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13867 lines
421 KiB
HTML
13867 lines
421 KiB
HTML
<!DOCTYPE html>
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<html>
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<head><meta charset="utf-8" />
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<title>dlnd_tv_script_generation</title><script src="https://unpkg.com/jupyter-js-widgets@2.0.*/dist/embed.js"></script><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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color: #000 !important;
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box-shadow: none !important;
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text-shadow: none !important;
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}
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a,
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a:visited {
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text-decoration: underline;
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}
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a[href]:after {
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content: " (" attr(href) ")";
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}
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abbr[title]:after {
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content: " (" attr(title) ")";
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}
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a[href^="#"]:after,
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a[href^="javascript:"]:after {
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content: "";
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}
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pre,
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blockquote {
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border: 1px solid #999;
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page-break-inside: avoid;
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}
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thead {
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display: table-header-group;
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}
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tr,
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img {
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page-break-inside: avoid;
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}
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img {
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max-width: 100% !important;
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}
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p,
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h2,
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h3 {
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orphans: 3;
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widows: 3;
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}
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h2,
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h3 {
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page-break-after: avoid;
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}
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.navbar {
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display: none;
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}
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.btn > .caret,
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.dropup > .btn > .caret {
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border-top-color: #000 !important;
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}
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.label {
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border: 1px solid #000;
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}
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.table {
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border-collapse: collapse !important;
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}
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.table td,
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.table th {
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background-color: #fff !important;
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}
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.table-bordered th,
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.table-bordered td {
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border: 1px solid #ddd !important;
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}
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}
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@font-face {
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font-family: 'Glyphicons Halflings';
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src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
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src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff') format('woff'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') format('svg');
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}
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.glyphicon {
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position: relative;
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top: 1px;
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display: inline-block;
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font-family: 'Glyphicons Halflings';
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font-style: normal;
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font-weight: normal;
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line-height: 1;
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-webkit-font-smoothing: antialiased;
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-moz-osx-font-smoothing: grayscale;
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}
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.glyphicon-asterisk:before {
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content: "\002a";
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}
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.glyphicon-plus:before {
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content: "\002b";
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}
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.glyphicon-euro:before,
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.glyphicon-eur:before {
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content: "\20ac";
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}
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.glyphicon-minus:before {
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content: "\2212";
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}
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.glyphicon-cloud:before {
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content: "\2601";
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}
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.glyphicon-envelope:before {
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content: "\2709";
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}
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.glyphicon-pencil:before {
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content: "\270f";
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}
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.glyphicon-glass:before {
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content: "\e001";
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}
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.glyphicon-music:before {
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content: "\e002";
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}
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.glyphicon-search:before {
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content: "\e003";
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}
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.glyphicon-heart:before {
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content: "\e005";
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}
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.glyphicon-star:before {
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content: "\e006";
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}
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.glyphicon-star-empty:before {
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content: "\e007";
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}
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.glyphicon-user:before {
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content: "\e008";
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}
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.glyphicon-film:before {
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content: "\e009";
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}
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.glyphicon-th-large:before {
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content: "\e010";
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}
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.glyphicon-th:before {
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content: "\e011";
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}
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.glyphicon-th-list:before {
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content: "\e012";
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}
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.glyphicon-ok:before {
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content: "\e013";
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}
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.glyphicon-remove:before {
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content: "\e014";
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}
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.glyphicon-zoom-in:before {
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content: "\e015";
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}
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.glyphicon-zoom-out:before {
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content: "\e016";
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}
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.glyphicon-off:before {
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content: "\e017";
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}
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.glyphicon-signal:before {
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content: "\e018";
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}
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.glyphicon-cog:before {
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content: "\e019";
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}
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.glyphicon-trash:before {
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content: "\e020";
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}
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.glyphicon-home:before {
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content: "\e021";
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}
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.glyphicon-file:before {
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content: "\e022";
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}
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.glyphicon-time:before {
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content: "\e023";
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}
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.glyphicon-road:before {
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content: "\e024";
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}
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.glyphicon-download-alt:before {
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content: "\e025";
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}
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.glyphicon-download:before {
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content: "\e026";
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}
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.glyphicon-upload:before {
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content: "\e027";
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}
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.glyphicon-inbox:before {
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content: "\e028";
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}
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.glyphicon-play-circle:before {
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content: "\e029";
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}
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.glyphicon-repeat:before {
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content: "\e030";
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}
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.glyphicon-refresh:before {
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content: "\e031";
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}
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.glyphicon-list-alt:before {
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content: "\e032";
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}
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.glyphicon-lock:before {
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content: "\e033";
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}
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.glyphicon-flag:before {
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content: "\e034";
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}
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.glyphicon-headphones:before {
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content: "\e035";
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}
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.glyphicon-volume-off:before {
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content: "\e036";
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}
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.glyphicon-volume-down:before {
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content: "\e037";
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}
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.glyphicon-volume-up:before {
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content: "\e038";
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}
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.glyphicon-qrcode:before {
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content: "\e039";
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}
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.glyphicon-barcode:before {
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content: "\e040";
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}
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.glyphicon-tag:before {
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content: "\e041";
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}
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.glyphicon-tags:before {
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content: "\e042";
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}
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.glyphicon-book:before {
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content: "\e043";
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}
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.glyphicon-bookmark:before {
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content: "\e044";
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}
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.glyphicon-print:before {
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content: "\e045";
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}
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.glyphicon-camera:before {
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content: "\e046";
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}
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.glyphicon-font:before {
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content: "\e047";
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}
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.glyphicon-bold:before {
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content: "\e048";
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}
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.glyphicon-italic:before {
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content: "\e049";
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}
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.glyphicon-text-height:before {
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content: "\e050";
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}
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.glyphicon-text-width:before {
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content: "\e051";
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}
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.glyphicon-align-left:before {
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content: "\e052";
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}
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.glyphicon-align-center:before {
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content: "\e053";
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}
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.glyphicon-align-right:before {
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content: "\e054";
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}
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.glyphicon-align-justify:before {
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content: "\e055";
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}
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.glyphicon-list:before {
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content: "\e056";
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}
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.glyphicon-indent-left:before {
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content: "\e057";
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}
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.glyphicon-indent-right:before {
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content: "\e058";
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}
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.glyphicon-facetime-video:before {
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content: "\e059";
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}
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.glyphicon-picture:before {
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content: "\e060";
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}
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.glyphicon-map-marker:before {
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content: "\e062";
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}
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.glyphicon-adjust:before {
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content: "\e063";
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}
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.glyphicon-tint:before {
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content: "\e064";
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}
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.glyphicon-edit:before {
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content: "\e065";
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}
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.glyphicon-share:before {
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content: "\e066";
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}
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.glyphicon-check:before {
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content: "\e067";
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}
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.glyphicon-move:before {
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content: "\e068";
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}
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.glyphicon-step-backward:before {
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content: "\e069";
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}
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.glyphicon-fast-backward:before {
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content: "\e070";
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}
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.glyphicon-backward:before {
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content: "\e071";
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}
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.glyphicon-play:before {
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content: "\e072";
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}
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.glyphicon-pause:before {
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content: "\e073";
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}
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.glyphicon-stop:before {
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content: "\e074";
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}
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.glyphicon-forward:before {
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content: "\e075";
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}
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.glyphicon-fast-forward:before {
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content: "\e076";
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}
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.glyphicon-step-forward:before {
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content: "\e077";
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}
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.glyphicon-eject:before {
|
|
content: "\e078";
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}
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.glyphicon-chevron-left:before {
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|
content: "\e079";
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}
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.glyphicon-chevron-right:before {
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content: "\e080";
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}
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.glyphicon-plus-sign:before {
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content: "\e081";
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}
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.glyphicon-minus-sign:before {
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content: "\e082";
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}
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.glyphicon-remove-sign:before {
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content: "\e083";
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}
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.glyphicon-ok-sign:before {
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content: "\e084";
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}
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.glyphicon-question-sign:before {
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content: "\e085";
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}
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.glyphicon-info-sign:before {
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content: "\e086";
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}
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.glyphicon-screenshot:before {
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content: "\e087";
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}
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.glyphicon-remove-circle:before {
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content: "\e088";
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}
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.glyphicon-ok-circle:before {
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content: "\e089";
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}
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.glyphicon-ban-circle:before {
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content: "\e090";
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}
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.glyphicon-arrow-left:before {
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content: "\e091";
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}
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.glyphicon-arrow-right:before {
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content: "\e092";
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}
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.glyphicon-arrow-up:before {
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content: "\e093";
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}
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.glyphicon-arrow-down:before {
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content: "\e094";
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}
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.glyphicon-share-alt:before {
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content: "\e095";
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}
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.glyphicon-resize-full:before {
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content: "\e096";
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}
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.glyphicon-resize-small:before {
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content: "\e097";
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}
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.glyphicon-exclamation-sign:before {
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content: "\e101";
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}
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.glyphicon-gift:before {
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content: "\e102";
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}
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.glyphicon-leaf:before {
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content: "\e103";
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}
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.glyphicon-fire:before {
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content: "\e104";
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}
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.glyphicon-eye-open:before {
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content: "\e105";
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}
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.glyphicon-eye-close:before {
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content: "\e106";
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|
}
|
|
.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 4.2.0 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=4.2.0');
|
|
src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#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;
|
|
}
|
|
.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;
|
|
}
|
|
@-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 {
|
|
filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
|
|
-webkit-transform: rotate(90deg);
|
|
-ms-transform: rotate(90deg);
|
|
transform: rotate(90deg);
|
|
}
|
|
.fa-rotate-180 {
|
|
filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
|
|
-webkit-transform: rotate(180deg);
|
|
-ms-transform: rotate(180deg);
|
|
transform: rotate(180deg);
|
|
}
|
|
.fa-rotate-270 {
|
|
filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
|
|
-webkit-transform: rotate(270deg);
|
|
-ms-transform: rotate(270deg);
|
|
transform: rotate(270deg);
|
|
}
|
|
.fa-flip-horizontal {
|
|
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 {
|
|
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:before {
|
|
content: "\f09a";
|
|
}
|
|
.fa-github:before {
|
|
content: "\f09b";
|
|
}
|
|
.fa-unlock:before {
|
|
content: "\f09c";
|
|
}
|
|
.fa-credit-card:before {
|
|
content: "\f09d";
|
|
}
|
|
.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 {
|
|
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: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-rebel:before {
|
|
content: "\f1d0";
|
|
}
|
|
.fa-ge:before,
|
|
.fa-empire:before {
|
|
content: "\f1d1";
|
|
}
|
|
.fa-git-square:before {
|
|
content: "\f1d2";
|
|
}
|
|
.fa-git:before {
|
|
content: "\f1d3";
|
|
}
|
|
.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";
|
|
}
|
|
/*!
|
|
*
|
|
* 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;
|
|
}
|
|
/**
|
|
* 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 {
|
|
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;
|
|
}
|
|
@media (max-width: 991px) {
|
|
#ipython_notebook {
|
|
margin-left: 10px;
|
|
}
|
|
}
|
|
[dir="rtl"] #ipython_notebook {
|
|
float: right !important;
|
|
}
|
|
#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#login_widget {
|
|
float: right;
|
|
}
|
|
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;
|
|
}
|
|
@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;
|
|
}
|
|
/*!
|
|
*
|
|
* 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 {
|
|
text-align: center;
|
|
vertical-align: middle;
|
|
display: inline;
|
|
opacity: 0;
|
|
z-index: 2;
|
|
width: 12ex;
|
|
margin-right: -12ex;
|
|
}
|
|
.alternate_upload .btn-upload {
|
|
height: 22px;
|
|
}
|
|
/**
|
|
* Primary styles
|
|
*
|
|
* Author: Jupyter Development Team
|
|
*/
|
|
[dir="rtl"] #tabs li {
|
|
float: right;
|
|
}
|
|
ul#tabs {
|
|
margin-bottom: 4px;
|
|
}
|
|
[dir="rtl"] ul#tabs {
|
|
margin-right: 0px;
|
|
}
|
|
ul#tabs a {
|
|
padding-top: 6px;
|
|
padding-bottom: 4px;
|
|
}
|
|
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 {
|
|
float: left !important;
|
|
}
|
|
[dir="rtl"] .list_toolbar .pull-right {
|
|
padding-top: 1px;
|
|
float: left !important;
|
|
}
|
|
[dir="rtl"] .list_toolbar .pull-left {
|
|
float: right !important;
|
|
}
|
|
.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: baseline;
|
|
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;
|
|
}
|
|
.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_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;
|
|
}
|
|
.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;
|
|
}
|
|
#tree-selector {
|
|
padding-right: 0px;
|
|
}
|
|
[dir="rtl"] #tree-selector a {
|
|
float: right;
|
|
}
|
|
#button-select-all {
|
|
min-width: 50px;
|
|
}
|
|
#select-all {
|
|
margin-left: 7px;
|
|
margin-right: 2px;
|
|
}
|
|
.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.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.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.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.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;
|
|
}
|
|
[dir="rtl"] #new-menu {
|
|
text-align: right;
|
|
}
|
|
.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;
|
|
}
|
|
[dir="rtl"] #running .col-sm-8 {
|
|
float: right !important;
|
|
}
|
|
.delete-button {
|
|
display: none;
|
|
}
|
|
.duplicate-button {
|
|
display: none;
|
|
}
|
|
.rename-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.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.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.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.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);
|
|
}
|
|
}
|
|
/*!
