You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
bike-sharing-neural-network/dlnd-your-first-neural-netw...

18915 lines
767 KiB
HTML

This file contains ambiguous Unicode characters!

This file contains ambiguous Unicode characters that may be confused with others in your current locale. If your use case is intentional and legitimate, you can safely ignore this warning. Use the Escape button to highlight these characters.

<!DOCTYPE html>
<html>
<head><meta charset="utf-8" />
<title>dlnd-your-first-neural-network</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jquery/2.0.3/jquery.min.js"></script>
<style type="text/css">
/*!
*
* Twitter Bootstrap
*
*/
/*!
* Bootstrap v3.3.7 (http://getbootstrap.com)
* Copyright 2011-2016 Twitter, Inc.
* Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
*/
/*! normalize.css v3.0.3 | MIT License | github.com/necolas/normalize.css */
html {
font-family: sans-serif;
-ms-text-size-adjust: 100%;
-webkit-text-size-adjust: 100%;
}
body {
margin: 0;
}
article,
aside,
details,
figcaption,
figure,
footer,
header,
hgroup,
main,
menu,
nav,
section,
summary {
display: block;
}
audio,
canvas,
progress,
video {
display: inline-block;
vertical-align: baseline;
}
audio:not([controls]) {
display: none;
height: 0;
}
[hidden],
template {
display: none;
}
a {
background-color: transparent;
}
a:active,
a:hover {
outline: 0;
}
abbr[title] {
border-bottom: 1px dotted;
}
b,
strong {
font-weight: bold;
}
dfn {
font-style: italic;
}
h1 {
font-size: 2em;
margin: 0.67em 0;
}
mark {
background: #ff0;
color: #000;
}
small {
font-size: 80%;
}
sub,
sup {
font-size: 75%;
line-height: 0;
position: relative;
vertical-align: baseline;
}
sup {
top: -0.5em;
}
sub {
bottom: -0.25em;
}
img {
border: 0;
}
svg:not(:root) {
overflow: hidden;
}
figure {
margin: 1em 40px;
}
hr {
box-sizing: content-box;
height: 0;
}
pre {
overflow: auto;
}
code,
kbd,
pre,
samp {
font-family: monospace, monospace;
font-size: 1em;
}
button,
input,
optgroup,
select,
textarea {
color: inherit;
font: inherit;
margin: 0;
}
button {
overflow: visible;
}
button,
select {
text-transform: none;
}
button,
html input[type="button"],
input[type="reset"],
input[type="submit"] {
-webkit-appearance: button;
cursor: pointer;
}
button[disabled],
html input[disabled] {
cursor: default;
}
button::-moz-focus-inner,
input::-moz-focus-inner {
border: 0;
padding: 0;
}
input {
line-height: normal;
}
input[type="checkbox"],
input[type="radio"] {
box-sizing: border-box;
padding: 0;
}
input[type="number"]::-webkit-inner-spin-button,
input[type="number"]::-webkit-outer-spin-button {
height: auto;
}
input[type="search"] {
-webkit-appearance: textfield;
box-sizing: content-box;
}
input[type="search"]::-webkit-search-cancel-button,
input[type="search"]::-webkit-search-decoration {
-webkit-appearance: none;
}
fieldset {
border: 1px solid #c0c0c0;
margin: 0 2px;
padding: 0.35em 0.625em 0.75em;
}
legend {
border: 0;
padding: 0;
}
textarea {
overflow: auto;
}
optgroup {
font-weight: bold;
}
table {
border-collapse: collapse;
border-spacing: 0;
}
td,
th {
padding: 0;
}
/*! Source: https://github.com/h5bp/html5-boilerplate/blob/master/src/css/main.css */
@media print {
*,
*:before,
*:after {
background: transparent !important;
color: #000 !important;
box-shadow: none !important;
text-shadow: none !important;
}
a,
a:visited {
text-decoration: underline;
}
a[href]:after {
content: " (" attr(href) ")";
}
abbr[title]:after {
content: " (" attr(title) ")";
}
a[href^="#"]:after,
a[href^="javascript:"]:after {
content: "";
}
pre,
blockquote {
border: 1px solid #999;
page-break-inside: avoid;
}
thead {
display: table-header-group;
}
tr,
img {
page-break-inside: avoid;
}
img {
max-width: 100% !important;
}
p,
h2,
h3 {
orphans: 3;
widows: 3;
}
h2,
h3 {
page-break-after: avoid;
}
.navbar {
display: none;
}
.btn > .caret,
.dropup > .btn > .caret {
border-top-color: #000 !important;
}
.label {
border: 1px solid #000;
}
.table {
border-collapse: collapse !important;
}
.table td,
.table th {
background-color: #fff !important;
}
.table-bordered th,
.table-bordered td {
border: 1px solid #ddd !important;
}
}
@font-face {
font-family: 'Glyphicons Halflings';
src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot');
src: url('../components/bootstrap/fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff2') format('woff2'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.woff') format('woff'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../components/bootstrap/fonts/glyphicons-halflings-regular.svg#glyphicons_halflingsregular') format('svg');
}
.glyphicon {
position: relative;
top: 1px;
display: inline-block;
font-family: 'Glyphicons Halflings';
font-style: normal;
font-weight: normal;
line-height: 1;
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
}
.glyphicon-asterisk:before {
content: "\002a";
}
.glyphicon-plus:before {
content: "\002b";
}
.glyphicon-euro:before,
.glyphicon-eur:before {
content: "\20ac";
}
.glyphicon-minus:before {
content: "\2212";
}
.glyphicon-cloud:before {
content: "\2601";
}
.glyphicon-envelope:before {
content: "\2709";
}
.glyphicon-pencil:before {
content: "\270f";
}
.glyphicon-glass:before {
content: "\e001";
}
.glyphicon-music:before {
content: "\e002";
}
.glyphicon-search:before {
content: "\e003";
}
.glyphicon-heart:before {
content: "\e005";
}
.glyphicon-star:before {
content: "\e006";
}
.glyphicon-star-empty:before {
content: "\e007";
}
.glyphicon-user:before {
content: "\e008";
}
.glyphicon-film:before {
content: "\e009";
}
.glyphicon-th-large:before {
content: "\e010";
}
.glyphicon-th:before {
content: "\e011";
}
.glyphicon-th-list:before {
content: "\e012";
}
.glyphicon-ok:before {
content: "\e013";
}
.glyphicon-remove:before {
content: "\e014";
}
.glyphicon-zoom-in:before {
content: "\e015";
}
.glyphicon-zoom-out:before {
content: "\e016";
}
.glyphicon-off:before {
content: "\e017";
}
.glyphicon-signal:before {
content: "\e018";
}
.glyphicon-cog:before {
content: "\e019";
}
.glyphicon-trash:before {
content: "\e020";
}
.glyphicon-home:before {
content: "\e021";
}
.glyphicon-file:before {
content: "\e022";
}
.glyphicon-time:before {
content: "\e023";
}
.glyphicon-road:before {
content: "\e024";
}
.glyphicon-download-alt:before {
content: "\e025";
}
.glyphicon-download:before {
content: "\e026";
}
.glyphicon-upload:before {
content: "\e027";
}
.glyphicon-inbox:before {
content: "\e028";
}
.glyphicon-play-circle:before {
content: "\e029";
}
.glyphicon-repeat:before {
content: "\e030";
}
.glyphicon-refresh:before {
content: "\e031";
}
.glyphicon-list-alt:before {
content: "\e032";
}
.glyphicon-lock:before {
content: "\e033";
}
.glyphicon-flag:before {
content: "\e034";
}
.glyphicon-headphones:before {
content: "\e035";
}
.glyphicon-volume-off:before {
content: "\e036";
}
.glyphicon-volume-down:before {
content: "\e037";
}
.glyphicon-volume-up:before {
content: "\e038";
}
.glyphicon-qrcode:before {
content: "\e039";
}
.glyphicon-barcode:before {
content: "\e040";
}
.glyphicon-tag:before {
content: "\e041";
}
.glyphicon-tags:before {
content: "\e042";
}
.glyphicon-book:before {
content: "\e043";
}
.glyphicon-bookmark:before {
content: "\e044";
}
.glyphicon-print:before {
content: "\e045";
}
.glyphicon-camera:before {
content: "\e046";
}
.glyphicon-font:before {
content: "\e047";
}
.glyphicon-bold:before {
content: "\e048";
}
.glyphicon-italic:before {
content: "\e049";
}
.glyphicon-text-height:before {
content: "\e050";
}
.glyphicon-text-width:before {
content: "\e051";
}
.glyphicon-align-left:before {
content: "\e052";
}
.glyphicon-align-center:before {
content: "\e053";
}
.glyphicon-align-right:before {
content: "\e054";
}
.glyphicon-align-justify:before {
content: "\e055";
}
.glyphicon-list:before {
content: "\e056";
}
.glyphicon-indent-left:before {
content: "\e057";
}
.glyphicon-indent-right:before {
content: "\e058";
}
.glyphicon-facetime-video:before {
content: "\e059";
}
.glyphicon-picture:before {
content: "\e060";
}
.glyphicon-map-marker:before {
content: "\e062";
}
.glyphicon-adjust:before {
content: "\e063";
}
.glyphicon-tint:before {
content: "\e064";
}
.glyphicon-edit:before {
content: "\e065";
}
.glyphicon-share:before {
content: "\e066";
}
.glyphicon-check:before {
content: "\e067";
}
.glyphicon-move:before {
content: "\e068";
}
.glyphicon-step-backward:before {
content: "\e069";
}
.glyphicon-fast-backward:before {
content: "\e070";
}
.glyphicon-backward:before {
content: "\e071";
}
.glyphicon-play:before {
content: "\e072";
}
.glyphicon-pause:before {
content: "\e073";
}
.glyphicon-stop:before {
content: "\e074";
}
.glyphicon-forward:before {
content: "\e075";
}
.glyphicon-fast-forward:before {
content: "\e076";
}
.glyphicon-step-forward:before {
content: "\e077";
}
.glyphicon-eject:before {
content: "\e078";
}
.glyphicon-chevron-left:before {
content: "\e079";
}
.glyphicon-chevron-right:before {
content: "\e080";
}
.glyphicon-plus-sign:before {
content: "\e081";
}
.glyphicon-minus-sign:before {
content: "\e082";
}
.glyphicon-remove-sign:before {
content: "\e083";
}
.glyphicon-ok-sign:before {
content: "\e084";
}
.glyphicon-question-sign:before {
content: "\e085";
}
.glyphicon-info-sign:before {
content: "\e086";
}
.glyphicon-screenshot:before {
content: "\e087";
}
.glyphicon-remove-circle:before {
content: "\e088";
}
.glyphicon-ok-circle:before {
content: "\e089";
}
.glyphicon-ban-circle:before {
content: "\e090";
}
.glyphicon-arrow-left:before {
content: "\e091";
}
.glyphicon-arrow-right:before {
content: "\e092";
}
.glyphicon-arrow-up:before {
content: "\e093";
}
.glyphicon-arrow-down:before {
content: "\e094";
}
.glyphicon-share-alt:before {
content: "\e095";
}
.glyphicon-resize-full:before {
content: "\e096";
}
.glyphicon-resize-small:before {
content: "\e097";
}
.glyphicon-exclamation-sign:before {
content: "\e101";
}
.glyphicon-gift:before {
content: "\e102";
}
.glyphicon-leaf:before {
content: "\e103";
}
.glyphicon-fire:before {
content: "\e104";
}
.glyphicon-eye-open:before {
content: "\e105";
}
.glyphicon-eye-close:before {
content: "\e106";
}
.glyphicon-warning-sign:before {
content: "\e107";
}
.glyphicon-plane:before {
content: "\e108";
}
.glyphicon-calendar:before {
content: "\e109";
}
.glyphicon-random:before {
content: "\e110";
}
.glyphicon-comment:before {
content: "\e111";
}
.glyphicon-magnet:before {
content: "\e112";
}
.glyphicon-chevron-up:before {
content: "\e113";
}
.glyphicon-chevron-down:before {
content: "\e114";
}
.glyphicon-retweet:before {
content: "\e115";
