr > td.active,
|
||
.table > thead > tr > th.active,
|
||
.table > tbody > tr > th.active,
|
||
.table > tfoot > tr > th.active,
|
||
.table > thead > tr.active > td,
|
||
.table > tbody > tr.active > td,
|
||
.table > tfoot > tr.active > td,
|
||
.table > thead > tr.active > th,
|
||
.table > tbody > tr.active > th,
|
||
.table > tfoot > tr.active > th {
|
||
background-color: #f5f5f5;
|
||
}
|
||
.table-hover > tbody > tr > td.active:hover,
|
||
.table-hover > tbody > tr > th.active:hover,
|
||
.table-hover > tbody > tr.active:hover > td,
|
||
.table-hover > tbody > tr:hover > .active,
|
||
.table-hover > tbody > tr.active:hover > th {
|
||
background-color: #e8e8e8;
|
||
}
|
||
.table > thead > tr > td.success,
|
||
.table > tbody > tr > td.success,
|
||
.table > tfoot > tr > td.success,
|
||
.table > thead > tr > th.success,
|
||
.table > tbody > tr > th.success,
|
||
.table > tfoot > tr > th.success,
|
||
.table > thead > tr.success > td,
|
||
.table > tbody > tr.success > td,
|
||
.table > tfoot > tr.success > td,
|
||
.table > thead > tr.success > th,
|
||
.table > tbody > tr.success > th,
|
||
.table > tfoot > tr.success > th {
|
||
background-color: #dff0d8;
|
||
}
|
||
.table-hover > tbody > tr > td.success:hover,
|
||
.table-hover > tbody > tr > th.success:hover,
|
||
.table-hover > tbody > tr.success:hover > td,
|
||
.table-hover > tbody > tr:hover > .success,
|
||
.table-hover > tbody > tr.success:hover > th {
|
||
background-color: #d0e9c6;
|
||
}
|
||
.table > thead > tr > td.info,
|
||
.table > tbody > tr > td.info,
|
||
.table > tfoot > tr > td.info,
|
||
.table > thead > tr > th.info,
|
||
.table > tbody > tr > th.info,
|
||
.table > tfoot > tr > th.info,
|
||
.table > thead > tr.info > td,
|
||
.table > tbody > tr.info > td,
|
||
.table > tfoot > tr.info > td,
|
||
.table > thead > tr.info > th,
|
||
.table > tbody > tr.info > th,
|
||
.table > tfoot > tr.info > th {
|
||
background-color: #d9edf7;
|
||
}
|
||
.table-hover > tbody > tr > td.info:hover,
|
||
.table-hover > tbody > tr > th.info:hover,
|
||
.table-hover > tbody > tr.info:hover > td,
|
||
.table-hover > tbody > tr:hover > .info,
|
||
.table-hover > tbody > tr.info:hover > th {
|
||
background-color: #c4e3f3;
|
||
}
|
||
.table > thead > tr > td.warning,
|
||
.table > tbody > tr > td.warning,
|
||
.table > tfoot > tr > td.warning,
|
||
.table > thead > tr > th.warning,
|
||
.table > tbody > tr > th.warning,
|
||
.table > tfoot > tr > th.warning,
|
||
.table > thead > tr.warning > td,
|
||
.table > tbody > tr.warning > td,
|
||
.table > tfoot > tr.warning > td,
|
||
.table > thead > tr.warning > th,
|
||
.table > tbody > tr.warning > th,
|
||
.table > tfoot > tr.warning > th {
|
||
background-color: #fcf8e3;
|
||
}
|
||
.table-hover > tbody > tr > td.warning:hover,
|
||
.table-hover > tbody > tr > th.warning:hover,
|
||
.table-hover > tbody > tr.warning:hover > td,
|
||
.table-hover > tbody > tr:hover > .warning,
|
||
.table-hover > tbody > tr.warning:hover > th {
|
||
background-color: #faf2cc;
|
||
}
|
||
.table > thead > tr > td.danger,
|
||
.table > tbody > tr > td.danger,
|
||
.table > tfoot > tr > td.danger,
|
||
.table > thead > tr > th.danger,
|
||
.table > tbody > tr > th.danger,
|
||
.table > tfoot > tr > th.danger,
|
||
.table > thead > tr.danger > td,
|
||
.table > tbody > tr.danger > td,
|
||
.table > tfoot > tr.danger > td,
|
||
.table > thead > tr.danger > th,
|
||
.table > tbody > tr.danger > th,
|
||
.table > tfoot > tr.danger > th {
|
||
background-color: #f2dede;
|
||
}
|
||
.table-hover > tbody > tr > td.danger:hover,
|
||
.table-hover > tbody > tr > th.danger:hover,
|
||
.table-hover > tbody > tr.danger:hover > td,
|
||
.table-hover > tbody > tr:hover > .danger,
|
||
.table-hover > tbody > tr.danger:hover > th {
|
||
background-color: #ebcccc;
|
||
}
|
||
.table-responsive {
|
||
overflow-x: auto;
|
||
min-height: 0.01%;
|
||
}
|
||
@media screen and (max-width: 767px) {
|
||
.table-responsive {
|
||
width: 100%;
|
||
margin-bottom: 13.5px;
|
||
overflow-y: hidden;
|
||
-ms-overflow-style: -ms-autohiding-scrollbar;
|
||
border: 1px solid #ddd;
|
||
}
|
||
.table-responsive > .table {
|
||
margin-bottom: 0;
|
||
}
|
||
.table-responsive > .table > thead > tr > th,
|
||
.table-responsive > .table > tbody > tr > th,
|
||
.table-responsive > .table > tfoot > tr > th,
|
||
.table-responsive > .table > thead > tr > td,
|
||
.table-responsive > .table > tbody > tr > td,
|
||
.table-responsive > .table > tfoot > tr > td {
|
||
white-space: nowrap;
|
||
}
|
||
.table-responsive > .table-bordered {
|
||
border: 0;
|
||
}
|
||
.table-responsive > .table-bordered > thead > tr > th:first-child,
|
||
.table-responsive > .table-bordered > tbody > tr > th:first-child,
|
||
.table-responsive > .table-bordered > tfoot > tr > th:first-child,
|
||
.table-responsive > .table-bordered > thead > tr > td:first-child,
|
||
.table-responsive > .table-bordered > tbody > tr > td:first-child,
|
||
.table-responsive > .table-bordered > tfoot > tr > td:first-child {
|
||
border-left: 0;
|
||
}
|
||
.table-responsive > .table-bordered > thead > tr > th:last-child,
|
||
.table-responsive > .table-bordered > tbody > tr > th:last-child,
|
||
.table-responsive > .table-bordered > tfoot > tr > th:last-child,
|
||
.table-responsive > .table-bordered > thead > tr > td:last-child,
|
||
.table-responsive > .table-bordered > tbody > tr > td:last-child,
|
||
.table-responsive > .table-bordered > tfoot > tr > td:last-child {
|
||
border-right: 0;
|
||
}
|
||
.table-responsive > .table-bordered > tbody > tr:last-child > th,
|
||
.table-responsive > .table-bordered > tfoot > tr:last-child > th,
|
||
.table-responsive > .table-bordered > tbody > tr:last-child > td,
|
||
.table-responsive > .table-bordered > tfoot > tr:last-child > td {
|
||
border-bottom: 0;
|
||
}
|
||
}
|
||
fieldset {
|
||
padding: 0;
|
||
margin: 0;
|
||
border: 0;
|
||
min-width: 0;
|
||
}
|
||
legend {
|
||
display: block;
|
||
width: 100%;
|
||
padding: 0;
|
||
margin-bottom: 18px;
|
||
font-size: 19.5px;
|
||
line-height: inherit;
|
||
color: #333333;
|
||
border: 0;
|
||
border-bottom: 1px solid #e5e5e5;
|
||
}
|
||
label {
|
||
display: inline-block;
|
||
max-width: 100%;
|
||
margin-bottom: 5px;
|
||
font-weight: bold;
|
||
}
|
||
input[type="search"] {
|
||
-webkit-box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
box-sizing: border-box;
|
||
}
|
||
input[type="radio"],
|
||
input[type="checkbox"] {
|
||
margin: 4px 0 0;
|
||
margin-top: 1px \9;
|
||
line-height: normal;
|
||
}
|
||
input[type="file"] {
|
||
display: block;
|
||
}
|
||
input[type="range"] {
|
||
display: block;
|
||
width: 100%;
|
||
}
|
||
select[multiple],
|
||
select[size] {
|
||
height: auto;
|
||
}
|
||
input[type="file"]:focus,
|
||
input[type="radio"]:focus,
|
||
input[type="checkbox"]:focus {
|
||
outline: 5px auto -webkit-focus-ring-color;
|
||
outline-offset: -2px;
|
||
}
|
||
output {
|
||
display: block;
|
||
padding-top: 7px;
|
||
font-size: 13px;
|
||
line-height: 1.42857143;
|
||
color: #555555;
|
||
}
|
||
.form-control {
|
||
display: block;
|
||
width: 100%;
|
||
height: 32px;
|
||
padding: 6px 12px;
|
||
font-size: 13px;
|
||
line-height: 1.42857143;
|
||
color: #555555;
|
||
background-color: #fff;
|
||
background-image: none;
|
||
border: 1px solid #ccc;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
-webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
-o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
}
|
||
.form-control:focus {
|
||
border-color: #66afe9;
|
||
outline: 0;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
|
||
box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
|
||
}
|
||
.form-control::-moz-placeholder {
|
||
color: #999;
|
||
opacity: 1;
|
||
}
|
||
.form-control:-ms-input-placeholder {
|
||
color: #999;
|
||
}
|
||
.form-control::-webkit-input-placeholder {
|
||
color: #999;
|
||
}
|
||
.form-control::-ms-expand {
|
||
border: 0;
|
||
background-color: transparent;
|
||
}
|
||
.form-control[disabled],
|
||
.form-control[readonly],
|
||
fieldset[disabled] .form-control {
|
||
background-color: #eeeeee;
|
||
opacity: 1;
|
||
}
|
||
.form-control[disabled],
|
||
fieldset[disabled] .form-control {
|
||
cursor: not-allowed;
|
||
}
|
||
textarea.form-control {
|
||
height: auto;
|
||
}
|
||
input[type="search"] {
|
||
-webkit-appearance: none;
|
||
}
|
||
@media screen and (-webkit-min-device-pixel-ratio: 0) {
|
||
input[type="date"].form-control,
|
||
input[type="time"].form-control,
|
||
input[type="datetime-local"].form-control,
|
||
input[type="month"].form-control {
|
||
line-height: 32px;
|
||
}
|
||
input[type="date"].input-sm,
|
||
input[type="time"].input-sm,
|
||
input[type="datetime-local"].input-sm,
|
||
input[type="month"].input-sm,
|
||
.input-group-sm input[type="date"],
|
||
.input-group-sm input[type="time"],
|
||
.input-group-sm input[type="datetime-local"],
|
||
.input-group-sm input[type="month"] {
|
||
line-height: 30px;
|
||
}
|
||
input[type="date"].input-lg,
|
||
input[type="time"].input-lg,
|
||
input[type="datetime-local"].input-lg,
|
||
input[type="month"].input-lg,
|
||
.input-group-lg input[type="date"],
|
||
.input-group-lg input[type="time"],
|
||
.input-group-lg input[type="datetime-local"],
|
||
.input-group-lg input[type="month"] {
|
||
line-height: 45px;
|
||
}
|
||
}
|
||
.form-group {
|
||
margin-bottom: 15px;
|
||
}
|
||
.radio,
|
||
.checkbox {
|
||
position: relative;
|
||
display: block;
|
||
margin-top: 10px;
|
||
margin-bottom: 10px;
|
||
}
|
||
.radio label,
|
||
.checkbox label {
|
||
min-height: 18px;
|
||
padding-left: 20px;
|
||
margin-bottom: 0;
|
||
font-weight: normal;
|
||
cursor: pointer;
|
||
}
|
||
.radio input[type="radio"],
|
||
.radio-inline input[type="radio"],
|
||
.checkbox input[type="checkbox"],
|
||
.checkbox-inline input[type="checkbox"] {
|
||
position: absolute;
|
||
margin-left: -20px;
|
||
margin-top: 4px \9;
|
||
}
|
||
.radio + .radio,
|
||
.checkbox + .checkbox {
|
||
margin-top: -5px;
|
||
}
|
||
.radio-inline,
|
||
.checkbox-inline {
|
||
position: relative;
|
||
display: inline-block;
|
||
padding-left: 20px;
|
||
margin-bottom: 0;
|
||
vertical-align: middle;
|
||
font-weight: normal;
|
||
cursor: pointer;
|
||
}
|
||
.radio-inline + .radio-inline,
|
||
.checkbox-inline + .checkbox-inline {
|
||
margin-top: 0;
|
||
margin-left: 10px;
|
||
}
|
||
input[type="radio"][disabled],
|
||
input[type="checkbox"][disabled],
|
||
input[type="radio"].disabled,
|
||
input[type="checkbox"].disabled,
|
||
fieldset[disabled] input[type="radio"],
|
||
fieldset[disabled] input[type="checkbox"] {
|
||
cursor: not-allowed;
|
||
}
|
||
.radio-inline.disabled,
|
||
.checkbox-inline.disabled,
|
||
fieldset[disabled] .radio-inline,
|
||
fieldset[disabled] .checkbox-inline {
|
||
cursor: not-allowed;
|
||
}
|
||
.radio.disabled label,
|
||
.checkbox.disabled label,
|
||
fieldset[disabled] .radio label,
|
||
fieldset[disabled] .checkbox label {
|
||
cursor: not-allowed;
|
||
}
|
||
.form-control-static {
|
||
padding-top: 7px;
|
||
padding-bottom: 7px;
|
||
margin-bottom: 0;
|
||
min-height: 31px;
|
||
}
|
||
.form-control-static.input-lg,
|
||
.form-control-static.input-sm {
|
||
padding-left: 0;
|
||
padding-right: 0;
|
||
}
|
||
.input-sm {
|
||
height: 30px;
|
||
padding: 5px 10px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
border-radius: 1px;
|
||
}
|
||
select.input-sm {
|
||
height: 30px;
|
||
line-height: 30px;
|
||
}
|
||
textarea.input-sm,
|
||
select[multiple].input-sm {
|
||
height: auto;
|
||
}
|
||
.form-group-sm .form-control {
|
||
height: 30px;
|
||
padding: 5px 10px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
border-radius: 1px;
|
||
}
|
||
.form-group-sm select.form-control {
|
||
height: 30px;
|
||
line-height: 30px;
|
||
}
|
||
.form-group-sm textarea.form-control,
|
||
.form-group-sm select[multiple].form-control {
|
||
height: auto;
|
||
}
|
||
.form-group-sm .form-control-static {
|
||
height: 30px;
|
||
min-height: 30px;
|
||
padding: 6px 10px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
}
|
||
.input-lg {
|
||
height: 45px;
|
||
padding: 10px 16px;
|
||
font-size: 17px;
|
||
line-height: 1.3333333;
|
||
border-radius: 3px;
|
||
}
|
||
select.input-lg {
|
||
height: 45px;
|
||
line-height: 45px;
|
||
}
|
||
textarea.input-lg,
|
||
select[multiple].input-lg {
|
||
height: auto;
|
||
}
|
||
.form-group-lg .form-control {
|
||
height: 45px;
|
||
padding: 10px 16px;
|
||
font-size: 17px;
|
||
line-height: 1.3333333;
|
||
border-radius: 3px;
|
||
}
|
||
.form-group-lg select.form-control {
|
||
height: 45px;
|
||
line-height: 45px;
|
||
}
|
||
.form-group-lg textarea.form-control,
|
||
.form-group-lg select[multiple].form-control {
|
||
height: auto;
|
||
}
|
||
.form-group-lg .form-control-static {
|
||
height: 45px;
|
||
min-height: 35px;
|
||
padding: 11px 16px;
|
||
font-size: 17px;
|
||
line-height: 1.3333333;
|
||
}
|
||
.has-feedback {
|
||
position: relative;
|
||
}
|
||
.has-feedback .form-control {
|
||
padding-right: 40px;
|
||
}
|
||
.form-control-feedback {
|
||
position: absolute;
|
||
top: 0;
|
||
right: 0;
|
||
z-index: 2;
|
||
display: block;
|
||
width: 32px;
|
||
height: 32px;
|
||
line-height: 32px;
|
||
text-align: center;
|
||
pointer-events: none;
|
||
}
|
||
.input-lg + .form-control-feedback,
|
||
.input-group-lg + .form-control-feedback,
|
||
.form-group-lg .form-control + .form-control-feedback {
|
||
width: 45px;
|
||
height: 45px;
|
||
line-height: 45px;
|
||
}
|
||
.input-sm + .form-control-feedback,
|
||
.input-group-sm + .form-control-feedback,
|
||
.form-group-sm .form-control + .form-control-feedback {
|
||
width: 30px;
|
||
height: 30px;
|
||
line-height: 30px;
|
||
}
|
||
.has-success .help-block,
|
||
.has-success .control-label,
|
||
.has-success .radio,
|
||
.has-success .checkbox,
|
||
.has-success .radio-inline,
|
||
.has-success .checkbox-inline,
|
||
.has-success.radio label,
|
||
.has-success.checkbox label,
|
||
.has-success.radio-inline label,
|
||
.has-success.checkbox-inline label {
|
||
color: #3c763d;
|
||
}
|
||
.has-success .form-control {
|
||
border-color: #3c763d;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
}
|
||
.has-success .form-control:focus {
|
||
border-color: #2b542c;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
|
||
}
|
||
.has-success .input-group-addon {
|
||
color: #3c763d;
|
||
border-color: #3c763d;
|
||
background-color: #dff0d8;
|
||
}
|
||
.has-success .form-control-feedback {
|
||
color: #3c763d;
|
||
}
|
||
.has-warning .help-block,
|
||
.has-warning .control-label,
|
||
.has-warning .radio,
|
||
.has-warning .checkbox,
|
||
.has-warning .radio-inline,
|
||
.has-warning .checkbox-inline,
|
||
.has-warning.radio label,
|
||
.has-warning.checkbox label,
|
||
.has-warning.radio-inline label,
|
||
.has-warning.checkbox-inline label {
|
||
color: #8a6d3b;
|
||
}
|
||
.has-warning .form-control {
|
||
border-color: #8a6d3b;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
}
|
||
.has-warning .form-control:focus {
|
||
border-color: #66512c;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
|
||
}
|
||
.has-warning .input-group-addon {
|
||
color: #8a6d3b;
|
||
border-color: #8a6d3b;
|
||
background-color: #fcf8e3;
|
||
}
|
||
.has-warning .form-control-feedback {
|
||
color: #8a6d3b;
|
||
}
|
||
.has-error .help-block,
|
||
.has-error .control-label,
|
||
.has-error .radio,
|
||
.has-error .checkbox,
|
||
.has-error .radio-inline,
|
||
.has-error .checkbox-inline,
|
||
.has-error.radio label,
|
||
.has-error.checkbox label,
|
||
.has-error.radio-inline label,
|
||
.has-error.checkbox-inline label {
|
||
color: #a94442;
|
||
}
|
||
.has-error .form-control {
|
||
border-color: #a94442;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
}
|
||
.has-error .form-control:focus {
|
||
border-color: #843534;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
|
||
}
|
||
.has-error .input-group-addon {
|
||
color: #a94442;
|
||
border-color: #a94442;
|
||
background-color: #f2dede;
|
||
}
|
||
.has-error .form-control-feedback {
|
||
color: #a94442;
|
||
}
|
||
.has-feedback label ~ .form-control-feedback {
|
||
top: 23px;
|
||
}
|
||
.has-feedback label.sr-only ~ .form-control-feedback {
|
||
top: 0;
|
||
}
|
||
.help-block {
|
||
display: block;
|
||
margin-top: 5px;
|
||
margin-bottom: 10px;
|
||
color: #404040;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.form-inline .form-group {
|
||
display: inline-block;
|
||
margin-bottom: 0;
|
||
vertical-align: middle;
|
||
}
|
||
.form-inline .form-control {
|
||
display: inline-block;
|
||
width: auto;
|
||
vertical-align: middle;
|
||
}
|
||
.form-inline .form-control-static {
|
||
display: inline-block;
|
||
}
|
||
.form-inline .input-group {
|
||
display: inline-table;
|
||
vertical-align: middle;
|
||
}
|
||
.form-inline .input-group .input-group-addon,
|
||
.form-inline .input-group .input-group-btn,
|
||
.form-inline .input-group .form-control {
|
||
width: auto;
|
||
}
|
||
.form-inline .input-group > .form-control {
|
||
width: 100%;
|
||
}
|
||
.form-inline .control-label {
|
||
margin-bottom: 0;
|
||
vertical-align: middle;
|
||
}
|
||
.form-inline .radio,
|
||
.form-inline .checkbox {
|
||
display: inline-block;
|
||
margin-top: 0;
|
||
margin-bottom: 0;
|
||
vertical-align: middle;
|
||
}
|
||
.form-inline .radio label,
|
||
.form-inline .checkbox label {
|
||
padding-left: 0;
|
||
}
|
||
.form-inline .radio input[type="radio"],
|
||
.form-inline .checkbox input[type="checkbox"] {
|
||
position: relative;
|
||
margin-left: 0;
|
||
}
|
||
.form-inline .has-feedback .form-control-feedback {
|
||
top: 0;
|
||
}
|
||
}
|
||
.form-horizontal .radio,
|
||
.form-horizontal .checkbox,
|
||
.form-horizontal .radio-inline,
|
||
.form-horizontal .checkbox-inline {
|
||
margin-top: 0;
|
||
margin-bottom: 0;
|
||
padding-top: 7px;
|
||
}
|
||
.form-horizontal .radio,
|
||
.form-horizontal .checkbox {
|
||
min-height: 25px;
|
||
}
|
||
.form-horizontal .form-group {
|
||
margin-left: 0px;
|
||
margin-right: 0px;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.form-horizontal .control-label {
|
||
text-align: right;
|
||
margin-bottom: 0;
|
||
padding-top: 7px;
|
||
}
|
||
}
|
||
.form-horizontal .has-feedback .form-control-feedback {
|
||
right: 0px;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.form-horizontal .form-group-lg .control-label {
|
||
padding-top: 11px;
|
||
font-size: 17px;
|
||
}
|
||
}
|
||
@media (min-width: 768px) {
|
||
.form-horizontal .form-group-sm .control-label {
|
||
padding-top: 6px;
|
||
font-size: 12px;
|
||
}
|
||
}
|
||
.btn {
|
||
display: inline-block;
|
||
margin-bottom: 0;
|
||
font-weight: normal;
|
||
text-align: center;
|
||
vertical-align: middle;
|
||
touch-action: manipulation;
|
||
cursor: pointer;
|
||
background-image: none;
|
||
border: 1px solid transparent;
|
||
white-space: nowrap;
|
||
padding: 6px 12px;
|
||
font-size: 13px;
|
||
line-height: 1.42857143;
|
||
border-radius: 2px;
|
||
-webkit-user-select: none;
|
||
-moz-user-select: none;
|
||
-ms-user-select: none;
|
||
user-select: none;
|
||
}
|
||
.btn:focus,
|
||
.btn:active:focus,
|
||
.btn.active:focus,
|
||
.btn.focus,
|
||
.btn:active.focus,
|
||
.btn.active.focus {
|
||
outline: 5px auto -webkit-focus-ring-color;
|
||
outline-offset: -2px;
|
||
}
|
||
.btn:hover,
|
||
.btn:focus,
|
||
.btn.focus {
|
||
color: #333;
|
||
text-decoration: none;
|
||
}
|
||
.btn:active,
|
||
.btn.active {
|
||
outline: 0;
|
||
background-image: none;
|
||
-webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
|
||
box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
|
||
}
|
||
.btn.disabled,
|
||
.btn[disabled],
|
||
fieldset[disabled] .btn {
|
||
cursor: not-allowed;
|
||
opacity: 0.65;
|
||
filter: alpha(opacity=65);
|
||
-webkit-box-shadow: none;
|
||
box-shadow: none;
|
||
}
|
||
a.btn.disabled,
|
||
fieldset[disabled] a.btn {
|
||
pointer-events: none;
|
||
}
|
||
.btn-default {
|
||
color: #333;
|
||
background-color: #fff;
|
||
border-color: #ccc;
|
||
}
|
||
.btn-default:focus,
|
||
.btn-default.focus {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #8c8c8c;
|
||
}
|
||
.btn-default:hover {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #adadad;
|
||
}
|
||
.btn-default:active,
|
||
.btn-default.active,
|
||
.open > .dropdown-toggle.btn-default {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #adadad;
|
||
}
|
||
.btn-default:active:hover,
|
||
.btn-default.active:hover,
|
||
.open > .dropdown-toggle.btn-default:hover,
|
||
.btn-default:active:focus,
|
||
.btn-default.active:focus,
|
||
.open > .dropdown-toggle.btn-default:focus,
|
||
.btn-default:active.focus,
|
||
.btn-default.active.focus,
|
||
.open > .dropdown-toggle.btn-default.focus {
|
||
color: #333;
|
||
background-color: #d4d4d4;
|
||
border-color: #8c8c8c;
|
||
}
|
||
.btn-default:active,
|
||
.btn-default.active,
|
||
.open > .dropdown-toggle.btn-default {
|
||
background-image: none;
|
||
}
|
||
.btn-default.disabled:hover,
|
||
.btn-default[disabled]:hover,
|
||
fieldset[disabled] .btn-default:hover,
|
||
.btn-default.disabled:focus,
|
||
.btn-default[disabled]:focus,
|
||
fieldset[disabled] .btn-default:focus,
|
||
.btn-default.disabled.focus,
|
||
.btn-default[disabled].focus,
|
||
fieldset[disabled] .btn-default.focus {
|
||
background-color: #fff;
|
||
border-color: #ccc;
|
||
}
|
||
.btn-default .badge {
|
||
color: #fff;
|
||
background-color: #333;
|
||
}
|
||
.btn-primary {
|
||
color: #fff;
|
||
background-color: #337ab7;
|
||
border-color: #2e6da4;
|
||
}
|
||
.btn-primary:focus,
|
||
.btn-primary.focus {
|
||
color: #fff;
|
||
background-color: #286090;
|
||
border-color: #122b40;
|
||
}
|
||
.btn-primary:hover {
|
||
color: #fff;
|
||
background-color: #286090;
|
||
border-color: #204d74;
|
||
}
|
||
.btn-primary:active,
|
||
.btn-primary.active,
|
||
.open > .dropdown-toggle.btn-primary {
|
||
color: #fff;
|
||
background-color: #286090;
|
||
border-color: #204d74;
|
||
}
|
||
.btn-primary:active:hover,
|
||
.btn-primary.active:hover,
|
||
.open > .dropdown-toggle.btn-primary:hover,
|
||
.btn-primary:active:focus,
|
||
.btn-primary.active:focus,
|
||
.open > .dropdown-toggle.btn-primary:focus,
|
||
.btn-primary:active.focus,
|
||
.btn-primary.active.focus,
|
||
.open > .dropdown-toggle.btn-primary.focus {
|
||
color: #fff;
|
||
background-color: #204d74;
|
||
border-color: #122b40;
|
||
}
|
||
.btn-primary:active,
|
||
.btn-primary.active,
|
||
.open > .dropdown-toggle.btn-primary {
|
||
background-image: none;
|
||
}
|
||
.btn-primary.disabled:hover,
|
||
.btn-primary[disabled]:hover,
|
||
fieldset[disabled] .btn-primary:hover,
|
||
.btn-primary.disabled:focus,
|
||
.btn-primary[disabled]:focus,
|
||
fieldset[disabled] .btn-primary:focus,
|
||
.btn-primary.disabled.focus,
|
||
.btn-primary[disabled].focus,
|
||
fieldset[disabled] .btn-primary.focus {
|
||
background-color: #337ab7;
|
||
border-color: #2e6da4;
|
||
}
|
||
.btn-primary .badge {
|
||
color: #337ab7;
|
||
background-color: #fff;
|
||
}
|
||
.btn-success {
|
||
color: #fff;
|
||
background-color: #5cb85c;
|
||
border-color: #4cae4c;
|
||
}
|
||
.btn-success:focus,
|
||
.btn-success.focus {
|
||
color: #fff;
|
||
background-color: #449d44;
|
||
border-color: #255625;
|
||
}
|
||
.btn-success:hover {
|
||
color: #fff;
|
||
background-color: #449d44;
|
||
border-color: #398439;
|
||
}
|
||
.btn-success:active,
|
||
.btn-success.active,
|
||
.open > .dropdown-toggle.btn-success {
|
||
color: #fff;
|
||
background-color: #449d44;
|
||
border-color: #398439;
|
||
}
|
||
.btn-success:active:hover,
|
||
.btn-success.active:hover,
|
||
.open > .dropdown-toggle.btn-success:hover,
|
||
.btn-success:active:focus,
|
||
.btn-success.active:focus,
|
||
.open > .dropdown-toggle.btn-success:focus,
|
||
.btn-success:active.focus,
|
||
.btn-success.active.focus,
|
||
.open > .dropdown-toggle.btn-success.focus {
|
||
color: #fff;
|
||
background-color: #398439;
|
||
border-color: #255625;
|
||
}
|
||
.btn-success:active,
|
||
.btn-success.active,
|
||
.open > .dropdown-toggle.btn-success {
|
||
background-image: none;
|
||
}
|
||
.btn-success.disabled:hover,
|
||
.btn-success[disabled]:hover,
|
||
fieldset[disabled] .btn-success:hover,
|
||
.btn-success.disabled:focus,
|
||
.btn-success[disabled]:focus,
|
||
fieldset[disabled] .btn-success:focus,
|
||
.btn-success.disabled.focus,
|
||
.btn-success[disabled].focus,
|
||
fieldset[disabled] .btn-success.focus {
|
||
background-color: #5cb85c;
|
||
border-color: #4cae4c;
|
||
}
|
||
.btn-success .badge {
|
||
color: #5cb85c;
|
||
background-color: #fff;
|
||
}
|
||
.btn-info {
|
||
color: #fff;
|
||
background-color: #5bc0de;
|
||
border-color: #46b8da;
|
||
}
|
||
.btn-info:focus,
|
||
.btn-info.focus {
|
||
color: #fff;
|
||
background-color: #31b0d5;
|
||
border-color: #1b6d85;
|
||
}
|
||
.btn-info:hover {
|
||
color: #fff;
|
||
background-color: #31b0d5;
|
||
border-color: #269abc;
|
||
}
|
||
.btn-info:active,
|
||
.btn-info.active,
|
||
.open > .dropdown-toggle.btn-info {
|
||
color: #fff;
|
||
background-color: #31b0d5;
|
||
border-color: #269abc;
|
||
}
|
||
.btn-info:active:hover,
|
||
.btn-info.active:hover,
|
||
.open > .dropdown-toggle.btn-info:hover,
|
||
.btn-info:active:focus,
|
||
.btn-info.active:focus,
|
||
.open > .dropdown-toggle.btn-info:focus,
|
||
.btn-info:active.focus,
|
||
.btn-info.active.focus,
|
||
.open > .dropdown-toggle.btn-info.focus {
|
||
color: #fff;
|
||
background-color: #269abc;
|
||
border-color: #1b6d85;
|
||
}
|
||
.btn-info:active,
|
||
.btn-info.active,
|
||
.open > .dropdown-toggle.btn-info {
|
||
background-image: none;
|
||
}
|
||
.btn-info.disabled:hover,
|
||
.btn-info[disabled]:hover,
|
||
fieldset[disabled] .btn-info:hover,
|
||
.btn-info.disabled:focus,
|
||
.btn-info[disabled]:focus,
|
||
fieldset[disabled] .btn-info:focus,
|
||
.btn-info.disabled.focus,
|
||
.btn-info[disabled].focus,
|
||
fieldset[disabled] .btn-info.focus {
|
||
background-color: #5bc0de;
|
||
border-color: #46b8da;
|
||
}
|
||
.btn-info .badge {
|
||
color: #5bc0de;
|
||
background-color: #fff;
|
||
}
|
||
.btn-warning {
|
||
color: #fff;
|
||
background-color: #f0ad4e;
|
||
border-color: #eea236;
|
||
}
|
||
.btn-warning:focus,
|
||
.btn-warning.focus {
|
||
color: #fff;
|
||
background-color: #ec971f;
|
||
border-color: #985f0d;
|
||
}
|
||
.btn-warning:hover {
|
||
color: #fff;
|
||
background-color: #ec971f;
|
||
border-color: #d58512;
|
||
}
|
||
.btn-warning:active,
|
||
.btn-warning.active,
|
||
.open > .dropdown-toggle.btn-warning {
|
||
color: #fff;
|
||
background-color: #ec971f;
|
||
border-color: #d58512;
|
||
}
|
||
.btn-warning:active:hover,
|
||
.btn-warning.active:hover,
|
||
.open > .dropdown-toggle.btn-warning:hover,
|
||
.btn-warning:active:focus,
|
||
.btn-warning.active:focus,
|
||
.open > .dropdown-toggle.btn-warning:focus,
|
||
.btn-warning:active.focus,
|
||
.btn-warning.active.focus,
|
||
.open > .dropdown-toggle.btn-warning.focus {
|
||
color: #fff;
|
||
background-color: #d58512;
|
||
border-color: #985f0d;
|
||
}
|
||
.btn-warning:active,
|
||
.btn-warning.active,
|
||
.open > .dropdown-toggle.btn-warning {
|
||
background-image: none;
|
||
}
|
||
.btn-warning.disabled:hover,
|
||
.btn-warning[disabled]:hover,
|
||
fieldset[disabled] .btn-warning:hover,
|
||
.btn-warning.disabled:focus,
|
||
.btn-warning[disabled]:focus,
|
||
fieldset[disabled] .btn-warning:focus,
|
||
.btn-warning.disabled.focus,
|
||
.btn-warning[disabled].focus,
|
||
fieldset[disabled] .btn-warning.focus {
|
||
background-color: #f0ad4e;
|
||
border-color: #eea236;
|
||
}
|
||
.btn-warning .badge {
|
||
color: #f0ad4e;
|
||
background-color: #fff;
|
||
}
|
||
.btn-danger {
|
||
color: #fff;
|
||
background-color: #d9534f;
|
||
border-color: #d43f3a;
|
||
}
|
||
.btn-danger:focus,
|
||
.btn-danger.focus {
|
||
color: #fff;
|
||
background-color: #c9302c;
|
||
border-color: #761c19;
|
||
}
|
||
.btn-danger:hover {
|
||
color: #fff;
|
||
background-color: #c9302c;
|
||
border-color: #ac2925;
|
||
}
|
||
.btn-danger:active,
|
||
.btn-danger.active,
|
||
.open > .dropdown-toggle.btn-danger {
|
||
color: #fff;
|
||
background-color: #c9302c;
|
||
border-color: #ac2925;
|
||
}
|
||
.btn-danger:active:hover,
|
||
.btn-danger.active:hover,
|
||
.open > .dropdown-toggle.btn-danger:hover,
|
||
.btn-danger:active:focus,
|
||
.btn-danger.active:focus,
|
||
.open > .dropdown-toggle.btn-danger:focus,
|
||
.btn-danger:active.focus,
|
||
.btn-danger.active.focus,
|
||
.open > .dropdown-toggle.btn-danger.focus {
|
||
color: #fff;
|
||
background-color: #ac2925;
|
||
border-color: #761c19;
|
||
}
|
||
.btn-danger:active,
|
||
.btn-danger.active,
|
||
.open > .dropdown-toggle.btn-danger {
|
||
background-image: none;
|
||
}
|
||
.btn-danger.disabled:hover,
|
||
.btn-danger[disabled]:hover,
|
||
fieldset[disabled] .btn-danger:hover,
|
||
.btn-danger.disabled:focus,
|
||
.btn-danger[disabled]:focus,
|
||
fieldset[disabled] .btn-danger:focus,
|
||
.btn-danger.disabled.focus,
|
||
.btn-danger[disabled].focus,
|
||
fieldset[disabled] .btn-danger.focus {
|
||
background-color: #d9534f;
|
||
border-color: #d43f3a;
|
||
}
|
||
.btn-danger .badge {
|
||
color: #d9534f;
|
||
background-color: #fff;
|
||
}
|
||
.btn-link {
|
||
color: #337ab7;
|
||
font-weight: normal;
|
||
border-radius: 0;
|
||
}
|
||
.btn-link,
|
||
.btn-link:active,
|
||
.btn-link.active,
|
||
.btn-link[disabled],
|
||
fieldset[disabled] .btn-link {
|
||
background-color: transparent;
|
||
-webkit-box-shadow: none;
|
||
box-shadow: none;
|
||
}
|
||
.btn-link,
|
||
.btn-link:hover,
|
||
.btn-link:focus,
|
||
.btn-link:active {
|
||
border-color: transparent;
|
||
}
|
||
.btn-link:hover,
|
||
.btn-link:focus {
|
||
color: #23527c;
|
||
text-decoration: underline;
|
||
background-color: transparent;
|
||
}
|
||
.btn-link[disabled]:hover,
|
||
fieldset[disabled] .btn-link:hover,
|
||
.btn-link[disabled]:focus,
|
||
fieldset[disabled] .btn-link:focus {
|
||
color: #777777;
|
||
text-decoration: none;
|
||
}
|
||
.btn-lg,
|
||
.btn-group-lg > .btn {
|
||
padding: 10px 16px;
|
||
font-size: 17px;
|
||
line-height: 1.3333333;
|
||
border-radius: 3px;
|
||
}
|
||
.btn-sm,
|
||
.btn-group-sm > .btn {
|
||
padding: 5px 10px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
border-radius: 1px;
|
||
}
|
||
.btn-xs,
|
||
.btn-group-xs > .btn {
|
||
padding: 1px 5px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
border-radius: 1px;
|
||
}
|
||
.btn-block {
|
||
display: block;
|
||
width: 100%;
|
||
}
|
||
.btn-block + .btn-block {
|
||
margin-top: 5px;
|
||
}
|
||
input[type="submit"].btn-block,
|
||
input[type="reset"].btn-block,
|
||
input[type="button"].btn-block {
|
||
width: 100%;
|
||
}
|
||
.fade {
|
||
opacity: 0;
|
||
-webkit-transition: opacity 0.15s linear;
|
||
-o-transition: opacity 0.15s linear;
|
||
transition: opacity 0.15s linear;
|
||
}
|
||
.fade.in {
|
||
opacity: 1;
|
||
}
|
||
.collapse {
|
||
display: none;
|
||
}
|
||
.collapse.in {
|
||
display: block;
|
||
}
|
||
tr.collapse.in {
|
||
display: table-row;
|
||
}
|
||
tbody.collapse.in {
|
||
display: table-row-group;
|
||
}
|
||
.collapsing {
|
||
position: relative;
|
||
height: 0;
|
||
overflow: hidden;
|
||
-webkit-transition-property: height, visibility;
|
||
transition-property: height, visibility;
|
||
-webkit-transition-duration: 0.35s;
|
||
transition-duration: 0.35s;
|
||
-webkit-transition-timing-function: ease;
|
||
transition-timing-function: ease;
|
||
}
|
||
.caret {
|
||
display: inline-block;
|
||
width: 0;
|
||
height: 0;
|
||
margin-left: 2px;
|
||
vertical-align: middle;
|
||
border-top: 4px dashed;
|
||
border-top: 4px solid \9;
|
||
border-right: 4px solid transparent;
|
||
border-left: 4px solid transparent;
|
||
}
|
||
.dropup,
|
||
.dropdown {
|
||
position: relative;
|
||
}
|
||
.dropdown-toggle:focus {
|
||
outline: 0;
|
||
}
|
||
.dropdown-menu {
|
||
position: absolute;
|
||
top: 100%;
|
||
left: 0;
|
||
z-index: 1000;
|
||
display: none;
|
||
float: left;
|
||
min-width: 160px;
|
||
padding: 5px 0;
|
||
margin: 2px 0 0;
|
||
list-style: none;
|
||
font-size: 13px;
|
||
text-align: left;
|
||
background-color: #fff;
|
||
border: 1px solid #ccc;
|
||
border: 1px solid rgba(0, 0, 0, 0.15);
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
|
||
box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
|
||
background-clip: padding-box;
|
||
}
|
||
.dropdown-menu.pull-right {
|
||
right: 0;
|
||
left: auto;
|
||
}
|
||
.dropdown-menu .divider {
|
||
height: 1px;
|
||
margin: 8px 0;
|
||
overflow: hidden;
|
||
background-color: #e5e5e5;
|
||
}
|
||
.dropdown-menu > li > a {
|
||
display: block;
|
||
padding: 3px 20px;
|
||
clear: both;
|
||
font-weight: normal;
|
||