|
|
*
|
|
* IPython notebook
|
|
*
|
|
*/
|
|
/* CSS font colors for translated ANSI colors. */
|
|
.ansibold {
|
|
font-weight: bold;
|
|
}
|
|
/* 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;
|
|
border-left-width: 1px;
|
|
padding-left: 5px;
|
|
background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
|
|
}
|
|
div.cell.jupyter-soft-selected {
|
|
border-left-color: #90CAF9;
|
|
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 {
|
|
border-color: #ababab;
|
|
border-left-width: 0px;
|
|
padding-left: 6px;
|
|
background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
|
|
}
|
|
@media print {
|
|
div.cell.selected {
|
|
border-color: transparent;
|
|
}
|
|
}
|
|
div.cell.selected.jupyter-soft-selected {
|
|
border-left-width: 0;
|
|
padding-left: 6px;
|
|
background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
|
|
}
|
|
.edit_mode div.cell.selected {
|
|
border-color: #66BB6A;
|
|
border-left-width: 0px;
|
|
padding-left: 6px;
|
|
background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
|
|
}
|
|
@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. */
|
|
padding: 0.4em;
|
|
}
|
|
.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. We need the 0 value because of how we size */
|
|
/* .CodeMirror-lines */
|
|
padding: 0;
|
|
border: 0;
|
|
border-radius: 0;
|
|
}
|
|
/*
|
|
|
|
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;
|
|
}
|
|
/* 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: 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 {
|
|
list-style: disc;
|
|
margin: 0em 2em;
|
|
padding-left: 0px;
|
|
}
|
|
.rendered_html ul ul {
|
|
list-style: square;
|
|
margin: 0em 2em;
|
|
}
|
|
.rendered_html ul ul ul {
|
|
list-style: circle;
|
|
margin: 0em 2em;
|
|
}
|
|
.rendered_html ol {
|
|
list-style: decimal;
|
|
margin: 0em 2em;
|
|
padding-left: 0px;
|
|
}
|
|
.rendered_html ol ol {
|
|
list-style: upper-alpha;
|
|
margin: 0em 2em;
|
|
}
|
|
.rendered_html ol ol ol {
|
|
list-style: lower-alpha;
|
|
margin: 0em 2em;
|
|
}
|
|
.rendered_html ol ol ol ol {
|
|
list-style: lower-roman;
|
|
margin: 0em 2em;
|
|
}
|
|
.rendered_html ol ol ol ol ol {
|
|
list-style: decimal;
|
|
margin: 0em 2em;
|
|
}
|
|
.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;
|
|
}
|
|
.rendered_html pre,
|
|
.rendered_html code {
|
|
border: 0;
|
|
background-color: #fff;
|
|
color: #000;
|
|
font-size: 100%;
|
|
padding: 0px;
|
|
}
|
|
.rendered_html blockquote {
|
|
margin: 1em 2em;
|
|
}
|
|
.rendered_html table {
|
|
margin-left: auto;
|
|
margin-right: auto;
|
|
border: 1px solid black;
|
|
border-collapse: collapse;
|
|
}
|
|
.rendered_html tr,
|
|
.rendered_html th,
|
|
.rendered_html td {
|
|
border: 1px solid black;
|
|
border-collapse: collapse;
|
|
margin: 1em 2em;
|
|
}
|
|
.rendered_html td,
|
|
.rendered_html th {
|
|
text-align: left;
|
|
vertical-align: middle;
|
|
padding: 4px;
|
|
}
|
|
.rendered_html th {
|
|
font-weight: bold;
|
|
}
|
|
.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;
|
|
}
|
|
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.unrendered .text_cell_render {
|
|
display: none;
|
|
}
|
|
.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;
|
|
}
|
|
/* 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;
|
|
}
|
|
.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 {
|
|
float: right !important;
|
|
float: right;
|
|
}
|
|
#kernel_logo_widget .current_kernel_logo {
|
|
display: none;
|
|
margin-top: -1px;
|
|
margin-bottom: -1px;
|
|
width: 32px;
|
|
height: 32px;
|
|
}
|
|
#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;
|
|
}
|
|
.nav-wrapper {
|
|
border-bottom: 1px solid #e7e7e7;
|
|
}
|
|
i.menu-icon {
|
|
padding-top: 4px;
|
|
}
|
|
ul#help_menu li a {
|
|
overflow: hidden;
|
|
padding-right: 2.2em;
|
|
}
|
|
ul#help_menu li a i {
|
|
margin-right: -1.2em;
|
|
}
|
|
.dropdown-submenu {
|
|
position: relative;
|
|
}
|
|
.dropdown-submenu > .dropdown-menu {
|
|
top: 0;
|
|
left: 100%;
|
|
margin-top: -6px;
|
|
margin-left: -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.pull-left {
|
|
margin-right: .3em;
|
|
}
|
|
.dropdown-submenu > a:after.pull-right {
|
|
margin-left: .3em;
|
|
}
|
|
.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;
|
|
}
|
|
.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;
|
|
}
|
|
#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;
|
|
}
|
|
#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;
|
|
}
|
|
#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.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.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.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.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.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.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 {
|
|
margin-top: 6px;
|
|
}
|
|
span.save_widget span.filename {
|
|
height: 1em;
|
|
line-height: 1em;
|
|
padding: 3px;
|
|
margin-left: 16px;
|
|
border: none;
|
|
font-size: 146.5%;
|
|
border-radius: 2px;
|
|
}
|
|
span.save_widget span.filename:hover {
|
|
background-color: #e6e6e6;
|
|
}
|
|
span.checkpoint_status,
|
|
span.autosave_status {
|
|
font-size: small;
|
|
}
|
|
@media (max-width: 767px) {
|
|
span.save_widget {
|
|
font-size: small;
|
|
}
|
|
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;
|
|
}
|
|
#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;
|
|
}
|
|
.pulse,
|
|
.dropdown-menu > li > a.pulse,
|
|
li.pulse > a.dropdown-toggle,
|
|
li.pulse.open > a.dropdown-toggle {
|
|
background-color: #F37626;
|
|
color: white;
|
|
}
|
|
/**
|
|
* Primary styles
|
|
*
|
|
* Author: Jupyter Development Team
|
|
*/
|
|
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
|
|
* of chance of beeing generated from the ../less/[samename].less file, you can
|
|
* try to get back the less file by reverting somme commit in history
|
|
**/
|
|
/*
|
|
* We'll try to get something pretty, so we
|
|
* have some strange css to have the scroll bar on
|
|
* the left with fix button on the top right of the tooltip
|
|
*/
|
|
@-moz-keyframes fadeOut {
|
|
from {
|
|
opacity: 1;
|
|
}
|
|
to {
|
|
opacity: 0;
|
|
}
|
|
}
|
|
@-webkit-keyframes fadeOut {
|
|
from {
|
|
opacity: 1;
|
|
}
|
|
to {
|
|
opacity: 0;
|
|
}
|
|
}
|
|
@-moz-keyframes fadeIn {
|
|
from {
|
|
opacity: 0;
|
|
}
|
|
to {
|
|
opacity: 1;
|
|
}
|
|
}
|
|
@-webkit-keyframes fadeIn {
|
|
from {
|
|
opacity: 0;
|
|
}
|
|
to {
|
|
opacity: 1;
|
|
}
|
|
}
|
|
/*properties of tooltip after "expand"*/
|
|
.bigtooltip {
|
|
overflow: auto;
|
|
height: 200px;
|
|
-webkit-transition-property: height;
|
|
-webkit-transition-duration: 500ms;
|
|
-moz-transition-property: height;
|
|
-moz-transition-duration: 500ms;
|
|
transition-property: height;
|
|
transition-duration: 500ms;
|
|
}
|
|
/*properties of tooltip before "expand"*/
|
|
.smalltooltip {
|
|
-webkit-transition-property: height;
|
|
-webkit-transition-duration: 500ms;
|
|
-moz-transition-property: height;
|
|
-moz-transition-duration: 500ms;
|
|
transition-property: height;
|
|
transition-duration: 500ms;
|
|
text-overflow: ellipsis;
|
|
overflow: hidden;
|
|
height: 80px;
|
|
}
|
|
.tooltipbuttons {
|
|
position: absolute;
|
|
padding-right: 15px;
|
|
top: 0px;
|
|
right: 0px;
|
|
}
|
|
.tooltiptext {
|
|
/*avoid the button to overlap on some docstring*/
|
|
padding-right: 30px;
|
|
}
|
|
.ipython_tooltip {
|
|
max-width: 700px;
|
|
/*fade-in animation when inserted*/
|
|
-webkit-animation: fadeOut 400ms;
|
|
-moz-animation: fadeOut 400ms;
|
|
animation: fadeOut 400ms;
|
|
-webkit-animation: fadeIn 400ms;
|
|
-moz-animation: fadeIn 400ms;
|
|
animation: fadeIn 400ms;
|
|
vertical-align: middle;
|
|
background-color: #f7f7f7;
|
|
overflow: visible;
|
|
border: #ababab 1px solid;
|
|
outline: none;
|
|
padding: 3px;
|
|
margin: 0px;
|
|
padding-left: 7px;
|
|
font-family: monospace;
|
|
min-height: 50px;
|
|
-moz-box-shadow: 0px 6px 10px -1px #adadad;
|
|
-webkit-box-shadow: 0px 6px 10px -1px #adadad;
|
|
box-shadow: 0px 6px 10px -1px #adadad;
|
|
border-radius: 2px;
|
|
position: absolute;
|
|
z-index: 1000;
|
|
}
|
|
.ipython_tooltip a {
|
|
float: right;
|
|
}
|
|
.ipython_tooltip .tooltiptext pre {
|
|
border: 0;
|
|
border-radius: 0;
|
|
font-size: 100%;
|
|
background-color: #f7f7f7;
|
|
}
|
|
.pretooltiparrow {
|
|
left: 0px;
|
|
margin: 0px;
|
|
top: -16px;
|
|
width: 40px;
|
|
height: 16px;
|
|
overflow: hidden;
|
|
position: absolute;
|
|
}
|
|
.pretooltiparrow:before {
|
|
background-color: #f7f7f7;
|
|
border: 1px #ababab solid;
|
|
z-index: 11;
|
|
content: "";
|
|
position: absolute;
|
|
left: 15px;
|
|
top: 10px;
|
|
width: 25px;
|
|
height: 25px;
|
|
-webkit-transform: rotate(45deg);
|
|
-moz-transform: rotate(45deg);
|
|
-ms-transform: rotate(45deg);
|
|
-o-transform: rotate(45deg);
|
|
}
|
|
ul.typeahead-list i {
|
|
margin-left: -10px;
|
|
width: 18px;
|
|
}
|
|
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;
|
|
}
|
|
.cmd-palette .modal-body {
|
|
padding: 7px;
|
|
}
|
|
.cmd-palette form {
|
|
background: white;
|
|
}
|
|
.cmd-palette input {
|
|
outline: none;
|
|
}
|
|
.no-shortcut {
|
|
display: none;
|
|
}
|
|
.command-shortcut:before {
|
|
content: "(command)";
|
|
padding-right: 3px;
|
|
color: #777777;
|
|
}
|
|
.edit-shortcut:before {
|
|
content: "(edit)";
|
|
padding-right: 3px;
|
|
color: #777777;
|
|
}
|
|
#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;
|
|
}
|
|
#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;
|
|
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<h1 id="TV-Script-Generation">TV Script Generation<a class="anchor-link" href="#TV-Script-Generation">¶</a></h1><p>In this project, you'll generate your own <a href="https://en.wikipedia.org/wiki/The_Simpsons">Simpsons</a> TV scripts using RNNs. You'll be using part of the <a href="https://www.kaggle.com/wcukierski/the-simpsons-by-the-data">Simpsons dataset</a> of scripts from 27 seasons. The Neural Network you'll build will generate a new TV script for a scene at <a href="https://simpsonswiki.com/wiki/Moe's_Tavern">Moe's Tavern</a>.</p>
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<h2 id="Get-the-Data">Get the Data<a class="anchor-link" href="#Get-the-Data">¶</a></h2><p>The data is already provided for you. You'll be using a subset of the original dataset. It consists of only the scenes in Moe's Tavern. This doesn't include other versions of the tavern, like "Moe's Cavern", "Flaming Moe's", "Uncle Moe's Family Feed-Bag", etc..</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
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<span class="sd">"""</span>
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<span class="kn">import</span> <span class="nn">helper</span>
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<span class="n">data_dir</span> <span class="o">=</span> <span class="s1">'./data/simpsons/moes_tavern_lines.txt'</span>
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<span class="n">text</span> <span class="o">=</span> <span class="n">helper</span><span class="o">.</span><span class="n">load_data</span><span class="p">(</span><span class="n">data_dir</span><span class="p">)</span>
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<span class="c1"># Ignore notice, since we don't use it for analysing the data</span>
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<span class="n">text</span> <span class="o">=</span> <span class="n">text</span><span class="p">[</span><span class="mi">81</span><span class="p">:]</span>
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</pre></div>
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<h2 id="Explore-the-Data">Explore the Data<a class="anchor-link" href="#Explore-the-Data">¶</a></h2><p>Play around with <code>view_sentence_range</code> to view different parts of the data.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">view_sentence_range</span> <span class="o">=</span> <span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
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<span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
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<span class="sd">"""</span>
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<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Dataset Stats'</span><span class="p">)</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Roughly the number of unique words: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">({</span><span class="n">word</span><span class="p">:</span> <span class="kc">None</span> <span class="k">for</span> <span class="n">word</span> <span class="ow">in</span> <span class="n">text</span><span class="o">.</span><span class="n">split</span><span class="p">()})))</span>
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<span class="n">scenes</span> <span class="o">=</span> <span class="n">text</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'</span><span class="se">\n\n</span><span class="s1">'</span><span class="p">)</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Number of scenes: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">scenes</span><span class="p">)))</span>
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<span class="n">sentence_count_scene</span> <span class="o">=</span> <span class="p">[</span><span class="n">scene</span><span class="o">.</span><span class="n">count</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">)</span> <span class="k">for</span> <span class="n">scene</span> <span class="ow">in</span> <span class="n">scenes</span><span class="p">]</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Average number of sentences in each scene: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">sentence_count_scene</span><span class="p">)))</span>
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<span class="n">sentences</span> <span class="o">=</span> <span class="p">[</span><span class="n">sentence</span> <span class="k">for</span> <span class="n">scene</span> <span class="ow">in</span> <span class="n">scenes</span> <span class="k">for</span> <span class="n">sentence</span> <span class="ow">in</span> <span class="n">scene</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">)]</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Number of lines: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">sentences</span><span class="p">)))</span>
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<span class="n">word_count_sentence</span> <span class="o">=</span> <span class="p">[</span><span class="nb">len</span><span class="p">(</span><span class="n">sentence</span><span class="o">.</span><span class="n">split</span><span class="p">())</span> <span class="k">for</span> <span class="n">sentence</span> <span class="ow">in</span> <span class="n">sentences</span><span class="p">]</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Average number of words in each line: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">average</span><span class="p">(</span><span class="n">word_count_sentence</span><span class="p">)))</span>
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<span class="nb">print</span><span class="p">()</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'The sentences </span><span class="si">{}</span><span class="s1"> to </span><span class="si">{}</span><span class="s1">:'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="o">*</span><span class="n">view_sentence_range</span><span class="p">))</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">text</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">)[</span><span class="n">view_sentence_range</span><span class="p">[</span><span class="mi">0</span><span class="p">]:</span><span class="n">view_sentence_range</span><span class="p">[</span><span class="mi">1</span><span class="p">]]))</span>
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</pre></div>
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<pre>Dataset Stats
|
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Roughly the number of unique words: 11492
|
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Number of scenes: 262
|
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Average number of sentences in each scene: 15.248091603053435
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Number of lines: 4257
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Average number of words in each line: 11.50434578341555
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The sentences 0 to 10:
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Moe_Szyslak: (INTO PHONE) Moe's Tavern. Where the elite meet to drink.
|
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Bart_Simpson: Eh, yeah, hello, is Mike there? Last name, Rotch.
|
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Moe_Szyslak: (INTO PHONE) Hold on, I'll check. (TO BARFLIES) Mike Rotch. Mike Rotch. Hey, has anybody seen Mike Rotch, lately?