}
.glyphicon-shopping-cart:before {
content: "\e116";
}
.glyphicon-folder-close:before {
content: "\e117";
}
.glyphicon-folder-open:before {
content: "\e118";
}
.glyphicon-resize-vertical:before {
content: "\e119";
}
.glyphicon-resize-horizontal:before {
content: "\e120";
}
.glyphicon-hdd:before {
content: "\e121";
}
.glyphicon-bullhorn:before {
content: "\e122";
}
.glyphicon-bell:before {
content: "\e123";
}
.glyphicon-certificate:before {
content: "\e124";
}
.glyphicon-thumbs-up:before {
content: "\e125";
}
.glyphicon-thumbs-down:before {
content: "\e126";
}
.glyphicon-hand-right:before {
content: "\e127";
}
.glyphicon-hand-left:before {
content: "\e128";
}
.glyphicon-hand-up:before {
content: "\e129";
}
.glyphicon-hand-down:before {
content: "\e130";
}
.glyphicon-circle-arrow-right:before {
content: "\e131";
}
.glyphicon-circle-arrow-left:before {
content: "\e132";
}
.glyphicon-circle-arrow-up:before {
content: "\e133";
}
.glyphicon-circle-arrow-down:before {
content: "\e134";
}
.glyphicon-globe:before {
content: "\e135";
}
.glyphicon-wrench:before {
content: "\e136";
}
.glyphicon-tasks:before {
content: "\e137";
}
.glyphicon-filter:before {
content: "\e138";
}
.glyphicon-briefcase:before {
content: "\e139";
}
.glyphicon-fullscreen:before {
content: "\e140";
}
.glyphicon-dashboard:before {
content: "\e141";
}
.glyphicon-paperclip:before {
content: "\e142";
}
.glyphicon-heart-empty:before {
content: "\e143";
}
.glyphicon-link:before {
content: "\e144";
}
.glyphicon-phone:before {
content: "\e145";
}
.glyphicon-pushpin:before {
content: "\e146";
}
.glyphicon-usd:before {
content: "\e148";
}
.glyphicon-gbp:before {
content: "\e149";
}
.glyphicon-sort:before {
content: "\e150";
}
.glyphicon-sort-by-alphabet:before {
content: "\e151";
}
.glyphicon-sort-by-alphabet-alt:before {
content: "\e152";
}
.glyphicon-sort-by-order:before {
content: "\e153";
}
.glyphicon-sort-by-order-alt:before {
content: "\e154";
}
.glyphicon-sort-by-attributes:before {
content: "\e155";
}
.glyphicon-sort-by-attributes-alt:before {
content: "\e156";
}
.glyphicon-unchecked:before {
content: "\e157";
}
.glyphicon-expand:before {
content: "\e158";
}
.glyphicon-collapse-down:before {
content: "\e159";
}
.glyphicon-collapse-up:before {
content: "\e160";
}
.glyphicon-log-in:before {
content: "\e161";
}
.glyphicon-flash:before {
content: "\e162";
}
.glyphicon-log-out:before {
content: "\e163";
}
.glyphicon-new-window:before {
content: "\e164";
}
.glyphicon-record:before {
content: "\e165";
}
.glyphicon-save:before {
content: "\e166";
}
.glyphicon-open:before {
content: "\e167";
}
.glyphicon-saved:before {
content: "\e168";
}
.glyphicon-import:before {
content: "\e169";
}
.glyphicon-export:before {
content: "\e170";
}
.glyphicon-send:before {
content: "\e171";
}
.glyphicon-floppy-disk:before {
content: "\e172";
}
.glyphicon-floppy-saved:before {
content: "\e173";
}
.glyphicon-floppy-remove:before {
content: "\e174";
}
.glyphicon-floppy-save:before {
content: "\e175";
}
.glyphicon-floppy-open:before {
content: "\e176";
}
.glyphicon-credit-card:before {
content: "\e177";
}
.glyphicon-transfer:before {
content: "\e178";
}
.glyphicon-cutlery:before {
content: "\e179";
}
.glyphicon-header:before {
content: "\e180";
}
.glyphicon-compressed:before {
content: "\e181";
}
.glyphicon-earphone:before {
content: "\e182";
}
.glyphicon-phone-alt:before {
content: "\e183";
}
.glyphicon-tower:before {
content: "\e184";
}
.glyphicon-stats:before {
content: "\e185";
}
.glyphicon-sd-video:before {
content: "\e186";
}
.glyphicon-hd-video:before {
content: "\e187";
}
.glyphicon-subtitles:before {
content: "\e188";
}
.glyphicon-sound-stereo:before {
content: "\e189";
}
.glyphicon-sound-dolby:before {
content: "\e190";
}
.glyphicon-sound-5-1:before {
content: "\e191";
}
.glyphicon-sound-6-1:before {
content: "\e192";
}
.glyphicon-sound-7-1:before {
content: "\e193";
}
.glyphicon-copyright-mark:before {
content: "\e194";
}
.glyphicon-registration-mark:before {
content: "\e195";
}
.glyphicon-cloud-download:before {
content: "\e197";
}
.glyphicon-cloud-upload:before {
content: "\e198";
}
.glyphicon-tree-conifer:before {
content: "\e199";
}
.glyphicon-tree-deciduous:before {
content: "\e200";
}
.glyphicon-cd:before {
content: "\e201";
}
.glyphicon-save-file:before {
content: "\e202";
}
.glyphicon-open-file:before {
content: "\e203";
}
.glyphicon-level-up:before {
content: "\e204";
}
.glyphicon-copy:before {
content: "\e205";
}
.glyphicon-paste:before {
content: "\e206";
}
.glyphicon-alert:before {
content: "\e209";
}
.glyphicon-equalizer:before {
content: "\e210";
}
.glyphicon-king:before {
content: "\e211";
}
.glyphicon-queen:before {
content: "\e212";
}
.glyphicon-pawn:before {
content: "\e213";
}
.glyphicon-bishop:before {
content: "\e214";
}
.glyphicon-knight:before {
content: "\e215";
}
.glyphicon-baby-formula:before {
content: "\e216";
}
.glyphicon-tent:before {
content: "\26fa";
}
.glyphicon-blackboard:before {
content: "\e218";
}
.glyphicon-bed:before {
content: "\e219";
}
.glyphicon-apple:before {
content: "\f8ff";
}
.glyphicon-erase:before {
content: "\e221";
}
.glyphicon-hourglass:before {
content: "\231b";
}
.glyphicon-lamp:before {
content: "\e223";
}
.glyphicon-duplicate:before {
content: "\e224";
}
.glyphicon-piggy-bank:before {
content: "\e225";
}
.glyphicon-scissors:before {
content: "\e226";
}
.glyphicon-bitcoin:before {
content: "\e227";
}
.glyphicon-btc:before {
content: "\e227";
}
.glyphicon-xbt:before {
content: "\e227";
}
.glyphicon-yen:before {
content: "\00a5";
}
.glyphicon-jpy:before {
content: "\00a5";
}
.glyphicon-ruble:before {
content: "\20bd";
}
.glyphicon-rub:before {
content: "\20bd";
}
.glyphicon-scale:before {
content: "\e230";
}
.glyphicon-ice-lolly:before {
content: "\e231";
}
.glyphicon-ice-lolly-tasted:before {
content: "\e232";
}
.glyphicon-education:before {
content: "\e233";
}
.glyphicon-option-horizontal:before {
content: "\e234";
}
.glyphicon-option-vertical:before {
content: "\e235";
}
.glyphicon-menu-hamburger:before {
content: "\e236";
}
.glyphicon-modal-window:before {
content: "\e237";
}
.glyphicon-oil:before {
content: "\e238";
}
.glyphicon-grain:before {
content: "\e239";
}
.glyphicon-sunglasses:before {
content: "\e240";
}
.glyphicon-text-size:before {
content: "\e241";
}
.glyphicon-text-color:before {
content: "\e242";
}
.glyphicon-text-background:before {
content: "\e243";
}
.glyphicon-object-align-top:before {
content: "\e244";
}
.glyphicon-object-align-bottom:before {
content: "\e245";
}
.glyphicon-object-align-horizontal:before {
content: "\e246";
}
.glyphicon-object-align-left:before {
content: "\e247";
}
.glyphicon-object-align-vertical:before {
content: "\e248";
}
.glyphicon-object-align-right:before {
content: "\e249";
}
.glyphicon-triangle-right:before {
content: "\e250";
}
.glyphicon-triangle-left:before {
content: "\e251";
}
.glyphicon-triangle-bottom:before {
content: "\e252";
}
.glyphicon-triangle-top:before {
content: "\e253";
}
.glyphicon-console:before {
content: "\e254";
}
.glyphicon-superscript:before {
content: "\e255";
}
.glyphicon-subscript:before {
content: "\e256";
}
.glyphicon-menu-left:before {
content: "\e257";
}
.glyphicon-menu-right:before {
content: "\e258";
}
.glyphicon-menu-down:before {
content: "\e259";
}
.glyphicon-menu-up:before {
content: "\e260";
}
* {
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
*:before,
*:after {
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
html {
font-size: 10px;
-webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
font-size: 13px;
line-height: 1.42857143;
color: #000;
background-color: #fff;
}
input,
button,
select,
textarea {
font-family: inherit;
font-size: inherit;
line-height: inherit;
}
a {
color: #337ab7;
text-decoration: none;
}
a:hover,
a:focus {
color: #23527c;
text-decoration: underline;
}
a:focus {
outline: 5px auto -webkit-focus-ring-color;
outline-offset: -2px;
}
figure {
margin: 0;
}
img {
vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
display: block;
max-width: 100%;
height: auto;
}
.img-rounded {
border-radius: 3px;
}
.img-thumbnail {
padding: 4px;
line-height: 1.42857143;
background-color: #fff;
border: 1px solid #ddd;
border-radius: 2px;
-webkit-transition: all 0.2s ease-in-out;
-o-transition: all 0.2s ease-in-out;
transition: all 0.2s ease-in-out;
display: inline-block;
max-width: 100%;
height: auto;
}
.img-circle {
border-radius: 50%;
}
hr {
margin-top: 18px;
margin-bottom: 18px;
border: 0;
border-top: 1px solid #eeeeee;
}
.sr-only {
position: absolute;
width: 1px;
height: 1px;
margin: -1px;
padding: 0;
overflow: hidden;
clip: rect(0, 0, 0, 0);
border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
position: static;
width: auto;
height: auto;
margin: 0;
overflow: visible;
clip: auto;
}
[role="button"] {
cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
font-family: inherit;
font-weight: 500;
line-height: 1.1;
color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
font-weight: normal;
line-height: 1;
color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
margin-top: 18px;
margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
margin-top: 9px;
margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
font-size: 75%;
}
h1,
.h1 {
font-size: 33px;
}
h2,
.h2 {
font-size: 27px;
}
h3,
.h3 {
font-size: 23px;
}
h4,
.h4 {
font-size: 17px;
}
h5,
.h5 {
font-size: 13px;
}
h6,
.h6 {
font-size: 12px;
}
p {
margin: 0 0 9px;
}
.lead {
margin-bottom: 18px;
font-size: 14px;
font-weight: 300;
line-height: 1.4;
}
@media (min-width: 768px) {
.lead {
font-size: 19.5px;
}
}
small,
.small {
font-size: 92%;
}
mark,
.mark {
background-color: #fcf8e3;
padding: .2em;
}
.text-left {
text-align: left;
}
.text-right {
text-align: right;
}
.text-center {
text-align: center;
}
.text-justify {
text-align: justify;
}
.text-nowrap {
white-space: nowrap;
}
.text-lowercase {
text-transform: lowercase;
}
.text-uppercase {
text-transform: uppercase;
}
.text-capitalize {
text-transform: capitalize;
}
.text-muted {
color: #777777;
}
.text-primary {
color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
color: #286090;
}
.text-success {
color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
color: #2b542c;
}
.text-info {
color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
color: #245269;
}
.text-warning {
color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
color: #66512c;
}
.text-danger {
color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
color: #843534;
}
.bg-primary {