line-height: 1.42857143;
|
||
color: #333333;
|
||
white-space: nowrap;
|
||
}
|
||
.dropdown-menu > li > a:hover,
|
||
.dropdown-menu > li > a:focus {
|
||
text-decoration: none;
|
||
color: #262626;
|
||
background-color: #f5f5f5;
|
||
}
|
||
.dropdown-menu > .active > a,
|
||
.dropdown-menu > .active > a:hover,
|
||
.dropdown-menu > .active > a:focus {
|
||
color: #fff;
|
||
text-decoration: none;
|
||
outline: 0;
|
||
background-color: #337ab7;
|
||
}
|
||
.dropdown-menu > .disabled > a,
|
||
.dropdown-menu > .disabled > a:hover,
|
||
.dropdown-menu > .disabled > a:focus {
|
||
color: #777777;
|
||
}
|
||
.dropdown-menu > .disabled > a:hover,
|
||
.dropdown-menu > .disabled > a:focus {
|
||
text-decoration: none;
|
||
background-color: transparent;
|
||
background-image: none;
|
||
filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
|
||
cursor: not-allowed;
|
||
}
|
||
.open > .dropdown-menu {
|
||
display: block;
|
||
}
|
||
.open > a {
|
||
outline: 0;
|
||
}
|
||
.dropdown-menu-right {
|
||
left: auto;
|
||
right: 0;
|
||
}
|
||
.dropdown-menu-left {
|
||
left: 0;
|
||
right: auto;
|
||
}
|
||
.dropdown-header {
|
||
display: block;
|
||
padding: 3px 20px;
|
||
font-size: 12px;
|
||
line-height: 1.42857143;
|
||
color: #777777;
|
||
white-space: nowrap;
|
||
}
|
||
.dropdown-backdrop {
|
||
position: fixed;
|
||
left: 0;
|
||
right: 0;
|
||
bottom: 0;
|
||
top: 0;
|
||
z-index: 990;
|
||
}
|
||
.pull-right > .dropdown-menu {
|
||
right: 0;
|
||
left: auto;
|
||
}
|
||
.dropup .caret,
|
||
.navbar-fixed-bottom .dropdown .caret {
|
||
border-top: 0;
|
||
border-bottom: 4px dashed;
|
||
border-bottom: 4px solid \9;
|
||
content: "";
|
||
}
|
||
.dropup .dropdown-menu,
|
||
.navbar-fixed-bottom .dropdown .dropdown-menu {
|
||
top: auto;
|
||
bottom: 100%;
|
||
margin-bottom: 2px;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-right .dropdown-menu {
|
||
left: auto;
|
||
right: 0;
|
||
}
|
||
.navbar-right .dropdown-menu-left {
|
||
left: 0;
|
||
right: auto;
|
||
}
|
||
}
|
||
.btn-group,
|
||
.btn-group-vertical {
|
||
position: relative;
|
||
display: inline-block;
|
||
vertical-align: middle;
|
||
}
|
||
.btn-group > .btn,
|
||
.btn-group-vertical > .btn {
|
||
position: relative;
|
||
float: left;
|
||
}
|
||
.btn-group > .btn:hover,
|
||
.btn-group-vertical > .btn:hover,
|
||
.btn-group > .btn:focus,
|
||
.btn-group-vertical > .btn:focus,
|
||
.btn-group > .btn:active,
|
||
.btn-group-vertical > .btn:active,
|
||
.btn-group > .btn.active,
|
||
.btn-group-vertical > .btn.active {
|
||
z-index: 2;
|
||
}
|
||
.btn-group .btn + .btn,
|
||
.btn-group .btn + .btn-group,
|
||
.btn-group .btn-group + .btn,
|
||
.btn-group .btn-group + .btn-group {
|
||
margin-left: -1px;
|
||
}
|
||
.btn-toolbar {
|
||
margin-left: -5px;
|
||
}
|
||
.btn-toolbar .btn,
|
||
.btn-toolbar .btn-group,
|
||
.btn-toolbar .input-group {
|
||
float: left;
|
||
}
|
||
.btn-toolbar > .btn,
|
||
.btn-toolbar > .btn-group,
|
||
.btn-toolbar > .input-group {
|
||
margin-left: 5px;
|
||
}
|
||
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
|
||
border-radius: 0;
|
||
}
|
||
.btn-group > .btn:first-child {
|
||
margin-left: 0;
|
||
}
|
||
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
|
||
border-bottom-right-radius: 0;
|
||
border-top-right-radius: 0;
|
||
}
|
||
.btn-group > .btn:last-child:not(:first-child),
|
||
.btn-group > .dropdown-toggle:not(:first-child) {
|
||
border-bottom-left-radius: 0;
|
||
border-top-left-radius: 0;
|
||
}
|
||
.btn-group > .btn-group {
|
||
float: left;
|
||
}
|
||
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
|
||
border-radius: 0;
|
||
}
|
||
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
|
||
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
|
||
border-bottom-right-radius: 0;
|
||
border-top-right-radius: 0;
|
||
}
|
||
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
|
||
border-bottom-left-radius: 0;
|
||
border-top-left-radius: 0;
|
||
}
|
||
.btn-group .dropdown-toggle:active,
|
||
.btn-group.open .dropdown-toggle {
|
||
outline: 0;
|
||
}
|
||
.btn-group > .btn + .dropdown-toggle {
|
||
padding-left: 8px;
|
||
padding-right: 8px;
|
||
}
|
||
.btn-group > .btn-lg + .dropdown-toggle {
|
||
padding-left: 12px;
|
||
padding-right: 12px;
|
||
}
|
||
.btn-group.open .dropdown-toggle {
|
||
-webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
|
||
box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
|
||
}
|
||
.btn-group.open .dropdown-toggle.btn-link {
|
||
-webkit-box-shadow: none;
|
||
box-shadow: none;
|
||
}
|
||
.btn .caret {
|
||
margin-left: 0;
|
||
}
|
||
.btn-lg .caret {
|
||
border-width: 5px 5px 0;
|
||
border-bottom-width: 0;
|
||
}
|
||
.dropup .btn-lg .caret {
|
||
border-width: 0 5px 5px;
|
||
}
|
||
.btn-group-vertical > .btn,
|
||
.btn-group-vertical > .btn-group,
|
||
.btn-group-vertical > .btn-group > .btn {
|
||
display: block;
|
||
float: none;
|
||
width: 100%;
|
||
max-width: 100%;
|
||
}
|
||
.btn-group-vertical > .btn-group > .btn {
|
||
float: none;
|
||
}
|
||
.btn-group-vertical > .btn + .btn,
|
||
.btn-group-vertical > .btn + .btn-group,
|
||
.btn-group-vertical > .btn-group + .btn,
|
||
.btn-group-vertical > .btn-group + .btn-group {
|
||
margin-top: -1px;
|
||
margin-left: 0;
|
||
}
|
||
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
|
||
border-radius: 0;
|
||
}
|
||
.btn-group-vertical > .btn:first-child:not(:last-child) {
|
||
border-top-right-radius: 2px;
|
||
border-top-left-radius: 2px;
|
||
border-bottom-right-radius: 0;
|
||
border-bottom-left-radius: 0;
|
||
}
|
||
.btn-group-vertical > .btn:last-child:not(:first-child) {
|
||
border-top-right-radius: 0;
|
||
border-top-left-radius: 0;
|
||
border-bottom-right-radius: 2px;
|
||
border-bottom-left-radius: 2px;
|
||
}
|
||
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
|
||
border-radius: 0;
|
||
}
|
||
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
|
||
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
|
||
border-bottom-right-radius: 0;
|
||
border-bottom-left-radius: 0;
|
||
}
|
||
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
|
||
border-top-right-radius: 0;
|
||
border-top-left-radius: 0;
|
||
}
|
||
.btn-group-justified {
|
||
display: table;
|
||
width: 100%;
|
||
table-layout: fixed;
|
||
border-collapse: separate;
|
||
}
|
||
.btn-group-justified > .btn,
|
||
.btn-group-justified > .btn-group {
|
||
float: none;
|
||
display: table-cell;
|
||
width: 1%;
|
||
}
|
||
.btn-group-justified > .btn-group .btn {
|
||
width: 100%;
|
||
}
|
||
.btn-group-justified > .btn-group .dropdown-menu {
|
||
left: auto;
|
||
}
|
||
[data-toggle="buttons"] > .btn input[type="radio"],
|
||
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
|
||
[data-toggle="buttons"] > .btn input[type="checkbox"],
|
||
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
|
||
position: absolute;
|
||
clip: rect(0, 0, 0, 0);
|
||
pointer-events: none;
|
||
}
|
||
.input-group {
|
||
position: relative;
|
||
display: table;
|
||
border-collapse: separate;
|
||
}
|
||
.input-group[class*="col-"] {
|
||
float: none;
|
||
padding-left: 0;
|
||
padding-right: 0;
|
||
}
|
||
.input-group .form-control {
|
||
position: relative;
|
||
z-index: 2;
|
||
float: left;
|
||
width: 100%;
|
||
margin-bottom: 0;
|
||
}
|
||
.input-group .form-control:focus {
|
||
z-index: 3;
|
||
}
|
||
.input-group-lg > .form-control,
|
||
.input-group-lg > .input-group-addon,
|
||
.input-group-lg > .input-group-btn > .btn {
|
||
height: 45px;
|
||
padding: 10px 16px;
|
||
font-size: 17px;
|
||
line-height: 1.3333333;
|
||
border-radius: 3px;
|
||
}
|
||
select.input-group-lg > .form-control,
|
||
select.input-group-lg > .input-group-addon,
|
||
select.input-group-lg > .input-group-btn > .btn {
|
||
height: 45px;
|
||
line-height: 45px;
|
||
}
|
||
textarea.input-group-lg > .form-control,
|
||
textarea.input-group-lg > .input-group-addon,
|
||
textarea.input-group-lg > .input-group-btn > .btn,
|
||
select[multiple].input-group-lg > .form-control,
|
||
select[multiple].input-group-lg > .input-group-addon,
|
||
select[multiple].input-group-lg > .input-group-btn > .btn {
|
||
height: auto;
|
||
}
|
||
.input-group-sm > .form-control,
|
||
.input-group-sm > .input-group-addon,
|
||
.input-group-sm > .input-group-btn > .btn {
|
||
height: 30px;
|
||
padding: 5px 10px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
border-radius: 1px;
|
||
}
|
||
select.input-group-sm > .form-control,
|
||
select.input-group-sm > .input-group-addon,
|
||
select.input-group-sm > .input-group-btn > .btn {
|
||
height: 30px;
|
||
line-height: 30px;
|
||
}
|
||
textarea.input-group-sm > .form-control,
|
||
textarea.input-group-sm > .input-group-addon,
|
||
textarea.input-group-sm > .input-group-btn > .btn,
|
||
select[multiple].input-group-sm > .form-control,
|
||
select[multiple].input-group-sm > .input-group-addon,
|
||
select[multiple].input-group-sm > .input-group-btn > .btn {
|
||
height: auto;
|
||
}
|
||
.input-group-addon,
|
||
.input-group-btn,
|
||
.input-group .form-control {
|
||
display: table-cell;
|
||
}
|
||
.input-group-addon:not(:first-child):not(:last-child),
|
||
.input-group-btn:not(:first-child):not(:last-child),
|
||
.input-group .form-control:not(:first-child):not(:last-child) {
|
||
border-radius: 0;
|
||
}
|
||
.input-group-addon,
|
||
.input-group-btn {
|
||
width: 1%;
|
||
white-space: nowrap;
|
||
vertical-align: middle;
|
||
}
|
||
.input-group-addon {
|
||
padding: 6px 12px;
|
||
font-size: 13px;
|
||
font-weight: normal;
|
||
line-height: 1;
|
||
color: #555555;
|
||
text-align: center;
|
||
background-color: #eeeeee;
|
||
border: 1px solid #ccc;
|
||
border-radius: 2px;
|
||
}
|
||
.input-group-addon.input-sm {
|
||
padding: 5px 10px;
|
||
font-size: 12px;
|
||
border-radius: 1px;
|
||
}
|
||
.input-group-addon.input-lg {
|
||
padding: 10px 16px;
|
||
font-size: 17px;
|
||
border-radius: 3px;
|
||
}
|
||
.input-group-addon input[type="radio"],
|
||
.input-group-addon input[type="checkbox"] {
|
||
margin-top: 0;
|
||
}
|
||
.input-group .form-control:first-child,
|
||
.input-group-addon:first-child,
|
||
.input-group-btn:first-child > .btn,
|
||
.input-group-btn:first-child > .btn-group > .btn,
|
||
.input-group-btn:first-child > .dropdown-toggle,
|
||
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
|
||
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
|
||
border-bottom-right-radius: 0;
|
||
border-top-right-radius: 0;
|
||
}
|
||
.input-group-addon:first-child {
|
||
border-right: 0;
|
||
}
|
||
.input-group .form-control:last-child,
|
||
.input-group-addon:last-child,
|
||
.input-group-btn:last-child > .btn,
|
||
.input-group-btn:last-child > .btn-group > .btn,
|
||
.input-group-btn:last-child > .dropdown-toggle,
|
||
.input-group-btn:first-child > .btn:not(:first-child),
|
||
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
|
||
border-bottom-left-radius: 0;
|
||
border-top-left-radius: 0;
|
||
}
|
||
.input-group-addon:last-child {
|
||
border-left: 0;
|
||
}
|
||
.input-group-btn {
|
||
position: relative;
|
||
font-size: 0;
|
||
white-space: nowrap;
|
||
}
|
||
.input-group-btn > .btn {
|
||
position: relative;
|
||
}
|
||
.input-group-btn > .btn + .btn {
|
||
margin-left: -1px;
|
||
}
|
||
.input-group-btn > .btn:hover,
|
||
.input-group-btn > .btn:focus,
|
||
.input-group-btn > .btn:active {
|
||
z-index: 2;
|
||
}
|
||
.input-group-btn:first-child > .btn,
|
||
.input-group-btn:first-child > .btn-group {
|
||
margin-right: -1px;
|
||
}
|
||
.input-group-btn:last-child > .btn,
|
||
.input-group-btn:last-child > .btn-group {
|
||
z-index: 2;
|
||
margin-left: -1px;
|
||
}
|
||
.nav {
|
||
margin-bottom: 0;
|
||
padding-left: 0;
|
||
list-style: none;
|
||
}
|
||
.nav > li {
|
||
position: relative;
|
||
display: block;
|
||
}
|
||
.nav > li > a {
|
||
position: relative;
|
||
display: block;
|
||
padding: 10px 15px;
|
||
}
|
||
.nav > li > a:hover,
|
||
.nav > li > a:focus {
|
||
text-decoration: none;
|
||
background-color: #eeeeee;
|
||
}
|
||
.nav > li.disabled > a {
|
||
color: #777777;
|
||
}
|
||
.nav > li.disabled > a:hover,
|
||
.nav > li.disabled > a:focus {
|
||
color: #777777;
|
||
text-decoration: none;
|
||
background-color: transparent;
|
||
cursor: not-allowed;
|
||
}
|
||
.nav .open > a,
|
||
.nav .open > a:hover,
|
||
.nav .open > a:focus {
|
||
background-color: #eeeeee;
|
||
border-color: #337ab7;
|
||
}
|
||
.nav .nav-divider {
|
||
height: 1px;
|
||
margin: 8px 0;
|
||
overflow: hidden;
|
||
background-color: #e5e5e5;
|
||
}
|
||
.nav > li > a > img {
|
||
max-width: none;
|
||
}
|
||
.nav-tabs {
|
||
border-bottom: 1px solid #ddd;
|
||
}
|
||
.nav-tabs > li {
|
||
float: left;
|
||
margin-bottom: -1px;
|
||
}
|
||
.nav-tabs > li > a {
|
||
margin-right: 2px;
|
||
line-height: 1.42857143;
|
||
border: 1px solid transparent;
|
||
border-radius: 2px 2px 0 0;
|
||
}
|
||
.nav-tabs > li > a:hover {
|
||
border-color: #eeeeee #eeeeee #ddd;
|
||
}
|
||
.nav-tabs > li.active > a,
|
||
.nav-tabs > li.active > a:hover,
|
||
.nav-tabs > li.active > a:focus {
|
||
color: #555555;
|
||
background-color: #fff;
|
||
border: 1px solid #ddd;
|
||
border-bottom-color: transparent;
|
||
cursor: default;
|
||
}
|
||
.nav-tabs.nav-justified {
|
||
width: 100%;
|
||
border-bottom: 0;
|
||
}
|
||
.nav-tabs.nav-justified > li {
|
||
float: none;
|
||
}
|
||
.nav-tabs.nav-justified > li > a {
|
||
text-align: center;
|
||
margin-bottom: 5px;
|
||
}
|
||
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
|
||
top: auto;
|
||
left: auto;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.nav-tabs.nav-justified > li {
|
||
display: table-cell;
|
||
width: 1%;
|
||
}
|
||
.nav-tabs.nav-justified > li > a {
|
||
margin-bottom: 0;
|
||
}
|
||
}
|
||
.nav-tabs.nav-justified > li > a {
|
||
margin-right: 0;
|
||
border-radius: 2px;
|
||
}
|
||
.nav-tabs.nav-justified > .active > a,
|
||
.nav-tabs.nav-justified > .active > a:hover,
|
||
.nav-tabs.nav-justified > .active > a:focus {
|
||
border: 1px solid #ddd;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.nav-tabs.nav-justified > li > a {
|
||
border-bottom: 1px solid #ddd;
|
||
border-radius: 2px 2px 0 0;
|
||
}
|
||
.nav-tabs.nav-justified > .active > a,
|
||
.nav-tabs.nav-justified > .active > a:hover,
|
||
.nav-tabs.nav-justified > .active > a:focus {
|
||
border-bottom-color: #fff;
|
||
}
|
||
}
|
||
.nav-pills > li {
|
||
float: left;
|
||
}
|
||
.nav-pills > li > a {
|
||
border-radius: 2px;
|
||
}
|
||
.nav-pills > li + li {
|
||
margin-left: 2px;
|
||
}
|
||
.nav-pills > li.active > a,
|
||
.nav-pills > li.active > a:hover,
|
||
.nav-pills > li.active > a:focus {
|
||
color: #fff;
|
||
background-color: #337ab7;
|
||
}
|
||
.nav-stacked > li {
|
||
float: none;
|
||
}
|
||
.nav-stacked > li + li {
|
||
margin-top: 2px;
|
||
margin-left: 0;
|
||
}
|
||
.nav-justified {
|
||
width: 100%;
|
||
}
|
||
.nav-justified > li {
|
||
float: none;
|
||
}
|
||
.nav-justified > li > a {
|
||
text-align: center;
|
||
margin-bottom: 5px;
|
||
}
|
||
.nav-justified > .dropdown .dropdown-menu {
|
||
top: auto;
|
||
left: auto;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.nav-justified > li {
|
||
display: table-cell;
|
||
width: 1%;
|
||
}
|
||
.nav-justified > li > a {
|
||
margin-bottom: 0;
|
||
}
|
||
}
|
||
.nav-tabs-justified {
|
||
border-bottom: 0;
|
||
}
|
||
.nav-tabs-justified > li > a {
|
||
margin-right: 0;
|
||
border-radius: 2px;
|
||
}
|
||
.nav-tabs-justified > .active > a,
|
||
.nav-tabs-justified > .active > a:hover,
|
||
.nav-tabs-justified > .active > a:focus {
|
||
border: 1px solid #ddd;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.nav-tabs-justified > li > a {
|
||
border-bottom: 1px solid #ddd;
|
||
border-radius: 2px 2px 0 0;
|
||
}
|
||
.nav-tabs-justified > .active > a,
|
||
.nav-tabs-justified > .active > a:hover,
|
||
.nav-tabs-justified > .active > a:focus {
|
||
border-bottom-color: #fff;
|
||
}
|
||
}
|
||
.tab-content > .tab-pane {
|
||
display: none;
|
||
}
|
||
.tab-content > .active {
|
||
display: block;
|
||
}
|
||
.nav-tabs .dropdown-menu {
|
||
margin-top: -1px;
|
||
border-top-right-radius: 0;
|
||
border-top-left-radius: 0;
|
||
}
|
||
.navbar {
|
||
position: relative;
|
||
min-height: 30px;
|
||
margin-bottom: 18px;
|
||
border: 1px solid transparent;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar {
|
||
border-radius: 2px;
|
||
}
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-header {
|
||
float: left;
|
||
}
|
||
}
|
||
.navbar-collapse {
|
||
overflow-x: visible;
|
||
padding-right: 0px;
|
||
padding-left: 0px;
|
||
border-top: 1px solid transparent;
|
||
box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
|
||
-webkit-overflow-scrolling: touch;
|
||
}
|
||
.navbar-collapse.in {
|
||
overflow-y: auto;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-collapse {
|
||
width: auto;
|
||
border-top: 0;
|
||
box-shadow: none;
|
||
}
|
||
.navbar-collapse.collapse {
|
||
display: block !important;
|
||
height: auto !important;
|
||
padding-bottom: 0;
|
||
overflow: visible !important;
|
||
}
|
||
.navbar-collapse.in {
|
||
overflow-y: visible;
|
||
}
|
||
.navbar-fixed-top .navbar-collapse,
|
||
.navbar-static-top .navbar-collapse,
|
||
.navbar-fixed-bottom .navbar-collapse {
|
||
padding-left: 0;
|
||
padding-right: 0;
|
||
}
|
||
}
|
||
.navbar-fixed-top .navbar-collapse,
|
||
.navbar-fixed-bottom .navbar-collapse {
|
||
max-height: 340px;
|
||
}
|
||
@media (max-device-width: 540px) and (orientation: landscape) {
|
||
.navbar-fixed-top .navbar-collapse,
|
||
.navbar-fixed-bottom .navbar-collapse {
|
||
max-height: 200px;
|
||
}
|
||
}
|
||
.container > .navbar-header,
|
||
.container-fluid > .navbar-header,
|
||
.container > .navbar-collapse,
|
||
.container-fluid > .navbar-collapse {
|
||
margin-right: 0px;
|
||
margin-left: 0px;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.container > .navbar-header,
|
||
.container-fluid > .navbar-header,
|
||
.container > .navbar-collapse,
|
||
.container-fluid > .navbar-collapse {
|
||
margin-right: 0;
|
||
margin-left: 0;
|
||
}
|
||
}
|
||
.navbar-static-top {
|
||
z-index: 1000;
|
||
border-width: 0 0 1px;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-static-top {
|
||
border-radius: 0;
|
||
}
|
||
}
|
||
.navbar-fixed-top,
|
||
.navbar-fixed-bottom {
|
||
position: fixed;
|
||
right: 0;
|
||
left: 0;
|
||
z-index: 1030;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-fixed-top,
|
||
.navbar-fixed-bottom {
|
||
border-radius: 0;
|
||
}
|
||
}
|
||
.navbar-fixed-top {
|
||
top: 0;
|
||
border-width: 0 0 1px;
|
||
}
|
||
.navbar-fixed-bottom {
|
||
bottom: 0;
|
||
margin-bottom: 0;
|
||
border-width: 1px 0 0;
|
||
}
|
||
.navbar-brand {
|
||
float: left;
|
||
padding: 6px 0px;
|
||
font-size: 17px;
|
||
line-height: 18px;
|
||
height: 30px;
|
||
}
|
||
.navbar-brand:hover,
|
||
.navbar-brand:focus {
|
||
text-decoration: none;
|
||
}
|
||
.navbar-brand > img {
|
||
display: block;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar > .container .navbar-brand,
|
||
.navbar > .container-fluid .navbar-brand {
|
||
margin-left: 0px;
|
||
}
|
||
}
|
||
.navbar-toggle {
|
||
position: relative;
|
||
float: right;
|
||
margin-right: 0px;
|
||
padding: 9px 10px;
|
||
margin-top: -2px;
|
||
margin-bottom: -2px;
|
||
background-color: transparent;
|
||
background-image: none;
|
||
border: 1px solid transparent;
|
||
border-radius: 2px;
|
||
}
|
||
.navbar-toggle:focus {
|
||
outline: 0;
|
||
}
|
||
.navbar-toggle .icon-bar {
|
||
display: block;
|
||
width: 22px;
|
||
height: 2px;
|
||
border-radius: 1px;
|
||
}
|
||
.navbar-toggle .icon-bar + .icon-bar {
|
||
margin-top: 4px;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-toggle {
|
||
display: none;
|
||
}
|
||
}
|
||
.navbar-nav {
|
||
margin: 3px 0px;
|
||
}
|
||
.navbar-nav > li > a {
|
||
padding-top: 10px;
|
||
padding-bottom: 10px;
|
||
line-height: 18px;
|
||
}
|
||
@media (max-width: 540px) {
|
||
.navbar-nav .open .dropdown-menu {
|
||
position: static;
|
||
float: none;
|
||
width: auto;
|
||
margin-top: 0;
|
||
background-color: transparent;
|
||
border: 0;
|
||
box-shadow: none;
|
||
}
|
||
.navbar-nav .open .dropdown-menu > li > a,
|
||
.navbar-nav .open .dropdown-menu .dropdown-header {
|
||
padding: 5px 15px 5px 25px;
|
||
}
|
||
.navbar-nav .open .dropdown-menu > li > a {
|
||
line-height: 18px;
|
||
}
|
||
.navbar-nav .open .dropdown-menu > li > a:hover,
|
||
.navbar-nav .open .dropdown-menu > li > a:focus {
|
||
background-image: none;
|
||
}
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-nav {
|
||
float: left;
|
||
margin: 0;
|
||
}
|
||
.navbar-nav > li {
|
||
float: left;
|
||
}
|
||
.navbar-nav > li > a {
|
||
padding-top: 6px;
|
||
padding-bottom: 6px;
|
||
}
|
||
}
|
||
.navbar-form {
|
||
margin-left: 0px;
|
||
margin-right: 0px;
|
||
padding: 10px 0px;
|
||
border-top: 1px solid transparent;
|
||
border-bottom: 1px solid transparent;
|
||
-webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
|
||
box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
|
||
margin-top: -1px;
|
||
margin-bottom: -1px;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.navbar-form .form-group {
|
||
display: inline-block;
|
||
margin-bottom: 0;
|
||
vertical-align: middle;
|
||
}
|
||
.navbar-form .form-control {
|
||
display: inline-block;
|
||
width: auto;
|
||
vertical-align: middle;
|
||
}
|
||
.navbar-form .form-control-static {
|
||
display: inline-block;
|
||
}
|
||
.navbar-form .input-group {
|
||
display: inline-table;
|
||
vertical-align: middle;
|
||
}
|
||
.navbar-form .input-group .input-group-addon,
|
||
.navbar-form .input-group .input-group-btn,
|
||
.navbar-form .input-group .form-control {
|
||
width: auto;
|
||
}
|
||
.navbar-form .input-group > .form-control {
|
||
width: 100%;
|
||
}
|
||
.navbar-form .control-label {
|
||
margin-bottom: 0;
|
||
vertical-align: middle;
|
||
}
|
||
.navbar-form .radio,
|
||
.navbar-form .checkbox {
|
||
display: inline-block;
|
||
margin-top: 0;
|
||
margin-bottom: 0;
|
||
vertical-align: middle;
|
||
}
|
||
.navbar-form .radio label,
|
||
.navbar-form .checkbox label {
|
||
padding-left: 0;
|
||
}
|
||
.navbar-form .radio input[type="radio"],
|
||
.navbar-form .checkbox input[type="checkbox"] {
|
||
position: relative;
|
||
margin-left: 0;
|
||
}
|
||
.navbar-form .has-feedback .form-control-feedback {
|
||
top: 0;
|
||
}
|
||
}
|
||
@media (max-width: 540px) {
|
||
.navbar-form .form-group {
|
||
margin-bottom: 5px;
|
||
}
|
||
.navbar-form .form-group:last-child {
|
||
margin-bottom: 0;
|
||
}
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-form {
|
||
width: auto;
|
||
border: 0;
|
||
margin-left: 0;
|
||
margin-right: 0;
|
||
padding-top: 0;
|
||
padding-bottom: 0;
|
||
-webkit-box-shadow: none;
|
||
box-shadow: none;
|
||
}
|
||
}
|
||
.navbar-nav > li > .dropdown-menu {
|
||
margin-top: 0;
|
||
border-top-right-radius: 0;
|
||
border-top-left-radius: 0;
|
||
}
|
||
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
|
||
margin-bottom: 0;
|
||
border-top-right-radius: 2px;
|
||
border-top-left-radius: 2px;
|
||
border-bottom-right-radius: 0;
|
||
border-bottom-left-radius: 0;
|
||
}
|
||
.navbar-btn {
|
||
margin-top: -1px;
|
||
margin-bottom: -1px;
|
||
}
|
||
.navbar-btn.btn-sm {
|
||
margin-top: 0px;
|
||
margin-bottom: 0px;
|
||
}
|
||
.navbar-btn.btn-xs {
|
||
margin-top: 4px;
|
||
margin-bottom: 4px;
|
||
}
|
||
.navbar-text {
|
||
margin-top: 6px;
|
||
margin-bottom: 6px;
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-text {
|
||
float: left;
|
||
margin-left: 0px;
|
||
margin-right: 0px;
|
||
}
|
||
}
|
||
@media (min-width: 541px) {
|
||
.navbar-left {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
.navbar-right {
|
||
float: right !important;
|
||
float: right;
|
||
margin-right: 0px;
|
||
}
|
||
.navbar-right ~ .navbar-right {
|
||
margin-right: 0;
|
||
}
|
||
}
|
||
.navbar-default {
|
||
background-color: #f8f8f8;
|
||
border-color: #e7e7e7;
|
||
}
|
||
.navbar-default .navbar-brand {
|
||
color: #777;
|
||
}
|
||
.navbar-default .navbar-brand:hover,
|
||
.navbar-default .navbar-brand:focus {
|
||
color: #5e5e5e;
|
||
background-color: transparent;
|
||
}
|
||
.navbar-default .navbar-text {
|
||
color: #777;
|
||
}
|
||
.navbar-default .navbar-nav > li > a {
|
||
color: #777;
|
||
}
|
||
.navbar-default .navbar-nav > li > a:hover,
|
||
.navbar-default .navbar-nav > li > a:focus {
|
||
color: #333;
|
||
background-color: transparent;
|
||
}
|
||
.navbar-default .navbar-nav > .active > a,
|
||
.navbar-default .navbar-nav > .active > a:hover,
|
||
.navbar-default .navbar-nav > .active > a:focus {
|
||
color: #555;
|
||
background-color: #e7e7e7;
|
||
}
|
||
.navbar-default .navbar-nav > .disabled > a,
|
||
.navbar-default .navbar-nav > .disabled > a:hover,
|
||
.navbar-default .navbar-nav > .disabled > a:focus {
|
||
color: #ccc;
|
||
background-color: transparent;
|
||
}
|
||
.navbar-default .navbar-toggle {
|
||
border-color: #ddd;
|
||
}
|
||
.navbar-default .navbar-toggle:hover,
|
||
.navbar-default .navbar-toggle:focus {
|
||
background-color: #ddd;
|
||
}
|
||
.navbar-default .navbar-toggle .icon-bar {
|
||
background-color: #888;
|
||
}
|
||
.navbar-default .navbar-collapse,
|
||
.navbar-default .navbar-form {
|
||
border-color: #e7e7e7;
|
||
}
|
||
.navbar-default .navbar-nav > .open > a,
|
||
.navbar-default .navbar-nav > .open > a:hover,
|
||
.navbar-default .navbar-nav > .open > a:focus {
|
||
background-color: #e7e7e7;
|
||
color: #555;
|
||
}
|
||
@media (max-width: 540px) {
|
||
.navbar-default .navbar-nav .open .dropdown-menu > li > a {
|
||
color: #777;
|
||
}
|
||
.navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
|
||
.navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
|
||
color: #333;
|
||
background-color: transparent;
|
||
}
|
||
.navbar-default .navbar-nav .open .dropdown-menu > .active > a,
|
||
.navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
|
||
.navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
|
||
color: #555;
|
||
background-color: #e7e7e7;
|
||
}
|
||
.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
|
||
.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
|
||
.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
|
||
color: #ccc;
|
||
background-color: transparent;
|
||
}
|
||
}
|
||
.navbar-default .navbar-link {
|
||
color: #777;
|
||
}
|
||
.navbar-default .navbar-link:hover {
|
||
color: #333;
|
||
}
|
||
.navbar-default .btn-link {
|
||
color: #777;
|
||
}
|
||
.navbar-default .btn-link:hover,
|
||
.navbar-default .btn-link:focus {
|
||
color: #333;
|
||
}
|
||
.navbar-default .btn-link[disabled]:hover,
|
||
fieldset[disabled] .navbar-default .btn-link:hover,
|
||
.navbar-default .btn-link[disabled]:focus,
|
||
fieldset[disabled] .navbar-default .btn-link:focus {
|
||
color: #ccc;
|
||
}
|
||
.navbar-inverse {
|
||
background-color: #222;
|
||
border-color: #080808;
|
||
}
|
||
.navbar-inverse .navbar-brand {
|
||
color: #9d9d9d;
|
||
}
|
||
.navbar-inverse .navbar-brand:hover,
|
||
.navbar-inverse .navbar-brand:focus {
|
||
color: #fff;
|
||
background-color: transparent;
|
||
}
|
||
.navbar-inverse .navbar-text {
|
||
color: #9d9d9d;
|
||
}
|
||
.navbar-inverse .navbar-nav > li > a {
|
||
color: #9d9d9d;
|
||
}
|
||
.navbar-inverse .navbar-nav > li > a:hover,
|
||
.navbar-inverse .navbar-nav > li > a:focus {
|
||
color: #fff;
|
||
background-color: transparent;
|
||
}
|
||
.navbar-inverse .navbar-nav > .active > a,
|
||
.navbar-inverse .navbar-nav > .active > a:hover,
|
||
.navbar-inverse .navbar-nav > .active > a:focus {
|
||
color: #fff;
|
||
background-color: #080808;
|
||
}
|
||
.navbar-inverse .navbar-nav > .disabled > a,
|
||
.navbar-inverse .navbar-nav > .disabled > a:hover,
|
||
.navbar-inverse .navbar-nav > .disabled > a:focus {
|
||
color: #444;
|
||
background-color: transparent;
|
||
}
|
||
.navbar-inverse .navbar-toggle {
|
||
border-color: #333;
|
||
}
|
||
.navbar-inverse .navbar-toggle:hover,
|
||
.navbar-inverse .navbar-toggle:focus {
|
||
background-color: #333;
|
||
}
|
||
.navbar-inverse .navbar-toggle .icon-bar {
|
||
background-color: #fff;
|
||
}
|
||
.navbar-inverse .navbar-collapse,
|
||
.navbar-inverse .navbar-form {
|
||
border-color: #101010;
|
||
}
|
||
.navbar-inverse .navbar-nav > .open > a,
|
||
.navbar-inverse .navbar-nav > .open > a:hover,
|
||
.navbar-inverse .navbar-nav > .open > a:focus {
|
||
background-color: #080808;
|
||
color: #fff;
|
||
}
|
||
@media (max-width: 540px) {
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
|
||
border-color: #080808;
|
||
}
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu .divider {
|
||
background-color: #080808;
|
||
}
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
|
||
color: #9d9d9d;
|
||
}
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
|
||
color: #fff;
|
||
background-color: transparent;
|
||
}
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
|
||
color: #fff;
|
||
background-color: #080808;
|
||
}
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
|
||
.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
|
||
color: #444;
|
||
background-color: transparent;
|
||
}
|
||
}
|
||
.navbar-inverse .navbar-link {
|
||
color: #9d9d9d;
|
||
}
|
||
.navbar-inverse .navbar-link:hover {
|
||
color: #fff;
|
||
}
|
||
.navbar-inverse .btn-link {
|
||
color: #9d9d9d;
|
||
}
|
||
.navbar-inverse .btn-link:hover,
|
||
.navbar-inverse .btn-link:focus {
|
||
color: #fff;
|
||
}
|
||
.navbar-inverse .btn-link[disabled]:hover,
|
||
fieldset[disabled] .navbar-inverse .btn-link:hover,
|
||
.navbar-inverse .btn-link[disabled]:focus,
|
||
fieldset[disabled] .navbar-inverse .btn-link:focus {
|
||
color: #444;
|
||
}
|
||
.breadcrumb {
|
||
padding: 8px 15px;
|
||
margin-bottom: 18px;
|
||
list-style: none;
|
||
background-color: #f5f5f5;
|
||
border-radius: 2px;
|
||
}
|
||
.breadcrumb > li {
|
||
display: inline-block;
|
||
}
|
||
.breadcrumb > li + li:before {
|
||
content: "/\00a0";
|
||
padding: 0 5px;
|
||
color: #5e5e5e;
|
||
}
|
||
.breadcrumb > .active {
|
||
color: #777777;
|
||
}
|
||
.pagination {
|
||
display: inline-block;
|
||
padding-left: 0;
|
||
margin: 18px 0;
|
||
border-radius: 2px;
|
||
}
|
||
.pagination > li {
|
||
display: inline;
|
||
}
|
||
.pagination > li > a,
|
||
.pagination > li > span {
|
||
position: relative;
|
||
float: left;
|
||
padding: 6px 12px;
|
||
line-height: 1.42857143;
|
||
text-decoration: none;
|
||
color: #337ab7;
|
||
background-color: #fff;
|
||
border: 1px solid #ddd;
|
||
margin-left: -1px;
|
||
}
|
||
.pagination > li:first-child > a,
|
||
.pagination > li:first-child > span {
|
||
margin-left: 0;
|
||
border-bottom-left-radius: 2px;
|
||
border-top-left-radius: 2px;
|
||
}
|
||
.pagination > li:last-child > a,
|
||
.pagination > li:last-child > span {
|
||
border-bottom-right-radius: 2px;
|
||
border-top-right-radius: 2px;
|
||
}
|
||
.pagination > li > a:hover,
|
||
.pagination > li > span:hover,
|
||
.pagination > li > a:focus,
|
||
.pagination > li > span:focus {
|
||
z-index: 2;
|
||
color: #23527c;
|
||
background-color: #eeeeee;
|
||
border-color: #ddd;
|
||
}
|
||
.pagination > .active > a,
|
||
.pagination > .active > span,
|
||
.pagination > .active > a:hover,
|
||
.pagination > .active > span:hover,
|
||
.pagination > .active > a:focus,
|
||
.pagination > .active > span:focus {
|
||
z-index: 3;
|
||
color: #fff;
|
||
background-color: #337ab7;
|
||
border-color: #337ab7;
|
||
cursor: default;
|
||
}
|
||
.pagination > .disabled > span,
|
||
.pagination > .disabled > span:hover,
|
||
.pagination > .disabled > span:focus,
|
||
.pagination > .disabled > a,
|
||
.pagination > .disabled > a:hover,
|
||
.pagination > .disabled > a:focus {
|
||
color: #777777;
|
||
background-color: #fff;
|
||
border-color: #ddd;
|
||
cursor: not-allowed;
|
||
}
|
||
.pagination-lg > li > a,
|
||
.pagination-lg > li > span {
|
||
padding: 10px 16px;
|
||
font-size: 17px;
|
||
line-height: 1.3333333;
|
||
}
|
||
.pagination-lg > li:first-child > a,
|
||
.pagination-lg > li:first-child > span {
|
||
border-bottom-left-radius: 3px;
|
||
border-top-left-radius: 3px;
|
||
}
|
||
.pagination-lg > li:last-child > a,
|
||
.pagination-lg > li:last-child > span {
|
||
border-bottom-right-radius: 3px;
|
||
border-top-right-radius: 3px;
|
||
}
|
||
.pagination-sm > li > a,
|
||
.pagination-sm > li > span {
|
||
padding: 5px 10px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
}
|
||
.pagination-sm > li:first-child > a,
|
||
.pagination-sm > li:first-child > span {
|
||
border-bottom-left-radius: 1px;
|
||
border-top-left-radius: 1px;
|
||
}
|
||
.pagination-sm > li:last-child > a,
|
||
.pagination-sm > li:last-child > span {