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Moe_Szyslak: (INTO PHONE) Listen you little puke. One of these days I'm gonna catch you, and I'm gonna carve my name on your back with an ice pick.
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Moe_Szyslak: What's the matter Homer? You're not your normal effervescent self.
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Homer_Simpson: I got my problems, Moe. Give me another one.
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Moe_Szyslak: Homer, hey, you should not drink to forget your problems.
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Barney_Gumble: Yeah, you should only drink to enhance your social skills.
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</pre>
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</div>
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<div class="prompt input_prompt">In [4]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">!</span>lspci
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</pre></div>
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<pre>00:00.0 Host bridge: Intel Corporation 440FX - 82441FX PMC [Natoma] (rev 02)
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00:01.0 ISA bridge: Intel Corporation 82371SB PIIX3 ISA [Natoma/Triton II]
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00:01.1 IDE interface: Intel Corporation 82371SB PIIX3 IDE [Natoma/Triton II]
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00:01.3 Bridge: Intel Corporation 82371AB/EB/MB PIIX4 ACPI (rev 01)
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00:02.0 VGA compatible controller: Cirrus Logic GD 5446
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00:03.0 VGA compatible controller: NVIDIA Corporation GK104GL [GRID K520] (rev a1)
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00:1f.0 Unassigned class [ff80]: XenSource, Inc. Xen Platform Device (rev 01)
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</pre>
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</div>
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<h4 id="Exploring-Sentence-Lengths">Exploring Sentence Lengths<a class="anchor-link" href="#Exploring-Sentence-Lengths">¶</a></h4><p>Find sentence length average to use it as the RRN sequence length</p>
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<div class="cell border-box-sizing code_cell rendered">
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<div class="prompt input_prompt">In [5]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">nltk</span>
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<span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">Counter</span>
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<span class="kn">from</span> <span class="nn">bokeh.charts</span> <span class="k">import</span> <span class="n">Histogram</span><span class="p">,</span> <span class="n">output_notebook</span><span class="p">,</span> <span class="n">show</span>
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<span class="n">output_notebook</span><span class="p">()</span>
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<span class="n">sentences</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">nltk</span><span class="o">.</span><span class="n">sent_tokenize</span><span class="p">(</span><span class="n">text</span><span class="p">[</span><span class="mi">81</span><span class="p">:]))</span>
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<span class="n">sent_c</span> <span class="o">=</span> <span class="n">Counter</span><span class="p">()</span>
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<span class="c1"># Get average length</span>
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<span class="k">for</span> <span class="n">s</span> <span class="ow">in</span> <span class="n">sentences</span><span class="p">:</span>
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<span class="n">sent_c</span><span class="p">[</span><span class="n">s</span><span class="p">]</span> <span class="o">=</span> <span class="n">nltk</span><span class="o">.</span><span class="n">word_tokenize</span><span class="p">(</span><span class="n">s</span><span class="p">)</span><span class="o">.</span><span class="fm">__len__</span><span class="p">()</span>
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<span class="n">s_lengths</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="nb">list</span><span class="p">(</span><span class="n">sent_c</span><span class="o">.</span><span class="n">values</span><span class="p">()))</span>
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<span class="n">data</span> <span class="o">=</span> <span class="nb">dict</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="n">s_lengths</span><span class="p">)</span>
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<span class="n">p</span> <span class="o">=</span> <span class="n">Histogram</span><span class="p">(</span><span class="n">data</span><span class="p">,</span> <span class="n">xlabel</span><span class="o">=</span><span class="s1">'sentence lengths'</span><span class="p">,</span> <span class="n">bins</span><span class="o">=</span><span class="mi">50</span><span class="p">)</span>
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<span class="n">show</span><span class="p">(</span><span class="n">p</span><span class="p">)</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'Mean of sentences length is </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">s_lengths</span><span class="o">.</span><span class="n">mean</span><span class="p">()))</span>
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</pre></div>
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<a href="http://bokeh.pydata.org" target="_blank" class="bk-logo bk-logo-small bk-logo-notebook"></a>
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<span id="a1d47867-3c6a-4b12-b791-9b6e6f68b735">Loading BokehJS ...</span>
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var element = $('#9cd3a079-6680-4043-87b3-4b71f4dea7b1');
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"<div style='background-color: #fdd'>\n"+
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"<p>\n"+
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"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \n"+
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"may be due to a slow or bad network connection. Possible fixes:\n"+
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"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\n"+
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"<li>use INLINE resources instead, as so:</li>\n"+
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var js_urls = ["https://cdn.pydata.org/bokeh/release/bokeh-0.12.4.min.js", "https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.4.min.js"];
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display_loaded();
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}} else if (Date.now() < window._bokeh_timeout) {
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setTimeout(run_inline_js, 100);
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} else if (!window._bokeh_failed_load) {
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console.log("Bokeh: BokehJS failed to load within specified timeout.");
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window._bokeh_failed_load = true;
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} else if (force !== true) {
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var cell = $(document.getElementById("a1d47867-3c6a-4b12-b791-9b6e6f68b735")).parents('.cell').data().cell;
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cell.output_area.append_execute_result(NB_LOAD_WARNING)
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}
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console.log("Bokeh: BokehJS loaded, going straight to plotting");
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run_inline_js();
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} else {
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load_libs(js_urls, function() {
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console.log("Bokeh: BokehJS plotting callback run at", now());
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run_inline_js();
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});
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}
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}(this));
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</script>
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"may be due to a slow or bad network connection. Possible fixes:\n"+
|
|
"</p>\n"+
|
|
"<ul>\n"+
|
|
"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\n"+
|
|
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|
|
"</ul>\n"+
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"from bokeh.resources import INLINE\n"+
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"output_notebook(resources=INLINE)\n"+
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"</code>\n"+
|
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"</div>"}};
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setTimeout(display_loaded, 100)
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}
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}
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function run_callbacks() {
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delete window._bokeh_onload_callbacks
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console.info("Bokeh: all callbacks have finished");
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}
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function load_libs(js_urls, callback) {
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if (window._bokeh_is_loading > 0) {
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console.log("Bokeh: BokehJS is being loaded, scheduling callback at", now());
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}
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if (js_urls == null || js_urls.length === 0) {
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return null;
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(function() {
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var fn = function() {
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var docs_json = 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<pre>Mean of sentences length is 11.279889538661468
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</pre>
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</div>
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<h2 id="Implement-Preprocessing-Functions">Implement Preprocessing Functions<a class="anchor-link" href="#Implement-Preprocessing-Functions">¶</a></h2><p>The first thing to do to any dataset is preprocessing. Implement the following preprocessing functions below:</p>
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<ul>
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<li>Lookup Table</li>
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<li>Tokenize Punctuation</li>
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</ul>
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<h3 id="Lookup-Table">Lookup Table<a class="anchor-link" href="#Lookup-Table">¶</a></h3><p>To create a word embedding, you first need to transform the words to ids. In this function, create two dictionaries:</p>
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<ul>
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<li>Dictionary to go from the words to an id, we'll call <code>vocab_to_int</code></li>
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<li>Dictionary to go from the id to word, we'll call <code>int_to_vocab</code></li>
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<p>Return these dictionaries in the following tuple <code>(vocab_to_int, int_to_vocab)</code></p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
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<span class="kn">import</span> <span class="nn">problem_unittests</span> <span class="k">as</span> <span class="nn">tests</span>
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<span class="k">def</span> <span class="nf">create_lookup_tables</span><span class="p">(</span><span class="n">text</span><span class="p">):</span>
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<span class="sd">"""</span>
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<span class="sd"> Create lookup tables for vocabulary</span>
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<span class="sd"> :param text: The text of tv scripts split into words</span>
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<span class="sd"> :return: A tuple of dicts (vocab_to_int, int_to_vocab)</span>
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<span class="sd"> """</span>
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<span class="n">vocab</span> <span class="o">=</span> <span class="nb">set</span><span class="p">(</span><span class="n">text</span><span class="p">)</span>
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<span class="n">vocab_to_int</span> <span class="o">=</span> <span class="p">{</span><span class="n">word</span><span class="p">:</span> <span class="n">index</span> <span class="k">for</span> <span class="n">index</span><span class="p">,</span> <span class="n">word</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">vocab</span><span class="p">)}</span>
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<span class="n">int_to_vocab</span> <span class="o">=</span> <span class="p">{</span><span class="n">index</span><span class="p">:</span> <span class="n">word</span> <span class="k">for</span> <span class="p">(</span><span class="n">word</span><span class="p">,</span> <span class="n">index</span><span class="p">)</span> <span class="ow">in</span> <span class="n">vocab_to_int</span><span class="o">.</span><span class="n">items</span><span class="p">()}</span>
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<span class="k">return</span> <span class="n">vocab_to_int</span><span class="p">,</span> <span class="n">int_to_vocab</span>
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<span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
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<span class="sd">"""</span>
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<span class="n">tests</span><span class="o">.</span><span class="n">test_create_lookup_tables</span><span class="p">(</span><span class="n">create_lookup_tables</span><span class="p">)</span>
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</pre></div>
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<pre>Tests Passed
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<h3 id="Tokenize-Punctuation">Tokenize Punctuation<a class="anchor-link" href="#Tokenize-Punctuation">¶</a></h3><p>We'll be splitting the script into a word array using spaces as delimiters. However, punctuations like periods and exclamation marks make it hard for the neural network to distinguish between the word "bye" and "bye!".</p>
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<p>Implement the function <code>token_lookup</code> to return a dict that will be used to tokenize symbols like "!" into "||Exclamation_Mark||". Create a dictionary for the following symbols where the symbol is the key and value is the token:</p>
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<ul>
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<li>Period ( . )</li>
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<li>Comma ( , )</li>
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<li>Quotation Mark ( " )</li>
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<li>Semicolon ( ; )</li>
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<li>Exclamation mark ( ! )</li>
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<li>Question mark ( ? )</li>
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<li>Left Parentheses ( ( )</li>
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<li>Right Parentheses ( ) )</li>
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<li>Dash ( -- )</li>
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<li>Return ( \n )</li>
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</ul>
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<p>This dictionary will be used to token the symbols and add the delimiter (space) around it. This separates the symbols as it's own word, making it easier for the neural network to predict on the next word. Make sure you don't use a token that could be confused as a word. Instead of using the token "dash", try using something like "||dash||".</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">token_lookup</span><span class="p">():</span>
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<span class="sd">"""</span>
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<span class="sd"> Generate a dict to turn punctuation into a token.</span>
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<span class="sd"> :return: Tokenize dictionary where the key is the punctuation and the value is the token</span>
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<span class="sd"> """</span>
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<span class="k">return</span> <span class="p">{</span>
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<span class="s1">'.'</span><span class="p">:</span> <span class="s1">'||period||'</span><span class="p">,</span>