color: #fff;
background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
background-color: #286090;
}
.bg-success {
background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
background-color: #c1e2b3;
}
.bg-info {
background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
background-color: #afd9ee;
}
.bg-warning {
background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
background-color: #f7ecb5;
}
.bg-danger {
background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
background-color: #e4b9b9;
}
.page-header {
padding-bottom: 8px;
margin: 36px 0 18px;
border-bottom: 1px solid #eeeeee;
}
ul,
ol {
margin-top: 0;
margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
margin-bottom: 0;
}
.list-unstyled {
padding-left: 0;
list-style: none;
}
.list-inline {
padding-left: 0;
list-style: none;
margin-left: -5px;
}
.list-inline > li {
display: inline-block;
padding-left: 5px;
padding-right: 5px;
}
dl {
margin-top: 0;
margin-bottom: 18px;
}
dt,
dd {
line-height: 1.42857143;
}
dt {
font-weight: bold;
}
dd {
margin-left: 0;
}
@media (min-width: 541px) {
.dl-horizontal dt {
float: left;
width: 160px;
clear: left;
text-align: right;
overflow: hidden;
text-overflow: ellipsis;
white-space: nowrap;
}
.dl-horizontal dd {
margin-left: 180px;
}
}
abbr[title],
abbr[data-original-title] {
cursor: help;
border-bottom: 1px dotted #777777;
}
.initialism {
font-size: 90%;
text-transform: uppercase;
}
blockquote {
padding: 9px 18px;
margin: 0 0 18px;
font-size: inherit;
border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
display: block;
font-size: 80%;
line-height: 1.42857143;
color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
padding-right: 15px;
padding-left: 0;
border-right: 5px solid #eeeeee;
border-left: 0;
text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
content: '\00A0 \2014';
}
address {
margin-bottom: 18px;
font-style: normal;
line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
font-family: monospace;
}
code {
padding: 2px 4px;
font-size: 90%;
color: #c7254e;
background-color: #f9f2f4;
border-radius: 2px;
}
kbd {
padding: 2px 4px;
font-size: 90%;
color: #888;
background-color: transparent;
border-radius: 1px;
box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
padding: 0;
font-size: 100%;
font-weight: bold;
box-shadow: none;
}
pre {
display: block;
padding: 8.5px;
margin: 0 0 9px;
font-size: 12px;
line-height: 1.42857143;
word-break: break-all;
word-wrap: break-word;
color: #333333;
background-color: #f5f5f5;
border: 1px solid #ccc;
border-radius: 2px;
}
pre code {
padding: 0;
font-size: inherit;
color: inherit;
white-space: pre-wrap;
background-color: transparent;
border-radius: 0;
}
.pre-scrollable {
max-height: 340px;
overflow-y: scroll;
}
.container {
margin-right: auto;
margin-left: auto;
padding-left: 0px;
padding-right: 0px;
}
@media (min-width: 768px) {
.container {
width: 768px;
}
}
@media (min-width: 992px) {
.container {
width: 940px;
}
}
@media (min-width: 1200px) {
.container {
width: 1140px;
}
}
.container-fluid {
margin-right: auto;
margin-left: auto;
padding-left: 0px;
padding-right: 0px;
}
.row {
margin-left: 0px;
margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
position: relative;
min-height: 1px;
padding-left: 0px;
padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
float: left;
}
.col-xs-12 {
width: 100%;
}
.col-xs-11 {
width: 91.66666667%;
}
.col-xs-10 {
width: 83.33333333%;
}
.col-xs-9 {
width: 75%;
}
.col-xs-8 {
width: 66.66666667%;
}
.col-xs-7 {
width: 58.33333333%;
}
.col-xs-6 {
width: 50%;
}
.col-xs-5 {
width: 41.66666667%;
}
.col-xs-4 {
width: 33.33333333%;
}
.col-xs-3 {
width: 25%;
}
.col-xs-2 {
width: 16.66666667%;
}
.col-xs-1 {
width: 8.33333333%;
}
.col-xs-pull-12 {
right: 100%;
}
.col-xs-pull-11 {
right: 91.66666667%;
}
.col-xs-pull-10 {
right: 83.33333333%;
}
.col-xs-pull-9 {
right: 75%;
}
.col-xs-pull-8 {
right: 66.66666667%;
}
.col-xs-pull-7 {
right: 58.33333333%;
}
.col-xs-pull-6 {
right: 50%;
}
.col-xs-pull-5 {
right: 41.66666667%;
}
.col-xs-pull-4 {
right: 33.33333333%;
}
.col-xs-pull-3 {
right: 25%;
}
.col-xs-pull-2 {
right: 16.66666667%;
}
.col-xs-pull-1 {
right: 8.33333333%;
}
.col-xs-pull-0 {
right: auto;
}
.col-xs-push-12 {
left: 100%;
}
.col-xs-push-11 {
left: 91.66666667%;
}
.col-xs-push-10 {
left: 83.33333333%;
}
.col-xs-push-9 {
left: 75%;
}
.col-xs-push-8 {
left: 66.66666667%;
}
.col-xs-push-7 {
left: 58.33333333%;
}
.col-xs-push-6 {
left: 50%;
}
.col-xs-push-5 {
left: 41.66666667%;
}
.col-xs-push-4 {
left: 33.33333333%;
}
.col-xs-push-3 {
left: 25%;
}
.col-xs-push-2 {
left: 16.66666667%;
}
.col-xs-push-1 {
left: 8.33333333%;
}
.col-xs-push-0 {
left: auto;
}
.col-xs-offset-12 {
margin-left: 100%;
}
.col-xs-offset-11 {
margin-left: 91.66666667%;
}
.col-xs-offset-10 {
margin-left: 83.33333333%;
}
.col-xs-offset-9 {
margin-left: 75%;
}
.col-xs-offset-8 {
margin-left: 66.66666667%;
}
.col-xs-offset-7 {
margin-left: 58.33333333%;
}
.col-xs-offset-6 {
margin-left: 50%;
}
.col-xs-offset-5 {
margin-left: 41.66666667%;
}
.col-xs-offset-4 {
margin-left: 33.33333333%;
}
.col-xs-offset-3 {
margin-left: 25%;
}
.col-xs-offset-2 {
margin-left: 16.66666667%;
}
.col-xs-offset-1 {
margin-left: 8.33333333%;
}
.col-xs-offset-0 {
margin-left: 0%;
}
@media (min-width: 768px) {
.col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
float: left;
}
.col-sm-12 {
width: 100%;
}
.col-sm-11 {
width: 91.66666667%;
}
.col-sm-10 {
width: 83.33333333%;
}
.col-sm-9 {
width: 75%;
}
.col-sm-8 {
width: 66.66666667%;
}
.col-sm-7 {
width: 58.33333333%;
}
.col-sm-6 {
width: 50%;
}
.col-sm-5 {
width: 41.66666667%;
}
.col-sm-4 {
width: 33.33333333%;
}
.col-sm-3 {
width: 25%;
}
.col-sm-2 {
width: 16.66666667%;
}
.col-sm-1 {
width: 8.33333333%;
}
.col-sm-pull-12 {
right: 100%;
}
.col-sm-pull-11 {
right: 91.66666667%;
}
.col-sm-pull-10 {
right: 83.33333333%;
}
.col-sm-pull-9 {
right: 75%;
}
.col-sm-pull-8 {
right: 66.66666667%;
}
.col-sm-pull-7 {
right: 58.33333333%;
}
.col-sm-pull-6 {
right: 50%;
}
.col-sm-pull-5 {
right: 41.66666667%;
}
.col-sm-pull-4 {
right: 33.33333333%;
}
.col-sm-pull-3 {
right: 25%;
}
.col-sm-pull-2 {
right: 16.66666667%;
}
.col-sm-pull-1 {
right: 8.33333333%;
}
.col-sm-pull-0 {
right: auto;
}
.col-sm-push-12 {
left: 100%;
}
.col-sm-push-11 {
left: 91.66666667%;
}
.col-sm-push-10 {
left: 83.33333333%;
}
.col-sm-push-9 {
left: 75%;
}
.col-sm-push-8 {
left: 66.66666667%;
}
.col-sm-push-7 {
left: 58.33333333%;
}
.col-sm-push-6 {
left: 50%;
}
.col-sm-push-5 {
left: 41.66666667%;
}
.col-sm-push-4 {
left: 33.33333333%;
}
.col-sm-push-3 {
left: 25%;
}
.col-sm-push-2 {
left: 16.66666667%;
}
.col-sm-push-1 {
left: 8.33333333%;
}
.col-sm-push-0 {
left: auto;
}
.col-sm-offset-12 {
margin-left: 100%;
}
.col-sm-offset-11 {
margin-left: 91.66666667%;
}
.col-sm-offset-10 {
margin-left: 83.33333333%;
}
.col-sm-offset-9 {
margin-left: 75%;
}
.col-sm-offset-8 {
margin-left: 66.66666667%;
}
.col-sm-offset-7 {
margin-left: 58.33333333%;
}
.col-sm-offset-6 {
margin-left: 50%;
}
.col-sm-offset-5 {
margin-left: 41.66666667%;
}
.col-sm-offset-4 {
margin-left: 33.33333333%;
}
.col-sm-offset-3 {
margin-left: 25%;
}
.col-sm-offset-2 {
margin-left: 16.66666667%;
}
.col-sm-offset-1 {
margin-left: 8.33333333%;
}
.col-sm-offset-0 {
margin-left: 0%;
}
}
@media (min-width: 992px) {
.col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
float: left;
}
.col-md-12 {
width: 100%;
}
.col-md-11 {
width: 91.66666667%;
}
.col-md-10 {
width: 83.33333333%;
}
.col-md-9 {
width: 75%;
}
.col-md-8 {
width: 66.66666667%;
}
.col-md-7 {
width: 58.33333333%;
}
.col-md-6 {
width: 50%;
}
.col-md-5 {
width: 41.66666667%;
}
.col-md-4 {
width: 33.33333333%;
}
.col-md-3 {
width: 25%;
}
.col-md-2 {
width: 16.66666667%;
}
.col-md-1 {
width: 8.33333333%;
}
.col-md-pull-12 {
right: 100%;
}
.col-md-pull-11 {
right: 91.66666667%;
}
.col-md-pull-10 {
right: 83.33333333%;
}
.col-md-pull-9 {
right: 75%;
}
.col-md-pull-8 {
right: 66.66666667%;
}
.col-md-pull-7 {
right: 58.33333333%;
}
.col-md-pull-6 {
right: 50%;
}
.col-md-pull-5 {
right: 41.66666667%;
}
.col-md-pull-4 {
right: 33.33333333%;
}
.col-md-pull-3 {
right: 25%;
}
.col-md-pull-2 {
right: 16.66666667%;
}
.col-md-pull-1 {
right: 8.33333333%;
}
.col-md-pull-0 {
right: auto;
}
.col-md-push-12 {
left: 100%;
}
.col-md-push-11 {
left: 91.66666667%;
}
.col-md-push-10 {
left: 83.33333333%;
}
.col-md-push-9 {
left: 75%;
}
.col-md-push-8 {
left: 66.66666667%;
}
.col-md-push-7 {
left: 58.33333333%;
}
.col-md-push-6 {
left: 50%;
}
.col-md-push-5 {
left: 41.66666667%;
}
.col-md-push-4 {
left: 33.33333333%;
}
.col-md-push-3 {
left: 25%;
}
.col-md-push-2 {
left: 16.66666667%;
}
.col-md-push-1 {
left: 8.33333333%;
}
.col-md-push-0 {
left: auto;
}
.col-md-offset-12 {
margin-left: 100%;
}
.col-md-offset-11 {
margin-left: 91.66666667%;
}
.col-md-offset-10 {
margin-left: 83.33333333%;
}
.col-md-offset-9 {
margin-left: 75%;
}
.col-md-offset-8 {
margin-left: 66.66666667%;
}
.col-md-offset-7 {
margin-left: 58.33333333%;
}
.col-md-offset-6 {
margin-left: 50%;
}
.col-md-offset-5 {
margin-left: 41.66666667%;
}
.col-md-offset-4 {
margin-left: 33.33333333%;
}
.col-md-offset-3 {
margin-left: 25%;
}
.col-md-offset-2 {
margin-left: 16.66666667%;
}
.col-md-offset-1 {
margin-left: 8.33333333%;
}
.col-md-offset-0 {
margin-left: 0%;
}
}
@media (min-width: 1200px) {
.col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
float: left;
}
.col-lg-12 {
width: 100%;
}
.col-lg-11 {
width: 91.66666667%;
}
.col-lg-10 {
width: 83.33333333%;
}
.col-lg-9 {
width: 75%;
}
.col-lg-8 {
width: 66.66666667%;
}
.col-lg-7 {
width: 58.33333333%;
}
.col-lg-6 {
width: 50%;
}
.col-lg-5 {
width: 41.66666667%;
}
.col-lg-4 {
width: 33.33333333%;
}
.col-lg-3 {
width: 25%;
}
.col-lg-2 {
width: 16.66666667%;
}
.col-lg-1 {
width: 8.33333333%;
}
.col-lg-pull-12 {
right: 100%;
}
.col-lg-pull-11 {
right: 91.66666667%;
}
.col-lg-pull-10 {
right: 83.33333333%;
}
.col-lg-pull-9 {
right: 75%;
}
.col-lg-pull-8 {
right: 66.66666667%;
}
.col-lg-pull-7 {
right: 58.33333333%;
}
.col-lg-pull-6 {
right: 50%;
}
.col-lg-pull-5 {
right: 41.66666667%;
}
.col-lg-pull-4 {
right: 33.33333333%;
}
.col-lg-pull-3 {
right: 25%;
}
.col-lg-pull-2 {
right: 16.66666667%;
}
.col-lg-pull-1 {
right: 8.33333333%;
}
.col-lg-pull-0 {
right: auto;
}
.col-lg-push-12 {
left: 100%;
}
.col-lg-push-11 {
left: 91.66666667%;
}
.col-lg-push-10 {
left: 83.33333333%;
}
.col-lg-push-9 {
left: 75%;
}
.col-lg-push-8 {
left: 66.66666667%;
}
.col-lg-push-7 {
left: 58.33333333%;
}
.col-lg-push-6 {
left: 50%;