|
||
border-bottom-right-radius: 1px;
|
||
border-top-right-radius: 1px;
|
||
}
|
||
.pager {
|
||
padding-left: 0;
|
||
margin: 18px 0;
|
||
list-style: none;
|
||
text-align: center;
|
||
}
|
||
.pager li {
|
||
display: inline;
|
||
}
|
||
.pager li > a,
|
||
.pager li > span {
|
||
display: inline-block;
|
||
padding: 5px 14px;
|
||
background-color: #fff;
|
||
border: 1px solid #ddd;
|
||
border-radius: 15px;
|
||
}
|
||
.pager li > a:hover,
|
||
.pager li > a:focus {
|
||
text-decoration: none;
|
||
background-color: #eeeeee;
|
||
}
|
||
.pager .next > a,
|
||
.pager .next > span {
|
||
float: right;
|
||
}
|
||
.pager .previous > a,
|
||
.pager .previous > span {
|
||
float: left;
|
||
}
|
||
.pager .disabled > a,
|
||
.pager .disabled > a:hover,
|
||
.pager .disabled > a:focus,
|
||
.pager .disabled > span {
|
||
color: #777777;
|
||
background-color: #fff;
|
||
cursor: not-allowed;
|
||
}
|
||
.label {
|
||
display: inline;
|
||
padding: .2em .6em .3em;
|
||
font-size: 75%;
|
||
font-weight: bold;
|
||
line-height: 1;
|
||
color: #fff;
|
||
text-align: center;
|
||
white-space: nowrap;
|
||
vertical-align: baseline;
|
||
border-radius: .25em;
|
||
}
|
||
a.label:hover,
|
||
a.label:focus {
|
||
color: #fff;
|
||
text-decoration: none;
|
||
cursor: pointer;
|
||
}
|
||
.label:empty {
|
||
display: none;
|
||
}
|
||
.btn .label {
|
||
position: relative;
|
||
top: -1px;
|
||
}
|
||
.label-default {
|
||
background-color: #777777;
|
||
}
|
||
.label-default[href]:hover,
|
||
.label-default[href]:focus {
|
||
background-color: #5e5e5e;
|
||
}
|
||
.label-primary {
|
||
background-color: #337ab7;
|
||
}
|
||
.label-primary[href]:hover,
|
||
.label-primary[href]:focus {
|
||
background-color: #286090;
|
||
}
|
||
.label-success {
|
||
background-color: #5cb85c;
|
||
}
|
||
.label-success[href]:hover,
|
||
.label-success[href]:focus {
|
||
background-color: #449d44;
|
||
}
|
||
.label-info {
|
||
background-color: #5bc0de;
|
||
}
|
||
.label-info[href]:hover,
|
||
.label-info[href]:focus {
|
||
background-color: #31b0d5;
|
||
}
|
||
.label-warning {
|
||
background-color: #f0ad4e;
|
||
}
|
||
.label-warning[href]:hover,
|
||
.label-warning[href]:focus {
|
||
background-color: #ec971f;
|
||
}
|
||
.label-danger {
|
||
background-color: #d9534f;
|
||
}
|
||
.label-danger[href]:hover,
|
||
.label-danger[href]:focus {
|
||
background-color: #c9302c;
|
||
}
|
||
.badge {
|
||
display: inline-block;
|
||
min-width: 10px;
|
||
padding: 3px 7px;
|
||
font-size: 12px;
|
||
font-weight: bold;
|
||
color: #fff;
|
||
line-height: 1;
|
||
vertical-align: middle;
|
||
white-space: nowrap;
|
||
text-align: center;
|
||
background-color: #777777;
|
||
border-radius: 10px;
|
||
}
|
||
.badge:empty {
|
||
display: none;
|
||
}
|
||
.btn .badge {
|
||
position: relative;
|
||
top: -1px;
|
||
}
|
||
.btn-xs .badge,
|
||
.btn-group-xs > .btn .badge {
|
||
top: 0;
|
||
padding: 1px 5px;
|
||
}
|
||
a.badge:hover,
|
||
a.badge:focus {
|
||
color: #fff;
|
||
text-decoration: none;
|
||
cursor: pointer;
|
||
}
|
||
.list-group-item.active > .badge,
|
||
.nav-pills > .active > a > .badge {
|
||
color: #337ab7;
|
||
background-color: #fff;
|
||
}
|
||
.list-group-item > .badge {
|
||
float: right;
|
||
}
|
||
.list-group-item > .badge + .badge {
|
||
margin-right: 5px;
|
||
}
|
||
.nav-pills > li > a > .badge {
|
||
margin-left: 3px;
|
||
}
|
||
.jumbotron {
|
||
padding-top: 30px;
|
||
padding-bottom: 30px;
|
||
margin-bottom: 30px;
|
||
color: inherit;
|
||
background-color: #eeeeee;
|
||
}
|
||
.jumbotron h1,
|
||
.jumbotron .h1 {
|
||
color: inherit;
|
||
}
|
||
.jumbotron p {
|
||
margin-bottom: 15px;
|
||
font-size: 20px;
|
||
font-weight: 200;
|
||
}
|
||
.jumbotron > hr {
|
||
border-top-color: #d5d5d5;
|
||
}
|
||
.container .jumbotron,
|
||
.container-fluid .jumbotron {
|
||
border-radius: 3px;
|
||
padding-left: 0px;
|
||
padding-right: 0px;
|
||
}
|
||
.jumbotron .container {
|
||
max-width: 100%;
|
||
}
|
||
@media screen and (min-width: 768px) {
|
||
.jumbotron {
|
||
padding-top: 48px;
|
||
padding-bottom: 48px;
|
||
}
|
||
.container .jumbotron,
|
||
.container-fluid .jumbotron {
|
||
padding-left: 60px;
|
||
padding-right: 60px;
|
||
}
|
||
.jumbotron h1,
|
||
.jumbotron .h1 {
|
||
font-size: 59px;
|
||
}
|
||
}
|
||
.thumbnail {
|
||
display: block;
|
||
padding: 4px;
|
||
margin-bottom: 18px;
|
||
line-height: 1.42857143;
|
||
background-color: #fff;
|
||
border: 1px solid #ddd;
|
||
border-radius: 2px;
|
||
-webkit-transition: border 0.2s ease-in-out;
|
||
-o-transition: border 0.2s ease-in-out;
|
||
transition: border 0.2s ease-in-out;
|
||
}
|
||
.thumbnail > img,
|
||
.thumbnail a > img {
|
||
margin-left: auto;
|
||
margin-right: auto;
|
||
}
|
||
a.thumbnail:hover,
|
||
a.thumbnail:focus,
|
||
a.thumbnail.active {
|
||
border-color: #337ab7;
|
||
}
|
||
.thumbnail .caption {
|
||
padding: 9px;
|
||
color: #000;
|
||
}
|
||
.alert {
|
||
padding: 15px;
|
||
margin-bottom: 18px;
|
||
border: 1px solid transparent;
|
||
border-radius: 2px;
|
||
}
|
||
.alert h4 {
|
||
margin-top: 0;
|
||
color: inherit;
|
||
}
|
||
.alert .alert-link {
|
||
font-weight: bold;
|
||
}
|
||
.alert > p,
|
||
.alert > ul {
|
||
margin-bottom: 0;
|
||
}
|
||
.alert > p + p {
|
||
margin-top: 5px;
|
||
}
|
||
.alert-dismissable,
|
||
.alert-dismissible {
|
||
padding-right: 35px;
|
||
}
|
||
.alert-dismissable .close,
|
||
.alert-dismissible .close {
|
||
position: relative;
|
||
top: -2px;
|
||
right: -21px;
|
||
color: inherit;
|
||
}
|
||
.alert-success {
|
||
background-color: #dff0d8;
|
||
border-color: #d6e9c6;
|
||
color: #3c763d;
|
||
}
|
||
.alert-success hr {
|
||
border-top-color: #c9e2b3;
|
||
}
|
||
.alert-success .alert-link {
|
||
color: #2b542c;
|
||
}
|
||
.alert-info {
|
||
background-color: #d9edf7;
|
||
border-color: #bce8f1;
|
||
color: #31708f;
|
||
}
|
||
.alert-info hr {
|
||
border-top-color: #a6e1ec;
|
||
}
|
||
.alert-info .alert-link {
|
||
color: #245269;
|
||
}
|
||
.alert-warning {
|
||
background-color: #fcf8e3;
|
||
border-color: #faebcc;
|
||
color: #8a6d3b;
|
||
}
|
||
.alert-warning hr {
|
||
border-top-color: #f7e1b5;
|
||
}
|
||
.alert-warning .alert-link {
|
||
color: #66512c;
|
||
}
|
||
.alert-danger {
|
||
background-color: #f2dede;
|
||
border-color: #ebccd1;
|
||
color: #a94442;
|
||
}
|
||
.alert-danger hr {
|
||
border-top-color: #e4b9c0;
|
||
}
|
||
.alert-danger .alert-link {
|
||
color: #843534;
|
||
}
|
||
@-webkit-keyframes progress-bar-stripes {
|
||
from {
|
||
background-position: 40px 0;
|
||
}
|
||
to {
|
||
background-position: 0 0;
|
||
}
|
||
}
|
||
@keyframes progress-bar-stripes {
|
||
from {
|
||
background-position: 40px 0;
|
||
}
|
||
to {
|
||
background-position: 0 0;
|
||
}
|
||
}
|
||
.progress {
|
||
overflow: hidden;
|
||
height: 18px;
|
||
margin-bottom: 18px;
|
||
background-color: #f5f5f5;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
|
||
box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
|
||
}
|
||
.progress-bar {
|
||
float: left;
|
||
width: 0%;
|
||
height: 100%;
|
||
font-size: 12px;
|
||
line-height: 18px;
|
||
color: #fff;
|
||
text-align: center;
|
||
background-color: #337ab7;
|
||
-webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
|
||
box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
|
||
-webkit-transition: width 0.6s ease;
|
||
-o-transition: width 0.6s ease;
|
||
transition: width 0.6s ease;
|
||
}
|
||
.progress-striped .progress-bar,
|
||
.progress-bar-striped {
|
||
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-size: 40px 40px;
|
||
}
|
||
.progress.active .progress-bar,
|
||
.progress-bar.active {
|
||
-webkit-animation: progress-bar-stripes 2s linear infinite;
|
||
-o-animation: progress-bar-stripes 2s linear infinite;
|
||
animation: progress-bar-stripes 2s linear infinite;
|
||
}
|
||
.progress-bar-success {
|
||
background-color: #5cb85c;
|
||
}
|
||
.progress-striped .progress-bar-success {
|
||
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
}
|
||
.progress-bar-info {
|
||
background-color: #5bc0de;
|
||
}
|
||
.progress-striped .progress-bar-info {
|
||
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
}
|
||
.progress-bar-warning {
|
||
background-color: #f0ad4e;
|
||
}
|
||
.progress-striped .progress-bar-warning {
|
||
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
}
|
||
.progress-bar-danger {
|
||
background-color: #d9534f;
|
||
}
|
||
.progress-striped .progress-bar-danger {
|
||
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
|
||
}
|
||
.media {
|
||
margin-top: 15px;
|
||
}
|
||
.media:first-child {
|
||
margin-top: 0;
|
||
}
|
||
.media,
|
||
.media-body {
|
||
zoom: 1;
|
||
overflow: hidden;
|
||
}
|
||
.media-body {
|
||
width: 10000px;
|
||
}
|
||
.media-object {
|
||
display: block;
|
||
}
|
||
.media-object.img-thumbnail {
|
||
max-width: none;
|
||
}
|
||
.media-right,
|
||
.media > .pull-right {
|
||
padding-left: 10px;
|
||
}
|
||
.media-left,
|
||
.media > .pull-left {
|
||
padding-right: 10px;
|
||
}
|
||
.media-left,
|
||
.media-right,
|
||
.media-body {
|
||
display: table-cell;
|
||
vertical-align: top;
|
||
}
|
||
.media-middle {
|
||
vertical-align: middle;
|
||
}
|
||
.media-bottom {
|
||
vertical-align: bottom;
|
||
}
|
||
.media-heading {
|
||
margin-top: 0;
|
||
margin-bottom: 5px;
|
||
}
|
||
.media-list {
|
||
padding-left: 0;
|
||
list-style: none;
|
||
}
|
||
.list-group {
|
||
margin-bottom: 20px;
|
||
padding-left: 0;
|
||
}
|
||
.list-group-item {
|
||
position: relative;
|
||
display: block;
|
||
padding: 10px 15px;
|
||
margin-bottom: -1px;
|
||
background-color: #fff;
|
||
border: 1px solid #ddd;
|
||
}
|
||
.list-group-item:first-child {
|
||
border-top-right-radius: 2px;
|
||
border-top-left-radius: 2px;
|
||
}
|
||
.list-group-item:last-child {
|
||
margin-bottom: 0;
|
||
border-bottom-right-radius: 2px;
|
||
border-bottom-left-radius: 2px;
|
||
}
|
||
a.list-group-item,
|
||
button.list-group-item {
|
||
color: #555;
|
||
}
|
||
a.list-group-item .list-group-item-heading,
|
||
button.list-group-item .list-group-item-heading {
|
||
color: #333;
|
||
}
|
||
a.list-group-item:hover,
|
||
button.list-group-item:hover,
|
||
a.list-group-item:focus,
|
||
button.list-group-item:focus {
|
||
text-decoration: none;
|
||
color: #555;
|
||
background-color: #f5f5f5;
|
||
}
|
||
button.list-group-item {
|
||
width: 100%;
|
||
text-align: left;
|
||
}
|
||
.list-group-item.disabled,
|
||
.list-group-item.disabled:hover,
|
||
.list-group-item.disabled:focus {
|
||
background-color: #eeeeee;
|
||
color: #777777;
|
||
cursor: not-allowed;
|
||
}
|
||
.list-group-item.disabled .list-group-item-heading,
|
||
.list-group-item.disabled:hover .list-group-item-heading,
|
||
.list-group-item.disabled:focus .list-group-item-heading {
|
||
color: inherit;
|
||
}
|
||
.list-group-item.disabled .list-group-item-text,
|
||
.list-group-item.disabled:hover .list-group-item-text,
|
||
.list-group-item.disabled:focus .list-group-item-text {
|
||
color: #777777;
|
||
}
|
||
.list-group-item.active,
|
||
.list-group-item.active:hover,
|
||
.list-group-item.active:focus {
|
||
z-index: 2;
|
||
color: #fff;
|
||
background-color: #337ab7;
|
||
border-color: #337ab7;
|
||
}
|
||
.list-group-item.active .list-group-item-heading,
|
||
.list-group-item.active:hover .list-group-item-heading,
|
||
.list-group-item.active:focus .list-group-item-heading,
|
||
.list-group-item.active .list-group-item-heading > small,
|
||
.list-group-item.active:hover .list-group-item-heading > small,
|
||
.list-group-item.active:focus .list-group-item-heading > small,
|
||
.list-group-item.active .list-group-item-heading > .small,
|
||
.list-group-item.active:hover .list-group-item-heading > .small,
|
||
.list-group-item.active:focus .list-group-item-heading > .small {
|
||
color: inherit;
|
||
}
|
||
.list-group-item.active .list-group-item-text,
|
||
.list-group-item.active:hover .list-group-item-text,
|
||
.list-group-item.active:focus .list-group-item-text {
|
||
color: #c7ddef;
|
||
}
|
||
.list-group-item-success {
|
||
color: #3c763d;
|
||
background-color: #dff0d8;
|
||
}
|
||
a.list-group-item-success,
|
||
button.list-group-item-success {
|
||
color: #3c763d;
|
||
}
|
||
a.list-group-item-success .list-group-item-heading,
|
||
button.list-group-item-success .list-group-item-heading {
|
||
color: inherit;
|
||
}
|
||
a.list-group-item-success:hover,
|
||
button.list-group-item-success:hover,
|
||
a.list-group-item-success:focus,
|
||
button.list-group-item-success:focus {
|
||
color: #3c763d;
|
||
background-color: #d0e9c6;
|
||
}
|
||
a.list-group-item-success.active,
|
||
button.list-group-item-success.active,
|
||
a.list-group-item-success.active:hover,
|
||
button.list-group-item-success.active:hover,
|
||
a.list-group-item-success.active:focus,
|
||
button.list-group-item-success.active:focus {
|
||
color: #fff;
|
||
background-color: #3c763d;
|
||
border-color: #3c763d;
|
||
}
|
||
.list-group-item-info {
|
||
color: #31708f;
|
||
background-color: #d9edf7;
|
||
}
|
||
a.list-group-item-info,
|
||
button.list-group-item-info {
|
||
color: #31708f;
|
||
}
|
||
a.list-group-item-info .list-group-item-heading,
|
||
button.list-group-item-info .list-group-item-heading {
|
||
color: inherit;
|
||
}
|
||
a.list-group-item-info:hover,
|
||
button.list-group-item-info:hover,
|
||
a.list-group-item-info:focus,
|
||
button.list-group-item-info:focus {
|
||
color: #31708f;
|
||
background-color: #c4e3f3;
|
||
}
|
||
a.list-group-item-info.active,
|
||
button.list-group-item-info.active,
|
||
a.list-group-item-info.active:hover,
|
||
button.list-group-item-info.active:hover,
|
||
a.list-group-item-info.active:focus,
|
||
button.list-group-item-info.active:focus {
|
||
color: #fff;
|
||
background-color: #31708f;
|
||
border-color: #31708f;
|
||
}
|
||
.list-group-item-warning {
|
||
color: #8a6d3b;
|
||
background-color: #fcf8e3;
|
||
}
|
||
a.list-group-item-warning,
|
||
button.list-group-item-warning {
|
||
color: #8a6d3b;
|
||
}
|
||
a.list-group-item-warning .list-group-item-heading,
|
||
button.list-group-item-warning .list-group-item-heading {
|
||
color: inherit;
|
||
}
|
||
a.list-group-item-warning:hover,
|
||
button.list-group-item-warning:hover,
|
||
a.list-group-item-warning:focus,
|
||
button.list-group-item-warning:focus {
|
||
color: #8a6d3b;
|
||
background-color: #faf2cc;
|
||
}
|
||
a.list-group-item-warning.active,
|
||
button.list-group-item-warning.active,
|
||
a.list-group-item-warning.active:hover,
|
||
button.list-group-item-warning.active:hover,
|
||
a.list-group-item-warning.active:focus,
|
||
button.list-group-item-warning.active:focus {
|
||
color: #fff;
|
||
background-color: #8a6d3b;
|
||
border-color: #8a6d3b;
|
||
}
|
||
.list-group-item-danger {
|
||
color: #a94442;
|
||
background-color: #f2dede;
|
||
}
|
||
a.list-group-item-danger,
|
||
button.list-group-item-danger {
|
||
color: #a94442;
|
||
}
|
||
a.list-group-item-danger .list-group-item-heading,
|
||
button.list-group-item-danger .list-group-item-heading {
|
||
color: inherit;
|
||
}
|
||
a.list-group-item-danger:hover,
|
||
button.list-group-item-danger:hover,
|
||
a.list-group-item-danger:focus,
|
||
button.list-group-item-danger:focus {
|
||
color: #a94442;
|
||
background-color: #ebcccc;
|
||
}
|
||
a.list-group-item-danger.active,
|
||
button.list-group-item-danger.active,
|
||
a.list-group-item-danger.active:hover,
|
||
button.list-group-item-danger.active:hover,
|
||
a.list-group-item-danger.active:focus,
|
||
button.list-group-item-danger.active:focus {
|
||
color: #fff;
|
||
background-color: #a94442;
|
||
border-color: #a94442;
|
||
}
|
||
.list-group-item-heading {
|
||
margin-top: 0;
|
||
margin-bottom: 5px;
|
||
}
|
||
.list-group-item-text {
|
||
margin-bottom: 0;
|
||
line-height: 1.3;
|
||
}
|
||
.panel {
|
||
margin-bottom: 18px;
|
||
background-color: #fff;
|
||
border: 1px solid transparent;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
|
||
box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
|
||
}
|
||
.panel-body {
|
||
padding: 15px;
|
||
}
|
||
.panel-heading {
|
||
padding: 10px 15px;
|
||
border-bottom: 1px solid transparent;
|
||
border-top-right-radius: 1px;
|
||
border-top-left-radius: 1px;
|
||
}
|
||
.panel-heading > .dropdown .dropdown-toggle {
|
||
color: inherit;
|
||
}
|
||
.panel-title {
|
||
margin-top: 0;
|
||
margin-bottom: 0;
|
||
font-size: 15px;
|
||
color: inherit;
|
||
}
|
||
.panel-title > a,
|
||
.panel-title > small,
|
||
.panel-title > .small,
|
||
.panel-title > small > a,
|
||
.panel-title > .small > a {
|
||
color: inherit;
|
||
}
|
||
.panel-footer {
|
||
padding: 10px 15px;
|
||
background-color: #f5f5f5;
|
||
border-top: 1px solid #ddd;
|
||
border-bottom-right-radius: 1px;
|
||
border-bottom-left-radius: 1px;
|
||
}
|
||
.panel > .list-group,
|
||
.panel > .panel-collapse > .list-group {
|
||
margin-bottom: 0;
|
||
}
|
||
.panel > .list-group .list-group-item,
|
||
.panel > .panel-collapse > .list-group .list-group-item {
|
||
border-width: 1px 0;
|
||
border-radius: 0;
|
||
}
|
||
.panel > .list-group:first-child .list-group-item:first-child,
|
||
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
|
||
border-top: 0;
|
||
border-top-right-radius: 1px;
|
||
border-top-left-radius: 1px;
|
||
}
|
||
.panel > .list-group:last-child .list-group-item:last-child,
|
||
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
|
||
border-bottom: 0;
|
||
border-bottom-right-radius: 1px;
|
||
border-bottom-left-radius: 1px;
|
||
}
|
||
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
|
||
border-top-right-radius: 0;
|
||
border-top-left-radius: 0;
|
||
}
|
||
.panel-heading + .list-group .list-group-item:first-child {
|
||
border-top-width: 0;
|
||
}
|
||
.list-group + .panel-footer {
|
||
border-top-width: 0;
|
||
}
|
||
.panel > .table,
|
||
.panel > .table-responsive > .table,
|
||
.panel > .panel-collapse > .table {
|
||
margin-bottom: 0;
|
||
}
|
||
.panel > .table caption,
|
||
.panel > .table-responsive > .table caption,
|
||
.panel > .panel-collapse > .table caption {
|
||
padding-left: 15px;
|
||
padding-right: 15px;
|
||
}
|
||
.panel > .table:first-child,
|
||
.panel > .table-responsive:first-child > .table:first-child {
|
||
border-top-right-radius: 1px;
|
||
border-top-left-radius: 1px;
|
||
}
|
||
.panel > .table:first-child > thead:first-child > tr:first-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
|
||
.panel > .table:first-child > tbody:first-child > tr:first-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
|
||
border-top-left-radius: 1px;
|
||
border-top-right-radius: 1px;
|
||
}
|
||
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
|
||
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
|
||
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
|
||
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
|
||
border-top-left-radius: 1px;
|
||
}
|
||
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
|
||
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
|
||
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
|
||
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
|
||
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
|
||
border-top-right-radius: 1px;
|
||
}
|
||
.panel > .table:last-child,
|
||
.panel > .table-responsive:last-child > .table:last-child {
|
||
border-bottom-right-radius: 1px;
|
||
border-bottom-left-radius: 1px;
|
||
}
|
||
.panel > .table:last-child > tbody:last-child > tr:last-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
|
||
.panel > .table:last-child > tfoot:last-child > tr:last-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
|
||
border-bottom-left-radius: 1px;
|
||
border-bottom-right-radius: 1px;
|
||
}
|
||
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
|
||
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
|
||
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
|
||
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
|
||
border-bottom-left-radius: 1px;
|
||
}
|
||
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
|
||
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
|
||
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
|
||
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
|
||
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
|
||
border-bottom-right-radius: 1px;
|
||
}
|
||
.panel > .panel-body + .table,
|
||
.panel > .panel-body + .table-responsive,
|
||
.panel > .table + .panel-body,
|
||
.panel > .table-responsive + .panel-body {
|
||
border-top: 1px solid #ddd;
|
||
}
|
||
.panel > .table > tbody:first-child > tr:first-child th,
|
||
.panel > .table > tbody:first-child > tr:first-child td {
|
||
border-top: 0;
|
||
}
|
||
.panel > .table-bordered,
|
||
.panel > .table-responsive > .table-bordered {
|
||
border: 0;
|
||
}
|
||
.panel > .table-bordered > thead > tr > th:first-child,
|
||
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
|
||
.panel > .table-bordered > tbody > tr > th:first-child,
|
||
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
|
||
.panel > .table-bordered > tfoot > tr > th:first-child,
|
||
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
|
||
.panel > .table-bordered > thead > tr > td:first-child,
|
||
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
|
||
.panel > .table-bordered > tbody > tr > td:first-child,
|
||
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
|
||
.panel > .table-bordered > tfoot > tr > td:first-child,
|
||
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
|
||
border-left: 0;
|
||
}
|
||
.panel > .table-bordered > thead > tr > th:last-child,
|
||
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
|
||
.panel > .table-bordered > tbody > tr > th:last-child,
|
||
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
|
||
.panel > .table-bordered > tfoot > tr > th:last-child,
|
||
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
|
||
.panel > .table-bordered > thead > tr > td:last-child,
|
||
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
|
||
.panel > .table-bordered > tbody > tr > td:last-child,
|
||
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
|
||
.panel > .table-bordered > tfoot > tr > td:last-child,
|
||
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
|
||
border-right: 0;
|
||
}
|
||
.panel > .table-bordered > thead > tr:first-child > td,
|
||
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
|
||
.panel > .table-bordered > tbody > tr:first-child > td,
|
||
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
|
||
.panel > .table-bordered > thead > tr:first-child > th,
|
||
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
|
||
.panel > .table-bordered > tbody > tr:first-child > th,
|
||
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
|
||
border-bottom: 0;
|
||
}
|
||
.panel > .table-bordered > tbody > tr:last-child > td,
|
||
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
|
||
.panel > .table-bordered > tfoot > tr:last-child > td,
|
||
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
|
||
.panel > .table-bordered > tbody > tr:last-child > th,
|
||
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
|
||
.panel > .table-bordered > tfoot > tr:last-child > th,
|
||
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
|
||
border-bottom: 0;
|
||
}
|
||
.panel > .table-responsive {
|
||
border: 0;
|
||
margin-bottom: 0;
|
||
}
|
||
.panel-group {
|
||
margin-bottom: 18px;
|
||
}
|
||
.panel-group .panel {
|
||
margin-bottom: 0;
|
||
border-radius: 2px;
|
||
}
|
||
.panel-group .panel + .panel {
|
||
margin-top: 5px;
|
||
}
|
||
.panel-group .panel-heading {
|
||
border-bottom: 0;
|
||
}
|
||
.panel-group .panel-heading + .panel-collapse > .panel-body,
|
||
.panel-group .panel-heading + .panel-collapse > .list-group {
|
||
border-top: 1px solid #ddd;
|
||
}
|
||
.panel-group .panel-footer {
|
||
border-top: 0;
|
||
}
|
||
.panel-group .panel-footer + .panel-collapse .panel-body {
|
||
border-bottom: 1px solid #ddd;
|
||
}
|
||
.panel-default {
|
||
border-color: #ddd;
|
||
}
|
||
.panel-default > .panel-heading {
|
||
color: #333333;
|
||
background-color: #f5f5f5;
|
||
border-color: #ddd;
|
||
}
|
||
.panel-default > .panel-heading + .panel-collapse > .panel-body {
|
||
border-top-color: #ddd;
|
||
}
|
||
.panel-default > .panel-heading .badge {
|
||
color: #f5f5f5;
|
||
background-color: #333333;
|
||
}
|
||
.panel-default > .panel-footer + .panel-collapse > .panel-body {
|
||
border-bottom-color: #ddd;
|
||
}
|
||
.panel-primary {
|
||
border-color: #337ab7;
|
||
}
|
||
.panel-primary > .panel-heading {
|
||
color: #fff;
|
||
background-color: #337ab7;
|
||
border-color: #337ab7;
|
||
}
|
||
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
|
||
border-top-color: #337ab7;
|
||
}
|
||
.panel-primary > .panel-heading .badge {
|
||
color: #337ab7;
|
||
background-color: #fff;
|
||
}
|
||
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
|
||
border-bottom-color: #337ab7;
|
||
}
|
||
.panel-success {
|
||
border-color: #d6e9c6;
|
||
}
|
||
.panel-success > .panel-heading {
|
||
color: #3c763d;
|
||
background-color: #dff0d8;
|
||
border-color: #d6e9c6;
|
||
}
|
||
.panel-success > .panel-heading + .panel-collapse > .panel-body {
|
||
border-top-color: #d6e9c6;
|
||
}
|
||
.panel-success > .panel-heading .badge {
|
||
color: #dff0d8;
|
||
background-color: #3c763d;
|
||
}
|
||
.panel-success > .panel-footer + .panel-collapse > .panel-body {
|
||
border-bottom-color: #d6e9c6;
|
||
}
|
||
.panel-info {
|
||
border-color: #bce8f1;
|
||
}
|
||
.panel-info > .panel-heading {
|
||
color: #31708f;
|
||
background-color: #d9edf7;
|
||
border-color: #bce8f1;
|
||
}
|
||
.panel-info > .panel-heading + .panel-collapse > .panel-body {
|
||
border-top-color: #bce8f1;
|
||
}
|
||
.panel-info > .panel-heading .badge {
|
||
color: #d9edf7;
|
||
background-color: #31708f;
|
||
}
|
||
.panel-info > .panel-footer + .panel-collapse > .panel-body {
|
||
border-bottom-color: #bce8f1;
|
||
}
|
||
.panel-warning {
|
||
border-color: #faebcc;
|
||
}
|
||
.panel-warning > .panel-heading {
|
||
color: #8a6d3b;
|
||
background-color: #fcf8e3;
|
||
border-color: #faebcc;
|
||
}
|
||
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
|
||
border-top-color: #faebcc;
|
||
}
|
||
.panel-warning > .panel-heading .badge {
|
||
color: #fcf8e3;
|
||
background-color: #8a6d3b;
|
||
}
|
||
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
|
||
border-bottom-color: #faebcc;
|
||
}
|
||
.panel-danger {
|
||
border-color: #ebccd1;
|
||
}
|
||
.panel-danger > .panel-heading {
|
||
color: #a94442;
|
||
background-color: #f2dede;
|
||
border-color: #ebccd1;
|
||
}
|
||
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
|
||
border-top-color: #ebccd1;
|
||
}
|
||
.panel-danger > .panel-heading .badge {
|
||
color: #f2dede;
|
||
background-color: #a94442;
|
||
}
|
||
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
|
||
border-bottom-color: #ebccd1;
|
||
}
|
||
.embed-responsive {
|
||
position: relative;
|
||
display: block;
|
||
height: 0;
|
||
padding: 0;
|
||
overflow: hidden;
|
||
}
|
||
.embed-responsive .embed-responsive-item,
|
||
.embed-responsive iframe,
|
||
.embed-responsive embed,
|
||
.embed-responsive object,
|
||
.embed-responsive video {
|
||
position: absolute;
|
||
top: 0;
|
||
left: 0;
|
||
bottom: 0;
|
||
height: 100%;
|
||
width: 100%;
|
||
border: 0;
|
||
}
|
||
.embed-responsive-16by9 {
|
||
padding-bottom: 56.25%;
|
||
}
|
||
.embed-responsive-4by3 {
|
||
padding-bottom: 75%;
|
||
}
|
||
.well {
|
||
min-height: 20px;
|
||
padding: 19px;
|
||
margin-bottom: 20px;
|
||
background-color: #f5f5f5;
|
||
border: 1px solid #e3e3e3;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
|
||
}
|
||
.well blockquote {
|
||
border-color: #ddd;
|
||
border-color: rgba(0, 0, 0, 0.15);
|
||
}
|
||
.well-lg {
|
||
padding: 24px;
|
||
border-radius: 3px;
|
||
}
|
||
.well-sm {
|
||
padding: 9px;
|
||
border-radius: 1px;
|
||
}
|
||
.close {
|
||
float: right;
|
||
font-size: 19.5px;
|
||
font-weight: bold;
|
||
line-height: 1;
|
||
color: #000;
|
||
text-shadow: 0 1px 0 #fff;
|
||
opacity: 0.2;
|
||
filter: alpha(opacity=20);
|
||
}
|
||
.close:hover,
|
||
.close:focus {
|
||
color: #000;
|
||
text-decoration: none;
|
||
cursor: pointer;
|
||
opacity: 0.5;
|
||
filter: alpha(opacity=50);
|
||
}
|
||
button.close {
|
||
padding: 0;
|
||
cursor: pointer;
|
||
background: transparent;
|
||
border: 0;
|
||
-webkit-appearance: none;
|
||
}
|
||
.modal-open {
|
||
overflow: hidden;
|
||
}
|
||
.modal {
|
||
display: none;
|
||
overflow: hidden;
|
||
position: fixed;
|
||
top: 0;
|
||
right: 0;
|
||
bottom: 0;
|
||
left: 0;
|
||
z-index: 1050;
|
||
-webkit-overflow-scrolling: touch;
|
||
outline: 0;
|
||
}
|
||
.modal.fade .modal-dialog {
|
||
-webkit-transform: translate(0, -25%);
|
||
-ms-transform: translate(0, -25%);
|
||
-o-transform: translate(0, -25%);
|
||
transform: translate(0, -25%);
|
||
-webkit-transition: -webkit-transform 0.3s ease-out;
|
||
-moz-transition: -moz-transform 0.3s ease-out;
|
||
-o-transition: -o-transform 0.3s ease-out;
|
||
transition: transform 0.3s ease-out;
|
||
}
|
||
.modal.in .modal-dialog {
|
||
-webkit-transform: translate(0, 0);
|
||
-ms-transform: translate(0, 0);
|
||
-o-transform: translate(0, 0);
|
||
transform: translate(0, 0);
|
||
}
|
||
.modal-open .modal {
|
||
overflow-x: hidden;
|
||
overflow-y: auto;
|
||
}
|
||
.modal-dialog {
|
||
position: relative;
|
||
width: auto;
|
||
margin: 10px;
|
||
}
|
||
.modal-content {
|
||
position: relative;
|
||
background-color: #fff;
|
||
border: 1px solid #999;
|
||
border: 1px solid rgba(0, 0, 0, 0.2);
|
||
border-radius: 3px;
|
||
-webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
|
||
box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
|
||
background-clip: padding-box;
|
||
outline: 0;
|
||
}
|
||
.modal-backdrop {
|
||
position: fixed;
|
||
top: 0;
|
||
right: 0;
|
||
bottom: 0;
|
||
left: 0;
|
||
z-index: 1040;
|
||
background-color: #000;
|
||
}
|
||
.modal-backdrop.fade {
|
||
opacity: 0;
|
||
filter: alpha(opacity=0);
|
||
}
|
||
.modal-backdrop.in {
|
||
opacity: 0.5;
|
||
filter: alpha(opacity=50);
|
||
}
|
||
.modal-header {
|
||
padding: 15px;
|
||
border-bottom: 1px solid #e5e5e5;
|
||
}
|
||
.modal-header .close {
|
||
margin-top: -2px;
|
||
}
|
||
.modal-title {
|
||
margin: 0;
|
||
line-height: 1.42857143;
|
||
}
|
||
.modal-body {
|
||
position: relative;
|
||
padding: 15px;
|
||
}
|
||
.modal-footer {
|
||
padding: 15px;
|
||
text-align: right;
|
||
border-top: 1px solid #e5e5e5;
|
||
}
|
||
.modal-footer .btn + .btn {
|
||
margin-left: 5px;
|
||
margin-bottom: 0;
|
||
}
|
||
.modal-footer .btn-group .btn + .btn {
|
||
margin-left: -1px;
|
||
}
|
||
.modal-footer .btn-block + .btn-block {
|
||
margin-left: 0;
|
||
}
|
||
.modal-scrollbar-measure {
|
||
position: absolute;
|
||
top: -9999px;
|
||
width: 50px;
|
||
height: 50px;
|
||
overflow: scroll;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.modal-dialog {
|
||
width: 600px;
|
||
margin: 30px auto;
|
||
}
|
||
.modal-content {
|
||
-webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
|
||
box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
|
||
}
|
||
.modal-sm {
|
||
width: 300px;
|
||
}
|
||
}
|
||
@media (min-width: 992px) {
|
||
.modal-lg {
|
||
width: 900px;
|
||
}
|
||
}
|
||
.tooltip {
|
||
position: absolute;
|
||
z-index: 1070;
|
||
display: block;
|
||
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
|
||
font-style: normal;
|
||
font-weight: normal;
|
||
letter-spacing: normal;
|
||
line-break: auto;
|
||
line-height: 1.42857143;
|
||
text-align: left;
|
||
text-align: start;
|
||
text-decoration: none;
|
||
text-shadow: none;
|
||
text-transform: none;
|
||
white-space: normal;
|
||
word-break: normal;
|
||
word-spacing: normal;
|
||
word-wrap: normal;
|
||
font-size: 12px;
|
||
opacity: 0;
|
||
filter: alpha(opacity=0);
|
||
}
|
||
.tooltip.in {
|
||
opacity: 0.9;
|
||
filter: alpha(opacity=90);
|
||
}
|
||
.tooltip.top {
|
||
margin-top: -3px;
|
||
padding: 5px 0;
|
||
}
|
||
.tooltip.right {
|
||
margin-left: 3px;
|
||
padding: 0 5px;
|
||
}
|
||
.tooltip.bottom {
|
||
margin-top: 3px;
|
||
padding: 5px 0;
|
||
}
|
||
.tooltip.left {
|
||
margin-left: -3px;
|
||
padding: 0 5px;
|
||
}
|
||
.tooltip-inner {
|
||
max-width: 200px;
|
||
padding: 3px 8px;
|
||
color: #fff;
|
||
text-align: center;
|
||
background-color: #000;
|
||
border-radius: 2px;
|
||
}
|
||
.tooltip-arrow {
|
||
position: absolute;
|
||
width: 0;
|
||
height: 0;
|
||
border-color: transparent;
|
||
border-style: solid;
|
||
}
|
||
.tooltip.top .tooltip-arrow {
|
||
bottom: 0;
|
||
left: 50%;
|
||
margin-left: -5px;
|
||