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<span class="s1">','</span><span class="p">:</span> <span class="s1">'||comma||'</span><span class="p">,</span>
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<span class="s1">'"'</span><span class="p">:</span> <span class="s1">'||quotation_mark||'</span><span class="p">,</span>
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<span class="s1">';'</span><span class="p">:</span> <span class="s1">'||semicolon||'</span><span class="p">,</span>
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<span class="s1">'!'</span><span class="p">:</span> <span class="s1">'||exclamation_mark||'</span><span class="p">,</span>
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<span class="s1">'?'</span><span class="p">:</span> <span class="s1">'||question_mark||'</span><span class="p">,</span>
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<span class="s1">'('</span><span class="p">:</span> <span class="s1">'||left_parentheses'</span><span class="p">,</span>
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<span class="s1">')'</span><span class="p">:</span> <span class="s1">'||right_parentheses'</span><span class="p">,</span>
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<span class="s1">'--'</span><span class="p">:</span> <span class="s1">'||dash||'</span><span class="p">,</span>
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<span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">:</span> <span class="s1">'||return||'</span>
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<span class="p">}</span>
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<span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
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<span class="sd">"""</span>
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<span class="n">tests</span><span class="o">.</span><span class="n">test_tokenize</span><span class="p">(</span><span class="n">token_lookup</span><span class="p">)</span>
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<pre>Tests Passed
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<h2 id="Preprocess-all-the-data-and-save-it">Preprocess all the data and save it<a class="anchor-link" href="#Preprocess-all-the-data-and-save-it">¶</a></h2><p>Running the code cell below will preprocess all the data and save it to file.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
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<span class="sd">"""</span>
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<span class="c1"># Preprocess Training, Validation, and Testing Data</span>
|
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<span class="n">helper</span><span class="o">.</span><span class="n">preprocess_and_save_data</span><span class="p">(</span><span class="n">data_dir</span><span class="p">,</span> <span class="n">token_lookup</span><span class="p">,</span> <span class="n">create_lookup_tables</span><span class="p">)</span>
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</pre></div>
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<h1 id="Check-Point">Check Point<a class="anchor-link" href="#Check-Point">¶</a></h1><p>This is your first checkpoint. If you ever decide to come back to this notebook or have to restart the notebook, you can start from here. The preprocessed data has been saved to disk.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
|
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<span class="sd">"""</span>
|
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<span class="kn">import</span> <span class="nn">helper</span>
|
|
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
|
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<span class="kn">import</span> <span class="nn">problem_unittests</span> <span class="k">as</span> <span class="nn">tests</span>
|
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|
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<span class="n">int_text</span><span class="p">,</span> <span class="n">vocab_to_int</span><span class="p">,</span> <span class="n">int_to_vocab</span><span class="p">,</span> <span class="n">token_dict</span> <span class="o">=</span> <span class="n">helper</span><span class="o">.</span><span class="n">load_preprocess</span><span class="p">()</span>
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</pre></div>
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<h3 id="Extra-hyper-parameters">Extra hyper parameters<a class="anchor-link" href="#Extra-hyper-parameters">¶</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">from</span> <span class="nn">collections</span> <span class="k">import</span> <span class="n">namedtuple</span>
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<span class="n">hyper_params</span> <span class="o">=</span> <span class="p">((</span><span class="s1">'embedding_size'</span><span class="p">,</span> <span class="mi">128</span><span class="p">),</span>
|
|
<span class="p">(</span><span class="s1">'lstm_layers'</span><span class="p">,</span> <span class="mi">2</span><span class="p">),</span>
|
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<span class="p">(</span><span class="s1">'keep_prob'</span><span class="p">,</span> <span class="mf">0.7</span><span class="p">)</span>
|
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<span class="p">)</span>
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<span class="n">Hyper</span> <span class="o">=</span> <span class="n">namedtuple</span><span class="p">(</span><span class="s1">'Hyper'</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">x</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">hyper_params</span><span class="p">))</span>
|
|
<span class="n">HYPER</span> <span class="o">=</span> <span class="n">Hyper</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">x</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">hyper_params</span><span class="p">)))</span>
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</pre></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 text_cell rendered">
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<div class="prompt input_prompt">
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<h2 id="Build-the-Neural-Network">Build the Neural Network<a class="anchor-link" href="#Build-the-Neural-Network">¶</a></h2><p>You'll build the components necessary to build a RNN by implementing the following functions below:</p>
|
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<ul>
|
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<li>get_inputs</li>
|
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<li>get_init_cell</li>
|
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<li>get_embed</li>
|
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<li>build_rnn</li>
|
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<li>build_nn</li>
|
|
<li>get_batches</li>
|
|
</ul>
|
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<h3 id="Check-the-Version-of-TensorFlow-and-Access-to-GPU">Check the Version of TensorFlow and Access to GPU<a class="anchor-link" href="#Check-the-Version-of-TensorFlow-and-Access-to-GPU">¶</a></h3>
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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 [11]:</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="sd">"""</span>
|
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
|
|
<span class="sd">"""</span>
|
|
<span class="kn">from</span> <span class="nn">distutils.version</span> <span class="k">import</span> <span class="n">LooseVersion</span>
|
|
<span class="kn">import</span> <span class="nn">warnings</span>
|
|
<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>
|
|
|
|
<span class="c1"># Check TensorFlow Version</span>
|
|
<span class="k">assert</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">__version__</span><span class="p">)</span> <span class="o">>=</span> <span class="n">LooseVersion</span><span class="p">(</span><span class="s1">'1.0'</span><span class="p">),</span> <span class="s1">'Please use TensorFlow version 1.0 or newer'</span>
|
|
<span class="nb">print</span><span class="p">(</span><span class="s1">'TensorFlow Version: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">__version__</span><span class="p">))</span>
|
|
|
|
<span class="c1"># Check for a GPU</span>
|
|
<span class="k">if</span> <span class="ow">not</span> <span class="n">tf</span><span class="o">.</span><span class="n">test</span><span class="o">.</span><span class="n">gpu_device_name</span><span class="p">():</span>
|
|
<span class="n">warnings</span><span class="o">.</span><span class="n">warn</span><span class="p">(</span><span class="s1">'No GPU found. Please use a GPU to train your neural network.'</span><span class="p">)</span>
|
|
<span class="k">else</span><span class="p">:</span>
|
|
<span class="nb">print</span><span class="p">(</span><span class="s1">'Default GPU Device: </span><span class="si">{}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">test</span><span class="o">.</span><span class="n">gpu_device_name</span><span class="p">()))</span>
|
|
</pre></div>
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</div>
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</div>
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<div class="output_wrapper">
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<div class="prompt"></div>
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<div class="output_subarea output_stream output_stdout output_text">
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<pre>TensorFlow Version: 1.0.0
|
|
Default GPU Device: /gpu:0
|
|
</pre>
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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 text_cell rendered">
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<div class="prompt input_prompt">
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<h3 id="Input">Input<a class="anchor-link" href="#Input">¶</a></h3><p>Implement the <code>get_inputs()</code> function to create TF Placeholders for the Neural Network. It should create the following placeholders:</p>
|
|
<ul>
|
|
<li>Input text placeholder named "input" using the <a href="https://www.tensorflow.org/api_docs/python/tf/placeholder">TF Placeholder</a> <code>name</code> parameter.</li>
|
|
<li>Targets placeholder</li>
|
|
<li>Learning Rate placeholder</li>
|
|
</ul>
|
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<p>Return the placeholders in the following the tuple <code>(Input, Targets, LearingRate)</code></p>
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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 [12]:</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">def</span> <span class="nf">get_inputs</span><span class="p">():</span>
|
|
<span class="sd">"""</span>
|
|
<span class="sd"> Create TF Placeholders for input, targets, and learning rate.</span>
|
|
<span class="sd"> :return: Tuple (input, targets, learning rate)</span>
|
|
<span class="sd"> """</span>
|
|
|
|
<span class="c1"># We use shape [None, None] to feed any batch size and any sequence length</span>
|
|
<span class="n">input_placeholder</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">int64</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">],</span><span class="n">name</span><span class="o">=</span><span class="s1">'input'</span><span class="p">)</span>
|
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|
|
<span class="c1"># Targets are [batch_size, seq_length]</span>
|
|
<span class="n">targets_placeholder</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">int64</span><span class="p">,</span> <span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="kc">None</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s1">'targets'</span><span class="p">)</span>
|
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|
|
|
|
<span class="n">learning_rate_placeholder</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'learning_rate'</span><span class="p">)</span>
|
|
<span class="k">return</span> <span class="n">input_placeholder</span><span class="p">,</span> <span class="n">targets_placeholder</span><span class="p">,</span> <span class="n">learning_rate_placeholder</span>
|
|
|
|
|
|
<span class="sd">"""</span>
|
|
<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
|
|
<span class="sd">"""</span>
|
|
<span class="n">tests</span><span class="o">.</span><span class="n">test_get_inputs</span><span class="p">(</span><span class="n">get_inputs</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
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</div>
|
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</div>
|
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</div>
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<div class="output_wrapper">
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<div class="output">
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<div class="output_area">
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<div class="prompt"></div>
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<div class="output_subarea output_stream output_stdout output_text">
|
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<pre>Tests Passed
|
|
</pre>
|
|
</div>
|
|
</div>
|
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|
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</div>
|
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</div>
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</div>
|
|
<div class="cell border-box-sizing text_cell rendered">
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<div class="prompt input_prompt">
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</div>
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<div class="inner_cell">
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<h3 id="Build-RNN-Cell-and-Initialize">Build RNN Cell and Initialize<a class="anchor-link" href="#Build-RNN-Cell-and-Initialize">¶</a></h3><p>Stack one or more <a href="https://www.tensorflow.org/api_docs/python/tf/contrib/rnn/BasicLSTMCell"><code>BasicLSTMCells</code></a> in a <a href="https://www.tensorflow.org/api_docs/python/tf/contrib/rnn/MultiRNNCell"><code>MultiRNNCell</code></a>.</p>
|
|
<ul>
|
|
<li>The Rnn size should be set using <code>rnn_size</code></li>
|
|
<li>Initalize Cell State using the MultiRNNCell's <a href="https://www.tensorflow.org/api_docs/python/tf/contrib/rnn/MultiRNNCell#zero_state"><code>zero_state()</code></a> function<ul>
|
|
<li>Apply the name "initial_state" to the initial state using <a href="https://www.tensorflow.org/api_docs/python/tf/identity"><code>tf.identity()</code></a></li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
<p>Return the cell and initial state in the following tuple <code>(Cell, InitialState)</code></p>
|
|
|
|
</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="k">def</span> <span class="nf">get_init_cell</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">rnn_size</span><span class="p">):</span>
|
|
<span class="sd">"""</span>
|
|
<span class="sd"> Create an RNN Cell and initialize it.</span>
|
|
<span class="sd"> :param batch_size: Size of batches</span>
|
|
<span class="sd"> :param rnn_size: Size of RNNs</span>
|
|
<span class="sd"> :return: Tuple (cell, initialize state)</span>
|
|
<span class="sd"> """</span>
|
|
<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">name_scope</span><span class="p">(</span><span class="s1">'RNN_layers'</span><span class="p">):</span>
|
|
<span class="n">lstm</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">contrib</span><span class="o">.</span><span class="n">rnn</span><span class="o">.</span><span class="n">BasicLSTMCell</span><span class="p">(</span><span class="n">rnn_size</span><span class="p">)</span>
|
|
|
|
<span class="c1"># add a dropout wrapper</span>
|
|
<span class="n">drop</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">contrib</span><span class="o">.</span><span class="n">rnn</span><span class="o">.</span><span class="n">DropoutWrapper</span><span class="p">(</span><span class="n">lstm</span><span class="p">,</span> <span class="n">output_keep_prob</span><span class="o">=</span><span class="n">HYPER</span><span class="o">.</span><span class="n">keep_prob</span><span class="p">)</span>
|
|
|
|
<span class="c1">#cell = tf.contrib.rnn.MultiRNNCell([drop] * HYPER.lstm_layers)</span>
|
|
|
|
<span class="n">cell</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">contrib</span><span class="o">.</span><span class="n">rnn</span><span class="o">.</span><span class="n">MultiRNNCell</span><span class="p">([</span><span class="n">lstm</span><span class="p">]</span> <span class="o">*</span> <span class="n">HYPER</span><span class="o">.</span><span class="n">lstm_layers</span><span class="p">)</span>
|
|
|
|
|
|
<span class="n">_initial_state</span> <span class="o">=</span> <span class="n">cell</span><span class="o">.</span><span class="n">zero_state</span><span class="p">(</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
|
|
<span class="n">initial_state</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">identity</span><span class="p">(</span><span class="n">_initial_state</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'initial_state'</span><span class="p">)</span>
|
|
|
|
<span class="k">return</span> <span class="n">cell</span><span class="p">,</span> <span class="n">initial_state</span>
|
|
|
|
|
|
<span class="sd">"""</span>
|
|
<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
|
|
<span class="sd">"""</span>
|
|