}
.col-lg-push-5 {
left: 41.66666667%;
}
.col-lg-push-4 {
left: 33.33333333%;
}
.col-lg-push-3 {
left: 25%;
}
.col-lg-push-2 {
left: 16.66666667%;
}
.col-lg-push-1 {
left: 8.33333333%;
}
.col-lg-push-0 {
left: auto;
}
.col-lg-offset-12 {
margin-left: 100%;
}
.col-lg-offset-11 {
margin-left: 91.66666667%;
}
.col-lg-offset-10 {
margin-left: 83.33333333%;
}
.col-lg-offset-9 {
margin-left: 75%;
}
.col-lg-offset-8 {
margin-left: 66.66666667%;
}
.col-lg-offset-7 {
margin-left: 58.33333333%;
}
.col-lg-offset-6 {
margin-left: 50%;
}
.col-lg-offset-5 {
margin-left: 41.66666667%;
}
.col-lg-offset-4 {
margin-left: 33.33333333%;
}
.col-lg-offset-3 {
margin-left: 25%;
}
.col-lg-offset-2 {
margin-left: 16.66666667%;
}
.col-lg-offset-1 {
margin-left: 8.33333333%;
}
.col-lg-offset-0 {
margin-left: 0%;
}
}
table {
background-color: transparent;
}
caption {
padding-top: 8px;
padding-bottom: 8px;
color: #777777;
text-align: left;
}
th {
text-align: left;
}
.table {
width: 100%;
max-width: 100%;
margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
padding: 8px;
line-height: 1.42857143;
vertical-align: top;
border-top: 1px solid #ddd;
}
.table > thead > tr > th {
vertical-align: bottom;
border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
border-top: 0;
}
.table > tbody + tbody {
border-top: 2px solid #ddd;
}
.table .table {
background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
padding: 5px;
}
.table-bordered {
border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
background-color: #f5f5f5;
}
table col[class*="col-"] {
position: static;
float: none;
display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
position: static;
float: none;
display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
background-color: #ebcccc;
}
.table-responsive {
overflow-x: auto;
min-height: 0.01%;
}
@media screen and (max-width: 767px) {
.table-responsive {
width: 100%;
margin-bottom: 13.5px;
overflow-y: hidden;
-ms-overflow-style: -ms-autohiding-scrollbar;
border: 1px solid #ddd;
}
.table-responsive > .table {
margin-bottom: 0;
}
.table-responsive > .table > thead > tr > th,
.table-responsive > .table > tbody > tr > th,
.table-responsive > .table > tfoot > tr > th,
.table-responsive > .table > thead > tr > td,
.table-responsive > .table > tbody > tr > td,
.table-responsive > .table > tfoot > tr > td {
white-space: nowrap;
}
.table-responsive > .table-bordered {
border: 0;
}
.table-responsive > .table-bordered > thead > tr > th:first-child,
.table-responsive > .table-bordered > tbody > tr > th:first-child,
.table-responsive > .table-bordered > tfoot > tr > th:first-child,
.table-responsive > .table-bordered > thead > tr > td:first-child,
.table-responsive > .table-bordered > tbody > tr > td:first-child,
.table-responsive > .table-bordered > tfoot > tr > td:first-child {
border-left: 0;
}
.table-responsive > .table-bordered > thead > tr > th:last-child,
.table-responsive > .table-bordered > tbody > tr > th:last-child,
.table-responsive > .table-bordered > tfoot > tr > th:last-child,
.table-responsive > .table-bordered > thead > tr > td:last-child,
.table-responsive > .table-bordered > tbody > tr > td:last-child,
.table-responsive > .table-bordered > tfoot > tr > td:last-child {
border-right: 0;
}
.table-responsive > .table-bordered > tbody > tr:last-child > th,
.table-responsive > .table-bordered > tfoot > tr:last-child > th,
.table-responsive > .table-bordered > tbody > tr:last-child > td,
.table-responsive > .table-bordered > tfoot > tr:last-child > td {
border-bottom: 0;
}
}
fieldset {
padding: 0;
margin: 0;
border: 0;
min-width: 0;
}
legend {
display: block;
width: 100%;
padding: 0;
margin-bottom: 18px;
font-size: 19.5px;
line-height: inherit;
color: #333333;
border: 0;
border-bottom: 1px solid #e5e5e5;
}
label {
display: inline-block;
max-width: 100%;
margin-bottom: 5px;
font-weight: bold;
}
input[type="search"] {
-webkit-box-sizing: border-box;
-moz-box-sizing: border-box;
box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
margin: 4px 0 0;
margin-top: 1px \9;
line-height: normal;
}
input[type="file"] {
display: block;
}
input[type="range"] {
display: block;
width: 100%;
}
select[multiple],
select[size] {
height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
outline: 5px auto -webkit-focus-ring-color;
outline-offset: -2px;
}
output {
display: block;
padding-top: 7px;
font-size: 13px;
line-height: 1.42857143;
color: #555555;
}
.form-control {
display: block;
width: 100%;
height: 32px;
padding: 6px 12px;
font-size: 13px;
line-height: 1.42857143;
color: #555555;
background-color: #fff;
background-image: none;
border: 1px solid #ccc;
border-radius: 2px;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
-webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
-o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
border-color: #66afe9;
outline: 0;
-webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
color: #999;
opacity: 1;
}
.form-control:-ms-input-placeholder {
color: #999;
}
.form-control::-webkit-input-placeholder {
color: #999;
}
.form-control::-ms-expand {
border: 0;
background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
background-color: #eeeeee;
opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
cursor: not-allowed;
}
textarea.form-control {
height: auto;
}
input[type="search"] {
-webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
input[type="date"].form-control,
input[type="time"].form-control,
input[type="datetime-local"].form-control,
input[type="month"].form-control {
line-height: 32px;
}
input[type="date"].input-sm,
input[type="time"].input-sm,
input[type="datetime-local"].input-sm,
input[type="month"].input-sm,
.input-group-sm input[type="date"],
.input-group-sm input[type="time"],
.input-group-sm input[type="datetime-local"],
.input-group-sm input[type="month"] {
line-height: 30px;
}
input[type="date"].input-lg,
input[type="time"].input-lg,
input[type="datetime-local"].input-lg,
input[type="month"].input-lg,
.input-group-lg input[type="date"],
.input-group-lg input[type="time"],
.input-group-lg input[type="datetime-local"],
.input-group-lg input[type="month"] {
line-height: 45px;
}
}
.form-group {
margin-bottom: 15px;
}
.radio,
.checkbox {
position: relative;
display: block;
margin-top: 10px;
margin-bottom: 10px;
}
.radio label,
.checkbox label {
min-height: 18px;
padding-left: 20px;
margin-bottom: 0;
font-weight: normal;
cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
position: absolute;
margin-left: -20px;
margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
position: relative;
display: inline-block;
padding-left: 20px;
margin-bottom: 0;
vertical-align: middle;
font-weight: normal;
cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
margin-top: 0;
margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
cursor: not-allowed;
}
.form-control-static {
padding-top: 7px;
padding-bottom: 7px;
margin-bottom: 0;
min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
padding-left: 0;
padding-right: 0;
}
.input-sm {
height: 30px;
padding: 5px 10px;
font-size: 12px;
line-height: 1.5;
border-radius: 1px;
}
select.input-sm {
height: 30px;
line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
height: auto;
}
.form-group-sm .form-control {
height: 30px;
padding: 5px 10px;
font-size: 12px;
line-height: 1.5;
border-radius: 1px;
}
.form-group-sm select.form-control {
height: 30px;
line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
height: auto;
}
.form-group-sm .form-control-static {
height: 30px;
min-height: 30px;
padding: 6px 10px;
font-size: 12px;
line-height: 1.5;
}
.input-lg {
height: 45px;
padding: 10px 16px;
font-size: 17px;
line-height: 1.3333333;
border-radius: 3px;
}
select.input-lg {
height: 45px;
line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
height: auto;
}
.form-group-lg .form-control {
height: 45px;
padding: 10px 16px;
font-size: 17px;
line-height: 1.3333333;
border-radius: 3px;
}
.form-group-lg select.form-control {
height: 45px;
line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
height: auto;
}
.form-group-lg .form-control-static {
height: 45px;
min-height: 35px;
padding: 11px 16px;
font-size: 17px;
line-height: 1.3333333;
}
.has-feedback {
position: relative;
}
.has-feedback .form-control {
padding-right: 40px;
}
.form-control-feedback {
position: absolute;
top: 0;
right: 0;
z-index: 2;
display: block;
width: 32px;
height: 32px;
line-height: 32px;
text-align: center;
pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
width: 45px;
height: 45px;
line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
width: 30px;
height: 30px;
line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
color: #3c763d;
}
.has-success .form-control {
border-color: #3c763d;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
border-color: #2b542c;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
color: #3c763d;
border-color: #3c763d;
background-color: #dff0d8;
}
.has-success .form-control-feedback {
color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
color: #8a6d3b;
}
.has-warning .form-control {
border-color: #8a6d3b;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
border-color: #66512c;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
color: #8a6d3b;
border-color: #8a6d3b;
background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
color: #a94442;
}
.has-error .form-control {
border-color: #a94442;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
border-color: #843534;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
color: #a94442;
border-color: #a94442;
background-color: #f2dede;
}
.has-error .form-control-feedback {
color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
top: 0;
}
.help-block {
display: block;
margin-top: 5px;
margin-bottom: 10px;
color: #404040;
}
@media (min-width: 768px) {
.form-inline .form-group {
display: inline-block;
margin-bottom: 0;
vertical-align: middle;
}
.form-inline .form-control {
display: inline-block;
width: auto;
vertical-align: middle;
}
.form-inline .form-control-static {
display: inline-block;
}
.form-inline .input-group {
display: inline-table;
vertical-align: middle;
}
.form-inline .input-group .input-group-addon,
.form-inline .input-group .input-group-btn,
.form-inline .input-group .form-control {
width: auto;
}
.form-inline .input-group > .form-control {
width: 100%;
}
.form-inline .control-label {
margin-bottom: 0;
vertical-align: middle;
}
.form-inline .radio,
.form-inline .checkbox {
display: inline-block;
margin-top: 0;