border-width: 5px 5px 0;
|
||
border-top-color: #000;
|
||
}
|
||
.tooltip.top-left .tooltip-arrow {
|
||
bottom: 0;
|
||
right: 5px;
|
||
margin-bottom: -5px;
|
||
border-width: 5px 5px 0;
|
||
border-top-color: #000;
|
||
}
|
||
.tooltip.top-right .tooltip-arrow {
|
||
bottom: 0;
|
||
left: 5px;
|
||
margin-bottom: -5px;
|
||
border-width: 5px 5px 0;
|
||
border-top-color: #000;
|
||
}
|
||
.tooltip.right .tooltip-arrow {
|
||
top: 50%;
|
||
left: 0;
|
||
margin-top: -5px;
|
||
border-width: 5px 5px 5px 0;
|
||
border-right-color: #000;
|
||
}
|
||
.tooltip.left .tooltip-arrow {
|
||
top: 50%;
|
||
right: 0;
|
||
margin-top: -5px;
|
||
border-width: 5px 0 5px 5px;
|
||
border-left-color: #000;
|
||
}
|
||
.tooltip.bottom .tooltip-arrow {
|
||
top: 0;
|
||
left: 50%;
|
||
margin-left: -5px;
|
||
border-width: 0 5px 5px;
|
||
border-bottom-color: #000;
|
||
}
|
||
.tooltip.bottom-left .tooltip-arrow {
|
||
top: 0;
|
||
right: 5px;
|
||
margin-top: -5px;
|
||
border-width: 0 5px 5px;
|
||
border-bottom-color: #000;
|
||
}
|
||
.tooltip.bottom-right .tooltip-arrow {
|
||
top: 0;
|
||
left: 5px;
|
||
margin-top: -5px;
|
||
border-width: 0 5px 5px;
|
||
border-bottom-color: #000;
|
||
}
|
||
.popover {
|
||
position: absolute;
|
||
top: 0;
|
||
left: 0;
|
||
z-index: 1060;
|
||
display: none;
|
||
max-width: 276px;
|
||
padding: 1px;
|
||
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
|
||
font-style: normal;
|
||
font-weight: normal;
|
||
letter-spacing: normal;
|
||
line-break: auto;
|
||
line-height: 1.42857143;
|
||
text-align: left;
|
||
text-align: start;
|
||
text-decoration: none;
|
||
text-shadow: none;
|
||
text-transform: none;
|
||
white-space: normal;
|
||
word-break: normal;
|
||
word-spacing: normal;
|
||
word-wrap: normal;
|
||
font-size: 13px;
|
||
background-color: #fff;
|
||
background-clip: padding-box;
|
||
border: 1px solid #ccc;
|
||
border: 1px solid rgba(0, 0, 0, 0.2);
|
||
border-radius: 3px;
|
||
-webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
|
||
box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
|
||
}
|
||
.popover.top {
|
||
margin-top: -10px;
|
||
}
|
||
.popover.right {
|
||
margin-left: 10px;
|
||
}
|
||
.popover.bottom {
|
||
margin-top: 10px;
|
||
}
|
||
.popover.left {
|
||
margin-left: -10px;
|
||
}
|
||
.popover-title {
|
||
margin: 0;
|
||
padding: 8px 14px;
|
||
font-size: 13px;
|
||
background-color: #f7f7f7;
|
||
border-bottom: 1px solid #ebebeb;
|
||
border-radius: 2px 2px 0 0;
|
||
}
|
||
.popover-content {
|
||
padding: 9px 14px;
|
||
}
|
||
.popover > .arrow,
|
||
.popover > .arrow:after {
|
||
position: absolute;
|
||
display: block;
|
||
width: 0;
|
||
height: 0;
|
||
border-color: transparent;
|
||
border-style: solid;
|
||
}
|
||
.popover > .arrow {
|
||
border-width: 11px;
|
||
}
|
||
.popover > .arrow:after {
|
||
border-width: 10px;
|
||
content: "";
|
||
}
|
||
.popover.top > .arrow {
|
||
left: 50%;
|
||
margin-left: -11px;
|
||
border-bottom-width: 0;
|
||
border-top-color: #999999;
|
||
border-top-color: rgba(0, 0, 0, 0.25);
|
||
bottom: -11px;
|
||
}
|
||
.popover.top > .arrow:after {
|
||
content: " ";
|
||
bottom: 1px;
|
||
margin-left: -10px;
|
||
border-bottom-width: 0;
|
||
border-top-color: #fff;
|
||
}
|
||
.popover.right > .arrow {
|
||
top: 50%;
|
||
left: -11px;
|
||
margin-top: -11px;
|
||
border-left-width: 0;
|
||
border-right-color: #999999;
|
||
border-right-color: rgba(0, 0, 0, 0.25);
|
||
}
|
||
.popover.right > .arrow:after {
|
||
content: " ";
|
||
left: 1px;
|
||
bottom: -10px;
|
||
border-left-width: 0;
|
||
border-right-color: #fff;
|
||
}
|
||
.popover.bottom > .arrow {
|
||
left: 50%;
|
||
margin-left: -11px;
|
||
border-top-width: 0;
|
||
border-bottom-color: #999999;
|
||
border-bottom-color: rgba(0, 0, 0, 0.25);
|
||
top: -11px;
|
||
}
|
||
.popover.bottom > .arrow:after {
|
||
content: " ";
|
||
top: 1px;
|
||
margin-left: -10px;
|
||
border-top-width: 0;
|
||
border-bottom-color: #fff;
|
||
}
|
||
.popover.left > .arrow {
|
||
top: 50%;
|
||
right: -11px;
|
||
margin-top: -11px;
|
||
border-right-width: 0;
|
||
border-left-color: #999999;
|
||
border-left-color: rgba(0, 0, 0, 0.25);
|
||
}
|
||
.popover.left > .arrow:after {
|
||
content: " ";
|
||
right: 1px;
|
||
border-right-width: 0;
|
||
border-left-color: #fff;
|
||
bottom: -10px;
|
||
}
|
||
.carousel {
|
||
position: relative;
|
||
}
|
||
.carousel-inner {
|
||
position: relative;
|
||
overflow: hidden;
|
||
width: 100%;
|
||
}
|
||
.carousel-inner > .item {
|
||
display: none;
|
||
position: relative;
|
||
-webkit-transition: 0.6s ease-in-out left;
|
||
-o-transition: 0.6s ease-in-out left;
|
||
transition: 0.6s ease-in-out left;
|
||
}
|
||
.carousel-inner > .item > img,
|
||
.carousel-inner > .item > a > img {
|
||
line-height: 1;
|
||
}
|
||
@media all and (transform-3d), (-webkit-transform-3d) {
|
||
.carousel-inner > .item {
|
||
-webkit-transition: -webkit-transform 0.6s ease-in-out;
|
||
-moz-transition: -moz-transform 0.6s ease-in-out;
|
||
-o-transition: -o-transform 0.6s ease-in-out;
|
||
transition: transform 0.6s ease-in-out;
|
||
-webkit-backface-visibility: hidden;
|
||
-moz-backface-visibility: hidden;
|
||
backface-visibility: hidden;
|
||
-webkit-perspective: 1000px;
|
||
-moz-perspective: 1000px;
|
||
perspective: 1000px;
|
||
}
|
||
.carousel-inner > .item.next,
|
||
.carousel-inner > .item.active.right {
|
||
-webkit-transform: translate3d(100%, 0, 0);
|
||
transform: translate3d(100%, 0, 0);
|
||
left: 0;
|
||
}
|
||
.carousel-inner > .item.prev,
|
||
.carousel-inner > .item.active.left {
|
||
-webkit-transform: translate3d(-100%, 0, 0);
|
||
transform: translate3d(-100%, 0, 0);
|
||
left: 0;
|
||
}
|
||
.carousel-inner > .item.next.left,
|
||
.carousel-inner > .item.prev.right,
|
||
.carousel-inner > .item.active {
|
||
-webkit-transform: translate3d(0, 0, 0);
|
||
transform: translate3d(0, 0, 0);
|
||
left: 0;
|
||
}
|
||
}
|
||
.carousel-inner > .active,
|
||
.carousel-inner > .next,
|
||
.carousel-inner > .prev {
|
||
display: block;
|
||
}
|
||
.carousel-inner > .active {
|
||
left: 0;
|
||
}
|
||
.carousel-inner > .next,
|
||
.carousel-inner > .prev {
|
||
position: absolute;
|
||
top: 0;
|
||
width: 100%;
|
||
}
|
||
.carousel-inner > .next {
|
||
left: 100%;
|
||
}
|
||
.carousel-inner > .prev {
|
||
left: -100%;
|
||
}
|
||
.carousel-inner > .next.left,
|
||
.carousel-inner > .prev.right {
|
||
left: 0;
|
||
}
|
||
.carousel-inner > .active.left {
|
||
left: -100%;
|
||
}
|
||
.carousel-inner > .active.right {
|
||
left: 100%;
|
||
}
|
||
.carousel-control {
|
||
position: absolute;
|
||
top: 0;
|
||
left: 0;
|
||
bottom: 0;
|
||
width: 15%;
|
||
opacity: 0.5;
|
||
filter: alpha(opacity=50);
|
||
font-size: 20px;
|
||
color: #fff;
|
||
text-align: center;
|
||
text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
|
||
background-color: rgba(0, 0, 0, 0);
|
||
}
|
||
.carousel-control.left {
|
||
background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
|
||
background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
|
||
background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
|
||
background-repeat: repeat-x;
|
||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
|
||
}
|
||
.carousel-control.right {
|
||
left: auto;
|
||
right: 0;
|
||
background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
|
||
background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
|
||
background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
|
||
background-repeat: repeat-x;
|
||
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
|
||
}
|
||
.carousel-control:hover,
|
||
.carousel-control:focus {
|
||
outline: 0;
|
||
color: #fff;
|
||
text-decoration: none;
|
||
opacity: 0.9;
|
||
filter: alpha(opacity=90);
|
||
}
|
||
.carousel-control .icon-prev,
|
||
.carousel-control .icon-next,
|
||
.carousel-control .glyphicon-chevron-left,
|
||
.carousel-control .glyphicon-chevron-right {
|
||
position: absolute;
|
||
top: 50%;
|
||
margin-top: -10px;
|
||
z-index: 5;
|
||
display: inline-block;
|
||
}
|
||
.carousel-control .icon-prev,
|
||
.carousel-control .glyphicon-chevron-left {
|
||
left: 50%;
|
||
margin-left: -10px;
|
||
}
|
||
.carousel-control .icon-next,
|
||
.carousel-control .glyphicon-chevron-right {
|
||
right: 50%;
|
||
margin-right: -10px;
|
||
}
|
||
.carousel-control .icon-prev,
|
||
.carousel-control .icon-next {
|
||
width: 20px;
|
||
height: 20px;
|
||
line-height: 1;
|
||
font-family: serif;
|
||
}
|
||
.carousel-control .icon-prev:before {
|
||
content: '\2039';
|
||
}
|
||
.carousel-control .icon-next:before {
|
||
content: '\203a';
|
||
}
|
||
.carousel-indicators {
|
||
position: absolute;
|
||
bottom: 10px;
|
||
left: 50%;
|
||
z-index: 15;
|
||
width: 60%;
|
||
margin-left: -30%;
|
||
padding-left: 0;
|
||
list-style: none;
|
||
text-align: center;
|
||
}
|
||
.carousel-indicators li {
|
||
display: inline-block;
|
||
width: 10px;
|
||
height: 10px;
|
||
margin: 1px;
|
||
text-indent: -999px;
|
||
border: 1px solid #fff;
|
||
border-radius: 10px;
|
||
cursor: pointer;
|
||
background-color: #000 \9;
|
||
background-color: rgba(0, 0, 0, 0);
|
||
}
|
||
.carousel-indicators .active {
|
||
margin: 0;
|
||
width: 12px;
|
||
height: 12px;
|
||
background-color: #fff;
|
||
}
|
||
.carousel-caption {
|
||
position: absolute;
|
||
left: 15%;
|
||
right: 15%;
|
||
bottom: 20px;
|
||
z-index: 10;
|
||
padding-top: 20px;
|
||
padding-bottom: 20px;
|
||
color: #fff;
|
||
text-align: center;
|
||
text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
|
||
}
|
||
.carousel-caption .btn {
|
||
text-shadow: none;
|
||
}
|
||
@media screen and (min-width: 768px) {
|
||
.carousel-control .glyphicon-chevron-left,
|
||
.carousel-control .glyphicon-chevron-right,
|
||
.carousel-control .icon-prev,
|
||
.carousel-control .icon-next {
|
||
width: 30px;
|
||
height: 30px;
|
||
margin-top: -10px;
|
||
font-size: 30px;
|
||
}
|
||
.carousel-control .glyphicon-chevron-left,
|
||
.carousel-control .icon-prev {
|
||
margin-left: -10px;
|
||
}
|
||
.carousel-control .glyphicon-chevron-right,
|
||
.carousel-control .icon-next {
|
||
margin-right: -10px;
|
||
}
|
||
.carousel-caption {
|
||
left: 20%;
|
||
right: 20%;
|
||
padding-bottom: 30px;
|
||
}
|
||
.carousel-indicators {
|
||
bottom: 20px;
|
||
}
|
||
}
|
||
.clearfix:before,
|
||
.clearfix:after,
|
||
.dl-horizontal dd:before,
|
||
.dl-horizontal dd:after,
|
||
.container:before,
|
||
.container:after,
|
||
.container-fluid:before,
|
||
.container-fluid:after,
|
||
.row:before,
|
||
.row:after,
|
||
.form-horizontal .form-group:before,
|
||
.form-horizontal .form-group:after,
|
||
.btn-toolbar:before,
|
||
.btn-toolbar:after,
|
||
.btn-group-vertical > .btn-group:before,
|
||
.btn-group-vertical > .btn-group:after,
|
||
.nav:before,
|
||
.nav:after,
|
||
.navbar:before,
|
||
.navbar:after,
|
||
.navbar-header:before,
|
||
.navbar-header:after,
|
||
.navbar-collapse:before,
|
||
.navbar-collapse:after,
|
||
.pager:before,
|
||
.pager:after,
|
||
.panel-body:before,
|
||
.panel-body:after,
|
||
.modal-header:before,
|
||
.modal-header:after,
|
||
.modal-footer:before,
|
||
.modal-footer:after,
|
||
.item_buttons:before,
|
||
.item_buttons:after {
|
||
content: " ";
|
||
display: table;
|
||
}
|
||
.clearfix:after,
|
||
.dl-horizontal dd:after,
|
||
.container:after,
|
||
.container-fluid:after,
|
||
.row:after,
|
||
.form-horizontal .form-group:after,
|
||
.btn-toolbar:after,
|
||
.btn-group-vertical > .btn-group:after,
|
||
.nav:after,
|
||
.navbar:after,
|
||
.navbar-header:after,
|
||
.navbar-collapse:after,
|
||
.pager:after,
|
||
.panel-body:after,
|
||
.modal-header:after,
|
||
.modal-footer:after,
|
||
.item_buttons:after {
|
||
clear: both;
|
||
}
|
||
.center-block {
|
||
display: block;
|
||
margin-left: auto;
|
||
margin-right: auto;
|
||
}
|
||
.pull-right {
|
||
float: right !important;
|
||
}
|
||
.pull-left {
|
||
float: left !important;
|
||
}
|
||
.hide {
|
||
display: none !important;
|
||
}
|
||
.show {
|
||
display: block !important;
|
||
}
|
||
.invisible {
|
||
visibility: hidden;
|
||
}
|
||
.text-hide {
|
||
font: 0/0 a;
|
||
color: transparent;
|
||
text-shadow: none;
|
||
background-color: transparent;
|
||
border: 0;
|
||
}
|
||
.hidden {
|
||
display: none !important;
|
||
}
|
||
.affix {
|
||
position: fixed;
|
||
}
|
||
@-ms-viewport {
|
||
width: device-width;
|
||
}
|
||
.visible-xs,
|
||
.visible-sm,
|
||
.visible-md,
|
||
.visible-lg {
|
||
display: none !important;
|
||
}
|
||
.visible-xs-block,
|
||
.visible-xs-inline,
|
||
.visible-xs-inline-block,
|
||
.visible-sm-block,
|
||
.visible-sm-inline,
|
||
.visible-sm-inline-block,
|
||
.visible-md-block,
|
||
.visible-md-inline,
|
||
.visible-md-inline-block,
|
||
.visible-lg-block,
|
||
.visible-lg-inline,
|
||
.visible-lg-inline-block {
|
||
display: none !important;
|
||
}
|
||
@media (max-width: 767px) {
|
||
.visible-xs {
|
||
display: block !important;
|
||
}
|
||
table.visible-xs {
|
||
display: table !important;
|
||
}
|
||
tr.visible-xs {
|
||
display: table-row !important;
|
||
}
|
||
th.visible-xs,
|
||
td.visible-xs {
|
||
display: table-cell !important;
|
||
}
|
||
}
|
||
@media (max-width: 767px) {
|
||
.visible-xs-block {
|
||
display: block !important;
|
||
}
|
||
}
|
||
@media (max-width: 767px) {
|
||
.visible-xs-inline {
|
||
display: inline !important;
|
||
}
|
||
}
|
||
@media (max-width: 767px) {
|
||
.visible-xs-inline-block {
|
||
display: inline-block !important;
|
||
}
|
||
}
|
||
@media (min-width: 768px) and (max-width: 991px) {
|
||
.visible-sm {
|
||
display: block !important;
|
||
}
|
||
table.visible-sm {
|
||
display: table !important;
|
||
}
|
||
tr.visible-sm {
|
||
display: table-row !important;
|
||
}
|
||
th.visible-sm,
|
||
td.visible-sm {
|
||
display: table-cell !important;
|
||
}
|
||
}
|
||
@media (min-width: 768px) and (max-width: 991px) {
|
||
.visible-sm-block {
|
||
display: block !important;
|
||
}
|
||
}
|
||
@media (min-width: 768px) and (max-width: 991px) {
|
||
.visible-sm-inline {
|
||
display: inline !important;
|
||
}
|
||
}
|
||
@media (min-width: 768px) and (max-width: 991px) {
|
||
.visible-sm-inline-block {
|
||
display: inline-block !important;
|
||
}
|
||
}
|
||
@media (min-width: 992px) and (max-width: 1199px) {
|
||
.visible-md {
|
||
display: block !important;
|
||
}
|
||
table.visible-md {
|
||
display: table !important;
|
||
}
|
||
tr.visible-md {
|
||
display: table-row !important;
|
||
}
|
||
th.visible-md,
|
||
td.visible-md {
|
||
display: table-cell !important;
|
||
}
|
||
}
|
||
@media (min-width: 992px) and (max-width: 1199px) {
|
||
.visible-md-block {
|
||
display: block !important;
|
||
}
|
||
}
|
||
@media (min-width: 992px) and (max-width: 1199px) {
|
||
.visible-md-inline {
|
||
display: inline !important;
|
||
}
|
||
}
|
||
@media (min-width: 992px) and (max-width: 1199px) {
|
||
.visible-md-inline-block {
|
||
display: inline-block !important;
|
||
}
|
||
}
|
||
@media (min-width: 1200px) {
|
||
.visible-lg {
|
||
display: block !important;
|
||
}
|
||
table.visible-lg {
|
||
display: table !important;
|
||
}
|
||
tr.visible-lg {
|
||
display: table-row !important;
|
||
}
|
||
th.visible-lg,
|
||
td.visible-lg {
|
||
display: table-cell !important;
|
||
}
|
||
}
|
||
@media (min-width: 1200px) {
|
||
.visible-lg-block {
|
||
display: block !important;
|
||
}
|
||
}
|
||
@media (min-width: 1200px) {
|
||
.visible-lg-inline {
|
||
display: inline !important;
|
||
}
|
||
}
|
||
@media (min-width: 1200px) {
|
||
.visible-lg-inline-block {
|
||
display: inline-block !important;
|
||
}
|
||
}
|
||
@media (max-width: 767px) {
|
||
.hidden-xs {
|
||
display: none !important;
|
||
}
|
||
}
|
||
@media (min-width: 768px) and (max-width: 991px) {
|
||
.hidden-sm {
|
||
display: none !important;
|
||
}
|
||
}
|
||
@media (min-width: 992px) and (max-width: 1199px) {
|
||
.hidden-md {
|
||
display: none !important;
|
||
}
|
||
}
|
||
@media (min-width: 1200px) {
|
||
.hidden-lg {
|
||
display: none !important;
|
||
}
|
||
}
|
||
.visible-print {
|
||
display: none !important;
|
||
}
|
||
@media print {
|
||
.visible-print {
|
||
display: block !important;
|
||
}
|
||
table.visible-print {
|
||
display: table !important;
|
||
}
|
||
tr.visible-print {
|
||
display: table-row !important;
|
||
}
|
||
th.visible-print,
|
||
td.visible-print {
|
||
display: table-cell !important;
|
||
}
|
||
}
|
||
.visible-print-block {
|
||
display: none !important;
|
||
}
|
||
@media print {
|
||
.visible-print-block {
|
||
display: block !important;
|
||
}
|
||
}
|
||
.visible-print-inline {
|
||
display: none !important;
|
||
}
|
||
@media print {
|
||
.visible-print-inline {
|
||
display: inline !important;
|
||
}
|
||
}
|
||
.visible-print-inline-block {
|
||
display: none !important;
|
||
}
|
||
@media print {
|
||
.visible-print-inline-block {
|
||
display: inline-block !important;
|
||
}
|
||
}
|
||
@media print {
|
||
.hidden-print {
|
||
display: none !important;
|
||
}
|
||
}
|
||
/*!
|
||
*
|
||
* Font Awesome
|
||
*
|
||
*/
|
||
/*!
|
||
* Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome
|
||
* License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
|
||
*/
|
||
/* FONT PATH
|
||
* -------------------------- */
|
||
@font-face {
|
||
font-family: 'FontAwesome';
|
||
src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0');
|
||
src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg');
|
||
font-weight: normal;
|
||
font-style: normal;
|
||
}
|
||
.fa {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
}
|
||
/* makes the font 33% larger relative to the icon container */
|
||
.fa-lg {
|
||
font-size: 1.33333333em;
|
||
line-height: 0.75em;
|
||
vertical-align: -15%;
|
||
}
|
||
.fa-2x {
|
||
font-size: 2em;
|
||
}
|
||
.fa-3x {
|
||
font-size: 3em;
|
||
}
|
||
.fa-4x {
|
||
font-size: 4em;
|
||
}
|
||
.fa-5x {
|
||
font-size: 5em;
|
||
}
|
||
.fa-fw {
|
||
width: 1.28571429em;
|
||
text-align: center;
|
||
}
|
||
.fa-ul {
|
||
padding-left: 0;
|
||
margin-left: 2.14285714em;
|
||
list-style-type: none;
|
||
}
|
||
.fa-ul > li {
|
||
position: relative;
|
||
}
|
||
.fa-li {
|
||
position: absolute;
|
||
left: -2.14285714em;
|
||
width: 2.14285714em;
|
||
top: 0.14285714em;
|
||
text-align: center;
|
||
}
|
||
.fa-li.fa-lg {
|
||
left: -1.85714286em;
|
||
}
|
||
.fa-border {
|
||
padding: .2em .25em .15em;
|
||
border: solid 0.08em #eee;
|
||
border-radius: .1em;
|
||
}
|
||
.fa-pull-left {
|
||
float: left;
|
||
}
|
||
.fa-pull-right {
|
||
float: right;
|
||
}
|
||
.fa.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.fa.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
/* Deprecated as of 4.4.0 */
|
||
.pull-right {
|
||
float: right;
|
||
}
|
||
.pull-left {
|
||
float: left;
|
||
}
|
||
.fa.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.fa.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.fa-spin {
|
||
-webkit-animation: fa-spin 2s infinite linear;
|
||
animation: fa-spin 2s infinite linear;
|
||
}
|
||
.fa-pulse {
|
||
-webkit-animation: fa-spin 1s infinite steps(8);
|
||
animation: fa-spin 1s infinite steps(8);
|
||
}
|
||
@-webkit-keyframes fa-spin {
|
||
0% {
|
||
-webkit-transform: rotate(0deg);
|
||
transform: rotate(0deg);
|
||
}
|
||
100% {
|
||
-webkit-transform: rotate(359deg);
|
||
transform: rotate(359deg);
|
||
}
|
||
}
|
||
@keyframes fa-spin {
|
||
0% {
|
||
-webkit-transform: rotate(0deg);
|
||
transform: rotate(0deg);
|
||
}
|
||
100% {
|
||
-webkit-transform: rotate(359deg);
|
||
transform: rotate(359deg);
|
||
}
|
||
}
|
||
.fa-rotate-90 {
|
||
-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
|
||
-webkit-transform: rotate(90deg);
|
||
-ms-transform: rotate(90deg);
|
||
transform: rotate(90deg);
|
||
}
|
||
.fa-rotate-180 {
|
||
-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
|
||
-webkit-transform: rotate(180deg);
|
||
-ms-transform: rotate(180deg);
|
||
transform: rotate(180deg);
|
||
}
|
||
.fa-rotate-270 {
|
||
-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
|
||
-webkit-transform: rotate(270deg);
|
||
-ms-transform: rotate(270deg);
|
||
transform: rotate(270deg);
|
||
}
|
||
.fa-flip-horizontal {
|
||
-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)";
|
||
-webkit-transform: scale(-1, 1);
|
||
-ms-transform: scale(-1, 1);
|
||
transform: scale(-1, 1);
|
||
}
|
||
.fa-flip-vertical {
|
||
-ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)";
|
||
-webkit-transform: scale(1, -1);
|
||
-ms-transform: scale(1, -1);
|
||
transform: scale(1, -1);
|
||
}
|
||
:root .fa-rotate-90,
|
||
:root .fa-rotate-180,
|
||
:root .fa-rotate-270,
|
||
:root .fa-flip-horizontal,
|
||
:root .fa-flip-vertical {
|
||
filter: none;
|
||
}
|
||
.fa-stack {
|
||
position: relative;
|
||
display: inline-block;
|
||
width: 2em;
|
||
height: 2em;
|
||
line-height: 2em;
|
||
vertical-align: middle;
|
||
}
|
||
.fa-stack-1x,
|
||
.fa-stack-2x {
|
||
position: absolute;
|
||
left: 0;
|
||
width: 100%;
|
||
text-align: center;
|
||
}
|
||
.fa-stack-1x {
|
||
line-height: inherit;
|
||
}
|
||
.fa-stack-2x {
|
||
font-size: 2em;
|
||
}
|
||
.fa-inverse {
|
||
color: #fff;
|
||
}
|
||
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
|
||
readers do not read off random characters that represent icons */
|
||
.fa-glass:before {
|
||
content: "\f000";
|
||
}
|
||
.fa-music:before {
|
||
content: "\f001";
|
||
}
|
||
.fa-search:before {
|
||
content: "\f002";
|
||
}
|
||
.fa-envelope-o:before {
|
||
content: "\f003";
|
||
}
|
||
.fa-heart:before {
|
||
content: "\f004";
|
||
}
|
||
.fa-star:before {
|
||
content: "\f005";
|
||
}
|
||
.fa-star-o:before {
|
||
content: "\f006";
|
||
}
|
||
.fa-user:before {
|
||
content: "\f007";
|
||
}
|
||
.fa-film:before {
|
||
content: "\f008";
|
||
}
|
||
.fa-th-large:before {
|
||
content: "\f009";
|
||
}
|
||
.fa-th:before {
|
||
content: "\f00a";
|
||
}
|
||
.fa-th-list:before {
|
||
content: "\f00b";
|
||
}
|
||
.fa-check:before {
|
||
content: "\f00c";
|
||
}
|
||
.fa-remove:before,
|
||
.fa-close:before,
|
||
.fa-times:before {
|
||
content: "\f00d";
|
||
}
|
||
.fa-search-plus:before {
|
||
content: "\f00e";
|
||
}
|
||
.fa-search-minus:before {
|
||
content: "\f010";
|
||
}
|
||
.fa-power-off:before {
|
||
content: "\f011";
|
||
}
|
||
.fa-signal:before {
|
||
content: "\f012";
|
||
}
|
||
.fa-gear:before,
|
||
.fa-cog:before {
|
||
content: "\f013";
|
||
}
|
||
.fa-trash-o:before {
|
||
content: "\f014";
|
||
}
|
||
.fa-home:before {
|
||
content: "\f015";
|
||
}
|
||
.fa-file-o:before {
|
||
content: "\f016";
|
||
}
|
||
.fa-clock-o:before {
|
||
content: "\f017";
|
||
}
|
||
.fa-road:before {
|
||
content: "\f018";
|
||
}
|
||
.fa-download:before {
|
||
content: "\f019";
|
||
}
|
||
.fa-arrow-circle-o-down:before {
|
||
content: "\f01a";
|
||
}
|
||
.fa-arrow-circle-o-up:before {
|
||
content: "\f01b";
|
||
}
|
||
.fa-inbox:before {
|
||
content: "\f01c";
|
||
}
|
||
.fa-play-circle-o:before {
|
||
content: "\f01d";
|
||
}
|
||
.fa-rotate-right:before,
|
||
.fa-repeat:before {
|
||
content: "\f01e";
|
||
}
|
||
.fa-refresh:before {
|
||
content: "\f021";
|
||
}
|
||
.fa-list-alt:before {
|
||
content: "\f022";
|
||
}
|
||
.fa-lock:before {
|
||
content: "\f023";
|
||
}
|
||
.fa-flag:before {
|
||
content: "\f024";
|
||
}
|
||
.fa-headphones:before {
|
||
content: "\f025";
|
||
}
|
||
.fa-volume-off:before {
|
||
content: "\f026";
|
||
}
|
||
.fa-volume-down:before {
|
||
content: "\f027";
|
||
}
|
||
.fa-volume-up:before {
|
||
content: "\f028";
|
||
}
|
||
.fa-qrcode:before {
|
||
content: "\f029";
|
||
}
|
||
.fa-barcode:before {
|
||
content: "\f02a";
|
||
}
|
||
.fa-tag:before {
|
||
content: "\f02b";
|
||
}
|
||
.fa-tags:before {
|
||
content: "\f02c";
|
||
}
|
||
.fa-book:before {
|
||
content: "\f02d";
|
||
}
|
||
.fa-bookmark:before {
|
||
content: "\f02e";
|
||
}
|
||
.fa-print:before {
|
||
content: "\f02f";
|
||
}
|
||
.fa-camera:before {
|
||
content: "\f030";
|
||
}
|
||
.fa-font:before {
|
||
content: "\f031";
|
||
}
|
||
.fa-bold:before {
|
||
content: "\f032";
|
||
}
|
||
.fa-italic:before {
|
||
content: "\f033";
|
||
}
|
||
.fa-text-height:before {
|
||
content: "\f034";
|
||
}
|
||
.fa-text-width:before {
|
||
content: "\f035";
|
||
}
|
||
.fa-align-left:before {
|
||
content: "\f036";
|
||
}
|
||
.fa-align-center:before {
|
||
content: "\f037";
|
||
}
|
||
.fa-align-right:before {
|
||
content: "\f038";
|
||
}
|
||
.fa-align-justify:before {
|
||
content: "\f039";
|
||
}
|
||
.fa-list:before {
|
||
content: "\f03a";
|
||
}
|
||
.fa-dedent:before,
|
||
.fa-outdent:before {
|
||
content: "\f03b";
|
||
}
|
||
.fa-indent:before {
|
||
content: "\f03c";
|
||
}
|
||
.fa-video-camera:before {
|
||
content: "\f03d";
|
||
}
|
||
.fa-photo:before,
|
||
.fa-image:before,
|
||
.fa-picture-o:before {
|
||
content: "\f03e";
|
||
}
|
||
.fa-pencil:before {
|
||
content: "\f040";
|
||
}
|
||
.fa-map-marker:before {
|
||
content: "\f041";
|
||
}
|
||
.fa-adjust:before {
|
||
content: "\f042";
|
||
}
|
||
.fa-tint:before {
|
||
content: "\f043";
|
||
}
|
||
.fa-edit:before,
|
||
.fa-pencil-square-o:before {
|
||
content: "\f044";
|
||
}
|
||
.fa-share-square-o:before {
|
||
content: "\f045";
|
||
}
|
||
.fa-check-square-o:before {
|
||
content: "\f046";
|
||
}
|
||
.fa-arrows:before {
|
||
content: "\f047";
|
||
}
|
||
.fa-step-backward:before {
|
||
content: "\f048";
|
||
}
|
||
.fa-fast-backward:before {
|
||
content: "\f049";
|
||
}
|
||
.fa-backward:before {
|
||
content: "\f04a";
|
||
}
|
||
.fa-play:before {
|
||
content: "\f04b";
|
||
}
|
||
.fa-pause:before {
|
||
content: "\f04c";
|
||
}
|
||
.fa-stop:before {
|
||
content: "\f04d";
|
||
}
|
||
.fa-forward:before {
|
||
content: "\f04e";
|
||
}
|
||
.fa-fast-forward:before {
|
||
content: "\f050";
|
||
}
|
||
.fa-step-forward:before {
|
||
content: "\f051";
|
||
}
|
||
.fa-eject:before {
|
||
content: "\f052";
|
||
}
|
||
.fa-chevron-left:before {
|
||
content: "\f053";
|
||
}
|
||
.fa-chevron-right:before {
|
||
content: "\f054";
|
||
}
|
||
.fa-plus-circle:before {
|
||
content: "\f055";
|
||
}
|
||
.fa-minus-circle:before {
|
||
content: "\f056";
|
||
}
|
||
.fa-times-circle:before {
|
||
content: "\f057";
|
||
}
|
||
.fa-check-circle:before {
|
||
content: "\f058";
|
||
}
|
||
.fa-question-circle:before {
|
||
content: "\f059";
|
||
}
|
||
.fa-info-circle:before {
|
||
content: "\f05a";
|
||
}
|
||
.fa-crosshairs:before {
|
||
content: "\f05b";
|
||
}
|
||
.fa-times-circle-o:before {
|
||
content: "\f05c";
|
||
}
|
||
.fa-check-circle-o:before {
|
||
content: "\f05d";
|
||
}
|
||
.fa-ban:before {
|
||
content: "\f05e";
|
||
}
|
||
.fa-arrow-left:before {
|
||
content: "\f060";
|
||
}
|
||
.fa-arrow-right:before {
|
||
content: "\f061";
|
||
}
|
||
.fa-arrow-up:before {
|
||
content: "\f062";
|
||
}
|
||
.fa-arrow-down:before {
|
||
content: "\f063";
|
||
}
|
||
.fa-mail-forward:before,
|
||
.fa-share:before {
|
||
content: "\f064";
|
||
}
|
||
.fa-expand:before {
|
||
content: "\f065";
|
||
}
|
||
.fa-compress:before {
|
||
content: "\f066";
|
||
}
|
||
.fa-plus:before {
|
||
content: "\f067";
|
||
}
|
||
.fa-minus:before {
|
||
content: "\f068";
|
||
}
|
||
.fa-asterisk:before {
|
||
content: "\f069";
|
||
}
|
||
.fa-exclamation-circle:before {
|
||
content: "\f06a";
|
||
}
|
||
.fa-gift:before {
|
||
content: "\f06b";
|
||
}
|
||
.fa-leaf:before {
|
||
content: "\f06c";
|
||
}
|
||
.fa-fire:before {
|
||
content: "\f06d";
|
||
}
|
||
.fa-eye:before {
|
||
content: "\f06e";
|
||
}
|
||
.fa-eye-slash:before {
|
||
content: "\f070";
|
||
}
|
||
.fa-warning:before,
|
||
.fa-exclamation-triangle:before {
|
||
content: "\f071";
|
||
}
|
||
.fa-plane:before {
|
||
content: "\f072";
|
||
}
|
||
.fa-calendar:before {
|
||
content: "\f073";
|
||
}
|
||
.fa-random:before {
|
||
content: "\f074";
|
||
}
|
||
.fa-comment:before {
|
||
content: "\f075";
|
||
}
|
||
.fa-magnet:before {
|
||
content: "\f076";
|
||
}
|
||
.fa-chevron-up:before {
|
||
content: "\f077";
|
||
}
|
||
.fa-chevron-down:before {
|
||
content: "\f078";
|
||
}
|
||
.fa-retweet:before {
|
||
content: "\f079";
|
||
}
|
||
.fa-shopping-cart:before {
|
||
content: "\f07a";
|
||
}
|
||
.fa-folder:before {
|
||
content: "\f07b";
|
||
}
|
||
.fa-folder-open:before {
|
||
content: "\f07c";
|
||
}
|
||
.fa-arrows-v:before {
|
||
content: "\f07d";
|
||
}
|
||
.fa-arrows-h:before {
|
||
content: "\f07e";
|
||
}
|
||
.fa-bar-chart-o:before,
|
||
.fa-bar-chart:before {
|
||
content: "\f080";
|
||
}
|
||
.fa-twitter-square:before {
|
||
content: "\f081";
|
||
}
|
||
.fa-facebook-square:before {
|
||
content: "\f082";
|
||
}
|
||
.fa-camera-retro:before {
|
||
content: "\f083";
|
||
}
|
||
.fa-key:before {
|
||
content: "\f084";
|
||
}
|
||
.fa-gears:before,
|
||
.fa-cogs:before {
|
||
content: "\f085";
|
||
}
|
||
.fa-comments:before {
|
||
content: "\f086";
|
||
}
|
||
.fa-thumbs-o-up:before {
|
||
content: "\f087";
|
||
}
|
||
.fa-thumbs-o-down:before {
|
||
content: "\f088";
|
||
}
|
||
.fa-star-half:before {
|
||
content: "\f089";
|
||
}
|
||
.fa-heart-o:before {
|
||
content: "\f08a";
|
||
}
|
||
.fa-sign-out:before {
|
||
content: "\f08b";
|
||
}
|
||
.fa-linkedin-square:before {
|
||
content: "\f08c";
|
||
}
|
||
.fa-thumb-tack:before {
|
||
content: "\f08d";
|
||
}
|
||
.fa-external-link:before {
|
||
content: "\f08e";
|
||
}
|
||
.fa-sign-in:before {
|
||
content: "\f090";
|
||
}
|
||
.fa-trophy:before {
|
||
content: "\f091";
|
||
}
|
||
.fa-github-square:before {
|
||
content: "\f092";
|
||
}
|
||
.fa-upload:before {
|
||
content: "\f093";
|
||
}
|
||
.fa-lemon-o:before {
|
||
content: "\f094";
|
||
}
|
||
.fa-phone:before {
|
||
content: "\f095";
|
||
}
|
||
.fa-square-o:before {
|
||
content: "\f096";
|
||
}
|
||
.fa-bookmark-o:before {
|
||
content: "\f097";
|
||
}
|
||
.fa-phone-square:before {
|
||
content: "\f098";
|
||
}
|
||
.fa-twitter:before {
|
||
content: "\f099";
|
||
}
|
||
.fa-facebook-f:before,
|
||
.fa-facebook:before {
|
||
content: "\f09a";
|
||
}
|
||
.fa-github:before {
|
||
content: "\f09b";
|
||
}
|
||
.fa-unlock:before {
|
||
content: "\f09c";
|
||
}
|
||
.fa-credit-card:before {
|
||
content: "\f09d";
|
||
}
|
||
.fa-feed:before,
|
||
.fa-rss:before {
|
||
content: "\f09e";
|
||
}
|
||
.fa-hdd-o:before {
|
||
content: "\f0a0";
|
||
}
|
||
.fa-bullhorn:before {
|
||
content: "\f0a1";
|
||
}
|
||
.fa-bell:before {
|
||
content: "\f0f3";
|
||
}
|
||
.fa-certificate:before {
|
||
content: "\f0a3";
|
||
}
|
||
.fa-hand-o-right:before {
|
||
content: "\f0a4";
|
||
}
|
||
.fa-hand-o-left:before {
|
||
content: "\f0a5";
|
||
}
|
||
.fa-hand-o-up:before {
|
||
content: "\f0a6";
|
||
}
|
||
.fa-hand-o-down:before {
|
||
content: "\f0a7";
|
||
}
|
||
.fa-arrow-circle-left:before {
|
||
content: "\f0a8";
|
||
}
|
||
.fa-arrow-circle-right:before {
|
||
content: "\f0a9";
|
||
}
|
||
.fa-arrow-circle-up:before {
|
||
content: "\f0aa";
|
||
}
|
||
.fa-arrow-circle-down:before {
|
||
content: "\f0ab";
|
||
}
|
||
.fa-globe:before {
|
||
content: "\f0ac";
|
||
}
|
||
.fa-wrench:before {
|
||
content: "\f0ad";
|
||
}
|
||
.fa-tasks:before {
|
||
content: "\f0ae";
|
||
}
|
||
.fa-filter:before {
|
||
content: "\f0b0";
|
||
}
|
||
.fa-briefcase:before {
|
||
content: "\f0b1";
|
||
}
|
||
.fa-arrows-alt:before {
|
||
content: "\f0b2";
|
||
}
|
||
.fa-group:before,
|
||
.fa-users:before {
|
||
content: "\f0c0";
|
||
}
|
||
.fa-chain:before,
|
||
.fa-link:before {
|
||
content: "\f0c1";
|
||
}
|
||
.fa-cloud:before {
|
||
content: "\f0c2";
|
||
}
|
||
.fa-flask:before {
|
||
content: "\f0c3";
|
||
}
|
||
.fa-cut:before,
|
||
.fa-scissors:before {
|
||
content: "\f0c4";
|
||
}
|
||
.fa-copy:before,
|
||
.fa-files-o:before {
|
||
content: "\f0c5";
|
||
}
|
||
.fa-paperclip:before {
|
||
content: "\f0c6";
|
||
}
|
||
.fa-save:before,
|
||
.fa-floppy-o:before {
|
||
content: "\f0c7";
|
||
}
|
||
.fa-square:before {
|
||
content: "\f0c8";
|
||
}
|
||
.fa-navicon:before,
|
||
.fa-reorder:before,
|
||
.fa-bars:before {
|
||
content: "\f0c9";
|
||
}
|
||
.fa-list-ul:before {
|
||
content: "\f0ca";
|
||
}
|
||
.fa-list-ol:before {
|
||
content: "\f0cb";
|
||
}
|
||
.fa-strikethrough:before {
|
||
content: "\f0cc";
|
||
}
|
||
.fa-underline:before {
|
||
content: "\f0cd";
|
||
}
|
||
.fa-table:before {
|
||
content: "\f0ce";
|
||
}
|
||
.fa-magic:before {
|
||
content: "\f0d0";
|
||
}
|
||
.fa-truck:before {
|
||
content: "\f0d1";
|
||
}
|
||
.fa-pinterest:before {
|
||
content: "\f0d2";
|
||
}
|
||
.fa-pinterest-square:before {
|
||
content: "\f0d3";
|
||
}
|
||
.fa-google-plus-square:before {
|
||
content: "\f0d4";
|
||
}
|
||
.fa-google-plus:before {
|
||
content: "\f0d5";
|
||
}
|
||
.fa-money:before {
|
||
content: "\f0d6";
|
||
}
|
||
.fa-caret-down:before {
|
||
content: "\f0d7";
|
||
}
|
||