<span class="n">tests</span><span class="o">.</span><span class="n">test_get_init_cell</span><span class="p">(</span><span class="n">get_init_cell</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
|
</div>
|
|
</div>
|
|
</div>
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<div class="output_wrapper">
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<div class="output">
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<div class="output_area">
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<div class="prompt"></div>
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|
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<div class="output_subarea output_stream output_stdout output_text">
|
|
<pre>Tests Passed
|
|
</pre>
|
|
</div>
|
|
</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 text_cell rendered">
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<div class="prompt input_prompt">
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<div class="inner_cell">
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|
|
<h3 id="Word-Embedding">Word Embedding<a class="anchor-link" href="#Word-Embedding">¶</a></h3><p>Apply embedding to <code>input_data</code> using TensorFlow. Return the embedded sequence.</p>
|
|
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|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="cell border-box-sizing code_cell rendered">
|
|
<div class="input">
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<div class="prompt input_prompt">In [14]:</div>
|
|
<div class="inner_cell">
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<div class="input_area">
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">get_embed</span><span class="p">(</span><span class="n">input_data</span><span class="p">,</span> <span class="n">vocab_size</span><span class="p">,</span> <span class="n">embed_dim</span><span class="p">):</span>
|
|
<span class="sd">"""</span>
|
|
<span class="sd"> Create embedding for <input_data>.</span>
|
|
<span class="sd"> :param input_data: TF placeholder for text input.</span>
|
|
<span class="sd"> :param vocab_size: Number of words in vocabulary.</span>
|
|
<span class="sd"> :param embed_dim: Number of embedding dimensions</span>
|
|
<span class="sd"> :return: Embedded input.</span>
|
|
<span class="sd"> """</span>
|
|
<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">name_scope</span><span class="p">(</span><span class="s1">'Embedding'</span><span class="p">):</span>
|
|
<span class="n">embeddings</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span>
|
|
<span class="n">tf</span><span class="o">.</span><span class="n">random_uniform</span><span class="p">([</span><span class="n">vocab_size</span><span class="p">,</span> <span class="n">embed_dim</span><span class="p">],</span> <span class="o">-</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">)</span>
|
|
<span class="p">)</span>
|
|
|
|
<span class="n">embed</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">embedding_lookup</span><span class="p">(</span><span class="n">embeddings</span><span class="p">,</span> <span class="n">input_data</span><span class="p">)</span>
|
|
|
|
<span class="k">return</span> <span class="n">embed</span>
|
|
|
|
|
|
<span class="sd">"""</span>
|
|
<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
|
|
<span class="sd">"""</span>
|
|
<span class="n">tests</span><span class="o">.</span><span class="n">test_get_embed</span><span class="p">(</span><span class="n">get_embed</span><span class="p">)</span>
|
|
</pre></div>
|
|
|
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</div>
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</div>
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<div class="output_wrapper">
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<div class="prompt"></div>
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<div class="output_subarea output_stream output_stdout output_text">
|
|
<pre>Tests Passed
|
|
</pre>
|
|
</div>
|
|
</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 text_cell rendered">
|
|
<div class="prompt input_prompt">
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|
<div class="inner_cell">
|
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<h3 id="Build-RNN">Build RNN<a class="anchor-link" href="#Build-RNN">¶</a></h3><p>You created a RNN Cell in the <code>get_init_cell()</code> function. Time to use the cell to create a RNN.</p>
|
|
<ul>
|
|
<li>Build the RNN using the <a href="https://www.tensorflow.org/api_docs/python/tf/nn/dynamic_rnn"><code>tf.nn.dynamic_rnn()</code></a><ul>
|
|
<li>Apply the name "final_state" to the final state using <a href="https://www.tensorflow.org/api_docs/python/tf/identity"><code>tf.identity()</code></a></li>
|
|
</ul>
|
|
</li>
|
|
</ul>
|
|
<p>Return the outputs and final_state state in the following tuple <code>(Outputs, FinalState)</code></p>
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="cell border-box-sizing code_cell rendered">
|
|
<div class="input">
|
|
<div class="prompt input_prompt">In [15]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">build_rnn</span><span class="p">(</span><span class="n">cell</span><span class="p">,</span> <span class="n">inputs</span><span class="p">):</span>
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<span class="sd">"""</span>
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<span class="sd"> Create a RNN using a RNN Cell</span>
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<span class="sd"> :param cell: RNN Cell</span>
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<span class="sd"> :param inputs: Input text data</span>
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<span class="sd"> :return: Tuple (Outputs, Final State)</span>
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<span class="sd"> """</span>
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<span class="c1">## NOTES</span>
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<span class="c1"># dynamic rnn automatically takes the seq size in dim=1 [batch_size, max_time, ...] time_major==false (default)</span>
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<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">name_scope</span><span class="p">(</span><span class="s1">'RNN_output'</span><span class="p">):</span>
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<span class="n">outputs</span><span class="p">,</span> <span class="n">final_state</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">dynamic_rnn</span><span class="p">(</span><span class="n">cell</span><span class="p">,</span> <span class="n">inputs</span><span class="p">,</span> <span class="n">dtype</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span>
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<span class="n">final_state</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">identity</span><span class="p">(</span><span class="n">final_state</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'final_state'</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">outputs</span><span class="p">,</span> <span class="n">final_state</span>
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<span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
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<span class="sd">"""</span>
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<span class="n">tests</span><span class="o">.</span><span class="n">test_build_rnn</span><span class="p">(</span><span class="n">build_rnn</span><span class="p">)</span>
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<pre>Tests Passed
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<h3 id="Build-the-Neural-Network">Build the Neural Network<a class="anchor-link" href="#Build-the-Neural-Network">¶</a></h3><p>Apply the functions you implemented above to:</p>
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<ul>
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<li>Apply embedding to <code>input_data</code> using your <code>get_embed(input_data, vocab_size, embed_dim)</code> function.</li>
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<li>Build RNN using <code>cell</code> and your <code>build_rnn(cell, inputs)</code> function.</li>
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<li>Apply a fully connected layer with a linear activation and <code>vocab_size</code> as the number of outputs.</li>
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</ul>
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<p>Return the logits and final state in the following tuple (Logits, FinalState)</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">build_nn</span><span class="p">(</span><span class="n">cell</span><span class="p">,</span> <span class="n">rnn_size</span><span class="p">,</span> <span class="n">input_data</span><span class="p">,</span> <span class="n">vocab_size</span><span class="p">):</span>
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<span class="sd">"""</span>
|
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<span class="sd"> Build part of the neural network</span>
|
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<span class="sd"> :param cell: RNN cell</span>
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<span class="sd"> :param rnn_size: Size of rnns</span>
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<span class="sd"> :param input_data: Input data</span>
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<span class="sd"> :param vocab_size: Vocabulary size</span>
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<span class="sd"> :return: Tuple (Logits, FinalState)</span>
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<span class="sd"> """</span>
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<span class="n">num_outputs</span> <span class="o">=</span> <span class="n">vocab_size</span>
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<span class="c1">## Not sure why the unit test was made without taking into </span>
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<span class="c1"># account we are handling dynamic tensor shape that we need to infer</span>
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<span class="c1"># at runtime, so I made an if statement just to pass the test case</span>
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<span class="c1">#</span>
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<span class="c1"># Some references: https://goo.gl/vD3egn</span>
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<span class="c1"># https://goo.gl/E8vT2M </span>
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<span class="k">if</span> <span class="n">input_data</span><span class="o">.</span><span class="n">get_shape</span><span class="p">()</span><span class="o">.</span><span class="n">as_list</span><span class="p">()[</span><span class="mi">1</span><span class="p">]</span> <span class="ow">is</span> <span class="ow">not</span> <span class="kc">None</span><span class="p">:</span>
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<span class="n">batch_size</span> <span class="o">=</span> <span class="n">input_data</span><span class="o">.</span><span class="n">get_shape</span><span class="p">()</span><span class="o">.</span><span class="n">as_list</span><span class="p">()[</span><span class="mi">0</span><span class="p">]</span>
|
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<span class="n">seq_len</span> <span class="o">=</span> <span class="n">input_data</span><span class="o">.</span><span class="n">get_shape</span><span class="p">()</span><span class="o">.</span><span class="n">as_list</span><span class="p">()[</span><span class="mi">1</span><span class="p">]</span>
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<span class="c1"># Infer dynamic tensor shape of input</span>
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<span class="k">else</span><span class="p">:</span>
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<span class="n">input_dims</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">shape</span><span class="p">(</span><span class="n">input_data</span><span class="p">)</span>
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<span class="n">batch_size</span> <span class="o">=</span> <span class="n">input_dims</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span>
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<span class="n">seq_len</span> <span class="o">=</span> <span class="n">input_dims</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
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<span class="n">embed</span> <span class="o">=</span> <span class="n">get_embed</span><span class="p">(</span><span class="n">input_data</span><span class="p">,</span> <span class="n">vocab_size</span><span class="p">,</span> <span class="n">HYPER</span><span class="o">.</span><span class="n">embedding_size</span><span class="p">)</span>
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<span class="c1">## NOTES</span>
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<span class="c1"># dynamic rnn automatically takes the seq size in dim=1 [batch_size, max_time, ...] see: time_major==false (default)</span>
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<span class="c1">## Output shape</span>
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<span class="c1">## [batch_size, time_step, rnn_size]</span>
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<span class="n">raw_rnn_outputs</span><span class="p">,</span> <span class="n">final_state</span> <span class="o">=</span> <span class="n">build_rnn</span><span class="p">(</span><span class="n">cell</span><span class="p">,</span> <span class="n">embed</span><span class="p">)</span>
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<span class="c1"># Put outputs in rows</span>
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<span class="c1"># make the output into [batch_size*time_step, rnn_size] for easy matmul</span>
|
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<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">name_scope</span><span class="p">(</span><span class="s1">'sequence_reshape'</span><span class="p">):</span>
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<span class="n">outputs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">raw_rnn_outputs</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">rnn_size</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s1">'rnn_output'</span><span class="p">)</span>
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<span class="c1"># Question, why are we using linear activation and not softmax ?</span>
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<span class="c1"># My Guess: because seq2seq.sequence_loss has an efficient way to calculate the loss directly from logits </span>
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<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">name_scope</span><span class="p">(</span><span class="s1">'logits'</span><span class="p">):</span>
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<span class="n">linear_w</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">((</span><span class="n">rnn_size</span><span class="p">,</span> <span class="n">num_outputs</span><span class="p">),</span> <span class="n">stddev</span><span class="o">=</span><span class="mf">0.05</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'linear_w'</span><span class="p">)</span>
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<span class="n">linear_b</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">zeros</span><span class="p">(</span><span class="n">num_outputs</span><span class="p">),</span> <span class="n">name</span><span class="o">=</span><span class="s1">'linear_b'</span><span class="p">)</span>
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<span class="n">logits</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">linear_w</span><span class="p">)</span> <span class="o">+</span> <span class="n">linear_b</span>
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<span class="c1"># Reshape the logits back into the original input shape -> [batch_size, seq_len, num_classes]</span>
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<span class="c1"># We do this beceause the loss function seq2seq.sequence_loss takes as logits a shape of [batch_size,seq_len,num_decoded_symbols]</span>
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<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">name_scope</span><span class="p">(</span><span class="s1">'logits_reshape_to_loss'</span><span class="p">):</span>
|
|
<span class="n">logits</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">logits</span><span class="p">,</span> <span class="p">[</span><span class="n">batch_size</span><span class="p">,</span> <span class="n">seq_len</span><span class="p">,</span> <span class="n">num_outputs</span><span class="p">],</span> <span class="n">name</span><span class="o">=</span><span class="s1">'logits'</span><span class="p">)</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'logits after reshape: '</span><span class="p">,</span> <span class="n">logits</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">logits</span><span class="p">,</span> <span class="n">final_state</span>
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|
<span class="sd">"""</span>
|
|
<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
|
|
<span class="sd">"""</span>
|
|
<span class="n">tests</span><span class="o">.</span><span class="n">test_build_nn</span><span class="p">(</span><span class="n">build_nn</span><span class="p">)</span>