margin-bottom: 0;
vertical-align: middle;
}
.form-inline .radio label,
.form-inline .checkbox label {
padding-left: 0;
}
.form-inline .radio input[type="radio"],
.form-inline .checkbox input[type="checkbox"] {
position: relative;
margin-left: 0;
}
.form-inline .has-feedback .form-control-feedback {
top: 0;
}
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
margin-top: 0;
margin-bottom: 0;
padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
min-height: 25px;
}
.form-horizontal .form-group {
margin-left: 0px;
margin-right: 0px;
}
@media (min-width: 768px) {
.form-horizontal .control-label {
text-align: right;
margin-bottom: 0;
padding-top: 7px;
}
}
.form-horizontal .has-feedback .form-control-feedback {
right: 0px;
}
@media (min-width: 768px) {
.form-horizontal .form-group-lg .control-label {
padding-top: 11px;
font-size: 17px;
}
}
@media (min-width: 768px) {
.form-horizontal .form-group-sm .control-label {
padding-top: 6px;
font-size: 12px;
}
}
.btn {
display: inline-block;
margin-bottom: 0;
font-weight: normal;
text-align: center;
vertical-align: middle;
touch-action: manipulation;
cursor: pointer;
background-image: none;
border: 1px solid transparent;
white-space: nowrap;
padding: 6px 12px;
font-size: 13px;
line-height: 1.42857143;
border-radius: 2px;
-webkit-user-select: none;
-moz-user-select: none;
-ms-user-select: none;
user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
outline: 5px auto -webkit-focus-ring-color;
outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
color: #333;
text-decoration: none;
}
.btn:active,
.btn.active {
outline: 0;
background-image: none;
-webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
cursor: not-allowed;
opacity: 0.65;
filter: alpha(opacity=65);
-webkit-box-shadow: none;
box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
pointer-events: none;
}
.btn-default {
color: #333;
background-color: #fff;
border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
color: #333;
background-color: #e6e6e6;
border-color: #8c8c8c;
}
.btn-default:hover {
color: #333;
background-color: #e6e6e6;
border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
color: #333;
background-color: #e6e6e6;
border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
color: #333;
background-color: #d4d4d4;
border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
background-color: #fff;
border-color: #ccc;
}
.btn-default .badge {
color: #fff;
background-color: #333;
}
.btn-primary {
color: #fff;
background-color: #337ab7;
border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
color: #fff;
background-color: #286090;
border-color: #122b40;
}
.btn-primary:hover {
color: #fff;
background-color: #286090;
border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
color: #fff;
background-color: #286090;
border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
color: #fff;
background-color: #204d74;
border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
background-color: #337ab7;
border-color: #2e6da4;
}
.btn-primary .badge {
color: #337ab7;
background-color: #fff;
}
.btn-success {
color: #fff;
background-color: #5cb85c;
border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
color: #fff;
background-color: #449d44;
border-color: #255625;
}
.btn-success:hover {
color: #fff;
background-color: #449d44;
border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
color: #fff;
background-color: #449d44;
border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
color: #fff;
background-color: #398439;
border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
background-color: #5cb85c;
border-color: #4cae4c;
}
.btn-success .badge {
color: #5cb85c;
background-color: #fff;
}
.btn-info {
color: #fff;
background-color: #5bc0de;
border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
color: #fff;
background-color: #31b0d5;
border-color: #1b6d85;
}
.btn-info:hover {
color: #fff;
background-color: #31b0d5;
border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
color: #fff;
background-color: #31b0d5;
border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
color: #fff;
background-color: #269abc;
border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
background-color: #5bc0de;
border-color: #46b8da;
}
.btn-info .badge {
color: #5bc0de;
background-color: #fff;
}
.btn-warning {
color: #fff;
background-color: #f0ad4e;
border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
color: #fff;
background-color: #ec971f;
border-color: #985f0d;
}
.btn-warning:hover {
color: #fff;
background-color: #ec971f;
border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
color: #fff;
background-color: #ec971f;
border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
color: #fff;
background-color: #d58512;
border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
background-color: #f0ad4e;
border-color: #eea236;
}
.btn-warning .badge {
color: #f0ad4e;
background-color: #fff;
}
.btn-danger {
color: #fff;
background-color: #d9534f;
border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
color: #fff;
background-color: #c9302c;
border-color: #761c19;
}
.btn-danger:hover {
color: #fff;
background-color: #c9302c;
border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
color: #fff;
background-color: #c9302c;
border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
color: #fff;
background-color: #ac2925;
border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
background-color: #d9534f;
border-color: #d43f3a;
}
.btn-danger .badge {
color: #d9534f;
background-color: #fff;
}
.btn-link {
color: #337ab7;
font-weight: normal;
border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
background-color: transparent;
-webkit-box-shadow: none;
box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
color: #23527c;
text-decoration: underline;
background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
color: #777777;
text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
padding: 10px 16px;
font-size: 17px;
line-height: 1.3333333;
border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
padding: 5px 10px;
font-size: 12px;
line-height: 1.5;
border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
padding: 1px 5px;
font-size: 12px;
line-height: 1.5;
border-radius: 1px;
}
.btn-block {
display: block;
width: 100%;
}
.btn-block + .btn-block {
margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
width: 100%;
}
.fade {
opacity: 0;
-webkit-transition: opacity 0.15s linear;
-o-transition: opacity 0.15s linear;
transition: opacity 0.15s linear;
}
.fade.in {
opacity: 1;
}
.collapse {
display: none;
}
.collapse.in {
display: block;
}
tr.collapse.in {
display: table-row;
}
tbody.collapse.in {
display: table-row-group;
}
.collapsing {
position: relative;
height: 0;
overflow: hidden;
-webkit-transition-property: height, visibility;
transition-property: height, visibility;
-webkit-transition-duration: 0.35s;
transition-duration: 0.35s;
-webkit-transition-timing-function: ease;
transition-timing-function: ease;
}
.caret {
display: inline-block;
width: 0;
height: 0;
margin-left: 2px;
vertical-align: middle;
border-top: 4px dashed;
border-top: 4px solid \9;
border-right: 4px solid transparent;
border-left: 4px solid transparent;
}
.dropup,
.dropdown {
position: relative;
}
.dropdown-toggle:focus {
outline: 0;
}
.dropdown-menu {
position: absolute;
top: 100%;
left: 0;
z-index: 1000;
display: none;
float: left;
min-width: 160px;
padding: 5px 0;
margin: 2px 0 0;
list-style: none;
font-size: 13px;
text-align: left;
background-color: #fff;
border: 1px solid #ccc;
border: 1px solid rgba(0, 0, 0, 0.15);
border-radius: 2px;
-webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
background-clip: padding-box;
}
.dropdown-menu.pull-right {
right: 0;
left: auto;
}
.dropdown-menu .divider {
height: 1px;
margin: 8px 0;
overflow: hidden;
background-color: #e5e5e5;
}
.dropdown-menu > li > a {
display: block;
padding: 3px 20px;
clear: both;
font-weight: normal;
line-height: 1.42857143;
color: #333333;
white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
text-decoration: none;
color: #262626;
background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
color: #fff;
text-decoration: none;
outline: 0;
background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
text-decoration: none;
background-color: transparent;
background-image: none;
filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
cursor: not-allowed;
}
.open > .dropdown-menu {
display: block;
}
.open > a {
outline: 0;
}
.dropdown-menu-right {
left: auto;
right: 0;
}
.dropdown-menu-left {
left: 0;
right: auto;
}
.dropdown-header {
display: block;
padding: 3px 20px;
font-size: 12px;
line-height: 1.42857143;
color: #777777;
white-space: nowrap;
}
.dropdown-backdrop {
position: fixed;
left: 0;
right: 0;
bottom: 0;
top: 0;
z-index: 990;
}
.pull-right > .dropdown-menu {
right: 0;
left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
border-top: 0;
border-bottom: 4px dashed;
border-bottom: 4px solid \9;
content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
top: auto;
bottom: 100%;
margin-bottom: 2px;
}
@media (min-width: 541px) {
.navbar-right .dropdown-menu {
left: auto;
right: 0;
}
.navbar-right .dropdown-menu-left {
left: 0;
right: auto;
}
}
.btn-group,
.btn-group-vertical {
position: relative;
display: inline-block;
vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
position: relative;
float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
margin-left: -1px;
}
.btn-toolbar {
margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
border-radius: 0;
}
.btn-group > .btn:first-child {
margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
border-bottom-right-radius: 0;
border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
border-bottom-left-radius: 0;
border-top-left-radius: 0;
}
.btn-group > .btn-group {
float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
border-bottom-right-radius: 0;
border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
border-bottom-left-radius: 0;
border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
padding-left: 8px;
padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
padding-left: 12px;
padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
-webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
-webkit-box-shadow: none;
box-shadow: none;
}
.btn .caret {
margin-left: 0;
}
.btn-lg .caret {
border-width: 5px 5px 0;
border-bottom-width: 0;
}
.dropup .btn-lg .caret {
border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