.fa-caret-up:before {
|
||
content: "\f0d8";
|
||
}
|
||
.fa-caret-left:before {
|
||
content: "\f0d9";
|
||
}
|
||
.fa-caret-right:before {
|
||
content: "\f0da";
|
||
}
|
||
.fa-columns:before {
|
||
content: "\f0db";
|
||
}
|
||
.fa-unsorted:before,
|
||
.fa-sort:before {
|
||
content: "\f0dc";
|
||
}
|
||
.fa-sort-down:before,
|
||
.fa-sort-desc:before {
|
||
content: "\f0dd";
|
||
}
|
||
.fa-sort-up:before,
|
||
.fa-sort-asc:before {
|
||
content: "\f0de";
|
||
}
|
||
.fa-envelope:before {
|
||
content: "\f0e0";
|
||
}
|
||
.fa-linkedin:before {
|
||
content: "\f0e1";
|
||
}
|
||
.fa-rotate-left:before,
|
||
.fa-undo:before {
|
||
content: "\f0e2";
|
||
}
|
||
.fa-legal:before,
|
||
.fa-gavel:before {
|
||
content: "\f0e3";
|
||
}
|
||
.fa-dashboard:before,
|
||
.fa-tachometer:before {
|
||
content: "\f0e4";
|
||
}
|
||
.fa-comment-o:before {
|
||
content: "\f0e5";
|
||
}
|
||
.fa-comments-o:before {
|
||
content: "\f0e6";
|
||
}
|
||
.fa-flash:before,
|
||
.fa-bolt:before {
|
||
content: "\f0e7";
|
||
}
|
||
.fa-sitemap:before {
|
||
content: "\f0e8";
|
||
}
|
||
.fa-umbrella:before {
|
||
content: "\f0e9";
|
||
}
|
||
.fa-paste:before,
|
||
.fa-clipboard:before {
|
||
content: "\f0ea";
|
||
}
|
||
.fa-lightbulb-o:before {
|
||
content: "\f0eb";
|
||
}
|
||
.fa-exchange:before {
|
||
content: "\f0ec";
|
||
}
|
||
.fa-cloud-download:before {
|
||
content: "\f0ed";
|
||
}
|
||
.fa-cloud-upload:before {
|
||
content: "\f0ee";
|
||
}
|
||
.fa-user-md:before {
|
||
content: "\f0f0";
|
||
}
|
||
.fa-stethoscope:before {
|
||
content: "\f0f1";
|
||
}
|
||
.fa-suitcase:before {
|
||
content: "\f0f2";
|
||
}
|
||
.fa-bell-o:before {
|
||
content: "\f0a2";
|
||
}
|
||
.fa-coffee:before {
|
||
content: "\f0f4";
|
||
}
|
||
.fa-cutlery:before {
|
||
content: "\f0f5";
|
||
}
|
||
.fa-file-text-o:before {
|
||
content: "\f0f6";
|
||
}
|
||
.fa-building-o:before {
|
||
content: "\f0f7";
|
||
}
|
||
.fa-hospital-o:before {
|
||
content: "\f0f8";
|
||
}
|
||
.fa-ambulance:before {
|
||
content: "\f0f9";
|
||
}
|
||
.fa-medkit:before {
|
||
content: "\f0fa";
|
||
}
|
||
.fa-fighter-jet:before {
|
||
content: "\f0fb";
|
||
}
|
||
.fa-beer:before {
|
||
content: "\f0fc";
|
||
}
|
||
.fa-h-square:before {
|
||
content: "\f0fd";
|
||
}
|
||
.fa-plus-square:before {
|
||
content: "\f0fe";
|
||
}
|
||
.fa-angle-double-left:before {
|
||
content: "\f100";
|
||
}
|
||
.fa-angle-double-right:before {
|
||
content: "\f101";
|
||
}
|
||
.fa-angle-double-up:before {
|
||
content: "\f102";
|
||
}
|
||
.fa-angle-double-down:before {
|
||
content: "\f103";
|
||
}
|
||
.fa-angle-left:before {
|
||
content: "\f104";
|
||
}
|
||
.fa-angle-right:before {
|
||
content: "\f105";
|
||
}
|
||
.fa-angle-up:before {
|
||
content: "\f106";
|
||
}
|
||
.fa-angle-down:before {
|
||
content: "\f107";
|
||
}
|
||
.fa-desktop:before {
|
||
content: "\f108";
|
||
}
|
||
.fa-laptop:before {
|
||
content: "\f109";
|
||
}
|
||
.fa-tablet:before {
|
||
content: "\f10a";
|
||
}
|
||
.fa-mobile-phone:before,
|
||
.fa-mobile:before {
|
||
content: "\f10b";
|
||
}
|
||
.fa-circle-o:before {
|
||
content: "\f10c";
|
||
}
|
||
.fa-quote-left:before {
|
||
content: "\f10d";
|
||
}
|
||
.fa-quote-right:before {
|
||
content: "\f10e";
|
||
}
|
||
.fa-spinner:before {
|
||
content: "\f110";
|
||
}
|
||
.fa-circle:before {
|
||
content: "\f111";
|
||
}
|
||
.fa-mail-reply:before,
|
||
.fa-reply:before {
|
||
content: "\f112";
|
||
}
|
||
.fa-github-alt:before {
|
||
content: "\f113";
|
||
}
|
||
.fa-folder-o:before {
|
||
content: "\f114";
|
||
}
|
||
.fa-folder-open-o:before {
|
||
content: "\f115";
|
||
}
|
||
.fa-smile-o:before {
|
||
content: "\f118";
|
||
}
|
||
.fa-frown-o:before {
|
||
content: "\f119";
|
||
}
|
||
.fa-meh-o:before {
|
||
content: "\f11a";
|
||
}
|
||
.fa-gamepad:before {
|
||
content: "\f11b";
|
||
}
|
||
.fa-keyboard-o:before {
|
||
content: "\f11c";
|
||
}
|
||
.fa-flag-o:before {
|
||
content: "\f11d";
|
||
}
|
||
.fa-flag-checkered:before {
|
||
content: "\f11e";
|
||
}
|
||
.fa-terminal:before {
|
||
content: "\f120";
|
||
}
|
||
.fa-code:before {
|
||
content: "\f121";
|
||
}
|
||
.fa-mail-reply-all:before,
|
||
.fa-reply-all:before {
|
||
content: "\f122";
|
||
}
|
||
.fa-star-half-empty:before,
|
||
.fa-star-half-full:before,
|
||
.fa-star-half-o:before {
|
||
content: "\f123";
|
||
}
|
||
.fa-location-arrow:before {
|
||
content: "\f124";
|
||
}
|
||
.fa-crop:before {
|
||
content: "\f125";
|
||
}
|
||
.fa-code-fork:before {
|
||
content: "\f126";
|
||
}
|
||
.fa-unlink:before,
|
||
.fa-chain-broken:before {
|
||
content: "\f127";
|
||
}
|
||
.fa-question:before {
|
||
content: "\f128";
|
||
}
|
||
.fa-info:before {
|
||
content: "\f129";
|
||
}
|
||
.fa-exclamation:before {
|
||
content: "\f12a";
|
||
}
|
||
.fa-superscript:before {
|
||
content: "\f12b";
|
||
}
|
||
.fa-subscript:before {
|
||
content: "\f12c";
|
||
}
|
||
.fa-eraser:before {
|
||
content: "\f12d";
|
||
}
|
||
.fa-puzzle-piece:before {
|
||
content: "\f12e";
|
||
}
|
||
.fa-microphone:before {
|
||
content: "\f130";
|
||
}
|
||
.fa-microphone-slash:before {
|
||
content: "\f131";
|
||
}
|
||
.fa-shield:before {
|
||
content: "\f132";
|
||
}
|
||
.fa-calendar-o:before {
|
||
content: "\f133";
|
||
}
|
||
.fa-fire-extinguisher:before {
|
||
content: "\f134";
|
||
}
|
||
.fa-rocket:before {
|
||
content: "\f135";
|
||
}
|
||
.fa-maxcdn:before {
|
||
content: "\f136";
|
||
}
|
||
.fa-chevron-circle-left:before {
|
||
content: "\f137";
|
||
}
|
||
.fa-chevron-circle-right:before {
|
||
content: "\f138";
|
||
}
|
||
.fa-chevron-circle-up:before {
|
||
content: "\f139";
|
||
}
|
||
.fa-chevron-circle-down:before {
|
||
content: "\f13a";
|
||
}
|
||
.fa-html5:before {
|
||
content: "\f13b";
|
||
}
|
||
.fa-css3:before {
|
||
content: "\f13c";
|
||
}
|
||
.fa-anchor:before {
|
||
content: "\f13d";
|
||
}
|
||
.fa-unlock-alt:before {
|
||
content: "\f13e";
|
||
}
|
||
.fa-bullseye:before {
|
||
content: "\f140";
|
||
}
|
||
.fa-ellipsis-h:before {
|
||
content: "\f141";
|
||
}
|
||
.fa-ellipsis-v:before {
|
||
content: "\f142";
|
||
}
|
||
.fa-rss-square:before {
|
||
content: "\f143";
|
||
}
|
||
.fa-play-circle:before {
|
||
content: "\f144";
|
||
}
|
||
.fa-ticket:before {
|
||
content: "\f145";
|
||
}
|
||
.fa-minus-square:before {
|
||
content: "\f146";
|
||
}
|
||
.fa-minus-square-o:before {
|
||
content: "\f147";
|
||
}
|
||
.fa-level-up:before {
|
||
content: "\f148";
|
||
}
|
||
.fa-level-down:before {
|
||
content: "\f149";
|
||
}
|
||
.fa-check-square:before {
|
||
content: "\f14a";
|
||
}
|
||
.fa-pencil-square:before {
|
||
content: "\f14b";
|
||
}
|
||
.fa-external-link-square:before {
|
||
content: "\f14c";
|
||
}
|
||
.fa-share-square:before {
|
||
content: "\f14d";
|
||
}
|
||
.fa-compass:before {
|
||
content: "\f14e";
|
||
}
|
||
.fa-toggle-down:before,
|
||
.fa-caret-square-o-down:before {
|
||
content: "\f150";
|
||
}
|
||
.fa-toggle-up:before,
|
||
.fa-caret-square-o-up:before {
|
||
content: "\f151";
|
||
}
|
||
.fa-toggle-right:before,
|
||
.fa-caret-square-o-right:before {
|
||
content: "\f152";
|
||
}
|
||
.fa-euro:before,
|
||
.fa-eur:before {
|
||
content: "\f153";
|
||
}
|
||
.fa-gbp:before {
|
||
content: "\f154";
|
||
}
|
||
.fa-dollar:before,
|
||
.fa-usd:before {
|
||
content: "\f155";
|
||
}
|
||
.fa-rupee:before,
|
||
.fa-inr:before {
|
||
content: "\f156";
|
||
}
|
||
.fa-cny:before,
|
||
.fa-rmb:before,
|
||
.fa-yen:before,
|
||
.fa-jpy:before {
|
||
content: "\f157";
|
||
}
|
||
.fa-ruble:before,
|
||
.fa-rouble:before,
|
||
.fa-rub:before {
|
||
content: "\f158";
|
||
}
|
||
.fa-won:before,
|
||
.fa-krw:before {
|
||
content: "\f159";
|
||
}
|
||
.fa-bitcoin:before,
|
||
.fa-btc:before {
|
||
content: "\f15a";
|
||
}
|
||
.fa-file:before {
|
||
content: "\f15b";
|
||
}
|
||
.fa-file-text:before {
|
||
content: "\f15c";
|
||
}
|
||
.fa-sort-alpha-asc:before {
|
||
content: "\f15d";
|
||
}
|
||
.fa-sort-alpha-desc:before {
|
||
content: "\f15e";
|
||
}
|
||
.fa-sort-amount-asc:before {
|
||
content: "\f160";
|
||
}
|
||
.fa-sort-amount-desc:before {
|
||
content: "\f161";
|
||
}
|
||
.fa-sort-numeric-asc:before {
|
||
content: "\f162";
|
||
}
|
||
.fa-sort-numeric-desc:before {
|
||
content: "\f163";
|
||
}
|
||
.fa-thumbs-up:before {
|
||
content: "\f164";
|
||
}
|
||
.fa-thumbs-down:before {
|
||
content: "\f165";
|
||
}
|
||
.fa-youtube-square:before {
|
||
content: "\f166";
|
||
}
|
||
.fa-youtube:before {
|
||
content: "\f167";
|
||
}
|
||
.fa-xing:before {
|
||
content: "\f168";
|
||
}
|
||
.fa-xing-square:before {
|
||
content: "\f169";
|
||
}
|
||
.fa-youtube-play:before {
|
||
content: "\f16a";
|
||
}
|
||
.fa-dropbox:before {
|
||
content: "\f16b";
|
||
}
|
||
.fa-stack-overflow:before {
|
||
content: "\f16c";
|
||
}
|
||
.fa-instagram:before {
|
||
content: "\f16d";
|
||
}
|
||
.fa-flickr:before {
|
||
content: "\f16e";
|
||
}
|
||
.fa-adn:before {
|
||
content: "\f170";
|
||
}
|
||
.fa-bitbucket:before {
|
||
content: "\f171";
|
||
}
|
||
.fa-bitbucket-square:before {
|
||
content: "\f172";
|
||
}
|
||
.fa-tumblr:before {
|
||
content: "\f173";
|
||
}
|
||
.fa-tumblr-square:before {
|
||
content: "\f174";
|
||
}
|
||
.fa-long-arrow-down:before {
|
||
content: "\f175";
|
||
}
|
||
.fa-long-arrow-up:before {
|
||
content: "\f176";
|
||
}
|
||
.fa-long-arrow-left:before {
|
||
content: "\f177";
|
||
}
|
||
.fa-long-arrow-right:before {
|
||
content: "\f178";
|
||
}
|
||
.fa-apple:before {
|
||
content: "\f179";
|
||
}
|
||
.fa-windows:before {
|
||
content: "\f17a";
|
||
}
|
||
.fa-android:before {
|
||
content: "\f17b";
|
||
}
|
||
.fa-linux:before {
|
||
content: "\f17c";
|
||
}
|
||
.fa-dribbble:before {
|
||
content: "\f17d";
|
||
}
|
||
.fa-skype:before {
|
||
content: "\f17e";
|
||
}
|
||
.fa-foursquare:before {
|
||
content: "\f180";
|
||
}
|
||
.fa-trello:before {
|
||
content: "\f181";
|
||
}
|
||
.fa-female:before {
|
||
content: "\f182";
|
||
}
|
||
.fa-male:before {
|
||
content: "\f183";
|
||
}
|
||
.fa-gittip:before,
|
||
.fa-gratipay:before {
|
||
content: "\f184";
|
||
}
|
||
.fa-sun-o:before {
|
||
content: "\f185";
|
||
}
|
||
.fa-moon-o:before {
|
||
content: "\f186";
|
||
}
|
||
.fa-archive:before {
|
||
content: "\f187";
|
||
}
|
||
.fa-bug:before {
|
||
content: "\f188";
|
||
}
|
||
.fa-vk:before {
|
||
content: "\f189";
|
||
}
|
||
.fa-weibo:before {
|
||
content: "\f18a";
|
||
}
|
||
.fa-renren:before {
|
||
content: "\f18b";
|
||
}
|
||
.fa-pagelines:before {
|
||
content: "\f18c";
|
||
}
|
||
.fa-stack-exchange:before {
|
||
content: "\f18d";
|
||
}
|
||
.fa-arrow-circle-o-right:before {
|
||
content: "\f18e";
|
||
}
|
||
.fa-arrow-circle-o-left:before {
|
||
content: "\f190";
|
||
}
|
||
.fa-toggle-left:before,
|
||
.fa-caret-square-o-left:before {
|
||
content: "\f191";
|
||
}
|
||
.fa-dot-circle-o:before {
|
||
content: "\f192";
|
||
}
|
||
.fa-wheelchair:before {
|
||
content: "\f193";
|
||
}
|
||
.fa-vimeo-square:before {
|
||
content: "\f194";
|
||
}
|
||
.fa-turkish-lira:before,
|
||
.fa-try:before {
|
||
content: "\f195";
|
||
}
|
||
.fa-plus-square-o:before {
|
||
content: "\f196";
|
||
}
|
||
.fa-space-shuttle:before {
|
||
content: "\f197";
|
||
}
|
||
.fa-slack:before {
|
||
content: "\f198";
|
||
}
|
||
.fa-envelope-square:before {
|
||
content: "\f199";
|
||
}
|
||
.fa-wordpress:before {
|
||
content: "\f19a";
|
||
}
|
||
.fa-openid:before {
|
||
content: "\f19b";
|
||
}
|
||
.fa-institution:before,
|
||
.fa-bank:before,
|
||
.fa-university:before {
|
||
content: "\f19c";
|
||
}
|
||
.fa-mortar-board:before,
|
||
.fa-graduation-cap:before {
|
||
content: "\f19d";
|
||
}
|
||
.fa-yahoo:before {
|
||
content: "\f19e";
|
||
}
|
||
.fa-google:before {
|
||
content: "\f1a0";
|
||
}
|
||
.fa-reddit:before {
|
||
content: "\f1a1";
|
||
}
|
||
.fa-reddit-square:before {
|
||
content: "\f1a2";
|
||
}
|
||
.fa-stumbleupon-circle:before {
|
||
content: "\f1a3";
|
||
}
|
||
.fa-stumbleupon:before {
|
||
content: "\f1a4";
|
||
}
|
||
.fa-delicious:before {
|
||
content: "\f1a5";
|
||
}
|
||
.fa-digg:before {
|
||
content: "\f1a6";
|
||
}
|
||
.fa-pied-piper-pp:before {
|
||
content: "\f1a7";
|
||
}
|
||
.fa-pied-piper-alt:before {
|
||
content: "\f1a8";
|
||
}
|
||
.fa-drupal:before {
|
||
content: "\f1a9";
|
||
}
|
||
.fa-joomla:before {
|
||
content: "\f1aa";
|
||
}
|
||
.fa-language:before {
|
||
content: "\f1ab";
|
||
}
|
||
.fa-fax:before {
|
||
content: "\f1ac";
|
||
}
|
||
.fa-building:before {
|
||
content: "\f1ad";
|
||
}
|
||
.fa-child:before {
|
||
content: "\f1ae";
|
||
}
|
||
.fa-paw:before {
|
||
content: "\f1b0";
|
||
}
|
||
.fa-spoon:before {
|
||
content: "\f1b1";
|
||
}
|
||
.fa-cube:before {
|
||
content: "\f1b2";
|
||
}
|
||
.fa-cubes:before {
|
||
content: "\f1b3";
|
||
}
|
||
.fa-behance:before {
|
||
content: "\f1b4";
|
||
}
|
||
.fa-behance-square:before {
|
||
content: "\f1b5";
|
||
}
|
||
.fa-steam:before {
|
||
content: "\f1b6";
|
||
}
|
||
.fa-steam-square:before {
|
||
content: "\f1b7";
|
||
}
|
||
.fa-recycle:before {
|
||
content: "\f1b8";
|
||
}
|
||
.fa-automobile:before,
|
||
.fa-car:before {
|
||
content: "\f1b9";
|
||
}
|
||
.fa-cab:before,
|
||
.fa-taxi:before {
|
||
content: "\f1ba";
|
||
}
|
||
.fa-tree:before {
|
||
content: "\f1bb";
|
||
}
|
||
.fa-spotify:before {
|
||
content: "\f1bc";
|
||
}
|
||
.fa-deviantart:before {
|
||
content: "\f1bd";
|
||
}
|
||
.fa-soundcloud:before {
|
||
content: "\f1be";
|
||
}
|
||
.fa-database:before {
|
||
content: "\f1c0";
|
||
}
|
||
.fa-file-pdf-o:before {
|
||
content: "\f1c1";
|
||
}
|
||
.fa-file-word-o:before {
|
||
content: "\f1c2";
|
||
}
|
||
.fa-file-excel-o:before {
|
||
content: "\f1c3";
|
||
}
|
||
.fa-file-powerpoint-o:before {
|
||
content: "\f1c4";
|
||
}
|
||
.fa-file-photo-o:before,
|
||
.fa-file-picture-o:before,
|
||
.fa-file-image-o:before {
|
||
content: "\f1c5";
|
||
}
|
||
.fa-file-zip-o:before,
|
||
.fa-file-archive-o:before {
|
||
content: "\f1c6";
|
||
}
|
||
.fa-file-sound-o:before,
|
||
.fa-file-audio-o:before {
|
||
content: "\f1c7";
|
||
}
|
||
.fa-file-movie-o:before,
|
||
.fa-file-video-o:before {
|
||
content: "\f1c8";
|
||
}
|
||
.fa-file-code-o:before {
|
||
content: "\f1c9";
|
||
}
|
||
.fa-vine:before {
|
||
content: "\f1ca";
|
||
}
|
||
.fa-codepen:before {
|
||
content: "\f1cb";
|
||
}
|
||
.fa-jsfiddle:before {
|
||
content: "\f1cc";
|
||
}
|
||
.fa-life-bouy:before,
|
||
.fa-life-buoy:before,
|
||
.fa-life-saver:before,
|
||
.fa-support:before,
|
||
.fa-life-ring:before {
|
||
content: "\f1cd";
|
||
}
|
||
.fa-circle-o-notch:before {
|
||
content: "\f1ce";
|
||
}
|
||
.fa-ra:before,
|
||
.fa-resistance:before,
|
||
.fa-rebel:before {
|
||
content: "\f1d0";
|
||
}
|
||
.fa-ge:before,
|
||
.fa-empire:before {
|
||
content: "\f1d1";
|
||
}
|
||
.fa-git-square:before {
|
||
content: "\f1d2";
|
||
}
|
||
.fa-git:before {
|
||
content: "\f1d3";
|
||
}
|
||
.fa-y-combinator-square:before,
|
||
.fa-yc-square:before,
|
||
.fa-hacker-news:before {
|
||
content: "\f1d4";
|
||
}
|
||
.fa-tencent-weibo:before {
|
||
content: "\f1d5";
|
||
}
|
||
.fa-qq:before {
|
||
content: "\f1d6";
|
||
}
|
||
.fa-wechat:before,
|
||
.fa-weixin:before {
|
||
content: "\f1d7";
|
||
}
|
||
.fa-send:before,
|
||
.fa-paper-plane:before {
|
||
content: "\f1d8";
|
||
}
|
||
.fa-send-o:before,
|
||
.fa-paper-plane-o:before {
|
||
content: "\f1d9";
|
||
}
|
||
.fa-history:before {
|
||
content: "\f1da";
|
||
}
|
||
.fa-circle-thin:before {
|
||
content: "\f1db";
|
||
}
|
||
.fa-header:before {
|
||
content: "\f1dc";
|
||
}
|
||
.fa-paragraph:before {
|
||
content: "\f1dd";
|
||
}
|
||
.fa-sliders:before {
|
||
content: "\f1de";
|
||
}
|
||
.fa-share-alt:before {
|
||
content: "\f1e0";
|
||
}
|
||
.fa-share-alt-square:before {
|
||
content: "\f1e1";
|
||
}
|
||
.fa-bomb:before {
|
||
content: "\f1e2";
|
||
}
|
||
.fa-soccer-ball-o:before,
|
||
.fa-futbol-o:before {
|
||
content: "\f1e3";
|
||
}
|
||
.fa-tty:before {
|
||
content: "\f1e4";
|
||
}
|
||
.fa-binoculars:before {
|
||
content: "\f1e5";
|
||
}
|
||
.fa-plug:before {
|
||
content: "\f1e6";
|
||
}
|
||
.fa-slideshare:before {
|
||
content: "\f1e7";
|
||
}
|
||
.fa-twitch:before {
|
||
content: "\f1e8";
|
||
}
|
||
.fa-yelp:before {
|
||
content: "\f1e9";
|
||
}
|
||
.fa-newspaper-o:before {
|
||
content: "\f1ea";
|
||
}
|
||
.fa-wifi:before {
|
||
content: "\f1eb";
|
||
}
|
||
.fa-calculator:before {
|
||
content: "\f1ec";
|
||
}
|
||
.fa-paypal:before {
|
||
content: "\f1ed";
|
||
}
|
||
.fa-google-wallet:before {
|
||
content: "\f1ee";
|
||
}
|
||
.fa-cc-visa:before {
|
||
content: "\f1f0";
|
||
}
|
||
.fa-cc-mastercard:before {
|
||
content: "\f1f1";
|
||
}
|
||
.fa-cc-discover:before {
|
||
content: "\f1f2";
|
||
}
|
||
.fa-cc-amex:before {
|
||
content: "\f1f3";
|
||
}
|
||
.fa-cc-paypal:before {
|
||
content: "\f1f4";
|
||
}
|
||
.fa-cc-stripe:before {
|
||
content: "\f1f5";
|
||
}
|
||
.fa-bell-slash:before {
|
||
content: "\f1f6";
|
||
}
|
||
.fa-bell-slash-o:before {
|
||
content: "\f1f7";
|
||
}
|
||
.fa-trash:before {
|
||
content: "\f1f8";
|
||
}
|
||
.fa-copyright:before {
|
||
content: "\f1f9";
|
||
}
|
||
.fa-at:before {
|
||
content: "\f1fa";
|
||
}
|
||
.fa-eyedropper:before {
|
||
content: "\f1fb";
|
||
}
|
||
.fa-paint-brush:before {
|
||
content: "\f1fc";
|
||
}
|
||
.fa-birthday-cake:before {
|
||
content: "\f1fd";
|
||
}
|
||
.fa-area-chart:before {
|
||
content: "\f1fe";
|
||
}
|
||
.fa-pie-chart:before {
|
||
content: "\f200";
|
||
}
|
||
.fa-line-chart:before {
|
||
content: "\f201";
|
||
}
|
||
.fa-lastfm:before {
|
||
content: "\f202";
|
||
}
|
||
.fa-lastfm-square:before {
|
||
content: "\f203";
|
||
}
|
||
.fa-toggle-off:before {
|
||
content: "\f204";
|
||
}
|
||
.fa-toggle-on:before {
|
||
content: "\f205";
|
||
}
|
||
.fa-bicycle:before {
|
||
content: "\f206";
|
||
}
|
||
.fa-bus:before {
|
||
content: "\f207";
|
||
}
|
||
.fa-ioxhost:before {
|
||
content: "\f208";
|
||
}
|
||
.fa-angellist:before {
|
||
content: "\f209";
|
||
}
|
||
.fa-cc:before {
|
||
content: "\f20a";
|
||
}
|
||
.fa-shekel:before,
|
||
.fa-sheqel:before,
|
||
.fa-ils:before {
|
||
content: "\f20b";
|
||
}
|
||
.fa-meanpath:before {
|
||
content: "\f20c";
|
||
}
|
||
.fa-buysellads:before {
|
||
content: "\f20d";
|
||
}
|
||
.fa-connectdevelop:before {
|
||
content: "\f20e";
|
||
}
|
||
.fa-dashcube:before {
|
||
content: "\f210";
|
||
}
|
||
.fa-forumbee:before {
|
||
content: "\f211";
|
||
}
|
||
.fa-leanpub:before {
|
||
content: "\f212";
|
||
}
|
||
.fa-sellsy:before {
|
||
content: "\f213";
|
||
}
|
||
.fa-shirtsinbulk:before {
|
||
content: "\f214";
|
||
}
|
||
.fa-simplybuilt:before {
|
||
content: "\f215";
|
||
}
|
||
.fa-skyatlas:before {
|
||
content: "\f216";
|
||
}
|
||
.fa-cart-plus:before {
|
||
content: "\f217";
|
||
}
|
||
.fa-cart-arrow-down:before {
|
||
content: "\f218";
|
||
}
|
||
.fa-diamond:before {
|
||
content: "\f219";
|
||
}
|
||
.fa-ship:before {
|
||
content: "\f21a";
|
||
}
|
||
.fa-user-secret:before {
|
||
content: "\f21b";
|
||
}
|
||
.fa-motorcycle:before {
|
||
content: "\f21c";
|
||
}
|
||
.fa-street-view:before {
|
||
content: "\f21d";
|
||
}
|
||
.fa-heartbeat:before {
|
||
content: "\f21e";
|
||
}
|
||
.fa-venus:before {
|
||
content: "\f221";
|
||
}
|
||
.fa-mars:before {
|
||
content: "\f222";
|
||
}
|
||
.fa-mercury:before {
|
||
content: "\f223";
|
||
}
|
||
.fa-intersex:before,
|
||
.fa-transgender:before {
|
||
content: "\f224";
|
||
}
|
||
.fa-transgender-alt:before {
|
||
content: "\f225";
|
||
}
|
||
.fa-venus-double:before {
|
||
content: "\f226";
|
||
}
|
||
.fa-mars-double:before {
|
||
content: "\f227";
|
||
}
|
||
.fa-venus-mars:before {
|
||
content: "\f228";
|
||
}
|
||
.fa-mars-stroke:before {
|
||
content: "\f229";
|
||
}
|
||
.fa-mars-stroke-v:before {
|
||
content: "\f22a";
|
||
}
|
||
.fa-mars-stroke-h:before {
|
||
content: "\f22b";
|
||
}
|
||
.fa-neuter:before {
|
||
content: "\f22c";
|
||
}
|
||
.fa-genderless:before {
|
||
content: "\f22d";
|
||
}
|
||
.fa-facebook-official:before {
|
||
content: "\f230";
|
||
}
|
||
.fa-pinterest-p:before {
|
||
content: "\f231";
|
||
}
|
||
.fa-whatsapp:before {
|
||
content: "\f232";
|
||
}
|
||
.fa-server:before {
|
||
content: "\f233";
|
||
}
|
||
.fa-user-plus:before {
|
||
content: "\f234";
|
||
}
|
||
.fa-user-times:before {
|
||
content: "\f235";
|
||
}
|
||
.fa-hotel:before,
|
||
.fa-bed:before {
|
||
content: "\f236";
|
||
}
|
||
.fa-viacoin:before {
|
||
content: "\f237";
|
||
}
|
||
.fa-train:before {
|
||
content: "\f238";
|
||
}
|
||
.fa-subway:before {
|
||
content: "\f239";
|
||
}
|
||
.fa-medium:before {
|
||
content: "\f23a";
|
||
}
|
||
.fa-yc:before,
|
||
.fa-y-combinator:before {
|
||
content: "\f23b";
|
||
}
|
||
.fa-optin-monster:before {
|
||
content: "\f23c";
|
||
}
|
||
.fa-opencart:before {
|
||
content: "\f23d";
|
||
}
|
||
.fa-expeditedssl:before {
|
||
content: "\f23e";
|
||
}
|
||
.fa-battery-4:before,
|
||
.fa-battery:before,
|
||
.fa-battery-full:before {
|
||
content: "\f240";
|
||
}
|
||
.fa-battery-3:before,
|
||
.fa-battery-three-quarters:before {
|
||
content: "\f241";
|
||
}
|
||
.fa-battery-2:before,
|
||
.fa-battery-half:before {
|
||
content: "\f242";
|
||
}
|
||
.fa-battery-1:before,
|
||
.fa-battery-quarter:before {
|
||
content: "\f243";
|
||
}
|
||
.fa-battery-0:before,
|
||
.fa-battery-empty:before {
|
||
content: "\f244";
|
||
}
|
||
.fa-mouse-pointer:before {
|
||
content: "\f245";
|
||
}
|
||
.fa-i-cursor:before {
|
||
content: "\f246";
|
||
}
|
||
.fa-object-group:before {
|
||
content: "\f247";
|
||
}
|
||
.fa-object-ungroup:before {
|
||
content: "\f248";
|
||
}
|
||
.fa-sticky-note:before {
|
||
content: "\f249";
|
||
}
|
||
.fa-sticky-note-o:before {
|
||
content: "\f24a";
|
||
}
|
||
.fa-cc-jcb:before {
|
||
content: "\f24b";
|
||
}
|
||
.fa-cc-diners-club:before {
|
||
content: "\f24c";
|
||
}
|
||
.fa-clone:before {
|
||
content: "\f24d";
|
||
}
|
||
.fa-balance-scale:before {
|
||
content: "\f24e";
|
||
}
|
||
.fa-hourglass-o:before {
|
||
content: "\f250";
|
||
}
|
||
.fa-hourglass-1:before,
|
||
.fa-hourglass-start:before {
|
||
content: "\f251";
|
||
}
|
||
.fa-hourglass-2:before,
|
||
.fa-hourglass-half:before {
|
||
content: "\f252";
|
||
}
|
||
.fa-hourglass-3:before,
|
||
.fa-hourglass-end:before {
|
||
content: "\f253";
|
||
}
|
||
.fa-hourglass:before {
|
||
content: "\f254";
|
||
}
|
||
.fa-hand-grab-o:before,
|
||
.fa-hand-rock-o:before {
|
||
content: "\f255";
|
||
}
|
||
.fa-hand-stop-o:before,
|
||
.fa-hand-paper-o:before {
|
||
content: "\f256";
|
||
}
|
||
.fa-hand-scissors-o:before {
|
||
content: "\f257";
|
||
}
|
||
.fa-hand-lizard-o:before {
|
||
content: "\f258";
|
||
}
|
||
.fa-hand-spock-o:before {
|
||
content: "\f259";
|
||
}
|
||
.fa-hand-pointer-o:before {
|
||
content: "\f25a";
|
||
}
|
||
.fa-hand-peace-o:before {
|
||
content: "\f25b";
|
||
}
|
||
.fa-trademark:before {
|
||
content: "\f25c";
|
||
}
|
||
.fa-registered:before {
|
||
content: "\f25d";
|
||
}
|
||
.fa-creative-commons:before {
|
||
content: "\f25e";
|
||
}
|
||
.fa-gg:before {
|
||
content: "\f260";
|
||
}
|
||
.fa-gg-circle:before {
|
||
content: "\f261";
|
||
}
|
||
.fa-tripadvisor:before {
|
||
content: "\f262";
|
||
}
|
||
.fa-odnoklassniki:before {
|
||
content: "\f263";
|
||
}
|
||
.fa-odnoklassniki-square:before {
|
||
content: "\f264";
|
||
}
|
||
.fa-get-pocket:before {
|
||
content: "\f265";
|
||
}
|
||
.fa-wikipedia-w:before {
|
||
content: "\f266";
|
||
}
|
||
.fa-safari:before {
|
||
content: "\f267";
|
||
}
|
||
.fa-chrome:before {
|
||
content: "\f268";
|
||
}
|
||
.fa-firefox:before {
|
||
content: "\f269";
|
||
}
|
||
.fa-opera:before {
|
||
content: "\f26a";
|
||
}
|
||
.fa-internet-explorer:before {
|
||
content: "\f26b";
|
||
}
|
||
.fa-tv:before,
|
||
.fa-television:before {
|
||
content: "\f26c";
|
||
}
|
||
.fa-contao:before {
|
||
content: "\f26d";
|
||
}
|
||
.fa-500px:before {
|
||
content: "\f26e";
|
||
}
|
||
.fa-amazon:before {
|
||
content: "\f270";
|
||
}
|
||
.fa-calendar-plus-o:before {
|
||
content: "\f271";
|
||
}
|
||
.fa-calendar-minus-o:before {
|
||
content: "\f272";
|
||
}
|
||
.fa-calendar-times-o:before {
|
||
content: "\f273";
|
||
}
|
||
.fa-calendar-check-o:before {
|
||
content: "\f274";
|
||
}
|
||
.fa-industry:before {
|
||
content: "\f275";
|
||
}
|
||
.fa-map-pin:before {
|
||
content: "\f276";
|
||
}
|
||
.fa-map-signs:before {
|
||
content: "\f277";
|
||
}
|
||
.fa-map-o:before {
|
||
content: "\f278";
|
||
}
|
||
.fa-map:before {
|
||
content: "\f279";
|
||
}
|
||
.fa-commenting:before {
|
||
content: "\f27a";
|
||
}
|
||
.fa-commenting-o:before {
|
||
content: "\f27b";
|
||
}
|
||
.fa-houzz:before {
|
||
content: "\f27c";
|
||
}
|
||
.fa-vimeo:before {
|
||
content: "\f27d";
|
||
}
|
||
.fa-black-tie:before {
|
||
content: "\f27e";
|
||
}
|
||
.fa-fonticons:before {
|
||
content: "\f280";
|
||
}
|
||
.fa-reddit-alien:before {
|
||
content: "\f281";
|
||
}
|
||
.fa-edge:before {
|
||
content: "\f282";
|
||
}
|
||
.fa-credit-card-alt:before {
|
||
content: "\f283";
|
||
}
|
||
.fa-codiepie:before {
|
||
content: "\f284";
|
||
}
|
||
.fa-modx:before {
|
||
content: "\f285";
|
||
}
|
||
.fa-fort-awesome:before {
|
||
content: "\f286";
|
||
}
|
||
.fa-usb:before {
|
||
content: "\f287";
|
||
}
|
||
.fa-product-hunt:before {
|
||
content: "\f288";
|
||
}
|
||
.fa-mixcloud:before {
|
||
content: "\f289";
|
||
}
|
||
.fa-scribd:before {
|
||
content: "\f28a";
|
||
}
|
||
.fa-pause-circle:before {
|
||
content: "\f28b";
|
||
}
|
||
.fa-pause-circle-o:before {
|
||
content: "\f28c";
|
||
}
|
||
.fa-stop-circle:before {
|
||
content: "\f28d";
|
||
}
|
||
.fa-stop-circle-o:before {
|
||
content: "\f28e";
|
||
}
|
||
.fa-shopping-bag:before {
|
||
content: "\f290";
|
||
}
|
||
.fa-shopping-basket:before {
|
||
content: "\f291";
|
||
}
|
||
.fa-hashtag:before {
|
||
content: "\f292";
|
||
}
|
||
.fa-bluetooth:before {
|
||
content: "\f293";
|
||
}
|
||
.fa-bluetooth-b:before {
|
||
content: "\f294";
|
||
}
|
||
.fa-percent:before {
|
||
content: "\f295";
|
||
}
|
||
.fa-gitlab:before {
|
||
content: "\f296";
|
||
}
|
||
.fa-wpbeginner:before {
|
||
content: "\f297";
|
||
}
|
||
.fa-wpforms:before {
|
||
content: "\f298";
|
||
}
|
||
.fa-envira:before {
|
||
content: "\f299";
|
||
}
|
||
.fa-universal-access:before {
|
||
content: "\f29a";
|
||
}
|
||
.fa-wheelchair-alt:before {
|
||
content: "\f29b";
|
||
}
|
||
.fa-question-circle-o:before {
|
||
content: "\f29c";
|
||
}
|
||
.fa-blind:before {
|
||
content: "\f29d";
|
||
}
|
||
.fa-audio-description:before {
|
||
content: "\f29e";
|
||
}
|
||
.fa-volume-control-phone:before {
|
||
content: "\f2a0";
|
||
}
|
||
.fa-braille:before {
|
||
content: "\f2a1";
|
||
}
|
||
.fa-assistive-listening-systems:before {
|
||
content: "\f2a2";
|
||
}
|
||
.fa-asl-interpreting:before,
|
||
.fa-american-sign-language-interpreting:before {
|
||
content: "\f2a3";
|
||
}
|
||
.fa-deafness:before,
|
||
.fa-hard-of-hearing:before,
|
||
.fa-deaf:before {
|
||
content: "\f2a4";
|
||
}
|
||
.fa-glide:before {
|
||
content: "\f2a5";
|
||
}
|
||
.fa-glide-g:before {
|
||
content: "\f2a6";
|
||
}
|
||
.fa-signing:before,
|
||
.fa-sign-language:before {
|
||
content: "\f2a7";
|
||
}
|
||
.fa-low-vision:before {
|
||
content: "\f2a8";
|
||
}
|
||
.fa-viadeo:before {
|
||
content: "\f2a9";
|
||
}
|
||
.fa-viadeo-square:before {
|
||
content: "\f2aa";
|
||
}
|
||
.fa-snapchat:before {
|
||
content: "\f2ab";
|
||
}
|
||
.fa-snapchat-ghost:before {
|
||
content: "\f2ac";
|
||
}
|
||
.fa-snapchat-square:before {
|
||
content: "\f2ad";
|
||
}
|
||
.fa-pied-piper:before {
|
||
content: "\f2ae";
|
||
}
|
||
.fa-first-order:before {
|
||
content: "\f2b0";
|
||
}
|
||
.fa-yoast:before {
|
||
content: "\f2b1";
|
||
}
|
||
.fa-themeisle:before {
|
||
content: "\f2b2";
|
||
}
|
||
.fa-google-plus-circle:before,
|
||
.fa-google-plus-official:before {
|
||
content: "\f2b3";
|
||
}
|
||
.fa-fa:before,
|
||
.fa-font-awesome:before {
|
||
content: "\f2b4";
|
||
}
|
||
.fa-handshake-o:before {
|
||
content: "\f2b5";
|
||
}
|
||
.fa-envelope-open:before {
|
||
content: "\f2b6";
|
||
}
|
||
.fa-envelope-open-o:before {
|
||
content: "\f2b7";
|
||
}
|
||
.fa-linode:before {
|
||
content: "\f2b8";
|
||
}
|
||
.fa-address-book:before {
|
||
content: "\f2b9";
|
||
}
|
||
.fa-address-book-o:before {
|
||
content: "\f2ba";
|
||
}
|
||
.fa-vcard:before,
|
||
.fa-address-card:before {
|
||
content: "\f2bb";
|
||
}
|
||
.fa-vcard-o:before,
|
||
.fa-address-card-o:before {
|
||
content: "\f2bc";
|
||
}
|
||
.fa-user-circle:before {
|
||
content: "\f2bd";
|
||
}
|
||
.fa-user-circle-o:before {
|
||
content: "\f2be";
|
||
}
|
||
.fa-user-o:before {
|
||
content: "\f2c0";
|
||
}
|
||
.fa-id-badge:before {
|
||
content: "\f2c1";
|
||
}
|
||
.fa-drivers-license:before,
|
||
.fa-id-card:before {
|
||
content: "\f2c2";
|
||
}
|
||
.fa-drivers-license-o:before,
|
||
.fa-id-card-o:before {
|
||
content: "\f2c3";
|
||
}
|
||
.fa-quora:before {
|
||
content: "\f2c4";
|
||
}
|
||
.fa-free-code-camp:before {
|
||
content: "\f2c5";
|
||
}
|
||
.fa-telegram:before {
|
||
content: "\f2c6";
|
||
}
|
||
.fa-thermometer-4:before,
|
||
.fa-thermometer:before,
|
||
.fa-thermometer-full:before {
|
||
content: "\f2c7";
|
||
}
|
||
.fa-thermometer-3:before,
|
||
.fa-thermometer-three-quarters:before {
|
||
content: "\f2c8";
|
||
}
|
||
.fa-thermometer-2:before,
|
||
.fa-thermometer-half:before {
|
||
content: "\f2c9";
|
||
}
|
||
.fa-thermometer-1:before,
|
||
.fa-thermometer-quarter:before {
|
||
content: "\f2ca";
|
||
}
|
||
.fa-thermometer-0:before,
|
||
.fa-thermometer-empty:before {
|
||
content: "\f2cb";
|
||
}
|
||
.fa-shower:before {
|
||
content: "\f2cc";
|
||
}
|
||
.fa-bathtub:before,
|
||
.fa-s15:before,
|
||
.fa-bath:before {
|
||
content: "\f2cd";
|
||
}
|
||
.fa-podcast:before {
|
||
content: "\f2ce";
|
||
}
|
||
.fa-window-maximize:before {
|
||
content: "\f2d0";
|
||
}
|
||
.fa-window-minimize:before {
|
||
content: "\f2d1";
|
||
}
|
||
.fa-window-restore:before {
|
||
content: "\f2d2";
|
||
}
|
||
.fa-times-rectangle:before,
|
||
.fa-window-close:before {
|
||
content: "\f2d3";
|
||
}
|
||
.fa-times-rectangle-o:before,
|
||
.fa-window-close-o:before {
|
||
content: "\f2d4";
|
||
}
|
||
.fa-bandcamp:before {
|
||
content: "\f2d5";
|
||
}
|
||
.fa-grav:before {
|
||
content: "\f2d6";
|
||
}
|
||
.fa-etsy:before {
|
||
content: "\f2d7";
|
||
}
|
||
.fa-imdb:before {
|
||
content: "\f2d8";
|
||
}
|
||
.fa-ravelry:before {
|
||
content: "\f2d9";
|
||
}
|
||
.fa-eercast:before {
|
||
content: "\f2da";
|
||
}
|
||
.fa-microchip:before {
|
||
content: "\f2db";
|
||
}
|
||
.fa-snowflake-o:before {
|
||
content: "\f2dc";
|
||
}
|
||
.fa-superpowers:before {
|
||
content: "\f2dd";
|
||
}
|
||
.fa-wpexplorer:before {
|
||
content: "\f2de";
|
||
}
|
||
.fa-meetup:before {
|
||
content: "\f2e0";
|
||
}
|
||
.sr-only {
|
||
position: absolute;
|
||
width: 1px;
|
||
height: 1px;
|
||
padding: 0;
|
||
margin: -1px;
|
||
overflow: hidden;
|
||
clip: rect(0, 0, 0, 0);
|
||
border: 0;
|
||
}
|
||
.sr-only-focusable:active,
|
||
.sr-only-focusable:focus {
|
||
position: static;
|
||
width: auto;
|
||
height: auto;
|
||
margin: 0;
|
||
overflow: visible;
|
||
clip: auto;
|
||
}
|
||
.sr-only-focusable:active,
|
||
.sr-only-focusable:focus {
|
||
position: static;
|
||
width: auto;
|
||
height: auto;
|
||
margin: 0;
|
||
overflow: visible;
|
||
clip: auto;
|
||
}
|
||
/*!
|
||
*
|
||
* IPython base
|
||
*
|
||
*/
|
||
.modal.fade .modal-dialog {
|
||
-webkit-transform: translate(0, 0);
|
||
-ms-transform: translate(0, 0);
|
||
-o-transform: translate(0, 0);
|
||
transform: translate(0, 0);
|
||
}
|
||
code {
|
||
color: #000;
|
||
}
|
||
pre {
|
||
font-size: inherit;
|
||
line-height: inherit;
|
||
}
|
||
label {
|
||
font-weight: normal;
|
||
}
|
||
/* Make the page background atleast 100% the height of the view port */
|
||
/* Make the page itself atleast 70% the height of the view port */
|
||
.border-box-sizing {
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
}
|
||
.corner-all {
|
||
border-radius: 2px;
|
||
}
|
||
.no-padding {
|
||
padding: 0px;
|
||
}
|
||
/* Flexible box model classes */
|
||
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
|
||
/* This file is a compatability layer. It allows the usage of flexible box
|
||
model layouts accross multiple browsers, including older browsers. The newest,
|
||
universal implementation of the flexible box model is used when available (see
|
||
`Modern browsers` comments below). Browsers that are known to implement this
|
||
new spec completely include:
|
||
|
||
Firefox 28.0+
|
||
Chrome 29.0+
|
||
Internet Explorer 11+
|
||
Opera 17.0+
|
||
|
||
Browsers not listed, including Safari, are supported via the styling under the
|
||
`Old browsers` comments below.