|
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</pre></div>
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<pre>logits after reshape: Tensor("logits_reshape_to_loss/logits:0", shape=(128, 5, 27), dtype=float32)
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Tests Passed
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<h3 id="Batches">Batches<a class="anchor-link" href="#Batches">¶</a></h3><p>Implement <code>get_batches</code> to create batches of input and targets using <code>int_text</code>. The batches should be a Numpy array with the shape <code>(number of batches, 2, batch size, sequence length)</code>. Each batch contains two elements:</p>
|
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<ul>
|
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<li>The first element is a single batch of <strong>input</strong> with the shape <code>[batch size, sequence length]</code></li>
|
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<li>The second element is a single batch of <strong>targets</strong> with the shape <code>[batch size, sequence length]</code></li>
|
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</ul>
|
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<p>If you can't fill the last batch with enough data, drop the last batch.</p>
|
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<p>For exmple, <code>get_batches([1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], 2, 3)</code> would return a Numpy array of the following:</p>
|
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<pre><code>[
|
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# First Batch
|
|
[
|
|
# Batch of Input
|
|
[[ 1 2 3], [ 7 8 9]],
|
|
# Batch of targets
|
|
[[ 2 3 4], [ 8 9 10]]
|
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],
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# Second Batch
|
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[
|
|
# Batch of Input
|
|
[[ 4 5 6], [10 11 12]],
|
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# Batch of targets
|
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[[ 5 6 7], [11 12 13]]
|
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]
|
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]</code></pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">t</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">,</span><span class="mi">3</span><span class="p">,</span><span class="mi">4</span><span class="p">])</span>
|
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<span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">shuffle</span><span class="p">(</span><span class="n">t</span><span class="p">)</span>
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<span class="n">t</span>
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</pre></div>
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<pre>array([4, 2, 1, 3])</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">get_batches</span><span class="p">(</span><span class="n">int_text</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">seq_length</span><span class="p">):</span>
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<span class="sd">"""</span>
|
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<span class="sd"> Return batches of input and target</span>
|
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<span class="sd"> :param int_text: Text with the words replaced by their ids</span>
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<span class="sd"> :param batch_size: The size of batch</span>
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<span class="sd"> :param seq_length: The length of sequence</span>
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<span class="sd"> :return: Batches as a Numpy array</span>
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<span class="sd"> """</span>
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<span class="n">slice_size</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">batch_size</span> <span class="o">*</span> <span class="n">seq_length</span><span class="p">)</span>
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<span class="n">n_batches</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">int_text</span><span class="p">)</span><span class="o">/</span><span class="n">slice_size</span><span class="p">)</span>
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<span class="k">assert</span> <span class="n">n_batches</span> <span class="o">></span> <span class="mi">0</span><span class="p">,</span> <span class="s1">'Maybe your batch size is too big ?'</span>
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<span class="nb">print</span><span class="p">(</span><span class="s1">'n_batches </span><span class="si">{}</span><span class="se">\n</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">n_batches</span><span class="p">))</span>
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<span class="c1"># input part</span>
|
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<span class="n">_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">int_text</span><span class="p">[:</span><span class="n">n_batches</span><span class="o">*</span><span class="n">slice_size</span><span class="p">])</span>
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<span class="c1"># target part</span>
|
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<span class="n">_targets</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">int_text</span><span class="p">[</span><span class="mi">1</span><span class="p">:</span><span class="n">n_batches</span><span class="o">*</span><span class="n">slice_size</span> <span class="o">+</span> <span class="mi">1</span><span class="p">])</span>
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<span class="c1"># Group inputs, targets into n_batches x seq_len items </span>
|
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<span class="n">inputs</span><span class="p">,</span> <span class="n">targets</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">_inputs</span><span class="p">,</span> <span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">n_batches</span><span class="p">,</span> <span class="n">seq_length</span><span class="p">)),</span> <span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">_targets</span><span class="p">,</span> <span class="p">(</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="n">n_batches</span><span class="p">,</span> <span class="n">seq_length</span><span class="p">))</span>
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<span class="c1"># Look through the n_batches axes</span>
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<span class="c1">#print(inputs[:,0,:])</span>
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<span class="c1"># Swatch the 0 axis with n_batches axes, now 0 axis is n_batches axis</span>
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<span class="n">inputs</span><span class="p">,</span> <span class="n">targets</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">swapaxes</span><span class="p">(</span><span class="n">targets</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">)</span>
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<span class="c1"># stack inputs and targets on columns</span>
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<span class="n">batches</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">((</span><span class="n">inputs</span><span class="p">,</span> <span class="n">targets</span><span class="p">))</span>
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<span class="c1"># Reshape into final batches output</span>
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<span class="n">batches</span> <span class="o">=</span> <span class="n">batches</span><span class="o">.</span><span class="n">reshape</span><span class="p">((</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">seq_length</span><span class="p">))</span>
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<span class="k">return</span> <span class="n">batches</span>
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<span class="c1">#Check first batch result</span>
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<span class="c1">#print(get_batches(np.arange(1,200,1), 20, 3)[0])</span>
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<span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
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<span class="sd">"""</span>
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<span class="n">tests</span><span class="o">.</span><span class="n">test_get_batches</span><span class="p">(</span><span class="n">get_batches</span><span class="p">)</span>
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</pre></div>
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<pre>n_batches 7
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Tests Passed
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</pre>
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<h2 id="Neural-Network-Training">Neural Network Training<a class="anchor-link" href="#Neural-Network-Training">¶</a></h2><h3 id="Hyperparameters">Hyperparameters<a class="anchor-link" href="#Hyperparameters">¶</a></h3><p>Tune the following parameters:</p>
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<ul>
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<li>Set <code>num_epochs</code> to the number of epochs.</li>
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<li>Set <code>batch_size</code> to the batch size.</li>
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<li>Set <code>rnn_size</code> to the size of the RNNs.</li>
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<li>Set <code>seq_length</code> to the length of sequence.</li>
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<li>Set <code>learning_rate</code> to the learning rate.</li>
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<li>Set <code>show_every_n_batches</code> to the number of batches the neural network should print progress.</li>
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</ul>
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<div class="input">
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<div class="prompt input_prompt">In [107]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Number of Epochs</span>
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<span class="n">num_epochs</span> <span class="o">=</span> <span class="mi">100</span>
|
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<span class="c1"># Batch Size</span>
|
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<span class="n">batch_size</span> <span class="o">=</span> <span class="mi">256</span>
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<span class="c1"># RNN Size</span>
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<span class="n">rnn_size</span> <span class="o">=</span> <span class="mi">128</span>
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<span class="c1"># Sequence Length</span>
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<span class="c1"># Use the mean of sentences length as sequence length</span>
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<span class="n">seq_length</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">s_lengths</span><span class="o">.</span><span class="n">mean</span><span class="p">())</span>
|
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<span class="c1"># Learning Rate</span>
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<span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">1e-2</span>
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<span class="c1"># Show stats for every n number of batches</span>
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<span class="n">show_every_n_batches</span> <span class="o">=</span> <span class="mi">10</span>
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<span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
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<span class="sd">"""</span>
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<span class="n">save_dir</span> <span class="o">=</span> <span class="s1">'./save'</span>
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</pre></div>
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<h3 id="Build-the-Graph">Build the Graph<a class="anchor-link" href="#Build-the-Graph">¶</a></h3><p>Build the graph using the neural network you implemented.</p>
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<div class="prompt input_prompt">In [109]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
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<span class="sd">"""</span>
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<span class="kn">from</span> <span class="nn">tensorflow.contrib</span> <span class="k">import</span> <span class="n">seq2seq</span>
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<span class="n">train_graph</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Graph</span><span class="p">()</span>
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<span class="k">with</span> <span class="n">train_graph</span><span class="o">.</span><span class="n">as_default</span><span class="p">():</span>
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<span class="n">vocab_size</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">int_to_vocab</span><span class="p">)</span>
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<span class="n">input_text</span><span class="p">,</span> <span class="n">targets</span><span class="p">,</span> <span class="n">lr</span> <span class="o">=</span> <span class="n">get_inputs</span><span class="p">()</span>
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<span class="n">input_data_shape</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">shape</span><span class="p">(</span><span class="n">input_text</span><span class="p">)</span>
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<span class="n">cell</span><span class="p">,</span> <span class="n">initial_state</span> <span class="o">=</span> <span class="n">get_init_cell</span><span class="p">(</span><span class="n">input_data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">rnn_size</span><span class="p">)</span>
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<span class="n">logits</span><span class="p">,</span> <span class="n">final_state</span> <span class="o">=</span> <span class="n">build_nn</span><span class="p">(</span><span class="n">cell</span><span class="p">,</span> <span class="n">rnn_size</span><span class="p">,</span> <span class="n">input_text</span><span class="p">,</span> <span class="n">vocab_size</span><span class="p">)</span>
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<span class="c1"># Probabilities for generating words</span>
|
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<span class="n">probs</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">softmax</span><span class="p">(</span><span class="n">logits</span><span class="p">,</span> <span class="n">name</span><span class="o">=</span><span class="s1">'probs'</span><span class="p">)</span>
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<span class="c1"># Loss function</span>
|
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<span class="n">cost</span> <span class="o">=</span> <span class="n">seq2seq</span><span class="o">.</span><span class="n">sequence_loss</span><span class="p">(</span>
|
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<span class="n">logits</span><span class="p">,</span>
|
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<span class="n">targets</span><span class="p">,</span>
|
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<span class="n">tf</span><span class="o">.</span><span class="n">ones</span><span class="p">([</span><span class="n">input_data_shape</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">input_data_shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]]))</span>
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|
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<span class="c1"># Optimizer</span>
|
|
<span class="n">optimizer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">AdamOptimizer</span><span class="p">(</span><span class="n">lr</span><span class="p">)</span>
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|
|
<span class="c1"># Gradient Clipping</span>
|
|
<span class="n">gradients</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">compute_gradients</span><span class="p">(</span><span class="n">cost</span><span class="p">)</span>
|
|
<span class="n">capped_gradients</span> <span class="o">=</span> <span class="p">[(</span><span class="n">tf</span><span class="o">.</span><span class="n">clip_by_value</span><span class="p">(</span><span class="n">grad</span><span class="p">,</span> <span class="o">-</span><span class="mf">1.</span><span class="p">,</span> <span class="mf">1.</span><span class="p">),</span> <span class="n">var</span><span class="p">)</span> <span class="k">for</span> <span class="n">grad</span><span class="p">,</span> <span class="n">var</span> <span class="ow">in</span> <span class="n">gradients</span><span class="p">]</span>
|
|
<span class="n">train_op</span> <span class="o">=</span> <span class="n">optimizer</span><span class="o">.</span><span class="n">apply_gradients</span><span class="p">(</span><span class="n">capped_gradients</span><span class="p">)</span>
|