display: block;
float: none;
width: 100%;
max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
margin-top: -1px;
margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
border-top-right-radius: 2px;
border-top-left-radius: 2px;
border-bottom-right-radius: 0;
border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
border-top-right-radius: 0;
border-top-left-radius: 0;
border-bottom-right-radius: 2px;
border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
border-bottom-right-radius: 0;
border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
border-top-right-radius: 0;
border-top-left-radius: 0;
}
.btn-group-justified {
display: table;
width: 100%;
table-layout: fixed;
border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
float: none;
display: table-cell;
width: 1%;
}
.btn-group-justified > .btn-group .btn {
width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
position: absolute;
clip: rect(0, 0, 0, 0);
pointer-events: none;
}
.input-group {
position: relative;
display: table;
border-collapse: separate;
}
.input-group[class*="col-"] {
float: none;
padding-left: 0;
padding-right: 0;
}
.input-group .form-control {
position: relative;
z-index: 2;
float: left;
width: 100%;
margin-bottom: 0;
}
.input-group .form-control:focus {
z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
height: 45px;
padding: 10px 16px;
font-size: 17px;
line-height: 1.3333333;
border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
height: 45px;
line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
height: 30px;
padding: 5px 10px;
font-size: 12px;
line-height: 1.5;
border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
height: 30px;
line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
border-radius: 0;
}
.input-group-addon,
.input-group-btn {
width: 1%;
white-space: nowrap;
vertical-align: middle;
}
.input-group-addon {
padding: 6px 12px;
font-size: 13px;
font-weight: normal;
line-height: 1;
color: #555555;
text-align: center;
background-color: #eeeeee;
border: 1px solid #ccc;
border-radius: 2px;
}
.input-group-addon.input-sm {
padding: 5px 10px;
font-size: 12px;
border-radius: 1px;
}
.input-group-addon.input-lg {
padding: 10px 16px;
font-size: 17px;
border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
border-bottom-right-radius: 0;
border-top-right-radius: 0;
}
.input-group-addon:first-child {
border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
border-bottom-left-radius: 0;
border-top-left-radius: 0;
}
.input-group-addon:last-child {
border-left: 0;
}
.input-group-btn {
position: relative;
font-size: 0;
white-space: nowrap;
}
.input-group-btn > .btn {
position: relative;
}
.input-group-btn > .btn + .btn {
margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
z-index: 2;
margin-left: -1px;
}
.nav {
margin-bottom: 0;
padding-left: 0;
list-style: none;
}
.nav > li {
position: relative;
display: block;
}
.nav > li > a {
position: relative;
display: block;
padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
text-decoration: none;
background-color: #eeeeee;
}
.nav > li.disabled > a {
color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
color: #777777;
text-decoration: none;
background-color: transparent;
cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
background-color: #eeeeee;
border-color: #337ab7;
}
.nav .nav-divider {
height: 1px;
margin: 8px 0;
overflow: hidden;
background-color: #e5e5e5;
}
.nav > li > a > img {
max-width: none;
}
.nav-tabs {
border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
float: left;
margin-bottom: -1px;
}
.nav-tabs > li > a {
margin-right: 2px;
line-height: 1.42857143;
border: 1px solid transparent;
border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
color: #555555;
background-color: #fff;
border: 1px solid #ddd;
border-bottom-color: transparent;
cursor: default;
}
.nav-tabs.nav-justified {
width: 100%;
border-bottom: 0;
}
.nav-tabs.nav-justified > li {
float: none;
}
.nav-tabs.nav-justified > li > a {
text-align: center;
margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
top: auto;
left: auto;
}
@media (min-width: 768px) {
.nav-tabs.nav-justified > li {
display: table-cell;
width: 1%;
}
.nav-tabs.nav-justified > li > a {
margin-bottom: 0;
}
}
.nav-tabs.nav-justified > li > a {
margin-right: 0;
border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
border: 1px solid #ddd;
}
@media (min-width: 768px) {
.nav-tabs.nav-justified > li > a {
border-bottom: 1px solid #ddd;
border-radius: 2px 2px 0 0;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
border-bottom-color: #fff;
}
}
.nav-pills > li {
float: left;
}
.nav-pills > li > a {
border-radius: 2px;
}
.nav-pills > li + li {
margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
color: #fff;
background-color: #337ab7;
}
.nav-stacked > li {
float: none;
}
.nav-stacked > li + li {
margin-top: 2px;
margin-left: 0;
}
.nav-justified {
width: 100%;
}
.nav-justified > li {
float: none;
}
.nav-justified > li > a {
text-align: center;
margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
top: auto;
left: auto;
}
@media (min-width: 768px) {
.nav-justified > li {
display: table-cell;
width: 1%;
}
.nav-justified > li > a {
margin-bottom: 0;
}
}
.nav-tabs-justified {
border-bottom: 0;
}
.nav-tabs-justified > li > a {
margin-right: 0;
border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
border: 1px solid #ddd;
}
@media (min-width: 768px) {
.nav-tabs-justified > li > a {
border-bottom: 1px solid #ddd;
border-radius: 2px 2px 0 0;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
border-bottom-color: #fff;
}
}
.tab-content > .tab-pane {
display: none;
}
.tab-content > .active {
display: block;
}
.nav-tabs .dropdown-menu {
margin-top: -1px;
border-top-right-radius: 0;
border-top-left-radius: 0;
}
.navbar {
position: relative;
min-height: 30px;
margin-bottom: 18px;
border: 1px solid transparent;
}
@media (min-width: 541px) {
.navbar {
border-radius: 2px;
}
}
@media (min-width: 541px) {
.navbar-header {
float: left;
}
}
.navbar-collapse {
overflow-x: visible;
padding-right: 0px;
padding-left: 0px;
border-top: 1px solid transparent;
box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
-webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
overflow-y: auto;
}
@media (min-width: 541px) {
.navbar-collapse {
width: auto;
border-top: 0;
box-shadow: none;
}
.navbar-collapse.collapse {
display: block !important;
height: auto !important;
padding-bottom: 0;
overflow: visible !important;
}
.navbar-collapse.in {
overflow-y: visible;
}
.navbar-fixed-top .navbar-collapse,
.navbar-static-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
padding-left: 0;
padding-right: 0;
}
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
max-height: 200px;
}
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
margin-right: 0px;
margin-left: 0px;
}
@media (min-width: 541px) {
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
margin-right: 0;
margin-left: 0;
}
}
.navbar-static-top {
z-index: 1000;
border-width: 0 0 1px;
}
@media (min-width: 541px) {
.navbar-static-top {
border-radius: 0;
}
}
.navbar-fixed-top,
.navbar-fixed-bottom {
position: fixed;
right: 0;
left: 0;
z-index: 1030;
}
@media (min-width: 541px) {
.navbar-fixed-top,
.navbar-fixed-bottom {
border-radius: 0;
}
}
.navbar-fixed-top {
top: 0;
border-width: 0 0 1px;
}
.navbar-fixed-bottom {
bottom: 0;
margin-bottom: 0;
border-width: 1px 0 0;
}
.navbar-brand {
float: left;
padding: 6px 0px;
font-size: 17px;
line-height: 18px;
height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
text-decoration: none;
}
.navbar-brand > img {
display: block;
}
@media (min-width: 541px) {
.navbar > .container .navbar-brand,
.navbar > .container-fluid .navbar-brand {
margin-left: 0px;
}
}
.navbar-toggle {
position: relative;
float: right;
margin-right: 0px;
padding: 9px 10px;
margin-top: -2px;
margin-bottom: -2px;
background-color: transparent;
background-image: none;
border: 1px solid transparent;
border-radius: 2px;
}
.navbar-toggle:focus {
outline: 0;
}
.navbar-toggle .icon-bar {
display: block;
width: 22px;
height: 2px;
border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
margin-top: 4px;
}
@media (min-width: 541px) {
.navbar-toggle {
display: none;
}
}
.navbar-nav {
margin: 3px 0px;
}
.navbar-nav > li > a {
padding-top: 10px;
padding-bottom: 10px;
line-height: 18px;
}
@media (max-width: 540px) {
.navbar-nav .open .dropdown-menu {
position: static;
float: none;
width: auto;
margin-top: 0;
background-color: transparent;
border: 0;
box-shadow: none;
}
.navbar-nav .open .dropdown-menu > li > a,
.navbar-nav .open .dropdown-menu .dropdown-header {
padding: 5px 15px 5px 25px;
}
.navbar-nav .open .dropdown-menu > li > a {
line-height: 18px;
}
.navbar-nav .open .dropdown-menu > li > a:hover,
.navbar-nav .open .dropdown-menu > li > a:focus {
background-image: none;
}
}
@media (min-width: 541px) {
.navbar-nav {
float: left;
margin: 0;
}
.navbar-nav > li {
float: left;
}
.navbar-nav > li > a {
padding-top: 6px;
padding-bottom: 6px;
}
}
.navbar-form {
margin-left: 0px;
margin-right: 0px;
padding: 10px 0px;
border-top: 1px solid transparent;
border-bottom: 1px solid transparent;
-webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
margin-top: -1px;
margin-bottom: -1px;
}
@media (min-width: 768px) {
.navbar-form .form-group {
display: inline-block;
margin-bottom: 0;
vertical-align: middle;
}
.navbar-form .form-control {
display: inline-block;
width: auto;
vertical-align: middle;
}
.navbar-form .form-control-static {
display: inline-block;
}
.navbar-form .input-group {
display: inline-table;
vertical-align: middle;
}
.navbar-form .input-group .input-group-addon,
.navbar-form .input-group .input-group-btn,
.navbar-form .input-group .form-control {
width: auto;
}
.navbar-form .input-group > .form-control {
width: 100%;
}
.navbar-form .control-label {
margin-bottom: 0;
vertical-align: middle;
}
.navbar-form .radio,
.navbar-form .checkbox {
display: inline-block;
margin-top: 0;
margin-bottom: 0;
vertical-align: middle;
}
.navbar-form .radio label,
.navbar-form .checkbox label {
padding-left: 0;
}
.navbar-form .radio input[type="radio"],
.navbar-form .checkbox input[type="checkbox"] {
position: relative;
margin-left: 0;
}
.navbar-form .has-feedback .form-control-feedback {
top: 0;
}
}
@media (max-width: 540px) {
.navbar-form .form-group {
margin-bottom: 5px;
}
.navbar-form .form-group:last-child {
margin-bottom: 0;
}
}
@media (min-width: 541px) {
.navbar-form {
width: auto;