|
||
*/
|
||
.hbox {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: horizontal;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: horizontal;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: horizontal;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: row;
|
||
align-items: stretch;
|
||
}
|
||
.hbox > * {
|
||
/* Old browsers */
|
||
-webkit-box-flex: 0;
|
||
-moz-box-flex: 0;
|
||
box-flex: 0;
|
||
/* Modern browsers */
|
||
flex: none;
|
||
}
|
||
.vbox {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
}
|
||
.vbox > * {
|
||
/* Old browsers */
|
||
-webkit-box-flex: 0;
|
||
-moz-box-flex: 0;
|
||
box-flex: 0;
|
||
/* Modern browsers */
|
||
flex: none;
|
||
}
|
||
.hbox.reverse,
|
||
.vbox.reverse,
|
||
.reverse {
|
||
/* Old browsers */
|
||
-webkit-box-direction: reverse;
|
||
-moz-box-direction: reverse;
|
||
box-direction: reverse;
|
||
/* Modern browsers */
|
||
flex-direction: row-reverse;
|
||
}
|
||
.hbox.box-flex0,
|
||
.vbox.box-flex0,
|
||
.box-flex0 {
|
||
/* Old browsers */
|
||
-webkit-box-flex: 0;
|
||
-moz-box-flex: 0;
|
||
box-flex: 0;
|
||
/* Modern browsers */
|
||
flex: none;
|
||
width: auto;
|
||
}
|
||
.hbox.box-flex1,
|
||
.vbox.box-flex1,
|
||
.box-flex1 {
|
||
/* Old browsers */
|
||
-webkit-box-flex: 1;
|
||
-moz-box-flex: 1;
|
||
box-flex: 1;
|
||
/* Modern browsers */
|
||
flex: 1;
|
||
}
|
||
.hbox.box-flex,
|
||
.vbox.box-flex,
|
||
.box-flex {
|
||
/* Old browsers */
|
||
/* Old browsers */
|
||
-webkit-box-flex: 1;
|
||
-moz-box-flex: 1;
|
||
box-flex: 1;
|
||
/* Modern browsers */
|
||
flex: 1;
|
||
}
|
||
.hbox.box-flex2,
|
||
.vbox.box-flex2,
|
||
.box-flex2 {
|
||
/* Old browsers */
|
||
-webkit-box-flex: 2;
|
||
-moz-box-flex: 2;
|
||
box-flex: 2;
|
||
/* Modern browsers */
|
||
flex: 2;
|
||
}
|
||
.box-group1 {
|
||
/* Deprecated */
|
||
-webkit-box-flex-group: 1;
|
||
-moz-box-flex-group: 1;
|
||
box-flex-group: 1;
|
||
}
|
||
.box-group2 {
|
||
/* Deprecated */
|
||
-webkit-box-flex-group: 2;
|
||
-moz-box-flex-group: 2;
|
||
box-flex-group: 2;
|
||
}
|
||
.hbox.start,
|
||
.vbox.start,
|
||
.start {
|
||
/* Old browsers */
|
||
-webkit-box-pack: start;
|
||
-moz-box-pack: start;
|
||
box-pack: start;
|
||
/* Modern browsers */
|
||
justify-content: flex-start;
|
||
}
|
||
.hbox.end,
|
||
.vbox.end,
|
||
.end {
|
||
/* Old browsers */
|
||
-webkit-box-pack: end;
|
||
-moz-box-pack: end;
|
||
box-pack: end;
|
||
/* Modern browsers */
|
||
justify-content: flex-end;
|
||
}
|
||
.hbox.center,
|
||
.vbox.center,
|
||
.center {
|
||
/* Old browsers */
|
||
-webkit-box-pack: center;
|
||
-moz-box-pack: center;
|
||
box-pack: center;
|
||
/* Modern browsers */
|
||
justify-content: center;
|
||
}
|
||
.hbox.baseline,
|
||
.vbox.baseline,
|
||
.baseline {
|
||
/* Old browsers */
|
||
-webkit-box-pack: baseline;
|
||
-moz-box-pack: baseline;
|
||
box-pack: baseline;
|
||
/* Modern browsers */
|
||
justify-content: baseline;
|
||
}
|
||
.hbox.stretch,
|
||
.vbox.stretch,
|
||
.stretch {
|
||
/* Old browsers */
|
||
-webkit-box-pack: stretch;
|
||
-moz-box-pack: stretch;
|
||
box-pack: stretch;
|
||
/* Modern browsers */
|
||
justify-content: stretch;
|
||
}
|
||
.hbox.align-start,
|
||
.vbox.align-start,
|
||
.align-start {
|
||
/* Old browsers */
|
||
-webkit-box-align: start;
|
||
-moz-box-align: start;
|
||
box-align: start;
|
||
/* Modern browsers */
|
||
align-items: flex-start;
|
||
}
|
||
.hbox.align-end,
|
||
.vbox.align-end,
|
||
.align-end {
|
||
/* Old browsers */
|
||
-webkit-box-align: end;
|
||
-moz-box-align: end;
|
||
box-align: end;
|
||
/* Modern browsers */
|
||
align-items: flex-end;
|
||
}
|
||
.hbox.align-center,
|
||
.vbox.align-center,
|
||
.align-center {
|
||
/* Old browsers */
|
||
-webkit-box-align: center;
|
||
-moz-box-align: center;
|
||
box-align: center;
|
||
/* Modern browsers */
|
||
align-items: center;
|
||
}
|
||
.hbox.align-baseline,
|
||
.vbox.align-baseline,
|
||
.align-baseline {
|
||
/* Old browsers */
|
||
-webkit-box-align: baseline;
|
||
-moz-box-align: baseline;
|
||
box-align: baseline;
|
||
/* Modern browsers */
|
||
align-items: baseline;
|
||
}
|
||
.hbox.align-stretch,
|
||
.vbox.align-stretch,
|
||
.align-stretch {
|
||
/* Old browsers */
|
||
-webkit-box-align: stretch;
|
||
-moz-box-align: stretch;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
align-items: stretch;
|
||
}
|
||
div.error {
|
||
margin: 2em;
|
||
text-align: center;
|
||
}
|
||
div.error > h1 {
|
||
font-size: 500%;
|
||
line-height: normal;
|
||
}
|
||
div.error > p {
|
||
font-size: 200%;
|
||
line-height: normal;
|
||
}
|
||
div.traceback-wrapper {
|
||
text-align: left;
|
||
max-width: 800px;
|
||
margin: auto;
|
||
}
|
||
div.traceback-wrapper pre.traceback {
|
||
max-height: 600px;
|
||
overflow: auto;
|
||
}
|
||
/**
|
||
* Primary styles
|
||
*
|
||
* Author: Jupyter Development Team
|
||
*/
|
||
body {
|
||
background-color: #fff;
|
||
/* This makes sure that the body covers the entire window and needs to
|
||
be in a different element than the display: box in wrapper below */
|
||
position: absolute;
|
||
left: 0px;
|
||
right: 0px;
|
||
top: 0px;
|
||
bottom: 0px;
|
||
overflow: visible;
|
||
}
|
||
body > #header {
|
||
/* Initially hidden to prevent FLOUC */
|
||
display: none;
|
||
background-color: #fff;
|
||
/* Display over codemirror */
|
||
position: relative;
|
||
z-index: 100;
|
||
}
|
||
body > #header #header-container {
|
||
display: flex;
|
||
flex-direction: row;
|
||
justify-content: space-between;
|
||
padding: 5px;
|
||
padding-bottom: 5px;
|
||
padding-top: 5px;
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
}
|
||
body > #header .header-bar {
|
||
width: 100%;
|
||
height: 1px;
|
||
background: #e7e7e7;
|
||
margin-bottom: -1px;
|
||
}
|
||
@media print {
|
||
body > #header {
|
||
display: none !important;
|
||
}
|
||
}
|
||
#header-spacer {
|
||
width: 100%;
|
||
visibility: hidden;
|
||
}
|
||
@media print {
|
||
#header-spacer {
|
||
display: none;
|
||
}
|
||
}
|
||
#ipython_notebook {
|
||
padding-left: 0px;
|
||
padding-top: 1px;
|
||
padding-bottom: 1px;
|
||
}
|
||
[dir="rtl"] #ipython_notebook {
|
||
margin-right: 10px;
|
||
margin-left: 0;
|
||
}
|
||
[dir="rtl"] #ipython_notebook.pull-left {
|
||
float: right !important;
|
||
float: right;
|
||
}
|
||
.flex-spacer {
|
||
flex: 1;
|
||
}
|
||
#noscript {
|
||
width: auto;
|
||
padding-top: 16px;
|
||
padding-bottom: 16px;
|
||
text-align: center;
|
||
font-size: 22px;
|
||
color: red;
|
||
font-weight: bold;
|
||
}
|
||
#ipython_notebook img {
|
||
height: 28px;
|
||
}
|
||
#site {
|
||
width: 100%;
|
||
display: none;
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
overflow: auto;
|
||
}
|
||
@media print {
|
||
#site {
|
||
height: auto !important;
|
||
}
|
||
}
|
||
/* Smaller buttons */
|
||
.ui-button .ui-button-text {
|
||
padding: 0.2em 0.8em;
|
||
font-size: 77%;
|
||
}
|
||
input.ui-button {
|
||
padding: 0.3em 0.9em;
|
||
}
|
||
span#kernel_logo_widget {
|
||
margin: 0 10px;
|
||
}
|
||
span#login_widget {
|
||
float: right;
|
||
}
|
||
[dir="rtl"] span#login_widget {
|
||
float: left;
|
||
}
|
||
span#login_widget > .button,
|
||
#logout {
|
||
color: #333;
|
||
background-color: #fff;
|
||
border-color: #ccc;
|
||
}
|
||
span#login_widget > .button:focus,
|
||
#logout:focus,
|
||
span#login_widget > .button.focus,
|
||
#logout.focus {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #8c8c8c;
|
||
}
|
||
span#login_widget > .button:hover,
|
||
#logout:hover {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #adadad;
|
||
}
|
||
span#login_widget > .button:active,
|
||
#logout:active,
|
||
span#login_widget > .button.active,
|
||
#logout.active,
|
||
.open > .dropdown-togglespan#login_widget > .button,
|
||
.open > .dropdown-toggle#logout {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #adadad;
|
||
}
|
||
span#login_widget > .button:active:hover,
|
||
#logout:active:hover,
|
||
span#login_widget > .button.active:hover,
|
||
#logout.active:hover,
|
||
.open > .dropdown-togglespan#login_widget > .button:hover,
|
||
.open > .dropdown-toggle#logout:hover,
|
||
span#login_widget > .button:active:focus,
|
||
#logout:active:focus,
|
||
span#login_widget > .button.active:focus,
|
||
#logout.active:focus,
|
||
.open > .dropdown-togglespan#login_widget > .button:focus,
|
||
.open > .dropdown-toggle#logout:focus,
|
||
span#login_widget > .button:active.focus,
|
||
#logout:active.focus,
|
||
span#login_widget > .button.active.focus,
|
||
#logout.active.focus,
|
||
.open > .dropdown-togglespan#login_widget > .button.focus,
|
||
.open > .dropdown-toggle#logout.focus {
|
||
color: #333;
|
||
background-color: #d4d4d4;
|
||
border-color: #8c8c8c;
|
||
}
|
||
span#login_widget > .button:active,
|
||
#logout:active,
|
||
span#login_widget > .button.active,
|
||
#logout.active,
|
||
.open > .dropdown-togglespan#login_widget > .button,
|
||
.open > .dropdown-toggle#logout {
|
||
background-image: none;
|
||
}
|
||
span#login_widget > .button.disabled:hover,
|
||
#logout.disabled:hover,
|
||
span#login_widget > .button[disabled]:hover,
|
||
#logout[disabled]:hover,
|
||
fieldset[disabled] span#login_widget > .button:hover,
|
||
fieldset[disabled] #logout:hover,
|
||
span#login_widget > .button.disabled:focus,
|
||
#logout.disabled:focus,
|
||
span#login_widget > .button[disabled]:focus,
|
||
#logout[disabled]:focus,
|
||
fieldset[disabled] span#login_widget > .button:focus,
|
||
fieldset[disabled] #logout:focus,
|
||
span#login_widget > .button.disabled.focus,
|
||
#logout.disabled.focus,
|
||
span#login_widget > .button[disabled].focus,
|
||
#logout[disabled].focus,
|
||
fieldset[disabled] span#login_widget > .button.focus,
|
||
fieldset[disabled] #logout.focus {
|
||
background-color: #fff;
|
||
border-color: #ccc;
|
||
}
|
||
span#login_widget > .button .badge,
|
||
#logout .badge {
|
||
color: #fff;
|
||
background-color: #333;
|
||
}
|
||
.nav-header {
|
||
text-transform: none;
|
||
}
|
||
#header > span {
|
||
margin-top: 10px;
|
||
}
|
||
.modal_stretch .modal-dialog {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
min-height: 80vh;
|
||
}
|
||
.modal_stretch .modal-dialog .modal-body {
|
||
max-height: calc(100vh - 200px);
|
||
overflow: auto;
|
||
flex: 1;
|
||
}
|
||
.modal-header {
|
||
cursor: move;
|
||
}
|
||
@media (min-width: 768px) {
|
||
.modal .modal-dialog {
|
||
width: 700px;
|
||
}
|
||
}
|
||
@media (min-width: 768px) {
|
||
select.form-control {
|
||
margin-left: 12px;
|
||
margin-right: 12px;
|
||
}
|
||
}
|
||
/*!
|
||
*
|
||
* IPython auth
|
||
*
|
||
*/
|
||
.center-nav {
|
||
display: inline-block;
|
||
margin-bottom: -4px;
|
||
}
|
||
[dir="rtl"] .center-nav form.pull-left {
|
||
float: right !important;
|
||
float: right;
|
||
}
|
||
[dir="rtl"] .center-nav .navbar-text {
|
||
float: right;
|
||
}
|
||
[dir="rtl"] .navbar-inner {
|
||
text-align: right;
|
||
}
|
||
[dir="rtl"] div.text-left {
|
||
text-align: right;
|
||
}
|
||
/*!
|
||
*
|
||
* IPython tree view
|
||
*
|
||
*/
|
||
/* We need an invisible input field on top of the sentense*/
|
||
/* "Drag file onto the list ..." */
|
||
.alternate_upload {
|
||
background-color: none;
|
||
display: inline;
|
||
}
|
||
.alternate_upload.form {
|
||
padding: 0;
|
||
margin: 0;
|
||
}
|
||
.alternate_upload input.fileinput {
|
||
position: absolute;
|
||
display: block;
|
||
width: 100%;
|
||
height: 100%;
|
||
overflow: hidden;
|
||
cursor: pointer;
|
||
opacity: 0;
|
||
z-index: 2;
|
||
}
|
||
.alternate_upload .btn-xs > input.fileinput {
|
||
margin: -1px -5px;
|
||
}
|
||
.alternate_upload .btn-upload {
|
||
position: relative;
|
||
height: 22px;
|
||
}
|
||
::-webkit-file-upload-button {
|
||
cursor: pointer;
|
||
}
|
||
/**
|
||
* Primary styles
|
||
*
|
||
* Author: Jupyter Development Team
|
||
*/
|
||
ul#tabs {
|
||
margin-bottom: 4px;
|
||
}
|
||
ul#tabs a {
|
||
padding-top: 6px;
|
||
padding-bottom: 4px;
|
||
}
|
||
[dir="rtl"] ul#tabs.nav-tabs > li {
|
||
float: right;
|
||
}
|
||
[dir="rtl"] ul#tabs.nav.nav-tabs {
|
||
padding-right: 0;
|
||
}
|
||
ul.breadcrumb a:focus,
|
||
ul.breadcrumb a:hover {
|
||
text-decoration: none;
|
||
}
|
||
ul.breadcrumb i.icon-home {
|
||
font-size: 16px;
|
||
margin-right: 4px;
|
||
}
|
||
ul.breadcrumb span {
|
||
color: #5e5e5e;
|
||
}
|
||
.list_toolbar {
|
||
padding: 4px 0 4px 0;
|
||
vertical-align: middle;
|
||
}
|
||
.list_toolbar .tree-buttons {
|
||
padding-top: 1px;
|
||
}
|
||
[dir="rtl"] .list_toolbar .tree-buttons .pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
[dir="rtl"] .list_toolbar .col-sm-4,
|
||
[dir="rtl"] .list_toolbar .col-sm-8 {
|
||
float: right;
|
||
}
|
||
.dynamic-buttons {
|
||
padding-top: 3px;
|
||
display: inline-block;
|
||
}
|
||
.list_toolbar [class*="span"] {
|
||
min-height: 24px;
|
||
}
|
||
.list_header {
|
||
font-weight: bold;
|
||
background-color: #EEE;
|
||
}
|
||
.list_placeholder {
|
||
font-weight: bold;
|
||
padding-top: 4px;
|
||
padding-bottom: 4px;
|
||
padding-left: 7px;
|
||
padding-right: 7px;
|
||
}
|
||
.list_container {
|
||
margin-top: 4px;
|
||
margin-bottom: 20px;
|
||
border: 1px solid #ddd;
|
||
border-radius: 2px;
|
||
}
|
||
.list_container > div {
|
||
border-bottom: 1px solid #ddd;
|
||
}
|
||
.list_container > div:hover .list-item {
|
||
background-color: red;
|
||
}
|
||
.list_container > div:last-child {
|
||
border: none;
|
||
}
|
||
.list_item:hover .list_item {
|
||
background-color: #ddd;
|
||
}
|
||
.list_item a {
|
||
text-decoration: none;
|
||
}
|
||
.list_item:hover {
|
||
background-color: #fafafa;
|
||
}
|
||
.list_header > div,
|
||
.list_item > div {
|
||
padding-top: 4px;
|
||
padding-bottom: 4px;
|
||
padding-left: 7px;
|
||
padding-right: 7px;
|
||
line-height: 22px;
|
||
}
|
||
.list_header > div input,
|
||
.list_item > div input {
|
||
margin-right: 7px;
|
||
margin-left: 14px;
|
||
vertical-align: text-bottom;
|
||
line-height: 22px;
|
||
position: relative;
|
||
top: -1px;
|
||
}
|
||
.list_header > div .item_link,
|
||
.list_item > div .item_link {
|
||
margin-left: -1px;
|
||
vertical-align: baseline;
|
||
line-height: 22px;
|
||
}
|
||
[dir="rtl"] .list_item > div input {
|
||
margin-right: 0;
|
||
}
|
||
.new-file input[type=checkbox] {
|
||
visibility: hidden;
|
||
}
|
||
.item_name {
|
||
line-height: 22px;
|
||
height: 24px;
|
||
}
|
||
.item_icon {
|
||
font-size: 14px;
|
||
color: #5e5e5e;
|
||
margin-right: 7px;
|
||
margin-left: 7px;
|
||
line-height: 22px;
|
||
vertical-align: baseline;
|
||
}
|
||
.item_modified {
|
||
margin-right: 7px;
|
||
margin-left: 7px;
|
||
}
|
||
[dir="rtl"] .item_modified.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
.item_buttons {
|
||
line-height: 1em;
|
||
margin-left: -5px;
|
||
}
|
||
.item_buttons .btn,
|
||
.item_buttons .btn-group,
|
||
.item_buttons .input-group {
|
||
float: left;
|
||
}
|
||
.item_buttons > .btn,
|
||
.item_buttons > .btn-group,
|
||
.item_buttons > .input-group {
|
||
margin-left: 5px;
|
||
}
|
||
.item_buttons .btn {
|
||
min-width: 13ex;
|
||
}
|
||
.item_buttons .running-indicator {
|
||
padding-top: 4px;
|
||
color: #5cb85c;
|
||
}
|
||
.item_buttons .kernel-name {
|
||
padding-top: 4px;
|
||
color: #5bc0de;
|
||
margin-right: 7px;
|
||
float: left;
|
||
}
|
||
[dir="rtl"] .item_buttons.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
[dir="rtl"] .item_buttons .kernel-name {
|
||
margin-left: 7px;
|
||
float: right;
|
||
}
|
||
.toolbar_info {
|
||
height: 24px;
|
||
line-height: 24px;
|
||
}
|
||
.list_item input:not([type=checkbox]) {
|
||
padding-top: 3px;
|
||
padding-bottom: 3px;
|
||
height: 22px;
|
||
line-height: 14px;
|
||
margin: 0px;
|
||
}
|
||
.highlight_text {
|
||
color: blue;
|
||
}
|
||
#project_name {
|
||
display: inline-block;
|
||
padding-left: 7px;
|
||
margin-left: -2px;
|
||
}
|
||
#project_name > .breadcrumb {
|
||
padding: 0px;
|
||
margin-bottom: 0px;
|
||
background-color: transparent;
|
||
font-weight: bold;
|
||
}
|
||
.sort_button {
|
||
display: inline-block;
|
||
padding-left: 7px;
|
||
}
|
||
[dir="rtl"] .sort_button.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
#tree-selector {
|
||
padding-right: 0px;
|
||
}
|
||
#button-select-all {
|
||
min-width: 50px;
|
||
}
|
||
[dir="rtl"] #button-select-all.btn {
|
||
float: right ;
|
||
}
|
||
#select-all {
|
||
margin-left: 7px;
|
||
margin-right: 2px;
|
||
margin-top: 2px;
|
||
height: 16px;
|
||
}
|
||
[dir="rtl"] #select-all.pull-left {
|
||
float: right !important;
|
||
float: right;
|
||
}
|
||
.menu_icon {
|
||
margin-right: 2px;
|
||
}
|
||
.tab-content .row {
|
||
margin-left: 0px;
|
||
margin-right: 0px;
|
||
}
|
||
.folder_icon:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f114";
|
||
}
|
||
.folder_icon:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.folder_icon:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.folder_icon:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.folder_icon:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.notebook_icon:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f02d";
|
||
position: relative;
|
||
top: -1px;
|
||
}
|
||
.notebook_icon:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.notebook_icon:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.notebook_icon:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.notebook_icon:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.running_notebook_icon:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f02d";
|
||
position: relative;
|
||
top: -1px;
|
||
color: #5cb85c;
|
||
}
|
||
.running_notebook_icon:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.running_notebook_icon:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.running_notebook_icon:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.running_notebook_icon:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.file_icon:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f016";
|
||
position: relative;
|
||
top: -2px;
|
||
}
|
||
.file_icon:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.file_icon:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.file_icon:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.file_icon:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
#notebook_toolbar .pull-right {
|
||
padding-top: 0px;
|
||
margin-right: -1px;
|
||
}
|
||
ul#new-menu {
|
||
left: auto;
|
||
right: 0;
|
||
}
|
||
#new-menu .dropdown-header {
|
||
font-size: 10px;
|
||
border-bottom: 1px solid #e5e5e5;
|
||
padding: 0 0 3px;
|
||
margin: -3px 20px 0;
|
||
}
|
||
.kernel-menu-icon {
|
||
padding-right: 12px;
|
||
width: 24px;
|
||
content: "\f096";
|
||
}
|
||
.kernel-menu-icon:before {
|
||
content: "\f096";
|
||
}
|
||
.kernel-menu-icon-current:before {
|
||
content: "\f00c";
|
||
}
|
||
#tab_content {
|
||
padding-top: 20px;
|
||
}
|
||
#running .panel-group .panel {
|
||
margin-top: 3px;
|
||
margin-bottom: 1em;
|
||
}
|
||
#running .panel-group .panel .panel-heading {
|
||
background-color: #EEE;
|
||
padding-top: 4px;
|
||
padding-bottom: 4px;
|
||
padding-left: 7px;
|
||
padding-right: 7px;
|
||
line-height: 22px;
|
||
}
|
||
#running .panel-group .panel .panel-heading a:focus,
|
||
#running .panel-group .panel .panel-heading a:hover {
|
||
text-decoration: none;
|
||
}
|
||
#running .panel-group .panel .panel-body {
|
||
padding: 0px;
|
||
}
|
||
#running .panel-group .panel .panel-body .list_container {
|
||
margin-top: 0px;
|
||
margin-bottom: 0px;
|
||
border: 0px;
|
||
border-radius: 0px;
|
||
}
|
||
#running .panel-group .panel .panel-body .list_container .list_item {
|
||
border-bottom: 1px solid #ddd;
|
||
}
|
||
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
|
||
border-bottom: 0px;
|
||
}
|
||
.delete-button {
|
||
display: none;
|
||
}
|
||
.duplicate-button {
|
||
display: none;
|
||
}
|
||
.rename-button {
|
||
display: none;
|
||
}
|
||
.move-button {
|
||
display: none;
|
||
}
|
||
.download-button {
|
||
display: none;
|
||
}
|
||
.shutdown-button {
|
||
display: none;
|
||
}
|
||
.dynamic-instructions {
|
||
display: inline-block;
|
||
padding-top: 4px;
|
||
}
|
||
/*!
|
||
*
|
||
* IPython text editor webapp
|
||
*
|
||
*/
|
||
.selected-keymap i.fa {
|
||
padding: 0px 5px;
|
||
}
|
||
.selected-keymap i.fa:before {
|
||
content: "\f00c";
|
||
}
|
||
#mode-menu {
|
||
overflow: auto;
|
||
max-height: 20em;
|
||
}
|
||
.edit_app #header {
|
||
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
}
|
||
.edit_app #menubar .navbar {
|
||
/* Use a negative 1 bottom margin, so the border overlaps the border of the
|
||
header */
|
||
margin-bottom: -1px;
|
||
}
|
||
.dirty-indicator {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
width: 20px;
|
||
}
|
||
.dirty-indicator.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dirty-indicator.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.dirty-indicator.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dirty-indicator.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.dirty-indicator-dirty {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
width: 20px;
|
||
}
|
||
.dirty-indicator-dirty.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dirty-indicator-dirty.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.dirty-indicator-dirty.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dirty-indicator-dirty.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.dirty-indicator-clean {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
width: 20px;
|
||
}
|
||
.dirty-indicator-clean.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dirty-indicator-clean.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.dirty-indicator-clean.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dirty-indicator-clean.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.dirty-indicator-clean:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f00c";
|
||
}
|
||
.dirty-indicator-clean:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dirty-indicator-clean:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.dirty-indicator-clean:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dirty-indicator-clean:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
#filename {
|
||
font-size: 16pt;
|
||
display: table;
|
||
padding: 0px 5px;
|
||
}
|
||
#current-mode {
|
||
padding-left: 5px;
|
||
padding-right: 5px;
|
||
}
|
||
#texteditor-backdrop {
|
||
padding-top: 20px;
|
||
padding-bottom: 20px;
|
||
}
|
||
@media not print {
|
||
#texteditor-backdrop {
|
||
background-color: #EEE;
|
||
}
|
||
}
|
||
@media print {
|
||
#texteditor-backdrop #texteditor-container .CodeMirror-gutter,
|
||
#texteditor-backdrop #texteditor-container .CodeMirror-gutters {
|
||
background-color: #fff;
|
||
}
|
||
}
|
||
@media not print {
|
||
#texteditor-backdrop #texteditor-container .CodeMirror-gutter,
|
||
#texteditor-backdrop #texteditor-container .CodeMirror-gutters {
|
||
background-color: #fff;
|
||
}
|
||
}
|
||
@media not print {
|
||
#texteditor-backdrop #texteditor-container {
|
||
padding: 0px;
|
||
background-color: #fff;
|
||
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
}
|
||
}
|
||
.CodeMirror-dialog {
|
||
background-color: #fff;
|
||
}
|
||
/*!
|
||
*
|
||
* IPython notebook
|
||
*
|
||
*/
|
||
/* CSS font colors for translated ANSI escape sequences */
|
||
/* The color values are a mix of
|
||
http://www.xcolors.net/dl/baskerville-ivorylight and
|
||
http://www.xcolors.net/dl/euphrasia */
|
||
.ansi-black-fg {
|
||
color: #3E424D;
|
||
}
|
||
.ansi-black-bg {
|
||
background-color: #3E424D;
|
||
}
|
||
.ansi-black-intense-fg {
|
||
color: #282C36;
|
||
}
|
||
.ansi-black-intense-bg {
|
||
background-color: #282C36;
|
||
}
|
||
.ansi-red-fg {
|
||
color: #E75C58;
|
||
}
|
||
.ansi-red-bg {
|
||
background-color: #E75C58;
|
||
}
|
||
.ansi-red-intense-fg {
|
||
color: #B22B31;
|
||
}
|
||
.ansi-red-intense-bg {
|
||
background-color: #B22B31;
|
||
}
|
||
.ansi-green-fg {
|
||
color: #00A250;
|
||
}
|
||
.ansi-green-bg {
|
||
background-color: #00A250;
|
||
}
|
||
.ansi-green-intense-fg {
|
||
color: #007427;
|
||
}
|
||
.ansi-green-intense-bg {
|
||
background-color: #007427;
|
||
}
|
||
.ansi-yellow-fg {
|
||
color: #DDB62B;
|
||
}
|
||
.ansi-yellow-bg {
|
||
background-color: #DDB62B;
|
||
}
|
||
.ansi-yellow-intense-fg {
|
||
color: #B27D12;
|
||
}
|
||
.ansi-yellow-intense-bg {
|
||
background-color: #B27D12;
|
||
}
|
||
.ansi-blue-fg {
|
||
color: #208FFB;
|
||
}
|
||
.ansi-blue-bg {
|
||
background-color: #208FFB;
|
||
}
|
||
.ansi-blue-intense-fg {
|
||
color: #0065CA;
|
||
}
|
||
.ansi-blue-intense-bg {
|
||
background-color: #0065CA;
|
||
}
|
||
.ansi-magenta-fg {
|
||
color: #D160C4;
|
||
}
|
||
.ansi-magenta-bg {
|
||
background-color: #D160C4;
|
||
}
|
||
.ansi-magenta-intense-fg {
|
||
color: #A03196;
|
||
}
|
||
.ansi-magenta-intense-bg {
|
||
background-color: #A03196;
|
||
}
|
||
.ansi-cyan-fg {
|
||
color: #60C6C8;
|
||
}
|
||
.ansi-cyan-bg {
|
||
background-color: #60C6C8;
|
||
}
|
||
.ansi-cyan-intense-fg {
|
||
color: #258F8F;
|
||
}
|
||
.ansi-cyan-intense-bg {
|
||
background-color: #258F8F;
|
||
}
|
||
.ansi-white-fg {
|
||
color: #C5C1B4;
|
||
}
|
||
.ansi-white-bg {
|
||
background-color: #C5C1B4;
|
||
}
|
||
.ansi-white-intense-fg {
|
||
color: #A1A6B2;
|
||
}
|
||
.ansi-white-intense-bg {
|
||
background-color: #A1A6B2;
|
||
}
|
||
.ansi-default-inverse-fg {
|
||
color: #FFFFFF;
|
||
}
|
||
.ansi-default-inverse-bg {
|
||
background-color: #000000;
|
||
}
|
||
.ansi-bold {
|
||
font-weight: bold;
|
||
}
|
||
.ansi-underline {
|
||
text-decoration: underline;
|
||
}
|
||
/* The following styles are deprecated an will be removed in a future version */
|
||
.ansibold {
|
||
font-weight: bold;
|
||
}
|
||
.ansi-inverse {
|
||
outline: 0.5px dotted;
|
||
}
|
||
/* use dark versions for foreground, to improve visibility */
|
||
.ansiblack {
|
||
color: black;
|
||
}
|
||
.ansired {
|
||
color: darkred;
|
||
}
|
||
.ansigreen {
|
||
color: darkgreen;
|
||
}
|
||
.ansiyellow {
|
||
color: #c4a000;
|
||
}
|
||
.ansiblue {
|
||
color: darkblue;
|
||
}
|
||
.ansipurple {
|
||
color: darkviolet;
|
||
}
|
||
.ansicyan {
|
||
color: steelblue;
|
||
}
|
||
.ansigray {
|
||
color: gray;
|
||
}
|
||
/* and light for background, for the same reason */
|
||
.ansibgblack {
|
||
background-color: black;
|
||
}
|
||
.ansibgred {
|
||
background-color: red;
|
||
}
|
||
.ansibggreen {
|
||
background-color: green;
|
||
}
|
||
.ansibgyellow {
|
||
background-color: yellow;
|
||
}
|
||
.ansibgblue {
|
||
background-color: blue;
|
||
}
|
||
.ansibgpurple {
|
||
background-color: magenta;
|
||
}
|
||
.ansibgcyan {
|
||
background-color: cyan;
|
||
}
|
||
.ansibggray {
|
||
background-color: gray;
|
||
}
|
||
div.cell {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
border-radius: 2px;
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
border-width: 1px;
|
||
border-style: solid;
|
||
border-color: transparent;
|
||
width: 100%;
|
||
padding: 5px;
|
||
/* This acts as a spacer between cells, that is outside the border */
|
||
margin: 0px;
|
||
outline: none;
|
||
position: relative;
|
||
overflow: visible;
|
||
}
|
||
div.cell:before {
|
||
position: absolute;
|
||
display: block;
|
||
top: -1px;
|
||
left: -1px;
|
||
width: 5px;
|
||
height: calc(100% + 2px);
|
||
content: '';
|
||
background: transparent;
|
||
}
|
||
div.cell.jupyter-soft-selected {
|
||
border-left-color: #E3F2FD;
|
||
border-left-width: 1px;
|
||
padding-left: 5px;
|
||
border-right-color: #E3F2FD;
|
||
border-right-width: 1px;
|
||
background: #E3F2FD;
|
||
}
|
||
@media print {
|
||
div.cell.jupyter-soft-selected {
|
||
border-color: transparent;
|
||
}
|
||
}
|
||
div.cell.selected,
|
||
div.cell.selected.jupyter-soft-selected {
|
||
border-color: #ababab;
|
||
}
|
||
div.cell.selected:before,
|
||
div.cell.selected.jupyter-soft-selected:before {
|
||
position: absolute;
|
||
display: block;
|
||
top: -1px;
|
||
left: -1px;
|
||
width: 5px;
|
||
height: calc(100% + 2px);
|
||
content: '';
|
||
background: #42A5F5;
|
||
}
|
||
@media print {
|
||
div.cell.selected,
|
||
div.cell.selected.jupyter-soft-selected {
|
||
border-color: transparent;
|
||
}
|
||
}
|
||
.edit_mode div.cell.selected {
|
||
border-color: #66BB6A;
|
||
}
|
||
.edit_mode div.cell.selected:before {
|
||
position: absolute;
|
||
display: block;
|
||
top: -1px;
|
||
left: -1px;
|
||
width: 5px;
|
||
height: calc(100% + 2px);
|
||
content: '';
|
||
background: #66BB6A;
|
||
}
|
||
@media print {
|
||
.edit_mode div.cell.selected {
|
||
border-color: transparent;
|
||
}
|
||
}
|
||
.prompt {
|
||
/* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
|
||
min-width: 14ex;
|
||
/* This padding is tuned to match the padding on the CodeMirror editor. */
|
||
padding: 0.4em;
|
||
margin: 0px;
|
||
font-family: monospace;
|
||
text-align: right;
|
||
/* This has to match that of the the CodeMirror class line-height below */
|
||
line-height: 1.21429em;
|
||
/* Don't highlight prompt number selection */
|
||
-webkit-touch-callout: none;
|
||
-webkit-user-select: none;
|
||
-khtml-user-select: none;
|
||
-moz-user-select: none;
|
||
-ms-user-select: none;
|
||
user-select: none;
|
||
/* Use default cursor */
|
||
cursor: default;
|
||
}
|
||
@media (max-width: 540px) {
|
||
.prompt {
|
||
text-align: left;
|
||
}
|
||
}
|
||
div.inner_cell {
|
||
min-width: 0;
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
/* Old browsers */
|
||
-webkit-box-flex: 1;
|
||
-moz-box-flex: 1;
|
||
box-flex: 1;
|
||
/* Modern browsers */
|
||
flex: 1;
|
||
}
|
||
/* input_area and input_prompt must match in top border and margin for alignment */
|
||
div.input_area {
|
||
border: 1px solid #cfcfcf;
|
||
border-radius: 2px;
|
||
background: #f7f7f7;
|
||
line-height: 1.21429em;
|
||
}
|
||
/* This is needed so that empty prompt areas can collapse to zero height when there
|
||
is no content in the output_subarea and the prompt. The main purpose of this is
|
||
to make sure that empty JavaScript output_subareas have no height. */
|
||
div.prompt:empty {
|
||
padding-top: 0;
|
||
padding-bottom: 0;
|
||
}
|
||
div.unrecognized_cell {
|
||
padding: 5px 5px 5px 0px;
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: horizontal;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: horizontal;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: horizontal;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: row;
|
||
align-items: stretch;
|
||
}
|
||
div.unrecognized_cell .inner_cell {
|
||
border-radius: 2px;
|
||
padding: 5px;
|
||
font-weight: bold;
|
||
color: red;
|
||
border: 1px solid #cfcfcf;
|
||
background: #eaeaea;
|
||
}
|
||
div.unrecognized_cell .inner_cell a {
|
||
color: inherit;
|
||
text-decoration: none;
|
||
}
|
||
div.unrecognized_cell .inner_cell a:hover {
|
||
color: inherit;
|
||
text-decoration: none;
|
||
}
|
||
@media (max-width: 540px) {
|
||
div.unrecognized_cell > div.prompt {
|
||
display: none;
|
||
}
|
||
}
|
||
div.code_cell {
|
||
/* avoid page breaking on code cells when printing */
|
||
}
|
||
@media print {
|
||
div.code_cell {
|
||
page-break-inside: avoid;
|
||
}
|
||
}
|
||
/* any special styling for code cells that are currently running goes here */
|
||
div.input {
|
||
page-break-inside: avoid;
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: horizontal;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: horizontal;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: horizontal;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: row;
|
||
align-items: stretch;
|
||
}
|
||
@media (max-width: 540px) {
|
||
div.input {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
}
|
||
}
|
||
/* input_area and input_prompt must match in top border and margin for alignment */
|
||
div.input_prompt {
|
||
color: #303F9F;
|
||
border-top: 1px solid transparent;
|
||
}
|
||
div.input_area > div.highlight {
|
||
margin: 0.4em;
|
||
border: none;
|
||
padding: 0px;
|
||
background-color: transparent;
|
||
}
|
||
div.input_area > div.highlight > pre {
|
||
margin: 0px;
|
||
border: none;
|
||
padding: 0px;
|
||
background-color: transparent;
|
||
}
|
||
/* The following gets added to the <head> if it is detected that the user has a
|
||
* monospace font with inconsistent normal/bold/italic height. See
|
||
* notebookmain.js. Such fonts will have keywords vertically offset with
|
||
* respect to the rest of the text. The user should select a better font.