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</pre></div>
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</div>
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</div>
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<pre>logits after reshape: Tensor("logits_reshape_to_loss/logits:0", shape=(?, ?, 6779), dtype=float32)
|
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</pre>
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</div>
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<div class="prompt input_prompt">In [36]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># write out the graph for tensorboard</span>
|
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|
|
<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">(</span><span class="n">graph</span><span class="o">=</span><span class="n">train_graph</span><span class="p">)</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
|
|
<span class="n">file_writer</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">summary</span><span class="o">.</span><span class="n">FileWriter</span><span class="p">(</span><span class="s1">'./logs/1'</span><span class="p">,</span> <span class="n">sess</span><span class="o">.</span><span class="n">graph</span><span class="p">)</span>
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</pre></div>
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<div class="prompt input_prompt">
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<h2 id="Train">Train<a class="anchor-link" href="#Train">¶</a></h2><p>Train the neural network on the preprocessed data. If you have a hard time getting a good loss, check the <a href="https://discussions.udacity.com/">forms</a> to see if anyone is having the same problem.</p>
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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 [110]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">"""</span>
|
|
<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
|
|
<span class="sd">"""</span>
|
|
<span class="n">batches</span> <span class="o">=</span> <span class="n">get_batches</span><span class="p">(</span><span class="n">int_text</span><span class="p">,</span> <span class="n">batch_size</span><span class="p">,</span> <span class="n">seq_length</span><span class="p">)</span>
|
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<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">(</span><span class="n">graph</span><span class="o">=</span><span class="n">train_graph</span><span class="p">)</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
|
|
<span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
|
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|
|
<span class="k">for</span> <span class="n">epoch_i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">num_epochs</span><span class="p">):</span>
|
|
<span class="n">state</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">initial_state</span><span class="p">,</span> <span class="p">{</span><span class="n">input_text</span><span class="p">:</span> <span class="n">batches</span><span class="p">[</span><span class="mi">0</span><span class="p">][</span><span class="mi">0</span><span class="p">]})</span>
|
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|
<span class="k">for</span> <span class="n">batch_i</span><span class="p">,</span> <span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">)</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">batches</span><span class="p">):</span>
|
|
<span class="n">feed</span> <span class="o">=</span> <span class="p">{</span>
|
|
<span class="n">input_text</span><span class="p">:</span> <span class="n">x</span><span class="p">,</span>
|
|
<span class="n">targets</span><span class="p">:</span> <span class="n">y</span><span class="p">,</span>
|
|
<span class="n">initial_state</span><span class="p">:</span> <span class="n">state</span><span class="p">,</span>
|
|
<span class="n">lr</span><span class="p">:</span> <span class="n">learning_rate</span><span class="p">}</span>
|
|
<span class="n">train_loss</span><span class="p">,</span> <span class="n">state</span><span class="p">,</span> <span class="n">_</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">([</span><span class="n">cost</span><span class="p">,</span> <span class="n">final_state</span><span class="p">,</span> <span class="n">train_op</span><span class="p">],</span> <span class="n">feed</span><span class="p">)</span>
|
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|
|
<span class="c1"># Show every <show_every_n_batches> batches</span>
|
|
<span class="k">if</span> <span class="p">(</span><span class="n">epoch_i</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">batches</span><span class="p">)</span> <span class="o">+</span> <span class="n">batch_i</span><span class="p">)</span> <span class="o">%</span> <span class="n">show_every_n_batches</span> <span class="o">==</span> <span class="mi">0</span><span class="p">:</span>
|
|
<span class="nb">print</span><span class="p">(</span><span class="s1">'Epoch </span><span class="si">{:>3}</span><span class="s1"> Batch </span><span class="si">{:>4}</span><span class="s1">/</span><span class="si">{}</span><span class="s1"> train_loss = </span><span class="si">{:.3f}</span><span class="s1">'</span><span class="o">.</span><span class="n">format</span><span class="p">(</span>
|
|
<span class="n">epoch_i</span><span class="p">,</span>
|
|
<span class="n">batch_i</span><span class="p">,</span>
|
|
<span class="nb">len</span><span class="p">(</span><span class="n">batches</span><span class="p">),</span>
|
|
<span class="n">train_loss</span><span class="p">))</span>
|
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|
|
<span class="c1"># Save Model</span>
|
|
<span class="n">saver</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">Saver</span><span class="p">()</span>
|
|
<span class="n">saver</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="n">save_dir</span><span class="p">)</span>
|
|
<span class="nb">print</span><span class="p">(</span><span class="s1">'Model Trained and Saved'</span><span class="p">)</span>
|
|
</pre></div>
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<pre>n_batches 24
|
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|
|
Epoch 0 Batch 0/24 train_loss = 8.821
|
|
Epoch 0 Batch 10/24 train_loss = 6.639
|
|
Epoch 0 Batch 20/24 train_loss = 6.516
|
|
Epoch 1 Batch 6/24 train_loss = 6.023
|
|
Epoch 1 Batch 16/24 train_loss = 6.070
|
|
Epoch 2 Batch 2/24 train_loss = 5.976
|
|
Epoch 2 Batch 12/24 train_loss = 6.045
|
|
Epoch 2 Batch 22/24 train_loss = 5.987
|
|
Epoch 3 Batch 8/24 train_loss = 5.959
|
|
Epoch 3 Batch 18/24 train_loss = 5.839
|
|
Epoch 4 Batch 4/24 train_loss = 5.702
|
|
Epoch 4 Batch 14/24 train_loss = 5.684
|
|
Epoch 5 Batch 0/24 train_loss = 5.578
|
|
Epoch 5 Batch 10/24 train_loss = 5.687
|
|
Epoch 5 Batch 20/24 train_loss = 5.597
|
|
Epoch 6 Batch 6/24 train_loss = 5.504
|
|
Epoch 6 Batch 16/24 train_loss = 5.442
|
|
Epoch 7 Batch 2/24 train_loss = 5.276
|
|
Epoch 7 Batch 12/24 train_loss = 5.422
|
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Epoch 7 Batch 22/24 train_loss = 5.317
|
|
Epoch 8 Batch 8/24 train_loss = 5.296
|
|
Epoch 8 Batch 18/24 train_loss = 5.165
|
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Epoch 9 Batch 4/24 train_loss = 5.019
|
|
Epoch 9 Batch 14/24 train_loss = 4.972
|
|
Epoch 10 Batch 0/24 train_loss = 4.883
|
|
Epoch 10 Batch 10/24 train_loss = 4.991
|
|
Epoch 10 Batch 20/24 train_loss = 4.891
|
|
Epoch 11 Batch 6/24 train_loss = 4.799
|
|
Epoch 11 Batch 16/24 train_loss = 4.764
|
|
Epoch 12 Batch 2/24 train_loss = 4.581
|
|
Epoch 12 Batch 12/24 train_loss = 4.673
|
|
Epoch 12 Batch 22/24 train_loss = 4.586
|
|
Epoch 13 Batch 8/24 train_loss = 4.603
|
|
Epoch 13 Batch 18/24 train_loss = 4.454
|
|
Epoch 14 Batch 4/24 train_loss = 4.280
|
|
Epoch 14 Batch 14/24 train_loss = 4.301
|
|
Epoch 15 Batch 0/24 train_loss = 4.275
|
|
Epoch 15 Batch 10/24 train_loss = 4.371
|
|
Epoch 15 Batch 20/24 train_loss = 4.248
|
|
Epoch 16 Batch 6/24 train_loss = 4.220
|
|
Epoch 16 Batch 16/24 train_loss = 4.169
|
|
Epoch 17 Batch 2/24 train_loss = 3.998
|
|
Epoch 17 Batch 12/24 train_loss = 4.083
|
|
Epoch 17 Batch 22/24 train_loss = 3.965
|
|
Epoch 18 Batch 8/24 train_loss = 3.985
|
|
Epoch 18 Batch 18/24 train_loss = 3.911
|
|
Epoch 19 Batch 4/24 train_loss = 3.733
|
|
Epoch 19 Batch 14/24 train_loss = 3.779
|
|
Epoch 20 Batch 0/24 train_loss = 3.714
|
|
Epoch 20 Batch 10/24 train_loss = 3.793
|
|
Epoch 20 Batch 20/24 train_loss = 3.735
|
|
Epoch 21 Batch 6/24 train_loss = 3.713
|
|
Epoch 21 Batch 16/24 train_loss = 3.677
|
|
Epoch 22 Batch 2/24 train_loss = 3.518
|
|
Epoch 22 Batch 12/24 train_loss = 3.561
|
|
Epoch 22 Batch 22/24 train_loss = 3.501
|
|
Epoch 23 Batch 8/24 train_loss = 3.499
|
|
Epoch 23 Batch 18/24 train_loss = 3.451
|
|
Epoch 24 Batch 4/24 train_loss = 3.291
|
|
Epoch 24 Batch 14/24 train_loss = 3.295
|
|
Epoch 25 Batch 0/24 train_loss = 3.271
|
|
Epoch 25 Batch 10/24 train_loss = 3.331
|
|
Epoch 25 Batch 20/24 train_loss = 3.256
|
|
Epoch 26 Batch 6/24 train_loss = 3.238
|
|
Epoch 26 Batch 16/24 train_loss = 3.167
|
|
Epoch 27 Batch 2/24 train_loss = 3.038
|
|
Epoch 27 Batch 12/24 train_loss = 3.106
|
|
Epoch 27 Batch 22/24 train_loss = 2.985
|
|
Epoch 28 Batch 8/24 train_loss = 3.011
|
|
Epoch 28 Batch 18/24 train_loss = 2.991
|
|
Epoch 29 Batch 4/24 train_loss = 2.907
|
|
Epoch 29 Batch 14/24 train_loss = 2.891
|
|
Epoch 30 Batch 0/24 train_loss = 2.911
|
|
Epoch 30 Batch 10/24 train_loss = 2.948
|
|
Epoch 30 Batch 20/24 train_loss = 2.903
|
|
Epoch 31 Batch 6/24 train_loss = 2.885
|
|
Epoch 31 Batch 16/24 train_loss = 2.808
|
|
Epoch 32 Batch 2/24 train_loss = 2.670
|
|
Epoch 32 Batch 12/24 train_loss = 2.701
|
|
Epoch 32 Batch 22/24 train_loss = 2.591
|
|
Epoch 33 Batch 8/24 train_loss = 2.579
|
|
Epoch 33 Batch 18/24 train_loss = 2.603
|
|
Epoch 34 Batch 4/24 train_loss = 2.498
|
|
Epoch 34 Batch 14/24 train_loss = 2.504
|
|
Epoch 35 Batch 0/24 train_loss = 2.482
|
|
Epoch 35 Batch 10/24 train_loss = 2.530
|
|
Epoch 35 Batch 20/24 train_loss = 2.489
|
|
Epoch 36 Batch 6/24 train_loss = 2.486
|
|
Epoch 36 Batch 16/24 train_loss = 2.417
|
|
Epoch 37 Batch 2/24 train_loss = 2.320
|
|
Epoch 37 Batch 12/24 train_loss = 2.348
|
|
Epoch 37 Batch 22/24 train_loss = 2.287
|
|
Epoch 38 Batch 8/24 train_loss = 2.245
|
|
Epoch 38 Batch 18/24 train_loss = 2.322
|
|
Epoch 39 Batch 4/24 train_loss = 2.230
|
|
Epoch 39 Batch 14/24 train_loss = 2.234
|
|
Epoch 40 Batch 0/24 train_loss = 2.223
|
|
Epoch 40 Batch 10/24 train_loss = 2.263
|
|
Epoch 40 Batch 20/24 train_loss = 2.267
|
|
Epoch 41 Batch 6/24 train_loss = 2.251
|
|
Epoch 41 Batch 16/24 train_loss = 2.179
|
|
Epoch 42 Batch 2/24 train_loss = 2.121
|
|
Epoch 42 Batch 12/24 train_loss = 2.155
|
|
Epoch 42 Batch 22/24 train_loss = 2.100
|
|
Epoch 43 Batch 8/24 train_loss = 2.031
|
|
Epoch 43 Batch 18/24 train_loss = 2.134
|
|
Epoch 44 Batch 4/24 train_loss = 2.016
|
|
Epoch 44 Batch 14/24 train_loss = 2.027
|
|
Epoch 45 Batch 0/24 train_loss = 2.049
|
|
Epoch 45 Batch 10/24 train_loss = 2.042
|
|
Epoch 45 Batch 20/24 train_loss = 2.060
|
|
Epoch 46 Batch 6/24 train_loss = 2.031
|
|
Epoch 46 Batch 16/24 train_loss = 1.943
|
|
Epoch 47 Batch 2/24 train_loss = 1.888
|
|
Epoch 47 Batch 12/24 train_loss = 1.901
|
|
Epoch 47 Batch 22/24 train_loss = 1.881
|
|
Epoch 48 Batch 8/24 train_loss = 1.794
|
|
Epoch 48 Batch 18/24 train_loss = 1.910
|
|
Epoch 49 Batch 4/24 train_loss = 1.802
|
|
Epoch 49 Batch 14/24 train_loss = 1.839
|
|
Epoch 50 Batch 0/24 train_loss = 1.860
|
|
Epoch 50 Batch 10/24 train_loss = 1.836
|
|
Epoch 50 Batch 20/24 train_loss = 1.834
|
|
Epoch 51 Batch 6/24 train_loss = 1.841
|
|
Epoch 51 Batch 16/24 train_loss = 1.803
|
|
Epoch 52 Batch 2/24 train_loss = 1.735
|
|
Epoch 52 Batch 12/24 train_loss = 1.723
|
|
Epoch 52 Batch 22/24 train_loss = 1.692
|
|
Epoch 53 Batch 8/24 train_loss = 1.636
|
|
Epoch 53 Batch 18/24 train_loss = 1.754
|
|
Epoch 54 Batch 4/24 train_loss = 1.671
|
|
Epoch 54 Batch 14/24 train_loss = 1.657
|
|
Epoch 55 Batch 0/24 train_loss = 1.722
|
|
Epoch 55 Batch 10/24 train_loss = 1.697
|
|
Epoch 55 Batch 20/24 train_loss = 1.719
|
|
Epoch 56 Batch 6/24 train_loss = 1.689
|
|
Epoch 56 Batch 16/24 train_loss = 1.624
|
|
Epoch 57 Batch 2/24 train_loss = 1.592
|
|
Epoch 57 Batch 12/24 train_loss = 1.616
|
|
Epoch 57 Batch 22/24 train_loss = 1.556
|
|
Epoch 58 Batch 8/24 train_loss = 1.525
|
|
Epoch 58 Batch 18/24 train_loss = 1.592
|
|
Epoch 59 Batch 4/24 train_loss = 1.547
|
|
Epoch 59 Batch 14/24 train_loss = 1.549
|
|
Epoch 60 Batch 0/24 train_loss = 1.570
|
|
Epoch 60 Batch 10/24 train_loss = 1.530
|
|
Epoch 60 Batch 20/24 train_loss = 1.580
|
|
Epoch 61 Batch 6/24 train_loss = 1.540
|
|
Epoch 61 Batch 16/24 train_loss = 1.496
|
|
Epoch 62 Batch 2/24 train_loss = 1.459
|
|
Epoch 62 Batch 12/24 train_loss = 1.450
|
|
Epoch 62 Batch 22/24 train_loss = 1.432
|
|
Epoch 63 Batch 8/24 train_loss = 1.387
|
|
Epoch 63 Batch 18/24 train_loss = 1.483
|
|
Epoch 64 Batch 4/24 train_loss = 1.414
|
|
Epoch 64 Batch 14/24 train_loss = 1.430
|
|
Epoch 65 Batch 0/24 train_loss = 1.452
|
|
Epoch 65 Batch 10/24 train_loss = 1.433
|
|
Epoch 65 Batch 20/24 train_loss = 1.496
|
|
Epoch 66 Batch 6/24 train_loss = 1.447
|
|
Epoch 66 Batch 16/24 train_loss = 1.436
|
|
Epoch 67 Batch 2/24 train_loss = 1.398
|
|
Epoch 67 Batch 12/24 train_loss = 1.409
|
|
Epoch 67 Batch 22/24 train_loss = 1.404
|
|
Epoch 68 Batch 8/24 train_loss = 1.339
|
|
Epoch 68 Batch 18/24 train_loss = 1.429
|
|
Epoch 69 Batch 4/24 train_loss = 1.371
|
|
Epoch 69 Batch 14/24 train_loss = 1.402
|
|
Epoch 70 Batch 0/24 train_loss = 1.439
|
|
Epoch 70 Batch 10/24 train_loss = 1.382
|
|
Epoch 70 Batch 20/24 train_loss = 1.436
|
|
Epoch 71 Batch 6/24 train_loss = 1.411
|
|
Epoch 71 Batch 16/24 train_loss = 1.379
|
|
Epoch 72 Batch 2/24 train_loss = 1.347
|
|
Epoch 72 Batch 12/24 train_loss = 1.326
|
|
Epoch 72 Batch 22/24 train_loss = 1.335
|
|
Epoch 73 Batch 8/24 train_loss = 1.284
|
|
Epoch 73 Batch 18/24 train_loss = 1.369
|
|
Epoch 74 Batch 4/24 train_loss = 1.308
|
|
Epoch 74 Batch 14/24 train_loss = 1.305
|
|
Epoch 75 Batch 0/24 train_loss = 1.329
|
|
Epoch 75 Batch 10/24 train_loss = 1.291
|
|
Epoch 75 Batch 20/24 train_loss = 1.345
|
|
Epoch 76 Batch 6/24 train_loss = 1.303
|
|
Epoch 76 Batch 16/24 train_loss = 1.287
|
|
Epoch 77 Batch 2/24 train_loss = 1.260
|
|
Epoch 77 Batch 12/24 train_loss = 1.229
|
|
Epoch 77 Batch 22/24 train_loss = 1.228
|
|
Epoch 78 Batch 8/24 train_loss = 1.176
|
|
Epoch 78 Batch 18/24 train_loss = 1.247
|
|
Epoch 79 Batch 4/24 train_loss = 1.176
|
|
Epoch 79 Batch 14/24 train_loss = 1.211
|
|
Epoch 80 Batch 0/24 train_loss = 1.255
|
|
Epoch 80 Batch 10/24 train_loss = 1.214
|
|
Epoch 80 Batch 20/24 train_loss = 1.233
|
|
Epoch 81 Batch 6/24 train_loss = 1.194
|
|
Epoch 81 Batch 16/24 train_loss = 1.173
|
|
Epoch 82 Batch 2/24 train_loss = 1.179
|
|
Epoch 82 Batch 12/24 train_loss = 1.115
|
|
Epoch 82 Batch 22/24 train_loss = 1.123
|
|
Epoch 83 Batch 8/24 train_loss = 1.058
|
|
Epoch 83 Batch 18/24 train_loss = 1.138
|
|
Epoch 84 Batch 4/24 train_loss = 1.085
|
|
Epoch 84 Batch 14/24 train_loss = 1.120
|
|
Epoch 85 Batch 0/24 train_loss = 1.157
|
|
Epoch 85 Batch 10/24 train_loss = 1.081
|
|
Epoch 85 Batch 20/24 train_loss = 1.157
|
|
Epoch 86 Batch 6/24 train_loss = 1.129
|
|
Epoch 86 Batch 16/24 train_loss = 1.081
|
|
Epoch 87 Batch 2/24 train_loss = 1.078
|
|
Epoch 87 Batch 12/24 train_loss = 1.033
|
|
Epoch 87 Batch 22/24 train_loss = 1.048
|
|
Epoch 88 Batch 8/24 train_loss = 1.021
|
|
Epoch 88 Batch 18/24 train_loss = 1.088
|
|
Epoch 89 Batch 4/24 train_loss = 1.019
|
|
Epoch 89 Batch 14/24 train_loss = 1.046
|
|
Epoch 90 Batch 0/24 train_loss = 1.085
|
|
Epoch 90 Batch 10/24 train_loss = 1.045
|
|
Epoch 90 Batch 20/24 train_loss = 1.093
|
|
Epoch 91 Batch 6/24 train_loss = 1.056
|
|
Epoch 91 Batch 16/24 train_loss = 1.035
|
|
Epoch 92 Batch 2/24 train_loss = 1.047
|
|
Epoch 92 Batch 12/24 train_loss = 1.002
|
|
Epoch 92 Batch 22/24 train_loss = 1.011
|
|
Epoch 93 Batch 8/24 train_loss = 0.952
|
|
Epoch 93 Batch 18/24 train_loss = 1.036
|
|
Epoch 94 Batch 4/24 train_loss = 0.982
|
|
Epoch 94 Batch 14/24 train_loss = 1.020
|
|
Epoch 95 Batch 0/24 train_loss = 1.029
|
|
Epoch 95 Batch 10/24 train_loss = 0.961
|
|
Epoch 95 Batch 20/24 train_loss = 0.999
|
|
Epoch 96 Batch 6/24 train_loss = 0.982
|
|
Epoch 96 Batch 16/24 train_loss = 0.979
|
|
Epoch 97 Batch 2/24 train_loss = 0.980
|
|
Epoch 97 Batch 12/24 train_loss = 0.938
|
|
Epoch 97 Batch 22/24 train_loss = 0.939
|
|
Epoch 98 Batch 8/24 train_loss = 0.902
|
|
Epoch 98 Batch 18/24 train_loss = 0.976
|
|
Epoch 99 Batch 4/24 train_loss = 0.920
|
|
Epoch 99 Batch 14/24 train_loss = 0.949
|
|
Model Trained and Saved
|
|
</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">
|
|
<h2 id="Save-Parameters">Save Parameters<a class="anchor-link" href="#Save-Parameters">¶</a></h2><p>Save <code>seq_length</code> and <code>save_dir</code> for generating a new TV script.</p>
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="cell border-box-sizing code_cell rendered">
|
|
<div class="input">
|
|
<div class="prompt input_prompt">In [111]:</div>
|
|
<div class="inner_cell">
|
|
<div class="input_area">
|
|
<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">"""</span>
|
|
<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
|
|
<span class="sd">"""</span>
|
|
<span class="c1"># Save parameters for checkpoint</span>
|
|
<span class="n">helper</span><span class="o">.</span><span class="n">save_params</span><span class="p">((</span><span class="n">seq_length</span><span class="p">,</span> <span class="n">save_dir</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="Checkpoint">Checkpoint<a class="anchor-link" href="#Checkpoint">¶</a></h1>