border: 0;
margin-left: 0;
margin-right: 0;
padding-top: 0;
padding-bottom: 0;
-webkit-box-shadow: none;
box-shadow: none;
}
}
.navbar-nav > li > .dropdown-menu {
margin-top: 0;
border-top-right-radius: 0;
border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
margin-bottom: 0;
border-top-right-radius: 2px;
border-top-left-radius: 2px;
border-bottom-right-radius: 0;
border-bottom-left-radius: 0;
}
.navbar-btn {
margin-top: -1px;
margin-bottom: -1px;
}
.navbar-btn.btn-sm {
margin-top: 0px;
margin-bottom: 0px;
}
.navbar-btn.btn-xs {
margin-top: 4px;
margin-bottom: 4px;
}
.navbar-text {
margin-top: 6px;
margin-bottom: 6px;
}
@media (min-width: 541px) {
.navbar-text {
float: left;
margin-left: 0px;
margin-right: 0px;
}
}
@media (min-width: 541px) {
.navbar-left {
float: left !important;
float: left;
}
.navbar-right {
float: right !important;
float: right;
margin-right: 0px;
}
.navbar-right ~ .navbar-right {
margin-right: 0;
}
}
.navbar-default {
background-color: #f8f8f8;
border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
color: #5e5e5e;
background-color: transparent;
}
.navbar-default .navbar-text {
color: #777;
}
.navbar-default .navbar-nav > li > a {
color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
color: #333;
background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
color: #555;
background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
color: #ccc;
background-color: transparent;
}
.navbar-default .navbar-toggle {
border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
background-color: #e7e7e7;
color: #555;
}
@media (max-width: 540px) {
.navbar-default .navbar-nav .open .dropdown-menu > li > a {
color: #777;
}
.navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
.navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
color: #333;
background-color: transparent;
}
.navbar-default .navbar-nav .open .dropdown-menu > .active > a,
.navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
.navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
color: #555;
background-color: #e7e7e7;
}
.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
.navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
color: #ccc;
background-color: transparent;
}
}
.navbar-default .navbar-link {
color: #777;
}
.navbar-default .navbar-link:hover {
color: #333;
}
.navbar-default .btn-link {
color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
color: #ccc;
}
.navbar-inverse {
background-color: #222;
border-color: #080808;
}
.navbar-inverse .navbar-brand {
color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
color: #fff;
background-color: transparent;
}
.navbar-inverse .navbar-text {
color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
color: #fff;
background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
color: #fff;
background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
color: #444;
background-color: transparent;
}
.navbar-inverse .navbar-toggle {
border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
background-color: #080808;
color: #fff;
}
@media (max-width: 540px) {
.navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
border-color: #080808;
}
.navbar-inverse .navbar-nav .open .dropdown-menu .divider {
background-color: #080808;
}
.navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
color: #9d9d9d;
}
.navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
.navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
color: #fff;
background-color: transparent;
}
.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
.navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
color: #fff;
background-color: #080808;
}
.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
.navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
color: #444;
background-color: transparent;
}
}
.navbar-inverse .navbar-link {
color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
color: #fff;
}
.navbar-inverse .btn-link {
color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
color: #444;
}
.breadcrumb {
padding: 8px 15px;
margin-bottom: 18px;
list-style: none;
background-color: #f5f5f5;
border-radius: 2px;
}
.breadcrumb > li {
display: inline-block;
}
.breadcrumb > li + li:before {
content: "/\00a0";
padding: 0 5px;
color: #5e5e5e;
}
.breadcrumb > .active {
color: #777777;
}
.pagination {
display: inline-block;
padding-left: 0;
margin: 18px 0;
border-radius: 2px;
}
.pagination > li {
display: inline;
}
.pagination > li > a,
.pagination > li > span {
position: relative;
float: left;
padding: 6px 12px;
line-height: 1.42857143;
text-decoration: none;
color: #337ab7;
background-color: #fff;
border: 1px solid #ddd;
margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
margin-left: 0;
border-bottom-left-radius: 2px;
border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
border-bottom-right-radius: 2px;
border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
z-index: 2;
color: #23527c;
background-color: #eeeeee;
border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
z-index: 3;
color: #fff;
background-color: #337ab7;
border-color: #337ab7;
cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
color: #777777;
background-color: #fff;
border-color: #ddd;
cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
padding: 10px 16px;
font-size: 17px;
line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
border-bottom-left-radius: 3px;
border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
border-bottom-right-radius: 3px;
border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
padding: 5px 10px;
font-size: 12px;
line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
border-bottom-left-radius: 1px;
border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
border-bottom-right-radius: 1px;
border-top-right-radius: 1px;
}
.pager {
padding-left: 0;
margin: 18px 0;
list-style: none;
text-align: center;
}
.pager li {
display: inline;
}
.pager li > a,
.pager li > span {
display: inline-block;
padding: 5px 14px;
background-color: #fff;
border: 1px solid #ddd;
border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
text-decoration: none;
background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
float: right;
}
.pager .previous > a,
.pager .previous > span {
float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
color: #777777;
background-color: #fff;
cursor: not-allowed;
}
.label {
display: inline;
padding: .2em .6em .3em;
font-size: 75%;
font-weight: bold;
line-height: 1;
color: #fff;
text-align: center;
white-space: nowrap;
vertical-align: baseline;
border-radius: .25em;
}
a.label:hover,
a.label:focus {
color: #fff;
text-decoration: none;
cursor: pointer;
}
.label:empty {
display: none;
}
.btn .label {
position: relative;
top: -1px;
}
.label-default {
background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
background-color: #5e5e5e;
}
.label-primary {
background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
background-color: #286090;
}
.label-success {
background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
background-color: #449d44;
}
.label-info {
background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
background-color: #31b0d5;
}
.label-warning {
background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
background-color: #ec971f;
}
.label-danger {
background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
background-color: #c9302c;
}
.badge {
display: inline-block;
min-width: 10px;
padding: 3px 7px;
font-size: 12px;
font-weight: bold;
color: #fff;
line-height: 1;
vertical-align: middle;
white-space: nowrap;
text-align: center;
background-color: #777777;
border-radius: 10px;
}
.badge:empty {
display: none;
}
.btn .badge {
position: relative;
top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
top: 0;
padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
color: #fff;
text-decoration: none;
cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
color: #337ab7;
background-color: #fff;
}
.list-group-item > .badge {
float: right;
}
.list-group-item > .badge + .badge {
margin-right: 5px;
}
.nav-pills > li > a > .badge {
margin-left: 3px;
}
.jumbotron {
padding-top: 30px;
padding-bottom: 30px;
margin-bottom: 30px;
color: inherit;
background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
color: inherit;
}
.jumbotron p {
margin-bottom: 15px;
font-size: 20px;
font-weight: 200;
}
.jumbotron > hr {
border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
border-radius: 3px;
padding-left: 0px;
padding-right: 0px;
}
.jumbotron .container {
max-width: 100%;
}
@media screen and (min-width: 768px) {
.jumbotron {
padding-top: 48px;
padding-bottom: 48px;
}
.container .jumbotron,
.container-fluid .jumbotron {
padding-left: 60px;
padding-right: 60px;
}
.jumbotron h1,
.jumbotron .h1 {
font-size: 59px;
}
}
.thumbnail {
display: block;
padding: 4px;
margin-bottom: 18px;
line-height: 1.42857143;
background-color: #fff;
border: 1px solid #ddd;
border-radius: 2px;
-webkit-transition: border 0.2s ease-in-out;
-o-transition: border 0.2s ease-in-out;
transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
margin-left: auto;
margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
border-color: #337ab7;
}
.thumbnail .caption {
padding: 9px;
color: #000;
}
.alert {
padding: 15px;
margin-bottom: 18px;
border: 1px solid transparent;
border-radius: 2px;
}
.alert h4 {
margin-top: 0;
color: inherit;
}
.alert .alert-link {
font-weight: bold;
}
.alert > p,
.alert > ul {
margin-bottom: 0;
}
.alert > p + p {
margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
position: relative;
top: -2px;
right: -21px;
color: inherit;
}
.alert-success {
background-color: #dff0d8;
border-color: #d6e9c6;
color: #3c763d;
}
.alert-success hr {
border-top-color: #c9e2b3;
}
.alert-success .alert-link {
color: #2b542c;
}
.alert-info {
background-color: #d9edf7;
border-color: #bce8f1;
color: #31708f;
}
.alert-info hr {
border-top-color: #a6e1ec;
}
.alert-info .alert-link {
color: #245269;
}
.alert-warning {
background-color: #fcf8e3;
border-color: #faebcc;
color: #8a6d3b;
}
.alert-warning hr {
border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
color: #66512c;
}
.alert-danger {
background-color: #f2dede;
border-color: #ebccd1;
color: #a94442;
}
.alert-danger hr {
border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
from {
background-position: 40px 0;
}
to {
background-position: 0 0;
}
}
@keyframes progress-bar-stripes {
from {
background-position: 40px 0;
}
to {
background-position: 0 0;