|
||
* See: https://github.com/ipython/ipython/issues/1503
|
||
*
|
||
* .CodeMirror span {
|
||
* vertical-align: bottom;
|
||
* }
|
||
*/
|
||
.CodeMirror {
|
||
line-height: 1.21429em;
|
||
/* Changed from 1em to our global default */
|
||
font-size: 14px;
|
||
height: auto;
|
||
/* Changed to auto to autogrow */
|
||
background: none;
|
||
/* Changed from white to allow our bg to show through */
|
||
}
|
||
.CodeMirror-scroll {
|
||
/* The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
|
||
/* We have found that if it is visible, vertical scrollbars appear with font size changes.*/
|
||
overflow-y: hidden;
|
||
overflow-x: auto;
|
||
}
|
||
.CodeMirror-lines {
|
||
/* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
|
||
/* we have set a different line-height and want this to scale with that. */
|
||
/* Note that this should set vertical padding only, since CodeMirror assumes
|
||
that horizontal padding will be set on CodeMirror pre */
|
||
padding: 0.4em 0;
|
||
}
|
||
.CodeMirror-linenumber {
|
||
padding: 0 8px 0 4px;
|
||
}
|
||
.CodeMirror-gutters {
|
||
border-bottom-left-radius: 2px;
|
||
border-top-left-radius: 2px;
|
||
}
|
||
.CodeMirror pre {
|
||
/* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only,
|
||
use .CodeMirror-lines for vertical */
|
||
padding: 0 0.4em;
|
||
border: 0;
|
||
border-radius: 0;
|
||
}
|
||
.CodeMirror-cursor {
|
||
border-left: 1.4px solid black;
|
||
}
|
||
@media screen and (min-width: 2138px) and (max-width: 4319px) {
|
||
.CodeMirror-cursor {
|
||
border-left: 2px solid black;
|
||
}
|
||
}
|
||
@media screen and (min-width: 4320px) {
|
||
.CodeMirror-cursor {
|
||
border-left: 4px solid black;
|
||
}
|
||
}
|
||
/*
|
||
|
||
Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
|
||
Adapted from GitHub theme
|
||
|
||
*/
|
||
.highlight-base {
|
||
color: #000;
|
||
}
|
||
.highlight-variable {
|
||
color: #000;
|
||
}
|
||
.highlight-variable-2 {
|
||
color: #1a1a1a;
|
||
}
|
||
.highlight-variable-3 {
|
||
color: #333333;
|
||
}
|
||
.highlight-string {
|
||
color: #BA2121;
|
||
}
|
||
.highlight-comment {
|
||
color: #408080;
|
||
font-style: italic;
|
||
}
|
||
.highlight-number {
|
||
color: #080;
|
||
}
|
||
.highlight-atom {
|
||
color: #88F;
|
||
}
|
||
.highlight-keyword {
|
||
color: #008000;
|
||
font-weight: bold;
|
||
}
|
||
.highlight-builtin {
|
||
color: #008000;
|
||
}
|
||
.highlight-error {
|
||
color: #f00;
|
||
}
|
||
.highlight-operator {
|
||
color: #AA22FF;
|
||
font-weight: bold;
|
||
}
|
||
.highlight-meta {
|
||
color: #AA22FF;
|
||
}
|
||
/* previously not defined, copying from default codemirror */
|
||
.highlight-def {
|
||
color: #00f;
|
||
}
|
||
.highlight-string-2 {
|
||
color: #f50;
|
||
}
|
||
.highlight-qualifier {
|
||
color: #555;
|
||
}
|
||
.highlight-bracket {
|
||
color: #997;
|
||
}
|
||
.highlight-tag {
|
||
color: #170;
|
||
}
|
||
.highlight-attribute {
|
||
color: #00c;
|
||
}
|
||
.highlight-header {
|
||
color: blue;
|
||
}
|
||
.highlight-quote {
|
||
color: #090;
|
||
}
|
||
.highlight-link {
|
||
color: #00c;
|
||
}
|
||
/* apply the same style to codemirror */
|
||
.cm-s-ipython span.cm-keyword {
|
||
color: #008000;
|
||
font-weight: bold;
|
||
}
|
||
.cm-s-ipython span.cm-atom {
|
||
color: #88F;
|
||
}
|
||
.cm-s-ipython span.cm-number {
|
||
color: #080;
|
||
}
|
||
.cm-s-ipython span.cm-def {
|
||
color: #00f;
|
||
}
|
||
.cm-s-ipython span.cm-variable {
|
||
color: #000;
|
||
}
|
||
.cm-s-ipython span.cm-operator {
|
||
color: #AA22FF;
|
||
font-weight: bold;
|
||
}
|
||
.cm-s-ipython span.cm-variable-2 {
|
||
color: #1a1a1a;
|
||
}
|
||
.cm-s-ipython span.cm-variable-3 {
|
||
color: #333333;
|
||
}
|
||
.cm-s-ipython span.cm-comment {
|
||
color: #408080;
|
||
font-style: italic;
|
||
}
|
||
.cm-s-ipython span.cm-string {
|
||
color: #BA2121;
|
||
}
|
||
.cm-s-ipython span.cm-string-2 {
|
||
color: #f50;
|
||
}
|
||
.cm-s-ipython span.cm-meta {
|
||
color: #AA22FF;
|
||
}
|
||
.cm-s-ipython span.cm-qualifier {
|
||
color: #555;
|
||
}
|
||
.cm-s-ipython span.cm-builtin {
|
||
color: #008000;
|
||
}
|
||
.cm-s-ipython span.cm-bracket {
|
||
color: #997;
|
||
}
|
||
.cm-s-ipython span.cm-tag {
|
||
color: #170;
|
||
}
|
||
.cm-s-ipython span.cm-attribute {
|
||
color: #00c;
|
||
}
|
||
.cm-s-ipython span.cm-header {
|
||
color: blue;
|
||
}
|
||
.cm-s-ipython span.cm-quote {
|
||
color: #090;
|
||
}
|
||
.cm-s-ipython span.cm-link {
|
||
color: #00c;
|
||
}
|
||
.cm-s-ipython span.cm-error {
|
||
color: #f00;
|
||
}
|
||
.cm-s-ipython span.cm-tab {
|
||
background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
|
||
background-position: right;
|
||
background-repeat: no-repeat;
|
||
}
|
||
div.output_wrapper {
|
||
/* this position must be relative to enable descendents to be absolute within it */
|
||
position: relative;
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
z-index: 1;
|
||
}
|
||
/* class for the output area when it should be height-limited */
|
||
div.output_scroll {
|
||
/* ideally, this would be max-height, but FF barfs all over that */
|
||
height: 24em;
|
||
/* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
|
||
width: 100%;
|
||
overflow: auto;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
|
||
box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
|
||
display: block;
|
||
}
|
||
/* output div while it is collapsed */
|
||
div.output_collapsed {
|
||
margin: 0px;
|
||
padding: 0px;
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
}
|
||
div.out_prompt_overlay {
|
||
height: 100%;
|
||
padding: 0px 0.4em;
|
||
position: absolute;
|
||
border-radius: 2px;
|
||
}
|
||
div.out_prompt_overlay:hover {
|
||
/* use inner shadow to get border that is computed the same on WebKit/FF */
|
||
-webkit-box-shadow: inset 0 0 1px #000;
|
||
box-shadow: inset 0 0 1px #000;
|
||
background: rgba(240, 240, 240, 0.5);
|
||
}
|
||
div.output_prompt {
|
||
color: #D84315;
|
||
}
|
||
/* This class is the outer container of all output sections. */
|
||
div.output_area {
|
||
padding: 0px;
|
||
page-break-inside: avoid;
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: horizontal;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: horizontal;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: horizontal;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: row;
|
||
align-items: stretch;
|
||
}
|
||
div.output_area .MathJax_Display {
|
||
text-align: left !important;
|
||
}
|
||
div.output_area .rendered_html table {
|
||
margin-left: 0;
|
||
margin-right: 0;
|
||
}
|
||
div.output_area .rendered_html img {
|
||
margin-left: 0;
|
||
margin-right: 0;
|
||
}
|
||
div.output_area img,
|
||
div.output_area svg {
|
||
max-width: 100%;
|
||
height: auto;
|
||
}
|
||
div.output_area img.unconfined,
|
||
div.output_area svg.unconfined {
|
||
max-width: none;
|
||
}
|
||
div.output_area .mglyph > img {
|
||
max-width: none;
|
||
}
|
||
/* This is needed to protect the pre formating from global settings such
|
||
as that of bootstrap */
|
||
.output {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
}
|
||
@media (max-width: 540px) {
|
||
div.output_area {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: vertical;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: vertical;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: vertical;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: column;
|
||
align-items: stretch;
|
||
}
|
||
}
|
||
div.output_area pre {
|
||
margin: 0;
|
||
padding: 1px 0 1px 0;
|
||
border: 0;
|
||
vertical-align: baseline;
|
||
color: black;
|
||
background-color: transparent;
|
||
border-radius: 0;
|
||
}
|
||
/* This class is for the output subarea inside the output_area and after
|
||
the prompt div. */
|
||
div.output_subarea {
|
||
overflow-x: auto;
|
||
padding: 0.4em;
|
||
/* Old browsers */
|
||
-webkit-box-flex: 1;
|
||
-moz-box-flex: 1;
|
||
box-flex: 1;
|
||
/* Modern browsers */
|
||
flex: 1;
|
||
max-width: calc(100% - 14ex);
|
||
}
|
||
div.output_scroll div.output_subarea {
|
||
overflow-x: visible;
|
||
}
|
||
/* The rest of the output_* classes are for special styling of the different
|
||
output types */
|
||
/* all text output has this class: */
|
||
div.output_text {
|
||
text-align: left;
|
||
color: #000;
|
||
/* This has to match that of the the CodeMirror class line-height below */
|
||
line-height: 1.21429em;
|
||
}
|
||
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
|
||
div.output_stderr {
|
||
background: #fdd;
|
||
/* very light red background for stderr */
|
||
}
|
||
div.output_latex {
|
||
text-align: left;
|
||
}
|
||
/* Empty output_javascript divs should have no height */
|
||
div.output_javascript:empty {
|
||
padding: 0;
|
||
}
|
||
.js-error {
|
||
color: darkred;
|
||
}
|
||
/* raw_input styles */
|
||
div.raw_input_container {
|
||
line-height: 1.21429em;
|
||
padding-top: 5px;
|
||
}
|
||
pre.raw_input_prompt {
|
||
/* nothing needed here. */
|
||
}
|
||
input.raw_input {
|
||
font-family: monospace;
|
||
font-size: inherit;
|
||
color: inherit;
|
||
width: auto;
|
||
/* make sure input baseline aligns with prompt */
|
||
vertical-align: baseline;
|
||
/* padding + margin = 0.5em between prompt and cursor */
|
||
padding: 0em 0.25em;
|
||
margin: 0em 0.25em;
|
||
}
|
||
input.raw_input:focus {
|
||
box-shadow: none;
|
||
}
|
||
p.p-space {
|
||
margin-bottom: 10px;
|
||
}
|
||
div.output_unrecognized {
|
||
padding: 5px;
|
||
font-weight: bold;
|
||
color: red;
|
||
}
|
||
div.output_unrecognized a {
|
||
color: inherit;
|
||
text-decoration: none;
|
||
}
|
||
div.output_unrecognized a:hover {
|
||
color: inherit;
|
||
text-decoration: none;
|
||
}
|
||
.rendered_html {
|
||
color: #000;
|
||
/* any extras will just be numbers: */
|
||
}
|
||
.rendered_html em {
|
||
font-style: italic;
|
||
}
|
||
.rendered_html strong {
|
||
font-weight: bold;
|
||
}
|
||
.rendered_html u {
|
||
text-decoration: underline;
|
||
}
|
||
.rendered_html :link {
|
||
text-decoration: underline;
|
||
}
|
||
.rendered_html :visited {
|
||
text-decoration: underline;
|
||
}
|
||
.rendered_html h1 {
|
||
font-size: 185.7%;
|
||
margin: 1.08em 0 0 0;
|
||
font-weight: bold;
|
||
line-height: 1.0;
|
||
}
|
||
.rendered_html h2 {
|
||
font-size: 157.1%;
|
||
margin: 1.27em 0 0 0;
|
||
font-weight: bold;
|
||
line-height: 1.0;
|
||
}
|
||
.rendered_html h3 {
|
||
font-size: 128.6%;
|
||
margin: 1.55em 0 0 0;
|
||
font-weight: bold;
|
||
line-height: 1.0;
|
||
}
|
||
.rendered_html h4 {
|
||
font-size: 100%;
|
||
margin: 2em 0 0 0;
|
||
font-weight: bold;
|
||
line-height: 1.0;
|
||
}
|
||
.rendered_html h5 {
|
||
font-size: 100%;
|
||
margin: 2em 0 0 0;
|
||
font-weight: bold;
|
||
line-height: 1.0;
|
||
font-style: italic;
|
||
}
|
||
.rendered_html h6 {
|
||
font-size: 100%;
|
||
margin: 2em 0 0 0;
|
||
font-weight: bold;
|
||
line-height: 1.0;
|
||
font-style: italic;
|
||
}
|
||
.rendered_html h1:first-child {
|
||
margin-top: 0.538em;
|
||
}
|
||
.rendered_html h2:first-child {
|
||
margin-top: 0.636em;
|
||
}
|
||
.rendered_html h3:first-child {
|
||
margin-top: 0.777em;
|
||
}
|
||
.rendered_html h4:first-child {
|
||
margin-top: 1em;
|
||
}
|
||
.rendered_html h5:first-child {
|
||
margin-top: 1em;
|
||
}
|
||
.rendered_html h6:first-child {
|
||
margin-top: 1em;
|
||
}
|
||
.rendered_html ul:not(.list-inline),
|
||
.rendered_html ol:not(.list-inline) {
|
||
padding-left: 2em;
|
||
}
|
||
.rendered_html ul {
|
||
list-style: disc;
|
||
}
|
||
.rendered_html ul ul {
|
||
list-style: square;
|
||
margin-top: 0;
|
||
}
|
||
.rendered_html ul ul ul {
|
||
list-style: circle;
|
||
}
|
||
.rendered_html ol {
|
||
list-style: decimal;
|
||
}
|
||
.rendered_html ol ol {
|
||
list-style: upper-alpha;
|
||
margin-top: 0;
|
||
}
|
||
.rendered_html ol ol ol {
|
||
list-style: lower-alpha;
|
||
}
|
||
.rendered_html ol ol ol ol {
|
||
list-style: lower-roman;
|
||
}
|
||
.rendered_html ol ol ol ol ol {
|
||
list-style: decimal;
|
||
}
|
||
.rendered_html * + ul {
|
||
margin-top: 1em;
|
||
}
|
||
.rendered_html * + ol {
|
||
margin-top: 1em;
|
||
}
|
||
.rendered_html hr {
|
||
color: black;
|
||
background-color: black;
|
||
}
|
||
.rendered_html pre {
|
||
margin: 1em 2em;
|
||
padding: 0px;
|
||
background-color: #fff;
|
||
}
|
||
.rendered_html code {
|
||
background-color: #eff0f1;
|
||
}
|
||
.rendered_html p code {
|
||
padding: 1px 5px;
|
||
}
|
||
.rendered_html pre code {
|
||
background-color: #fff;
|
||
}
|
||
.rendered_html pre,
|
||
.rendered_html code {
|
||
border: 0;
|
||
color: #000;
|
||
font-size: 100%;
|
||
}
|
||
.rendered_html blockquote {
|
||
margin: 1em 2em;
|
||
}
|
||
.rendered_html table {
|
||
margin-left: auto;
|
||
margin-right: auto;
|
||
border: none;
|
||
border-collapse: collapse;
|
||
border-spacing: 0;
|
||
color: black;
|
||
font-size: 12px;
|
||
table-layout: fixed;
|
||
}
|
||
.rendered_html thead {
|
||
border-bottom: 1px solid black;
|
||
vertical-align: bottom;
|
||
}
|
||
.rendered_html tr,
|
||
.rendered_html th,
|
||
.rendered_html td {
|
||
text-align: right;
|
||
vertical-align: middle;
|
||
padding: 0.5em 0.5em;
|
||
line-height: normal;
|
||
white-space: normal;
|
||
max-width: none;
|
||
border: none;
|
||
}
|
||
.rendered_html th {
|
||
font-weight: bold;
|
||
}
|
||
.rendered_html tbody tr:nth-child(odd) {
|
||
background: #f5f5f5;
|
||
}
|
||
.rendered_html tbody tr:hover {
|
||
background: rgba(66, 165, 245, 0.2);
|
||
}
|
||
.rendered_html * + table {
|
||
margin-top: 1em;
|
||
}
|
||
.rendered_html p {
|
||
text-align: left;
|
||
}
|
||
.rendered_html * + p {
|
||
margin-top: 1em;
|
||
}
|
||
.rendered_html img {
|
||
display: block;
|
||
margin-left: auto;
|
||
margin-right: auto;
|
||
}
|
||
.rendered_html * + img {
|
||
margin-top: 1em;
|
||
}
|
||
.rendered_html img,
|
||
.rendered_html svg {
|
||
max-width: 100%;
|
||
height: auto;
|
||
}
|
||
.rendered_html img.unconfined,
|
||
.rendered_html svg.unconfined {
|
||
max-width: none;
|
||
}
|
||
.rendered_html .alert {
|
||
margin-bottom: initial;
|
||
}
|
||
.rendered_html * + .alert {
|
||
margin-top: 1em;
|
||
}
|
||
[dir="rtl"] .rendered_html p {
|
||
text-align: right;
|
||
}
|
||
div.text_cell {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: horizontal;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: horizontal;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: horizontal;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: row;
|
||
align-items: stretch;
|
||
}
|
||
@media (max-width: 540px) {
|
||
div.text_cell > div.prompt {
|
||
display: none;
|
||
}
|
||
}
|
||
div.text_cell_render {
|
||
/*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
|
||
outline: none;
|
||
resize: none;
|
||
width: inherit;
|
||
border-style: none;
|
||
padding: 0.5em 0.5em 0.5em 0.4em;
|
||
color: #000;
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
}
|
||
a.anchor-link:link {
|
||
text-decoration: none;
|
||
padding: 0px 20px;
|
||
visibility: hidden;
|
||
}
|
||
h1:hover .anchor-link,
|
||
h2:hover .anchor-link,
|
||
h3:hover .anchor-link,
|
||
h4:hover .anchor-link,
|
||
h5:hover .anchor-link,
|
||
h6:hover .anchor-link {
|
||
visibility: visible;
|
||
}
|
||
.text_cell.rendered .input_area {
|
||
display: none;
|
||
}
|
||
.text_cell.rendered .rendered_html {
|
||
overflow-x: auto;
|
||
overflow-y: hidden;
|
||
}
|
||
.text_cell.rendered .rendered_html tr,
|
||
.text_cell.rendered .rendered_html th,
|
||
.text_cell.rendered .rendered_html td {
|
||
max-width: none;
|
||
}
|
||
.text_cell.unrendered .text_cell_render {
|
||
display: none;
|
||
}
|
||
.text_cell .dropzone .input_area {
|
||
border: 2px dashed #bababa;
|
||
margin: -1px;
|
||
}
|
||
.cm-header-1,
|
||
.cm-header-2,
|
||
.cm-header-3,
|
||
.cm-header-4,
|
||
.cm-header-5,
|
||
.cm-header-6 {
|
||
font-weight: bold;
|
||
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
|
||
}
|
||
.cm-header-1 {
|
||
font-size: 185.7%;
|
||
}
|
||
.cm-header-2 {
|
||
font-size: 157.1%;
|
||
}
|
||
.cm-header-3 {
|
||
font-size: 128.6%;
|
||
}
|
||
.cm-header-4 {
|
||
font-size: 110%;
|
||
}
|
||
.cm-header-5 {
|
||
font-size: 100%;
|
||
font-style: italic;
|
||
}
|
||
.cm-header-6 {
|
||
font-size: 100%;
|
||
font-style: italic;
|
||
}
|
||
/*!
|
||
*
|
||
* IPython notebook webapp
|
||
*
|
||
*/
|
||
@media (max-width: 767px) {
|
||
.notebook_app {
|
||
padding-left: 0px;
|
||
padding-right: 0px;
|
||
}
|
||
}
|
||
#ipython-main-app {
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
height: 100%;
|
||
}
|
||
div#notebook_panel {
|
||
margin: 0px;
|
||
padding: 0px;
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
height: 100%;
|
||
}
|
||
div#notebook {
|
||
font-size: 14px;
|
||
line-height: 20px;
|
||
overflow-y: hidden;
|
||
overflow-x: auto;
|
||
width: 100%;
|
||
/* This spaces the page away from the edge of the notebook area */
|
||
padding-top: 20px;
|
||
margin: 0px;
|
||
outline: none;
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
min-height: 100%;
|
||
}
|
||
@media not print {
|
||
#notebook-container {
|
||
padding: 15px;
|
||
background-color: #fff;
|
||
min-height: 0;
|
||
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
}
|
||
}
|
||
@media print {
|
||
#notebook-container {
|
||
width: 100%;
|
||
}
|
||
}
|
||
div.ui-widget-content {
|
||
border: 1px solid #ababab;
|
||
outline: none;
|
||
}
|
||
pre.dialog {
|
||
background-color: #f7f7f7;
|
||
border: 1px solid #ddd;
|
||
border-radius: 2px;
|
||
padding: 0.4em;
|
||
padding-left: 2em;
|
||
}
|
||
p.dialog {
|
||
padding: 0.2em;
|
||
}
|
||
/* Word-wrap output correctly. This is the CSS3 spelling, though Firefox seems
|
||
to not honor it correctly. Webkit browsers (Chrome, rekonq, Safari) do.
|
||
*/
|
||
pre,
|
||
code,
|
||
kbd,
|
||
samp {
|
||
white-space: pre-wrap;
|
||
}
|
||
#fonttest {
|
||
font-family: monospace;
|
||
}
|
||
p {
|
||
margin-bottom: 0;
|
||
}
|
||
.end_space {
|
||
min-height: 100px;
|
||
transition: height .2s ease;
|
||
}
|
||
.notebook_app > #header {
|
||
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
}
|
||
@media not print {
|
||
.notebook_app {
|
||
background-color: #EEE;
|
||
}
|
||
}
|
||
kbd {
|
||
border-style: solid;
|
||
border-width: 1px;
|
||
box-shadow: none;
|
||
margin: 2px;
|
||
padding-left: 2px;
|
||
padding-right: 2px;
|
||
padding-top: 1px;
|
||
padding-bottom: 1px;
|
||
}
|
||
.jupyter-keybindings {
|
||
padding: 1px;
|
||
line-height: 24px;
|
||
border-bottom: 1px solid gray;
|
||
}
|
||
.jupyter-keybindings input {
|
||
margin: 0;
|
||
padding: 0;
|
||
border: none;
|
||
}
|
||
.jupyter-keybindings i {
|
||
padding: 6px;
|
||
}
|
||
.well code {
|
||
background-color: #ffffff;
|
||
border-color: #ababab;
|
||
border-width: 1px;
|
||
border-style: solid;
|
||
padding: 2px;
|
||
padding-top: 1px;
|
||
padding-bottom: 1px;
|
||
}
|
||
/* CSS for the cell toolbar */
|
||
.celltoolbar {
|
||
border: thin solid #CFCFCF;
|
||
border-bottom: none;
|
||
background: #EEE;
|
||
border-radius: 2px 2px 0px 0px;
|
||
width: 100%;
|
||
height: 29px;
|
||
padding-right: 4px;
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: horizontal;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: horizontal;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: horizontal;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: row;
|
||
align-items: stretch;
|
||
/* Old browsers */
|
||
-webkit-box-pack: end;
|
||
-moz-box-pack: end;
|
||
box-pack: end;
|
||
/* Modern browsers */
|
||
justify-content: flex-end;
|
||
display: -webkit-flex;
|
||
}
|
||
@media print {
|
||
.celltoolbar {
|
||
display: none;
|
||
}
|
||
}
|
||
.ctb_hideshow {
|
||
display: none;
|
||
vertical-align: bottom;
|
||
}
|
||
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
|
||
Cell toolbars are only shown when the ctb_global_show class is also set.
|
||
*/
|
||
.ctb_global_show .ctb_show.ctb_hideshow {
|
||
display: block;
|
||
}
|
||
.ctb_global_show .ctb_show + .input_area,
|
||
.ctb_global_show .ctb_show + div.text_cell_input,
|
||
.ctb_global_show .ctb_show ~ div.text_cell_render {
|
||
border-top-right-radius: 0px;
|
||
border-top-left-radius: 0px;
|
||
}
|
||
.ctb_global_show .ctb_show ~ div.text_cell_render {
|
||
border: 1px solid #cfcfcf;
|
||
}
|
||
.celltoolbar {
|
||
font-size: 87%;
|
||
padding-top: 3px;
|
||
}
|
||
.celltoolbar select {
|
||
display: block;
|
||
width: 100%;
|
||
height: 32px;
|
||
padding: 6px 12px;
|
||
font-size: 13px;
|
||
line-height: 1.42857143;
|
||
color: #555555;
|
||
background-color: #fff;
|
||
background-image: none;
|
||
border: 1px solid #ccc;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
-webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
-o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
height: 30px;
|
||
padding: 5px 10px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
border-radius: 1px;
|
||
width: inherit;
|
||
font-size: inherit;
|
||
height: 22px;
|
||
padding: 0px;
|
||
display: inline-block;
|
||
}
|
||
.celltoolbar select:focus {
|
||
border-color: #66afe9;
|
||
outline: 0;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
|
||
box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
|
||
}
|
||
.celltoolbar select::-moz-placeholder {
|
||
color: #999;
|
||
opacity: 1;
|
||
}
|
||
.celltoolbar select:-ms-input-placeholder {
|
||
color: #999;
|
||
}
|
||
.celltoolbar select::-webkit-input-placeholder {
|
||
color: #999;
|
||
}
|
||
.celltoolbar select::-ms-expand {
|
||
border: 0;
|
||
background-color: transparent;
|
||
}
|
||
.celltoolbar select[disabled],
|
||
.celltoolbar select[readonly],
|
||
fieldset[disabled] .celltoolbar select {
|
||
background-color: #eeeeee;
|
||
opacity: 1;
|
||
}
|
||
.celltoolbar select[disabled],
|
||
fieldset[disabled] .celltoolbar select {
|
||
cursor: not-allowed;
|
||
}
|
||
textarea.celltoolbar select {
|
||
height: auto;
|
||
}
|
||
select.celltoolbar select {
|
||
height: 30px;
|
||
line-height: 30px;
|
||
}
|
||
textarea.celltoolbar select,
|
||
select[multiple].celltoolbar select {
|
||
height: auto;
|
||
}
|
||
.celltoolbar label {
|
||
margin-left: 5px;
|
||
margin-right: 5px;
|
||
}
|
||
.tags_button_container {
|
||
width: 100%;
|
||
display: flex;
|
||
}
|
||
.tag-container {
|
||
display: flex;
|
||
flex-direction: row;
|
||
flex-grow: 1;
|
||
overflow: hidden;
|
||
position: relative;
|
||
}
|
||
.tag-container > * {
|
||
margin: 0 4px;
|
||
}
|
||
.remove-tag-btn {
|
||
margin-left: 4px;
|
||
}
|
||
.tags-input {
|
||
display: flex;
|
||
}
|
||
.cell-tag:last-child:after {
|
||
content: "";
|
||
position: absolute;
|
||
right: 0;
|
||
width: 40px;
|
||
height: 100%;
|
||
/* Fade to background color of cell toolbar */
|
||
background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
|
||
}
|
||
.tags-input > * {
|
||
margin-left: 4px;
|
||
}
|
||
.cell-tag,
|
||
.tags-input input,
|
||
.tags-input button {
|
||
display: block;
|
||
width: 100%;
|
||
height: 32px;
|
||
padding: 6px 12px;
|
||
font-size: 13px;
|
||
line-height: 1.42857143;
|
||
color: #555555;
|
||
background-color: #fff;
|
||
background-image: none;
|
||
border: 1px solid #ccc;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
|
||
-webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
-o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
|
||
height: 30px;
|
||
padding: 5px 10px;
|
||
font-size: 12px;
|
||
line-height: 1.5;
|
||
border-radius: 1px;
|
||
box-shadow: none;
|
||
width: inherit;
|
||
font-size: inherit;
|
||
height: 22px;
|
||
line-height: 22px;
|
||
padding: 0px 4px;
|
||
display: inline-block;
|
||
}
|
||
.cell-tag:focus,
|
||
.tags-input input:focus,
|
||
.tags-input button:focus {
|
||
border-color: #66afe9;
|
||
outline: 0;
|
||
-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
|
||
box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
|
||
}
|
||
.cell-tag::-moz-placeholder,
|
||
.tags-input input::-moz-placeholder,
|
||
.tags-input button::-moz-placeholder {
|
||
color: #999;
|
||
opacity: 1;
|
||
}
|
||
.cell-tag:-ms-input-placeholder,
|
||
.tags-input input:-ms-input-placeholder,
|
||
.tags-input button:-ms-input-placeholder {
|
||
color: #999;
|
||
}
|
||
.cell-tag::-webkit-input-placeholder,
|
||
.tags-input input::-webkit-input-placeholder,
|
||
.tags-input button::-webkit-input-placeholder {
|
||
color: #999;
|
||
}
|
||
.cell-tag::-ms-expand,
|
||
.tags-input input::-ms-expand,
|
||
.tags-input button::-ms-expand {
|
||
border: 0;
|
||
background-color: transparent;
|
||
}
|
||
.cell-tag[disabled],
|
||
.tags-input input[disabled],
|
||
.tags-input button[disabled],
|
||
.cell-tag[readonly],
|
||
.tags-input input[readonly],
|
||
.tags-input button[readonly],
|
||
fieldset[disabled] .cell-tag,
|
||
fieldset[disabled] .tags-input input,
|
||
fieldset[disabled] .tags-input button {
|
||
background-color: #eeeeee;
|
||
opacity: 1;
|
||
}
|
||
.cell-tag[disabled],
|
||
.tags-input input[disabled],
|
||
.tags-input button[disabled],
|
||
fieldset[disabled] .cell-tag,
|
||
fieldset[disabled] .tags-input input,
|
||
fieldset[disabled] .tags-input button {
|
||
cursor: not-allowed;
|
||
}
|
||
textarea.cell-tag,
|
||
textarea.tags-input input,
|
||
textarea.tags-input button {
|
||
height: auto;
|
||
}
|
||
select.cell-tag,
|
||
select.tags-input input,
|
||
select.tags-input button {
|
||
height: 30px;
|
||
line-height: 30px;
|
||
}
|
||
textarea.cell-tag,
|
||
textarea.tags-input input,
|
||
textarea.tags-input button,
|
||
select[multiple].cell-tag,
|
||
select[multiple].tags-input input,
|
||
select[multiple].tags-input button {
|
||
height: auto;
|
||
}
|
||
.cell-tag,
|
||
.tags-input button {
|
||
padding: 0px 4px;
|
||
}
|
||
.cell-tag {
|
||
background-color: #fff;
|
||
white-space: nowrap;
|
||
}
|
||
.tags-input input[type=text]:focus {
|
||
outline: none;
|
||
box-shadow: none;
|
||
border-color: #ccc;
|
||
}
|
||
.completions {
|
||
position: absolute;
|
||
z-index: 110;
|
||
overflow: hidden;
|
||
border: 1px solid #ababab;
|
||
border-radius: 2px;
|
||
-webkit-box-shadow: 0px 6px 10px -1px #adadad;
|
||
box-shadow: 0px 6px 10px -1px #adadad;
|
||
line-height: 1;
|
||
}
|
||
.completions select {
|
||
background: white;
|
||
outline: none;
|
||
border: none;
|
||
padding: 0px;
|
||
margin: 0px;
|
||
overflow: auto;
|
||
font-family: monospace;
|
||
font-size: 110%;
|
||
color: #000;
|
||
width: auto;
|
||
}
|
||
.completions select option.context {
|
||
color: #286090;
|
||
}
|
||
#kernel_logo_widget .current_kernel_logo {
|
||
display: none;
|
||
margin-top: -1px;
|
||
margin-bottom: -1px;
|
||
width: 32px;
|
||
height: 32px;
|
||
}
|
||
[dir="rtl"] #kernel_logo_widget {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
.modal .modal-body .move-path {
|
||
display: flex;
|
||
flex-direction: row;
|
||
justify-content: space;
|
||
align-items: center;
|
||
}
|
||
.modal .modal-body .move-path .server-root {
|
||
padding-right: 20px;
|
||
}
|
||
.modal .modal-body .move-path .path-input {
|
||
flex: 1;
|
||
}
|
||
#menubar {
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
margin-top: 1px;
|
||
}
|
||
#menubar .navbar {
|
||
border-top: 1px;
|
||
border-radius: 0px 0px 2px 2px;
|
||
margin-bottom: 0px;
|
||
}
|
||
#menubar .navbar-toggle {
|
||
float: left;
|
||
padding-top: 7px;
|
||
padding-bottom: 7px;
|
||
border: none;
|
||
}
|
||
#menubar .navbar-collapse {
|
||
clear: left;
|
||
}
|
||
[dir="rtl"] #menubar .navbar-toggle {
|
||
float: right;
|
||
}
|
||
[dir="rtl"] #menubar .navbar-collapse {
|
||
clear: right;
|
||
}
|
||
[dir="rtl"] #menubar .navbar-nav {
|
||
float: right;
|
||
}
|
||
[dir="rtl"] #menubar .nav {
|
||
padding-right: 0px;
|
||
}
|
||
[dir="rtl"] #menubar .navbar-nav > li {
|
||
float: right;
|
||
}
|
||
[dir="rtl"] #menubar .navbar-right {
|
||
float: left !important;
|
||
}
|
||
[dir="rtl"] ul.dropdown-menu {
|
||
text-align: right;
|
||
left: auto;
|
||
}
|
||
[dir="rtl"] ul#new-menu.dropdown-menu {
|
||
right: auto;
|
||
left: 0;
|
||
}
|
||
.nav-wrapper {
|
||
border-bottom: 1px solid #e7e7e7;
|
||
}
|
||
i.menu-icon {
|
||
padding-top: 4px;
|
||
}
|
||
[dir="rtl"] i.menu-icon.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
ul#help_menu li a {
|
||
overflow: hidden;
|
||
padding-right: 2.2em;
|
||
}
|
||
ul#help_menu li a i {
|
||
margin-right: -1.2em;
|
||
}
|
||
[dir="rtl"] ul#help_menu li a {
|
||
padding-left: 2.2em;
|
||
}
|
||
[dir="rtl"] ul#help_menu li a i {
|
||
margin-right: 0;
|
||
margin-left: -1.2em;
|
||
}
|
||
[dir="rtl"] ul#help_menu li a i.pull-right {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
.dropdown-submenu {
|
||
position: relative;
|
||
}
|
||
.dropdown-submenu > .dropdown-menu {
|
||
top: 0;
|
||
left: 100%;
|
||
margin-top: -6px;
|
||
margin-left: -1px;
|
||
}
|
||
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
|
||
right: 100%;
|
||
margin-right: -1px;
|
||
}
|
||
.dropdown-submenu:hover > .dropdown-menu {
|
||
display: block;
|
||
}
|
||
.dropdown-submenu > a:after {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
display: block;
|
||
content: "\f0da";
|
||
float: right;
|
||
color: #333333;
|
||
margin-top: 2px;
|
||
margin-right: -10px;
|
||
}
|
||
.dropdown-submenu > a:after.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dropdown-submenu > a:after.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.dropdown-submenu > a:after.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.dropdown-submenu > a:after.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
[dir="rtl"] .dropdown-submenu > a:after {
|
||
float: left;
|
||
content: "\f0d9";
|
||
margin-right: 0;
|
||
margin-left: -10px;
|
||
}
|
||
.dropdown-submenu:hover > a:after {
|
||
color: #262626;
|
||
}
|
||
.dropdown-submenu.pull-left {
|
||
float: none;
|
||
}
|
||
.dropdown-submenu.pull-left > .dropdown-menu {
|
||
left: -100%;
|
||
margin-left: 10px;
|
||
}
|
||
#notification_area {
|
||
float: right !important;
|
||
float: right;
|
||
z-index: 10;
|
||
}
|
||
[dir="rtl"] #notification_area {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
.indicator_area {
|
||
float: right !important;
|
||
float: right;
|
||
color: #777;
|
||
margin-left: 5px;
|
||
margin-right: 5px;
|
||
width: 11px;
|
||
z-index: 10;
|
||
text-align: center;
|
||
width: auto;
|
||
}
|
||
[dir="rtl"] .indicator_area {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
#kernel_indicator {
|
||
float: right !important;
|
||
float: right;
|
||
color: #777;
|
||
margin-left: 5px;
|
||
margin-right: 5px;
|
||
width: 11px;
|
||
z-index: 10;
|
||
text-align: center;
|
||
width: auto;
|
||
border-left: 1px solid;
|
||
}
|
||
#kernel_indicator .kernel_indicator_name {
|
||
padding-left: 5px;
|
||
padding-right: 5px;
|
||
}
|
||
[dir="rtl"] #kernel_indicator {
|
||
float: left !important;
|
||
float: left;
|
||
border-left: 0;
|
||
border-right: 1px solid;
|
||
}
|
||
#modal_indicator {
|
||
float: right !important;
|
||
float: right;
|
||
color: #777;
|
||
margin-left: 5px;
|
||
margin-right: 5px;
|
||
width: 11px;
|
||
z-index: 10;
|
||
text-align: center;
|
||
width: auto;
|
||
}
|
||
[dir="rtl"] #modal_indicator {
|
||
float: left !important;
|
||
float: left;
|
||
}
|
||
#readonly-indicator {
|
||
float: right !important;
|
||
float: right;
|
||
color: #777;
|
||
margin-left: 5px;
|
||
margin-right: 5px;
|
||
width: 11px;
|
||
z-index: 10;
|
||
text-align: center;
|
||
width: auto;
|
||
margin-top: 2px;
|
||
margin-bottom: 0px;
|
||
margin-left: 0px;
|
||
margin-right: 0px;
|
||
display: none;
|
||
}
|
||
.modal_indicator:before {
|
||
width: 1.28571429em;
|
||
text-align: center;
|
||
}
|
||
.edit_mode .modal_indicator:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f040";
|
||
}
|
||
.edit_mode .modal_indicator:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.edit_mode .modal_indicator:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.edit_mode .modal_indicator:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.edit_mode .modal_indicator:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.command_mode .modal_indicator:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: ' ';
|
||
}
|
||
.command_mode .modal_indicator:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.command_mode .modal_indicator:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.command_mode .modal_indicator:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.command_mode .modal_indicator:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.kernel_idle_icon:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f10c";
|
||
}
|
||
.kernel_idle_icon:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.kernel_idle_icon:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.kernel_idle_icon:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.kernel_idle_icon:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.kernel_busy_icon:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f111";
|
||
}
|
||
.kernel_busy_icon:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.kernel_busy_icon:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.kernel_busy_icon:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.kernel_busy_icon:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.kernel_dead_icon:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f1e2";
|
||
}
|
||
.kernel_dead_icon:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.kernel_dead_icon:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.kernel_dead_icon:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.kernel_dead_icon:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.kernel_disconnected_icon:before {
|
||
display: inline-block;
|
||
font: normal normal normal 14px/1 FontAwesome;
|
||
font-size: inherit;
|
||
text-rendering: auto;
|
||
-webkit-font-smoothing: antialiased;
|
||
-moz-osx-font-smoothing: grayscale;
|
||
content: "\f127";
|
||
}
|
||
.kernel_disconnected_icon:before.fa-pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.kernel_disconnected_icon:before.fa-pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.kernel_disconnected_icon:before.pull-left {
|
||
margin-right: .3em;
|
||
}
|
||
.kernel_disconnected_icon:before.pull-right {
|
||
margin-left: .3em;
|
||
}
|
||
.notification_widget {
|
||
color: #777;
|
||
z-index: 10;
|
||
background: rgba(240, 240, 240, 0.5);
|
||
margin-right: 4px;
|
||
color: #333;
|
||
background-color: #fff;
|
||
border-color: #ccc;
|
||
}
|
||
.notification_widget:focus,
|
||
.notification_widget.focus {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #8c8c8c;
|
||
}
|
||
.notification_widget:hover {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #adadad;
|
||
}
|
||
.notification_widget:active,
|
||
.notification_widget.active,
|
||
.open > .dropdown-toggle.notification_widget {
|
||
color: #333;
|
||
background-color: #e6e6e6;
|
||
border-color: #adadad;
|
||
}
|
||
.notification_widget:active:hover,
|
||
.notification_widget.active:hover,
|
||
.open > .dropdown-toggle.notification_widget:hover,
|
||
.notification_widget:active:focus,
|
||
.notification_widget.active:focus,
|
||
.open > .dropdown-toggle.notification_widget:focus,
|
||
.notification_widget:active.focus,
|
||
.notification_widget.active.focus,
|
||
.open > .dropdown-toggle.notification_widget.focus {
|
||
color: #333;
|
||
background-color: #d4d4d4;
|
||
border-color: #8c8c8c;
|
||
}
|
||
.notification_widget:active,
|
||
.notification_widget.active,
|
||
.open > .dropdown-toggle.notification_widget {
|
||
background-image: none;
|
||
}
|
||
.notification_widget.disabled:hover,
|
||
.notification_widget[disabled]:hover,
|
||
fieldset[disabled] .notification_widget:hover,
|
||
.notification_widget.disabled:focus,
|
||
.notification_widget[disabled]:focus,
|
||
fieldset[disabled] .notification_widget:focus,
|
||
.notification_widget.disabled.focus,
|
||
.notification_widget[disabled].focus,
|
||
fieldset[disabled] .notification_widget.focus {
|
||
background-color: #fff;
|
||
border-color: #ccc;
|
||
}
|
||
.notification_widget .badge {
|
||
color: #fff;
|
||
background-color: #333;
|
||
}
|
||
.notification_widget.warning {
|
||
color: #fff;
|
||
background-color: #f0ad4e;
|
||
border-color: #eea236;
|
||
}
|
||
.notification_widget.warning:focus,
|
||
.notification_widget.warning.focus {
|
||
color: #fff;
|
||
background-color: #ec971f;
|
||
border-color: #985f0d;
|
||
}
|
||
.notification_widget.warning:hover {
|
||
color: #fff;
|
||
background-color: #ec971f;
|
||
border-color: #d58512;
|
||
}
|
||
.notification_widget.warning:active,
|
||
.notification_widget.warning.active,
|
||
.open > .dropdown-toggle.notification_widget.warning {
|
||
color: #fff;
|
||
background-color: #ec971f;
|
||
border-color: #d58512;
|
||
}
|
||
.notification_widget.warning:active:hover,
|
||
.notification_widget.warning.active:hover,
|
||
.open > .dropdown-toggle.notification_widget.warning:hover,
|
||
.notification_widget.warning:active:focus,
|
||
.notification_widget.warning.active:focus,
|
||
.open > .dropdown-toggle.notification_widget.warning:focus,
|
||
.notification_widget.warning:active.focus,
|
||
.notification_widget.warning.active.focus,
|
||
.open > .dropdown-toggle.notification_widget.warning.focus {
|
||
color: #fff;
|
||
background-color: #d58512;
|
||
border-color: #985f0d;
|
||
}
|
||
.notification_widget.warning:active,
|
||
.notification_widget.warning.active,
|
||
.open > .dropdown-toggle.notification_widget.warning {
|
||
background-image: none;
|
||
}
|
||
.notification_widget.warning.disabled:hover,
|
||
.notification_widget.warning[disabled]:hover,
|
||
fieldset[disabled] .notification_widget.warning:hover,
|
||
.notification_widget.warning.disabled:focus,
|
||
.notification_widget.warning[disabled]:focus,
|
||
fieldset[disabled] .notification_widget.warning:focus,
|
||
.notification_widget.warning.disabled.focus,
|
||
.notification_widget.warning[disabled].focus,
|
||
fieldset[disabled] .notification_widget.warning.focus {
|
||
background-color: #f0ad4e;
|
||
border-color: #eea236;
|
||
}
|
||
.notification_widget.warning .badge {
|
||
color: #f0ad4e;
|
||
background-color: #fff;
|
||
}
|
||
.notification_widget.success {
|
||
color: #fff;
|
||
background-color: #5cb85c;
|
||
border-color: #4cae4c;
|
||
}
|
||
.notification_widget.success:focus,
|
||
.notification_widget.success.focus {
|
||
color: #fff;
|
||
background-color: #449d44;
|
||
border-color: #255625;
|
||
}
|
||
.notification_widget.success:hover {
|
||
color: #fff;
|
||
background-color: #449d44;
|
||
border-color: #398439;
|
||
}
|
||
.notification_widget.success:active,
|
||
.notification_widget.success.active,
|
||
.open > .dropdown-toggle.notification_widget.success {
|
||
color: #fff;
|
||
background-color: #449d44;
|
||
border-color: #398439;
|
||
}
|
||
.notification_widget.success:active:hover,
|
||
.notification_widget.success.active:hover,
|
||
.open > .dropdown-toggle.notification_widget.success:hover,
|
||
.notification_widget.success:active:focus,
|
||
.notification_widget.success.active:focus,
|
||
.open > .dropdown-toggle.notification_widget.success:focus,
|
||
.notification_widget.success:active.focus,
|
||
.notification_widget.success.active.focus,
|
||
.open > .dropdown-toggle.notification_widget.success.focus {
|
||
color: #fff;
|
||
background-color: #398439;
|
||
border-color: #255625;
|
||
}
|
||
.notification_widget.success:active,
|
||
.notification_widget.success.active,
|
||
.open > .dropdown-toggle.notification_widget.success {
|
||
background-image: none;
|
||
}
|
||
.notification_widget.success.disabled:hover,
|
||
.notification_widget.success[disabled]:hover,
|
||
fieldset[disabled] .notification_widget.success:hover,
|
||
.notification_widget.success.disabled:focus,
|
||
.notification_widget.success[disabled]:focus,
|
||
fieldset[disabled] .notification_widget.success:focus,
|
||
.notification_widget.success.disabled.focus,
|
||
.notification_widget.success[disabled].focus,
|
||
fieldset[disabled] .notification_widget.success.focus {
|
||
background-color: #5cb85c;
|
||
border-color: #4cae4c;
|
||
}
|
||
.notification_widget.success .badge {
|
||
color: #5cb85c;
|
||
background-color: #fff;
|
||
}
|
||
.notification_widget.info {
|
||
color: #fff;
|
||
background-color: #5bc0de;
|
||
border-color: #46b8da;
|
||
}
|
||
.notification_widget.info:focus,
|
||
.notification_widget.info.focus {
|
||
color: #fff;
|
||
background-color: #31b0d5;
|
||
border-color: #1b6d85;
|
||
}
|
||
.notification_widget.info:hover {
|
||
color: #fff;
|
||
background-color: #31b0d5;
|
||
border-color: #269abc;
|
||
}
|
||
.notification_widget.info:active,
|
||
.notification_widget.info.active,
|
||
.open > .dropdown-toggle.notification_widget.info {
|
||
color: #fff;
|
||
background-color: #31b0d5;
|
||
border-color: #269abc;
|
||
}
|
||
.notification_widget.info:active:hover,
|
||
.notification_widget.info.active:hover,
|
||
.open > .dropdown-toggle.notification_widget.info:hover,
|
||
.notification_widget.info:active:focus,
|
||
.notification_widget.info.active:focus,
|
||
.open > .dropdown-toggle.notification_widget.info:focus,
|
||
.notification_widget.info:active.focus,
|
||
.notification_widget.info.active.focus,
|
||
.open > .dropdown-toggle.notification_widget.info.focus {
|
||
color: #fff;
|
||
background-color: #269abc;
|
||
border-color: #1b6d85;
|
||
}
|
||
.notification_widget.info:active,
|
||
.notification_widget.info.active,
|
||
.open > .dropdown-toggle.notification_widget.info {
|
||
background-image: none;
|
||
}
|
||
.notification_widget.info.disabled:hover,
|
||
.notification_widget.info[disabled]:hover,
|
||
fieldset[disabled] .notification_widget.info:hover,
|
||
.notification_widget.info.disabled:focus,
|
||
.notification_widget.info[disabled]:focus,
|
||
fieldset[disabled] .notification_widget.info:focus,
|
||
.notification_widget.info.disabled.focus,
|
||
.notification_widget.info[disabled].focus,
|
||
fieldset[disabled] .notification_widget.info.focus {
|
||
background-color: #5bc0de;
|
||
border-color: #46b8da;
|
||
}
|
||
.notification_widget.info .badge {
|
||
color: #5bc0de;
|
||
background-color: #fff;
|
||
}
|
||
.notification_widget.danger {
|
||
color: #fff;
|
||
background-color: #d9534f;
|
||
border-color: #d43f3a;
|
||
}
|
||
.notification_widget.danger:focus,
|
||
.notification_widget.danger.focus {
|
||
color: #fff;
|
||
background-color: #c9302c;
|
||
border-color: #761c19;
|
||
}
|
||
.notification_widget.danger:hover {
|
||
color: #fff;
|
||
background-color: #c9302c;
|
||
border-color: #ac2925;
|
||
}
|
||
.notification_widget.danger:active,
|
||
.notification_widget.danger.active,
|
||
.open > .dropdown-toggle.notification_widget.danger {
|
||
color: #fff;
|
||
background-color: #c9302c;
|
||
border-color: #ac2925;
|
||
}
|
||
.notification_widget.danger:active:hover,
|
||
.notification_widget.danger.active:hover,
|
||
.open > .dropdown-toggle.notification_widget.danger:hover,
|
||
.notification_widget.danger:active:focus,
|
||
.notification_widget.danger.active:focus,
|
||
.open > .dropdown-toggle.notification_widget.danger:focus,
|
||
.notification_widget.danger:active.focus,
|
||
.notification_widget.danger.active.focus,
|
||
.open > .dropdown-toggle.notification_widget.danger.focus {
|
||
color: #fff;
|
||
background-color: #ac2925;
|
||
border-color: #761c19;
|
||
}
|
||
.notification_widget.danger:active,
|
||
.notification_widget.danger.active,
|
||
.open > .dropdown-toggle.notification_widget.danger {
|
||
background-image: none;
|
||
}
|
||
.notification_widget.danger.disabled:hover,
|
||
.notification_widget.danger[disabled]:hover,
|
||
fieldset[disabled] .notification_widget.danger:hover,
|
||
.notification_widget.danger.disabled:focus,
|
||
.notification_widget.danger[disabled]:focus,
|
||
fieldset[disabled] .notification_widget.danger:focus,
|
||
.notification_widget.danger.disabled.focus,
|
||
.notification_widget.danger[disabled].focus,
|
||
fieldset[disabled] .notification_widget.danger.focus {
|
||
background-color: #d9534f;
|
||
border-color: #d43f3a;
|
||
}
|
||
.notification_widget.danger .badge {
|
||
color: #d9534f;
|
||
background-color: #fff;
|
||
}
|
||
div#pager {
|
||
background-color: #fff;
|
||
font-size: 14px;
|
||
line-height: 20px;
|
||
overflow: hidden;
|
||
display: none;
|
||
position: fixed;
|
||
bottom: 0px;
|
||
width: 100%;
|
||
max-height: 50%;
|
||
padding-top: 8px;
|
||
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
|
||
/* Display over codemirror */
|
||
z-index: 100;
|
||
/* Hack which prevents jquery ui resizable from changing top. */
|
||
top: auto !important;
|
||
}
|
||
div#pager pre {
|
||
line-height: 1.21429em;
|
||
color: #000;
|
||
background-color: #f7f7f7;
|
||
padding: 0.4em;
|
||
}
|
||
div#pager #pager-button-area {
|
||
position: absolute;
|
||
top: 8px;
|
||
right: 20px;
|
||
}
|
||
div#pager #pager-contents {
|
||
position: relative;
|
||
overflow: auto;
|
||
width: 100%;
|
||
height: 100%;
|
||
}
|
||
div#pager #pager-contents #pager-container {
|
||
position: relative;
|
||
padding: 15px 0px;
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
}
|
||
div#pager .ui-resizable-handle {
|
||
top: 0px;
|
||
height: 8px;
|
||
background: #f7f7f7;
|
||
border-top: 1px solid #cfcfcf;
|
||
border-bottom: 1px solid #cfcfcf;
|
||
/* This injects handle bars (a short, wide = symbol) for
|
||
the resize handle. */
|
||
}
|
||
div#pager .ui-resizable-handle::after {
|
||
content: '';
|
||
top: 2px;
|
||
left: 50%;
|
||
height: 3px;
|
||
width: 30px;
|
||
margin-left: -15px;
|
||
position: absolute;
|
||
border-top: 1px solid #cfcfcf;
|
||
}
|
||
.quickhelp {
|
||
/* Old browsers */
|
||
display: -webkit-box;
|
||
-webkit-box-orient: horizontal;
|
||
-webkit-box-align: stretch;
|
||
display: -moz-box;
|
||
-moz-box-orient: horizontal;
|
||
-moz-box-align: stretch;
|
||
display: box;
|
||
box-orient: horizontal;
|
||
box-align: stretch;
|
||
/* Modern browsers */
|
||
display: flex;
|
||
flex-direction: row;
|
||
align-items: stretch;
|
||
line-height: 1.8em;
|
||
}
|
||
.shortcut_key {
|
||
display: inline-block;
|
||
width: 21ex;
|
||
text-align: right;
|
||
font-family: monospace;
|
||
}
|
||
.shortcut_descr {
|
||
display: inline-block;
|
||
/* Old browsers */
|
||
-webkit-box-flex: 1;
|
||
-moz-box-flex: 1;
|
||
box-flex: 1;
|
||
/* Modern browsers */
|
||
flex: 1;
|
||
}
|
||
span.save_widget {
|
||
height: 30px;
|
||
margin-top: 4px;
|
||
display: flex;
|
||
justify-content: flex-start;
|
||
align-items: baseline;
|
||
width: 50%;
|
||
flex: 1;
|
||
}
|
||
span.save_widget span.filename {
|
||
height: 100%;
|
||
line-height: 1em;
|
||
margin-left: 16px;
|
||
border: none;
|
||
font-size: 146.5%;
|
||
text-overflow: ellipsis;
|
||
overflow: hidden;
|
||
white-space: nowrap;
|
||
border-radius: 2px;
|
||
}
|
||
span.save_widget span.filename:hover {
|
||
background-color: #e6e6e6;
|
||
}
|
||
[dir="rtl"] span.save_widget.pull-left {