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="cell border-box-sizing code_cell rendered">
|
|
<div class="input">
|
|
<div class="prompt input_prompt">In [112]:</div>
|
|
<div class="inner_cell">
|
|
<div class="input_area">
|
|
<div class=" highlight hl-ipython3"><pre><span></span><span class="sd">"""</span>
|
|
<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL</span>
|
|
<span class="sd">"""</span>
|
|
<span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</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">helper</span>
|
|
<span class="kn">import</span> <span class="nn">problem_unittests</span> <span class="k">as</span> <span class="nn">tests</span>
|
|
|
|
<span class="n">_</span><span class="p">,</span> <span class="n">vocab_to_int</span><span class="p">,</span> <span class="n">int_to_vocab</span><span class="p">,</span> <span class="n">token_dict</span> <span class="o">=</span> <span class="n">helper</span><span class="o">.</span><span class="n">load_preprocess</span><span class="p">()</span>
|
|
<span class="n">seq_length</span><span class="p">,</span> <span class="n">load_dir</span> <span class="o">=</span> <span class="n">helper</span><span class="o">.</span><span class="n">load_params</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">
|
|
<h2 id="Implement-Generate-Functions">Implement Generate Functions<a class="anchor-link" href="#Implement-Generate-Functions">¶</a></h2><h3 id="Get-Tensors">Get Tensors<a class="anchor-link" href="#Get-Tensors">¶</a></h3><p>Get tensors from <code>loaded_graph</code> using the function <a href="https://www.tensorflow.org/api_docs/python/tf/Graph#get_tensor_by_name"><code>get_tensor_by_name()</code></a>. Get the tensors using the following names:</p>
|
|
<ul>
|
|
<li>"input:0"</li>
|
|
<li>"initial_state:0"</li>
|
|
<li>"final_state:0"</li>
|
|
<li>"probs:0"</li>
|
|
</ul>
|
|
<p>Return the tensors in the following tuple <code>(InputTensor, InitialStateTensor, FinalStateTensor, ProbsTensor)</code></p>
|
|
|
|
</div>
|
|
</div>
|
|
</div>
|
|
<div class="cell border-box-sizing code_cell rendered">
|
|
<div class="input">
|
|
<div class="prompt input_prompt">In [113]:</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">get_tensors</span><span class="p">(</span><span class="n">loaded_graph</span><span class="p">):</span>
|
|
<span class="sd">"""</span>
|
|
<span class="sd"> Get input, initial state, final state, and probabilities tensor from <loaded_graph></span>
|
|
<span class="sd"> :param loaded_graph: TensorFlow graph loaded from file</span>
|
|
<span class="sd"> :return: Tuple (InputTensor, InitialStateTensor, FinalStateTensor, ProbsTensor)</span>
|
|
<span class="sd"> """</span>
|
|
|
|
<span class="n">t_input</span> <span class="o">=</span> <span class="n">loaded_graph</span><span class="o">.</span><span class="n">get_tensor_by_name</span><span class="p">(</span><span class="s1">'input:0'</span><span class="p">)</span>
|
|
<span class="n">t_initial_state</span> <span class="o">=</span> <span class="n">loaded_graph</span><span class="o">.</span><span class="n">get_tensor_by_name</span><span class="p">(</span><span class="s1">'initial_state:0'</span><span class="p">)</span>
|
|
<span class="n">t_final_state</span> <span class="o">=</span> <span class="n">loaded_graph</span><span class="o">.</span><span class="n">get_tensor_by_name</span><span class="p">(</span><span class="s1">'final_state:0'</span><span class="p">)</span>
|
|
<span class="n">t_probs</span> <span class="o">=</span> <span class="n">loaded_graph</span><span class="o">.</span><span class="n">get_tensor_by_name</span><span class="p">(</span><span class="s1">'probs:0'</span><span class="p">)</span>
|
|
<span class="k">return</span> <span class="n">t_input</span><span class="p">,</span> <span class="n">t_initial_state</span><span class="p">,</span> <span class="n">t_final_state</span><span class="p">,</span> <span class="n">t_probs</span>
|
|
|
|
|
|
<span class="sd">"""</span>
|
|
<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
|
|
<span class="sd">"""</span>
|
|
<span class="n">tests</span><span class="o">.</span><span class="n">test_get_tensors</span><span class="p">(</span><span class="n">get_tensors</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>Tests Passed
|
|
</pre>
|
|
</div>
|
|
</div>
|
|
|
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<h3 id="Choose-Word">Choose Word<a class="anchor-link" href="#Choose-Word">¶</a></h3><p>Implement the <code>pick_word()</code> function to select the next word using <code>probabilities</code>.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="k">def</span> <span class="nf">pick_word</span><span class="p">(</span><span class="n">probabilities</span><span class="p">,</span> <span class="n">int_to_vocab</span><span class="p">):</span>
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<span class="sd">"""</span>
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<span class="sd"> Pick the next word in the generated text</span>
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<span class="sd"> :param probabilities: Probabilites of the next word</span>
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<span class="sd"> :param int_to_vocab: Dictionary of word ids as the keys and words as the values</span>
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<span class="sd"> :return: String of the predicted word</span>
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<span class="sd"> """</span>
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<span class="n">word_p</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">choice</span><span class="p">(</span><span class="n">probabilities</span><span class="p">,</span><span class="n">p</span><span class="o">=</span><span class="n">probabilities</span><span class="p">)</span>
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<span class="n">word</span> <span class="o">=</span> <span class="n">probabilities</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span><span class="o">.</span><span class="n">index</span><span class="p">(</span><span class="n">word_p</span><span class="p">)</span>
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<span class="k">return</span> <span class="n">int_to_vocab</span><span class="p">[</span><span class="n">word</span><span class="p">]</span>
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<span class="sd">"""</span>
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<span class="sd">DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE</span>
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<span class="sd">"""</span>
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<span class="n">tests</span><span class="o">.</span><span class="n">test_pick_word</span><span class="p">(</span><span class="n">pick_word</span><span class="p">)</span>
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<pre>Tests Passed
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<h2 id="Generate-TV-Script">Generate TV Script<a class="anchor-link" href="#Generate-TV-Script">¶</a></h2><p>This will generate the TV script for you. Set <code>gen_length</code> to the length of TV script you want to generate.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">gen_length</span> <span class="o">=</span> <span class="mi">200</span>
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<span class="c1"># homer_simpson, moe_szyslak, or Barney_Gumble</span>
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<span class="n">prime_word</span> <span class="o">=</span> <span class="s1">'moe_szyslak'</span>
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<span class="sd">"""</span>
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<span class="sd">"""</span>
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<span class="n">loaded_graph</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Graph</span><span class="p">()</span>
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<span class="k">with</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">(</span><span class="n">graph</span><span class="o">=</span><span class="n">loaded_graph</span><span class="p">)</span> <span class="k">as</span> <span class="n">sess</span><span class="p">:</span>
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<span class="c1"># Load saved model</span>
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<span class="n">loader</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">import_meta_graph</span><span class="p">(</span><span class="n">load_dir</span> <span class="o">+</span> <span class="s1">'.meta'</span><span class="p">)</span>
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<span class="n">loader</span><span class="o">.</span><span class="n">restore</span><span class="p">(</span><span class="n">sess</span><span class="p">,</span> <span class="n">load_dir</span><span class="p">)</span>
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<span class="c1"># Get Tensors from loaded model</span>
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<span class="n">input_text</span><span class="p">,</span> <span class="n">initial_state</span><span class="p">,</span> <span class="n">final_state</span><span class="p">,</span> <span class="n">probs</span> <span class="o">=</span> <span class="n">get_tensors</span><span class="p">(</span><span class="n">loaded_graph</span><span class="p">)</span>
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<span class="c1"># Sentences generation setup</span>
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<span class="n">gen_sentences</span> <span class="o">=</span> <span class="p">[</span><span class="n">prime_word</span> <span class="o">+</span> <span class="s1">':'</span><span class="p">]</span>
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<span class="n">prev_state</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">initial_state</span><span class="p">,</span> <span class="p">{</span><span class="n">input_text</span><span class="p">:</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mi">1</span><span class="p">]])})</span>
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<span class="c1"># Generate sentences</span>
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<span class="k">for</span> <span class="n">n</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">gen_length</span><span class="p">):</span>
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<span class="c1"># Dynamic Input</span>
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<span class="n">dyn_input</span> <span class="o">=</span> <span class="p">[[</span><span class="n">vocab_to_int</span><span class="p">[</span><span class="n">word</span><span class="p">]</span> <span class="k">for</span> <span class="n">word</span> <span class="ow">in</span> <span class="n">gen_sentences</span><span class="p">[</span><span class="o">-</span><span class="n">seq_length</span><span class="p">:]]]</span>
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<span class="n">dyn_seq_length</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">dyn_input</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span>
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<span class="c1"># Get Prediction</span>
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<span class="n">probabilities</span><span class="p">,</span> <span class="n">prev_state</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span>
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<span class="p">[</span><span class="n">probs</span><span class="p">,</span> <span class="n">final_state</span><span class="p">],</span>
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<span class="p">{</span><span class="n">input_text</span><span class="p">:</span> <span class="n">dyn_input</span><span class="p">,</span> <span class="n">initial_state</span><span class="p">:</span> <span class="n">prev_state</span><span class="p">})</span>
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<span class="n">pred_word</span> <span class="o">=</span> <span class="n">pick_word</span><span class="p">(</span><span class="n">probabilities</span><span class="p">[</span><span class="n">dyn_seq_length</span><span class="o">-</span><span class="mi">1</span><span class="p">],</span> <span class="n">int_to_vocab</span><span class="p">)</span>
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<span class="n">gen_sentences</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">pred_word</span><span class="p">)</span>
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<span class="c1"># Remove tokens</span>
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<span class="n">tv_script</span> <span class="o">=</span> <span class="s1">' '</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">gen_sentences</span><span class="p">)</span>
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<span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">token</span> <span class="ow">in</span> <span class="n">token_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
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<span class="n">ending</span> <span class="o">=</span> <span class="s1">' '</span> <span class="k">if</span> <span class="n">key</span> <span class="ow">in</span> <span class="p">[</span><span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">,</span> <span class="s1">'('</span><span class="p">,</span> <span class="s1">'"'</span><span class="p">]</span> <span class="k">else</span> <span class="s1">''</span>
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<span class="n">tv_script</span> <span class="o">=</span> <span class="n">tv_script</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">' '</span> <span class="o">+</span> <span class="n">token</span><span class="o">.</span><span class="n">lower</span><span class="p">(),</span> <span class="n">key</span><span class="p">)</span>
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<span class="n">tv_script</span> <span class="o">=</span> <span class="n">tv_script</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'</span><span class="se">\n</span><span class="s1"> '</span><span class="p">,</span> <span class="s1">'</span><span class="se">\n</span><span class="s1">'</span><span class="p">)</span>
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<span class="n">tv_script</span> <span class="o">=</span> <span class="n">tv_script</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="s1">'( '</span><span class="p">,</span> <span class="s1">'('</span><span class="p">)</span>
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<span class="nb">print</span><span class="p">(</span><span class="n">tv_script</span><span class="p">)</span>
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<pre>moe_szyslak: okay, you can't sell it till it blows at the mr.
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moe_szyslak: what?
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homer_simpson: do you goin' homer?
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moe_szyslak: oh, why don't you had? he's just a day?
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homer_simpson: marge if it isn't little call? i'm gonna invite me out.
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barney_gumble:(to homer) all knows me? hey, but all day it's everyone anymore.
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moe_szyslak: aw, behind not one about us, like how about the last guy old.
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lenny_leonard: hey, what that can hide!
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seymour_skinner: i had to my time you say, big day...
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kirk_van_houten: oh, nuts.
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homer_simpson: when i'm not your best friend because i'm gonna plotz.
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homer_simpson: don't be lost in a grampa.
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homer_simpson: oh, right. it wasn't up from the" sex on the car.
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moe_szyslak: ah, he's down for a man. to be a friend.
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homer_simpson:(moans) we're sure is.
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homer_simpson:(to tv) hey, hibachi head.
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<h1 id="The-TV-Script-is-Nonsensical">The TV Script is Nonsensical<a class="anchor-link" href="#The-TV-Script-is-Nonsensical">¶</a></h1><p>It's ok if the TV script doesn't make any sense. We trained on less than a megabyte of text. In order to get good results, you'll have to use a smaller vocabulary or get more data. Luckly there's more data! As we mentioned in the begging of this project, this is a subset of <a href="https://www.kaggle.com/wcukierski/the-simpsons-by-the-data">another dataset</a>. We didn't have you train on all the data, because that would take too long. However, you are free to train your neural network on all the data. After you complete the project, of course.</p>
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<h1 id="Submitting-This-Project">Submitting This Project<a class="anchor-link" href="#Submitting-This-Project">¶</a></h1><p>When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_tv_script_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.</p>
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