|
||
float: right !important;
|
||
float: right;
|
||
}
|
||
[dir="rtl"] span.save_widget span.filename {
|
||
margin-left: 0;
|
||
margin-right: 16px;
|
||
}
|
||
span.checkpoint_status,
|
||
span.autosave_status {
|
||
font-size: small;
|
||
white-space: nowrap;
|
||
padding: 0 5px;
|
||
}
|
||
@media (max-width: 767px) {
|
||
span.save_widget {
|
||
font-size: small;
|
||
padding: 0 0 0 5px;
|
||
}
|
||
span.checkpoint_status,
|
||
span.autosave_status {
|
||
display: none;
|
||
}
|
||
}
|
||
@media (min-width: 768px) and (max-width: 991px) {
|
||
span.checkpoint_status {
|
||
display: none;
|
||
}
|
||
span.autosave_status {
|
||
font-size: x-small;
|
||
}
|
||
}
|
||
.toolbar {
|
||
padding: 0px;
|
||
margin-left: -5px;
|
||
margin-top: 2px;
|
||
margin-bottom: 5px;
|
||
box-sizing: border-box;
|
||
-moz-box-sizing: border-box;
|
||
-webkit-box-sizing: border-box;
|
||
}
|
||
.toolbar select,
|
||
.toolbar label {
|
||
width: auto;
|
||
vertical-align: middle;
|
||
margin-right: 2px;
|
||
margin-bottom: 0px;
|
||
display: inline;
|
||
font-size: 92%;
|
||
margin-left: 0.3em;
|
||
margin-right: 0.3em;
|
||
padding: 0px;
|
||
padding-top: 3px;
|
||
}
|
||
.toolbar .btn {
|
||
padding: 2px 8px;
|
||
}
|
||
.toolbar .btn-group {
|
||
margin-top: 0px;
|
||
margin-left: 5px;
|
||
}
|
||
.toolbar-btn-label {
|
||
margin-left: 6px;
|
||
}
|
||
#maintoolbar {
|
||
margin-bottom: -3px;
|
||
margin-top: -8px;
|
||
border: 0px;
|
||
min-height: 27px;
|
||
margin-left: 0px;
|
||
padding-top: 11px;
|
||
padding-bottom: 3px;
|
||
}
|
||
#maintoolbar .navbar-text {
|
||
float: none;
|
||
vertical-align: middle;
|
||
text-align: right;
|
||
margin-left: 5px;
|
||
margin-right: 0px;
|
||
margin-top: 0px;
|
||
}
|
||
.select-xs {
|
||
height: 24px;
|
||
}
|
||
[dir="rtl"] .btn-group > .btn,
|
||
.btn-group-vertical > .btn {
|
||
float: right;
|
||
}
|
||
.pulse,
|
||
.dropdown-menu > li > a.pulse,
|
||
li.pulse > a.dropdown-toggle,
|
||
li.pulse.open > a.dropdown-toggle {
|
||
background-color: #F37626;
|
||
color: white;
|
||
}
|
||
/**
|
||
* Primary styles
|
||
*
|
||
* Author: Jupyter Development Team
|
||
*/
|
||
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
|
||
* of chance of beeing generated from the ../less/[samename].less file, you can
|
||
* try to get back the less file by reverting somme commit in history
|
||
**/
|
||
/*
|
||
* We'll try to get something pretty, so we
|
||
* have some strange css to have the scroll bar on
|
||
* the left with fix button on the top right of the tooltip
|
||
*/
|
||
@-moz-keyframes fadeOut {
|
||
from {
|
||
opacity: 1;
|
||
}
|
||
to {
|
||
opacity: 0;
|
||
}
|
||
}
|
||
@-webkit-keyframes fadeOut {
|
||
from {
|
||
opacity: 1;
|
||
}
|
||
to {
|
||
opacity: 0;
|
||
}
|
||
}
|
||
@-moz-keyframes fadeIn {
|
||
from {
|
||
opacity: 0;
|
||
}
|
||
to {
|
||
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|
||
}
|
||
}
|
||
@-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;
|
||
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|
||
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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 */
|
||
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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 .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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|
||
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|
||
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|
||
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|
||
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
|
||
.highlight .no { color: #880000 } /* Name.Constant */
|
||
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|
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|
||
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
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||
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|
||
.highlight .nl { color: #A0A000 } /* Name.Label */
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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 .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 [1]:</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 [2]:</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>19:21:26 [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 [3]:</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 [4]:</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[4]:</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>0.397921</td>
|
||
<td>0.676486</td>
|
||
<td>-0.459487</td>
|
||
<td>0.078474</td>
|
||
<td>0.965845</td>
|
||
<td>0.309723</td>
|
||
<td>5.788704</td>
|
||
<td>0.043321</td>
|
||
<td>0.624971</td>
|
||
<td>22.067900</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>0.146481</td>
|
||
<td>0.277121</td>
|
||
<td>-0.615405</td>
|
||
<td>0.311180</td>
|
||
<td>0.191375</td>
|
||
<td>0.032266</td>
|
||
<td>1.821598</td>
|
||
<td>0.014624</td>
|
||
<td>0.753333</td>
|
||
<td>0.000000</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>0.373466</td>
|
||
<td>0.658748</td>
|
||
<td>-0.527711</td>
|
||
<td>0.131660</td>
|
||
<td>3.833587</td>
|
||
<td>0.336590</td>
|
||
<td>4.407614</td>
|
||
<td>0.121115</td>
|
||
<td>0.542877</td>
|
||
<td>27.758541</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>0.097464</td>
|
||
<td>0.196189</td>
|
||
<td>-0.641543</td>
|
||
<td>0.274989</td>
|
||
<td>0.153740</td>
|
||
<td>0.068626</td>
|
||
<td>6.128601</td>
|
||
<td>0.099223</td>
|
||
<td>0.484916</td>
|
||
<td>11.309932</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>0.248036</td>
|
||
<td>0.461250</td>
|
||
<td>-0.085292</td>
|
||
<td>0.198676</td>
|
||
<td>0.526720</td>
|
||
<td>0.033667</td>
|
||
<td>1.602362</td>
|
||
<td>0.051825</td>
|
||
<td>0.646571</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 [5]:</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[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>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 [6]:</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[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>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>0.043321</td>
|
||
<td>0.624971</td>
|
||
<td>22.067900</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>0.445206</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>0.014624</td>
|
||
<td>0.753333</td>
|
||
<td>0.000000</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>0.097485</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>0.121115</td>
|
||
<td>0.542877</td>
|
||
<td>27.758541</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>0.393687</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>0.099223</td>
|
||
<td>0.484916</td>
|
||
<td>11.309932</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>0.262612</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>0.051825</td>
|
||
<td>0.646571</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>0.133677</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 [7]:</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[7]:</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="s1">'gridness > gridness_threshold and information_rate > information_rate_threshold'</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 gridcells"</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 gridcells 225
|
||
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="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 76
|
||
Number of gridcells in stimulated 11Hz ms sessions 68
|
||
Number of gridcells in baseline ii sessions 64
|
||
Number of gridcells in stimulated 30Hz ms sessions 52
|
||
</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 [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">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 [14]:</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 70
|
||
Number of gridcells in stimulated 11Hz ms sessions 65
|
||
Number of gridcells in baseline ii sessions 61
|
||
Number of gridcells in stimulated 30Hz ms sessions 49
|
||
</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 [15]:</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 [16]:</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[16]:</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>10.046219</td>
|
||
<td>0.537204</td>
|
||
<td>0.656641</td>
|
||
<td>5.347833</td>
|
||
<td>0.205817</td>
|
||
<td>37.735779</td>
|
||
<td>1.175931</td>
|
||
<td>2.344483</td>
|
||
<td>15.790391</td>
|
||
<td>7.405761</td>
|
||
<td>0.219892</td>
|
||
<td>0.445701</td>
|
||
<td>0.132422</td>
|
||
</tr>
|
||
<tr>
|
||
<th>True</th>
|
||
<td>9.814609</td>
|
||
<td>0.433530</td>
|
||
<td>0.692547</td>
|
||
<td>5.280295</td>
|
||
<td>0.182564</td>
|
||
<td>34.650917</td>
|
||
<td>0.933478</td>
|
||
<td>2.247505</td>
|
||
<td>14.455320</td>
|
||
<td>7.429762</td>
|
||
<td>0.213281</td>
|
||
<td>0.419822</td>
|
||
<td>0.111848</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 [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">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[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>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>count</th>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
<td>147.000000</td>
|
||
</tr>
|
||
<tr>
|
||
<th>mean</th>
|
||
<td>10.046219</td>
|
||
<td>0.537204</td>
|
||
<td>0.656641</td>
|
||
<td>5.347833</td>
|
||
<td>0.205817</td>
|
||
<td>37.735779</td>
|
||
<td>1.175931</td>
|
||
<td>2.344483</td>
|
||
<td>15.790391</td>
|
||
<td>7.405761</td>
|
||
<td>0.219892</td>
|
||
<td>0.445701</td>
|
||
<td>0.132422</td>
|
||
</tr>
|
||
<tr>
|
||
<th>std</th>
|
||
<td>7.913344</td>
|
||
<td>0.372942</td>
|
||
<td>0.190573</td>
|
||
<td>2.938819</td>
|
||
<td>0.192815</td>
|
||
<td>16.976912</td>
|
||
<td>0.582747</td>
|
||
<td>0.748791</td>
|
||
<td>9.952409</td>
|
||
<td>6.971963</td>
|
||
<td>0.083408</td>
|
||
<td>0.211635</td>
|
||
<td>0.075334</td>
|
||
</tr>
|
||
<tr>
|
||
<th>min</th>
|
||
<td>0.516375</td>
|
||
<td>-0.599569</td>
|
||
<td>0.220235</td>
|
||
<td>1.762785</td>
|
||
<td>0.005947</td>
|
||
<td>3.013150</td>
|
||
<td>0.102101</td>
|
||
<td>1.067244</td>
|
||
<td>0.993877</td>
|
||
<td>0.185332</td>
|
||
<td>0.027228</td>
|
||
<td>0.072063</td>
|
||
<td>-0.023795</td>
|
||
</tr>
|
||
<tr>
|
||
<th>25%</th>
|
||
<td>3.811514</td>
|
||
<td>0.324174</td>
|
||
<td>0.515183</td>
|
||
<td>3.107181</td>
|
||
<td>0.071747</td>
|
||
<td>25.148584</td>
|
||
<td>0.737153</td>
|
||
<td>1.749688</td>
|
||
<td>7.628858</td>
|
||
<td>1.800796</td>
|
||
<td>0.162830</td>
|
||
<td>0.289405</td>
|
||
<td>0.078827</td>
|
||
</tr>
|
||
<tr>
|
||
<th>50%</th>
|
||
<td>7.129568</td>
|
||
<td>0.579600</td>
|
||
<td>0.698596</td>
|
||
<td>4.675862</td>
|
||
<td>0.141391</td>
|
||
<td>34.348592</td>
|
||
<td>1.055340</td>
|
||
<td>2.173263</td>
|
||
<td>13.000207</td>
|
||
<td>4.835608</td>
|
||
<td>0.213831</td>
|
||
<td>0.390758</td>
|
||
<td>0.124640</td>
|
||
</tr>
|
||
<tr>
|
||
<th>75%</th>
|
||
<td>15.685084</td>
|
||
<td>0.798542</td>
|
||
<td>0.823981</td>
|
||
<td>6.646175</td>
|
||
<td>0.265521</td>
|
||
<td>47.346567</td>
|
||
<td>1.570106</td>
|
||
<td>2.691555</td>
|
||
<td>22.415152</td>
|
||
<td>10.981344</td>
|
||
<td>0.282480</td>
|
||
<td>0.572782</td>
|
||
<td>0.183005</td>
|
||
</tr>
|
||
<tr>
|
||
<th>max</th>
|
||
<td>35.560173</td>
|
||
<td>1.174288</td>
|
||
<td>0.980148</td>
|
||
<td>17.011330</td>
|
||
<td>1.202862</td>
|
||
<td>90.839266</td>
|
||
<td>3.540663</td>
|
||
<td>5.240845</td>
|
||
<td>45.349506</td>
|
||
<td>32.997789</td>
|
||
<td>0.400014</td>
|
||
<td>0.975050</td>
|
||
<td>0.333463</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="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[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>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
<td>124.000000</td>
|
||
</tr>
|
||
<tr>
|
||
<th>mean</th>
|
||
<td>9.814609</td>
|
||
<td>0.433530</td>
|
||
<td>0.692547</td>
|
||
<td>5.280295</td>
|
||
<td>0.182564</td>
|
||
<td>34.650917</td>
|
||
<td>0.933478</td>
|
||
<td>2.247505</td>
|
||
<td>14.455320</td>
|
||
<td>7.429762</td>
|
||
<td>0.213281</td>
|
||
<td>0.419822</td>
|
||
<td>0.111848</td>
|
||
</tr>
|
||
<tr>
|
||
<th>std</th>
|
||
<td>7.676536</td>
|
||
<td>0.387343</td>
|
||
<td>0.197445</td>
|
||
<td>3.520949</td>
|
||
<td>0.208775</td>
|
||
<td>14.511629</td>
|
||
<td>0.492383</td>
|
||
<td>0.750923</td>
|
||
<td>8.796338</td>
|
||
<td>6.881408</td>
|
||
<td>0.077978</td>
|
||
<td>0.231655</td>
|
||
<td>0.076247</td>
|
||
</tr>
|
||
<tr>
|
||
<th>min</th>
|
||
<td>0.571675</td>
|
||
<td>-0.509346</td>
|
||
<td>0.161197</td>
|
||
<td>1.502176</td>
|
||
<td>0.005851</td>
|
||
<td>8.703201</td>
|
||
<td>0.096607</td>
|
||
<td>1.060662</td>
|
||
<td>2.327366</td>
|
||
<td>0.212979</td>
|
||
<td>0.041561</td>
|
||
<td>0.075519</td>
|
||
<td>-0.073931</td>
|
||
</tr>
|
||
<tr>
|
||
<th>25%</th>
|
||
<td>3.835569</td>
|
||
<td>0.194332</td>
|
||
<td>0.552817</td>
|
||
<td>2.819310</td>
|
||
<td>0.062615</td>
|
||
<td>24.286536</td>
|
||
<td>0.552133</td>
|
||
<td>1.671374</td>
|
||
<td>8.097415</td>
|
||
<td>2.038374</td>
|
||
<td>0.160874</td>
|
||
<td>0.243125</td>
|
||
<td>0.065039</td>
|
||
</tr>
|
||
<tr>
|
||
<th>50%</th>
|
||
<td>7.690325</td>
|
||
<td>0.413583</td>
|
||
<td>0.733832</td>
|
||
<td>4.446917</td>
|
||
<td>0.109036</td>
|
||
<td>32.040628</td>
|
||
<td>0.879876</td>
|
||
<td>2.098479</td>
|
||
<td>12.325347</td>
|
||
<td>5.718993</td>
|
||
<td>0.204469</td>
|
||
<td>0.361016</td>
|
||
<td>0.105714</td>
|
||
</tr>
|
||
<tr>
|
||
<th>75%</th>
|
||
<td>14.035706</td>
|
||
<td>0.723850</td>
|
||
<td>0.861439</td>
|
||
<td>6.438574</td>
|
||
<td>0.219362</td>
|
||
<td>42.320860</td>
|
||
<td>1.196084</td>
|
||
<td>2.651945</td>
|
||
<td>19.237536</td>
|
||
<td>10.972856</td>
|
||
<td>0.266557</td>
|
||
<td>0.561412</td>
|
||
<td>0.159393</td>
|
||
</tr>
|
||
<tr>
|
||
<th>max</th>
|
||
<td>34.844930</td>
|
||
<td>1.230658</td>
|
||
<td>0.983263</td>
|
||
<td>25.599598</td>
|
||
<td>1.296616</td>
|
||
<td>76.146357</td>
|
||
<td>2.918984</td>
|
||
<td>5.324055</td>
|
||
<td>42.803943</td>
|
||
<td>31.519482</td>
|
||
<td>0.406678</td>
|
||
<td>1.077313</td>
|
||
<td>0.349283</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 [49]:</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'</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'</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[49]:</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</th>
|
||
<th>Stimulated</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>10.05 ± 0.65 (147)</td>
|
||
<td>9.81 ± 0.69 (124)</td>
|
||
<td>9040.00, 0.909</td>
|
||
<td>0.56, 0.717</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.54 ± 0.03 (147)</td>
|
||
<td>0.43 ± 0.03 (124)</td>
|
||
<td>7516.00, 0.013</td>
|
||
<td>0.17, 0.004</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.66 ± 0.02 (147)</td>
|
||
<td>0.69 ± 0.02 (124)</td>
|
||
<td>10275.00, 0.071</td>
|
||
<td>0.04, 0.161</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.35 ± 0.24 (147)</td>
|
||
<td>5.28 ± 0.32 (124)</td>
|
||
<td>8488.00, 0.330</td>
|
||
<td>0.23, 0.450</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.21 ± 0.02 (147)</td>
|
||
<td>0.18 ± 0.02 (124)</td>
|
||
<td>7883.00, 0.056</td>
|
||
<td>0.03, 0.103</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>37.74 ± 1.40 (147)</td>
|
||
<td>34.65 ± 1.30 (124)</td>
|
||
<td>8165.00, 0.140</td>
|
||
<td>2.31, 0.108</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.18 ± 0.05 (147)</td>
|
||
<td>0.93 ± 0.04 (124)</td>
|
||
<td>6772.00, 0.000</td>
|
||
<td>0.18, 0.008</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.34 ± 0.06 (147)</td>
|
||
<td>2.25 ± 0.07 (124)</td>
|
||
<td>8361.00, 0.242</td>
|
||
<td>0.07, 0.500</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>15.79 ± 0.82 (147)</td>
|
||
<td>14.46 ± 0.79 (124)</td>
|
||
<td>8526.00, 0.361</td>
|
||
<td>0.67, 0.638</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>7.41 ± 0.58 (147)</td>
|
||
<td>7.43 ± 0.62 (124)</td>
|
||
<td>9193.00, 0.903</td>
|
||
<td>0.88, 0.456</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.22 ± 0.01 (147)</td>
|
||
<td>0.21 ± 0.01 (124)</td>
|
||
<td>8548.00, 0.379</td>
|
||
<td>0.01, 0.370</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.45 ± 0.02 (147)</td>
|
||
<td>0.42 ± 0.02 (124)</td>
|
||
<td>8221.00, 0.165</td>
|
||
<td>0.03, 0.167</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.13 ± 0.01 (147)</td>
|
||
<td>0.11 ± 0.01 (124)</td>
|
||
<td>7793.00, 0.040</td>
|
||
<td>0.02, 0.046</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 [47]:</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'</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[47]:</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</th>
|
||
<th>11 Hz</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>9.82 ± 0.91 (70)</td>
|
||
<td>9.28 ± 0.90 (65)</td>
|
||
<td>2175.00, 0.661</td>
|
||
<td>0.18, 0.933</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.54 ± 0.05 (70)</td>
|
||
<td>0.42 ± 0.05 (65)</td>
|
||
<td>1822.00, 0.046</td>
|
||
<td>0.17, 0.052</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.65 ± 0.02 (70)</td>
|
||
<td>0.69 ± 0.02 (65)</td>
|
||
<td>2578.00, 0.183</td>
|
||
<td>0.06, 0.147</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.25 ± 0.35 (70)</td>
|
||
<td>5.43 ± 0.48 (65)</td>
|
||
<td>2214.00, 0.790</td>
|
||
<td>0.05, 0.961</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.22 ± 0.03 (70)</td>
|
||
<td>0.19 ± 0.03 (65)</td>
|
||
<td>1888.00, 0.089</td>
|
||
<td>0.05, 0.020</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>36.77 ± 1.96 (70)</td>
|
||
<td>33.16 ± 1.79 (65)</td>
|
||
<td>1971.00, 0.181</td>
|
||
<td>3.18, 0.250</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.22 ± 0.06 (70)</td>
|
||
<td>0.89 ± 0.06 (65)</td>
|
||
<td>1431.00, 0.000</td>
|
||
<td>0.20, 0.006</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.37 ± 0.09 (70)</td>
|
||
<td>2.24 ± 0.09 (65)</td>
|
||
<td>2022.00, 0.266</td>
|
||
<td>0.12, 0.520</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>15.52 ± 1.15 (70)</td>
|
||
<td>13.80 ± 1.06 (65)</td>
|
||
<td>2064.00, 0.354</td>
|
||
<td>0.63, 0.738</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>7.09 ± 0.77 (70)</td>
|
||
<td>7.00 ± 0.80 (65)</td>
|
||
<td>2236.00, 0.865</td>
|
||
<td>0.01, 0.979</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.23 ± 0.01 (70)</td>
|
||
<td>0.23 ± 0.01 (65)</td>
|
||
<td>2307.00, 0.890</td>
|
||
<td>0.01, 0.732</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.45 ± 0.03 (70)</td>
|
||
<td>0.42 ± 0.03 (65)</td>
|
||
<td>2049.00, 0.321</td>
|
||
<td>0.01, 0.476</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.14 ± 0.01 (70)</td>
|
||
<td>0.12 ± 0.01 (65)</td>
|
||
<td>1939.00, 0.140</td>
|
||
<td>0.03, 0.069</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 [48]:</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'</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[48]:</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</th>
|
||
<th>30 Hz</th>
|
||
<th>MWU</th>
|
||
<th>PRS</th>
|
||
</tr>
|
||
</thead>
|
||
<tbody>
|
||
<tr>
|
||
<th>Average rate</th>
|
||
<td>10.08 ± 1.05 (61)</td>
|
||
<td>9.94 ± 1.17 (49)</td>
|
||
<td>1491.00, 0.986</td>
|
||
<td>0.24, 0.763</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.53 ± 0.05 (61)</td>
|
||
<td>0.46 ± 0.06 (49)</td>
|
||
<td>1342.00, 0.361</td>
|
||
<td>0.08, 0.289</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.67 ± 0.02 (61)</td>
|
||
<td>0.69 ± 0.03 (49)</td>
|
||
<td>1622.00, 0.445</td>
|
||
<td>0.03, 0.466</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.34 ± 0.38 (61)</td>
|
||
<td>5.21 ± 0.46 (49)</td>
|
||
<td>1372.00, 0.463</td>
|
||
<td>0.37, 0.420</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.19 ± 0.02 (61)</td>
|
||
<td>0.18 ± 0.03 (49)</td>
|
||
<td>1380.00, 0.493</td>
|
||
<td>0.01, 0.725</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>37.61 ± 2.31 (61)</td>
|
||
<td>34.42 ± 1.99 (49)</td>
|
||
<td>1342.00, 0.361</td>
|
||
<td>2.37, 0.351</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.08 ± 0.08 (61)</td>
|
||
<td>0.95 ± 0.07 (49)</td>
|
||
<td>1321.00, 0.298</td>
|
||
<td>0.14, 0.413</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.28 ± 0.09 (61)</td>
|
||
<td>2.24 ± 0.11 (49)</td>
|
||
<td>1419.00, 0.652</td>
|
||
<td>0.06, 0.740</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>15.61 ± 1.32 (61)</td>
|
||
<td>14.54 ± 1.29 (49)</td>
|
||
<td>1418.00, 0.648</td>
|
||
<td>0.64, 0.675</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>7.65 ± 0.96 (61)</td>
|
||
<td>7.54 ± 1.06 (49)</td>
|
||
<td>1487.00, 0.966</td>
|
||
<td>0.37, 0.789</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.21 ± 0.01 (61)</td>
|
||
<td>0.19 ± 0.01 (49)</td>
|
||
<td>1241.00, 0.128</td>
|
||
<td>0.04, 0.037</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.42 ± 0.03 (61)</td>
|
||
<td>0.42 ± 0.03 (49)</td>
|
||
<td>1429.00, 0.696</td>
|
||
<td>0.03, 0.495</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.12 ± 0.01 (61)</td>
|
||
<td>0.11 ± 0.01 (49)</td>
|
||
<td>1335.00, 0.339</td>
|
||
<td>0.01, 0.545</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 [45]:</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[45]:</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>9.28 ± 0.90 (65)</td>
|
||
<td>9.94 ± 1.17 (49)</td>
|
||
<td>1641.00, 0.784</td>
|
||
<td>0.09, 0.925</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.42 ± 0.05 (65)</td>
|
||
<td>0.46 ± 0.06 (49)</td>
|
||
<td>1739.00, 0.403</td>
|
||
<td>0.09, 0.420</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.69 ± 0.02 (65)</td>
|
||
<td>0.69 ± 0.03 (49)</td>
|
||
<td>1618.00, 0.886</td>
|
||
<td>0.01, 0.660</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.43 ± 0.48 (65)</td>
|
||
<td>5.21 ± 0.46 (49)</td>
|
||
<td>1548.00, 0.801</td>
|
||
<td>0.17, 0.835</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.19 ± 0.03 (65)</td>
|
||
<td>0.18 ± 0.03 (49)</td>
|
||
<td>1569.00, 0.895</td>
|
||
<td>0.01, 0.783</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>33.16 ± 1.79 (65)</td>
|
||
<td>34.42 ± 1.99 (49)</td>
|
||
<td>1681.00, 0.614</td>
|
||
<td>1.38, 0.740</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>0.89 ± 0.06 (65)</td>
|
||
<td>0.95 ± 0.07 (49)</td>
|
||
<td>1701.00, 0.536</td>
|
||
<td>0.07, 0.480</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.24 ± 0.09 (65)</td>
|
||
<td>2.24 ± 0.11 (49)</td>
|
||
<td>1583.00, 0.959</td>
|
||
<td>0.05, 0.814</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>13.80 ± 1.06 (65)</td>
|
||
<td>14.54 ± 1.29 (49)</td>
|
||
<td>1658.00, 0.710</td>
|
||
<td>0.88, 0.678</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>7.00 ± 0.80 (65)</td>
|
||
<td>7.54 ± 1.06 (49)</td>
|
||
<td>1631.00, 0.828</td>
|
||
<td>0.38, 0.923</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.23 ± 0.01 (65)</td>
|
||
<td>0.19 ± 0.01 (49)</td>
|
||
<td>1093.00, 0.004</td>
|
||
<td>0.05, 0.004</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.42 ± 0.03 (65)</td>
|
||
<td>0.42 ± 0.03 (49)</td>
|
||
<td>1559.00, 0.850</td>
|
||
<td>0.01, 0.597</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.12 ± 0.01 (65)</td>
|
||
<td>0.11 ± 0.01 (49)</td>
|
||
<td>1459.00, 0.446</td>
|
||
<td>0.01, 0.397</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 [46]:</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[46]:</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>9.82 ± 0.91 (70)</td>
|
||
<td>10.08 ± 1.05 (61)</td>
|
||
<td>2166.00, 0.888</td>
|
||
<td>0.15, 0.852</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Gridness</th>
|
||
<td>0.54 ± 0.05 (70)</td>
|
||
<td>0.53 ± 0.05 (61)</td>
|
||
<td>2158.00, 0.917</td>
|
||
<td>0.00, 0.983</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Sparsity</th>
|
||
<td>0.65 ± 0.02 (70)</td>
|
||
<td>0.67 ± 0.02 (61)</td>
|
||
<td>2001.00, 0.538</td>
|
||
<td>0.04, 0.361</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Selectivity</th>
|
||
<td>5.25 ± 0.35 (70)</td>
|
||
<td>5.34 ± 0.38 (61)</td>
|
||
<td>2062.00, 0.738</td>
|
||
<td>0.25, 0.594</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information specificity</th>
|
||
<td>0.22 ± 0.03 (70)</td>
|
||
<td>0.19 ± 0.02 (61)</td>
|
||
<td>2329.00, 0.372</td>
|
||
<td>0.05, 0.143</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Max rate</th>
|
||
<td>36.77 ± 1.96 (70)</td>
|
||
<td>37.61 ± 2.31 (61)</td>
|
||
<td>2088.00, 0.830</td>
|
||
<td>0.58, 0.784</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Information rate</th>
|
||
<td>1.22 ± 0.06 (70)</td>
|
||
<td>1.08 ± 0.08 (61)</td>
|
||
<td>2501.00, 0.092</td>
|
||
<td>0.14, 0.151</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Interspike interval cv</th>
|
||
<td>2.37 ± 0.09 (70)</td>
|
||
<td>2.28 ± 0.09 (61)</td>
|
||
<td>2257.00, 0.575</td>
|
||
<td>0.01, 0.928</td>
|
||
</tr>
|
||
<tr>
|
||
<th>In-field mean rate</th>
|
||
<td>15.52 ± 1.15 (70)</td>
|
||
<td>15.61 ± 1.32 (61)</td>
|
||
<td>2162.00, 0.903</td>
|
||
<td>0.87, 0.724</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Out-field mean rate</th>
|
||
<td>7.09 ± 0.77 (70)</td>
|
||
<td>7.65 ± 0.96 (61)</td>
|
||
<td>2115.00, 0.928</td>
|
||
<td>0.02, 0.986</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Burst event ratio</th>
|
||
<td>0.23 ± 0.01 (70)</td>
|
||
<td>0.21 ± 0.01 (61)</td>
|
||
<td>2299.00, 0.451</td>
|
||
<td>0.00, 0.830</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Specificity</th>
|
||
<td>0.45 ± 0.03 (70)</td>
|
||
<td>0.42 ± 0.03 (61)</td>
|
||
<td>2245.00, 0.613</td>
|
||
<td>0.01, 0.921</td>
|
||
</tr>
|
||
<tr>
|
||
<th>Speed score</th>
|
||
<td>0.14 ± 0.01 (70)</td>
|
||
<td>0.12 ± 0.01 (61)</td>
|
||
<td>2423.00, 0.185</td>
|
||
<td>0.04, 0.042</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 [25]:</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 [51]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></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'</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 '</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>
|
||
</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 [67]:</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">data</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">data</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">data</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">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 10345.0 p value 0.0555771740141912
|
||
_11
|
||
U-test: U value 2662.0 p value 0.08875139162540739
|
||
_30
|
||
U-test: U value 1609.0 p value 0.49296516393290757
|
||
</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>
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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 [52]:</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">data</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">data</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">data</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">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 11456.0 p value 0.0002697279841506103
|
||
_11
|
||
U-test: U value 3119.0 p value 0.00020360452883018144
|
||
_30
|
||
U-test: U value 1668.0 p value 0.29814082297055944
|
||
</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 class="input">
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<div class="prompt input_prompt">In [53]:</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">data</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">data</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>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">data</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>
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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>
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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">"Spatial specificity"</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="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>
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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">"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>
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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">"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>
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</pre></div>
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<pre>U-test: U value 10007.0 p value 0.1649858159393146
|
||
U-test: U value 2501.0 p value 0.32069572732432705
|
||
U-test: U value 1560.0 p value 0.6958619307501573
|
||
</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 ">
|
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<img 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>
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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 [54]:</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">data</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">data</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">data</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>
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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 9188.0 p value 0.908962887905669
|
||
U-test: U value 2375.0 p value 0.6612660438729908
|
||
U-test: U value 1498.0 p value 0.985605256484472
|
||
</pre>
|
||
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<img 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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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"
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>
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</div>
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</div>
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</div>
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<div class="prompt input_prompt">In [55]:</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">data</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">data</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">data</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>
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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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<pre>U-test: U value 10063.0 p value 0.1400464227005638
|
||
U-test: U value 2579.0 p value 0.18138067068099561
|
||
U-test: U value 1647.0 p value 0.3606465475361048
|
||
</pre>
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<img 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<div class="output_png output_subarea ">
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||
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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="prompt input_prompt">In [56]:</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">data</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">data</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">data</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>
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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 9867.0 p value 0.24172204410041476
|
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U-test: U value 2528.0 p value 0.2661689034616067
|
||
U-test: U value 1570.0 p value 0.6519514527439945
|
||
</pre>
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<img 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<div class="output_png output_subarea ">
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<div class="output_png output_subarea ">
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>
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<div class="input">
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<div class="prompt input_prompt">In [57]:</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">data</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">data</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">data</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>
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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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<div class="output_subarea output_stream output_stdout output_text">
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<pre>U-test: U value 9702.0 p value 0.3607186855527281
|
||
U-test: U value 2486.0 p value 0.35394001431515965
|
||
U-test: U value 1571.0 p value 0.6476229630232442
|
||
</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>
|
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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 [58]:</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">data</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">data</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">data</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">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">
|
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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 9035.0 p value 0.902799635194732
|
||
U-test: U value 2314.0 p value 0.8653706776265208
|
||
U-test: U value 1502.0 p value 0.9664203618429744
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
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|
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<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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<div class="output_png output_subarea ">
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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 [59]:</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">data</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">data</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">data</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">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 9680.0 p value 0.37898378591633064
|
||
U-test: U value 2243.0 p value 0.889674708636679
|
||
U-test: U value 1748.0 p value 0.12812146204516903
|
||
</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>
|
||
|
||
</div>
|
||
|
||
<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="cell border-box-sizing code_cell rendered">
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<div class="input">
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<div class="prompt input_prompt">In [60]:</div>
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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">data</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">data</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>
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<span class="n">stimulated</span> <span class="o">=</span> <span class="n">data</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>
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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">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>
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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>
|
||
<span class="c1"># plt.ylim(-0.5,25)</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_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>
|
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</pre></div>
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<div class="output_wrapper">
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<div class="output_subarea output_stream output_stdout output_text">
|
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<pre>U-test: U value 10084.0 p value 0.13148065660819572
|
||
U-test: U value 2542.0 p value 0.2405633131179855
|
||
U-test: U value 1693.0 p value 0.23374014039208268
|
||
</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_area">
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<div class="output_png output_subarea ">
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"
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>
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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 [61]:</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">data</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">data</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">data</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>
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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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<div class="output_wrapper">
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<div class="output_subarea output_stream output_stdout output_text">
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<pre>U-test: U value 9791.0 p value 0.2925898167186858
|
||
U-test: U value 2282.0 p value 0.9771645493355854
|
||
U-test: U value 1775.0 p value 0.09219506786209755
|
||
</pre>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="output_area">
|
||
|
||
<div class="prompt"></div>
|
||
|
||
|
||
|
||
|
||
<div class="output_png output_subarea ">
|
||
<img 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<div class="prompt input_prompt">In [62]:</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">data</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">data</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">data</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>
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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 10712.0 p value 0.012944498763933892
|
||
U-test: U value 2728.0 p value 0.046298262379147186
|
||
U-test: U value 1647.0 p value 0.3606465475361048
|
||
</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 [63]:</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">data</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">data</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">data</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>
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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></div>
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<pre>U-test: U value 10435.0 p value 0.03994154034871453
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U-test: U value 2611.0 p value 0.13955942364664278
|
||
U-test: U value 1654.0 p value 0.338955005854493
|
||
</pre>
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<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 [39]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
|
||
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># fig, (ax1, ax2) = plt.subplots(2,1, figsize=(6,6), sharey=True)</span>
|
||
<span class="c1"># for key, data in stuff.items():</span>
|
||
<span class="c1"># ax1.set_title('Baseline')</span>
|
||
<span class="c1"># peak_rate = data['base']['max_rate'].to_numpy()</span>
|
||
<span class="c1"># spacing = data['base']['spacing'].to_numpy()</span>
|
||
<span class="c1"># ax1.scatter(spacing, peak_rate)</span>
|
||
|
||
<span class="c1"># ax2.set_title('Stim')</span>
|
||
<span class="c1"># peak_rate = data['stim']['max_rate'].to_numpy()</span>
|
||
<span class="c1"># spacing = data['stim']['spacing'].to_numpy()</span>
|
||
<span class="c1"># ax2.scatter(spacing, peak_rate, label=key)</span>
|
||
|
||
<span class="c1"># ax2.legend()</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 [40]:</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>
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|
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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">
|
||
<div class="prompt input_prompt">In [41]:</div>
|
||
<div class="inner_cell">
|
||
<div class="input_area">
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||
<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>
|
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|
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</div>
|
||
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|
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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 output_prompt">Out[41]:</div>
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<div class="output_text output_subarea output_execute_result">
|
||
<pre>['/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics_30.tex',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics_11.tex',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics_base_i_vs_base_ii.csv',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics_30.csv',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics_base_i_vs_base_ii.tex',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics_11_vs_30.csv',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics.tex',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics.csv',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics_11_vs_30.tex',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/statistics/statistics_11.csv',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/spatial_information.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/specificity_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/bursty_spike_ratio_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/speed_score_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/burst_event_ratio.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/speed_score_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/isi_cv.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/gridness_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/out_field_mean_rate_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_field_mean_rate_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_field_mean_rate_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/speed_score_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/gridness_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/spatial_information_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/out_field_mean_rate_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/in_field_mean_rate_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/out_field_mean_rate_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/isi_cv_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/specificity_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/specificity_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/bursty_spike_ratio_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/specificity_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/burst_event_ratio_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/isi_cv_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/average_rate_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/burst_event_ratio_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/speed_score.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_field_mean_rate_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/spatial_information.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_rate_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/in_field_mean_rate_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/average_rate_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_rate.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/bursty_spike_ratio.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/spatial_information_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/isi_cv_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/in_field_mean_rate.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/average_rate_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/average_rate_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/isi_cv.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/in_field_mean_rate_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/average_rate.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_rate.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_field_mean_rate.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/bursty_spike_ratio_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/in_field_mean_rate.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/speed_score.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/out_field_mean_rate.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_rate_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/specificity.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/in_field_mean_rate_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/speed_score_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/out_field_mean_rate_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/bursty_spike_ratio_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/burst_event_ratio_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/isi_cv_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/bursty_spike_ratio.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/out_field_mean_rate.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/gridness_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/average_rate.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/spatial_information_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_field_mean_rate_11.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_rate_11.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/burst_event_ratio.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/gridness.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/gridness_30.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/spatial_information_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_rate_30.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/gridness.png',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/max_field_mean_rate.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/specificity.svg',
|
||
'/media/storage/expipe/septum-mec/actions/comparisons-gridcells/data/figures/burst_event_ratio_30.png']</pre>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
<div class="cell border-box-sizing code_cell rendered">
|
||
<div class="input">
|
||
<div class="prompt input_prompt">In [42]:</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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|
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|
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</html>
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