}
}
.progress {
overflow: hidden;
height: 18px;
margin-bottom: 18px;
background-color: #f5f5f5;
border-radius: 2px;
-webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
float: left;
width: 0%;
height: 100%;
font-size: 12px;
line-height: 18px;
color: #fff;
text-align: center;
background-color: #337ab7;
-webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
-webkit-transition: width 0.6s ease;
-o-transition: width 0.6s ease;
transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
-webkit-animation: progress-bar-stripes 2s linear infinite;
-o-animation: progress-bar-stripes 2s linear infinite;
animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
margin-top: 15px;
}
.media:first-child {
margin-top: 0;
}
.media,
.media-body {
zoom: 1;
overflow: hidden;
}
.media-body {
width: 10000px;
}
.media-object {
display: block;
}
.media-object.img-thumbnail {
max-width: none;
}
.media-right,
.media > .pull-right {
padding-left: 10px;
}
.media-left,
.media > .pull-left {
padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
display: table-cell;
vertical-align: top;
}
.media-middle {
vertical-align: middle;
}
.media-bottom {
vertical-align: bottom;
}
.media-heading {
margin-top: 0;
margin-bottom: 5px;
}
.media-list {
padding-left: 0;
list-style: none;
}
.list-group {
margin-bottom: 20px;
padding-left: 0;
}
.list-group-item {
position: relative;
display: block;
padding: 10px 15px;
margin-bottom: -1px;
background-color: #fff;
border: 1px solid #ddd;
}
.list-group-item:first-child {
border-top-right-radius: 2px;
border-top-left-radius: 2px;
}
.list-group-item:last-child {
margin-bottom: 0;
border-bottom-right-radius: 2px;
border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
text-decoration: none;
color: #555;
background-color: #f5f5f5;
}
button.list-group-item {
width: 100%;
text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
background-color: #eeeeee;
color: #777777;
cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
z-index: 2;
color: #fff;
background-color: #337ab7;
border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
color: #c7ddef;
}
.list-group-item-success {
color: #3c763d;
background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
color: #3c763d;
background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
color: #fff;
background-color: #3c763d;
border-color: #3c763d;
}
.list-group-item-info {
color: #31708f;
background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
color: #31708f;
background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
color: #fff;
background-color: #31708f;
border-color: #31708f;
}
.list-group-item-warning {
color: #8a6d3b;
background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
color: #8a6d3b;
background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
color: #fff;
background-color: #8a6d3b;
border-color: #8a6d3b;
}
.list-group-item-danger {
color: #a94442;
background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
color: #a94442;
background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
color: #fff;
background-color: #a94442;
border-color: #a94442;
}
.list-group-item-heading {
margin-top: 0;
margin-bottom: 5px;
}
.list-group-item-text {
margin-bottom: 0;
line-height: 1.3;
}
.panel {
margin-bottom: 18px;
background-color: #fff;
border: 1px solid transparent;
border-radius: 2px;
-webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
padding: 15px;
}
.panel-heading {
padding: 10px 15px;
border-bottom: 1px solid transparent;
border-top-right-radius: 1px;
border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
color: inherit;
}
.panel-title {
margin-top: 0;
margin-bottom: 0;
font-size: 15px;
color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
color: inherit;
}
.panel-footer {
padding: 10px 15px;
background-color: #f5f5f5;
border-top: 1px solid #ddd;
border-bottom-right-radius: 1px;
border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
border-width: 1px 0;
border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
border-top: 0;
border-top-right-radius: 1px;
border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
border-bottom: 0;
border-bottom-right-radius: 1px;
border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
border-top-right-radius: 0;
border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
border-top-width: 0;
}
.list-group + .panel-footer {
border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
padding-left: 15px;
padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
border-top-right-radius: 1px;
border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
border-top-left-radius: 1px;
border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
border-bottom-right-radius: 1px;
border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
border-bottom-left-radius: 1px;
border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
border-bottom: 0;
}
.panel > .table-responsive {
border: 0;
margin-bottom: 0;
}
.panel-group {
margin-bottom: 18px;
}
.panel-group .panel {
margin-bottom: 0;
border-radius: 2px;
}
.panel-group .panel + .panel {
margin-top: 5px;
}
.panel-group .panel-heading {
border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
border-bottom: 1px solid #ddd;
}
.panel-default {
border-color: #ddd;
}
.panel-default > .panel-heading {
color: #333333;
background-color: #f5f5f5;
border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
color: #f5f5f5;
background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
border-bottom-color: #ddd;
}
.panel-primary {
border-color: #337ab7;
}
.panel-primary > .panel-heading {
color: #fff;
background-color: #337ab7;
border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
color: #337ab7;
background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
border-bottom-color: #337ab7;
}
.panel-success {
border-color: #d6e9c6;
}
.panel-success > .panel-heading {
color: #3c763d;
background-color: #dff0d8;
border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
color: #dff0d8;
background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
border-bottom-color: #d6e9c6;
}
.panel-info {
border-color: #bce8f1;
}
.panel-info > .panel-heading {
color: #31708f;
background-color: #d9edf7;
border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
color: #d9edf7;
background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
border-bottom-color: #bce8f1;
}
.panel-warning {
border-color: #faebcc;
}
.panel-warning > .panel-heading {
color: #8a6d3b;
background-color: #fcf8e3;
border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
color: #fcf8e3;
background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
border-bottom-color: #faebcc;
}
.panel-danger {
border-color: #ebccd1;
}
.panel-danger > .panel-heading {
color: #a94442;
background-color: #f2dede;
border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
color: #f2dede;
background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
border-bottom-color: #ebccd1;
}
.embed-responsive {
position: relative;
display: block;
height: 0;
padding: 0;
overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
position: absolute;
top: 0;
left: 0;
bottom: 0;
height: 100%;
width: 100%;
border: 0;
}
.embed-responsive-16by9 {
padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
padding-bottom: 75%;
}
.well {
min-height: 20px;
padding: 19px;
margin-bottom: 20px;
background-color: #f5f5f5;
border: 1px solid #e3e3e3;
border-radius: 2px;
-webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
border-color: #ddd;
border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
padding: 24px;
border-radius: 3px;
}
.well-sm {
padding: 9px;
border-radius: 1px;
}
.close {
float: right;
font-size: 19.5px;
font-weight: bold;
line-height: 1;
color: #000;
text-shadow: 0 1px 0 #fff;
opacity: 0.2;
filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
color: #000;
text-decoration: none;
cursor: pointer;
opacity: 0.5;
filter: alpha(opacity=50);
}
button.close {
padding: 0;
cursor: pointer;
background: transparent;
border: 0;
-webkit-appearance: none;
}
.modal-open {
overflow: hidden;
}
.modal {
display: none;
overflow: hidden;
position: fixed;
top: 0;
right: 0;
bottom: 0;
left: 0;
z-index: 1050;
-webkit-overflow-scrolling: touch;
outline: 0;
}
.modal.fade .modal-dialog {
-webkit-transform: translate(0, -25%);
-ms-transform: translate(0, -25%);
-o-transform: translate(0, -25%);
transform: translate(0, -25%);
-webkit-transition: -webkit-transform 0.3s ease-out;
-moz-transition: -moz-transform 0.3s ease-out;
-o-transition: -o-transform 0.3s ease-out;
transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
-webkit-transform: translate(0, 0);
-ms-transform: translate(0, 0);
-o-transform: translate(0, 0);
transform: translate(0, 0);
}
.modal-open .modal {
overflow-x: hidden;
overflow-y: auto;
}
.modal-dialog {
position: relative;
width: auto;
margin: 10px;
}
.modal-content {
position: relative;
background-color: #fff;
border: 1px solid #999;
border: 1px solid rgba(0, 0, 0, 0.2);
border-radius: 3px;
-webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
background-clip: padding-box;
outline: 0;
}
.modal-backdrop {
position: fixed;
top: 0;
right: 0;
bottom: 0;
left: 0;
z-index: 1040;
background-color: #000;
}
.modal-backdrop.fade {
opacity: 0;
filter: alpha(opacity=0);
}
.modal-backdrop.in {
opacity: 0.5;
filter: alpha(opacity=50);
}
.modal-header {
padding: 15px;
border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
margin-top: -2px;
}
.modal-title {
margin: 0;
line-height: 1.42857143;
}
.modal-body {
position: relative;
padding: 15px;
}
.modal-footer {
padding: 15px;
text-align: right;
border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
margin-left: 5px;
margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
margin-left: 0;
}
.modal-scrollbar-measure {
position: absolute;
top: -9999px;
width: 50px;
height: 50px;
overflow: scroll;
}
@media (min-width: 768px) {
.modal-dialog {
width: 600px;
margin: 30px auto;
}
.modal-content {
-webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
}
.modal-sm {
width: 300px;
}
}
@media (min-width: 992px) {
.modal-lg {
width: 900px;
}
}
.tooltip {
position: absolute;
z-index: 1070;
display: block;
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
font-style: normal;
font-weight: normal;
letter-spacing: normal;
line-break: auto;
line-height: 1.42857143;
text-align: left;
text-align: start;
text-decoration: none;
text-shadow: none;
text-transform: none;
white-space: normal;
word-break: normal;
word-spacing: normal;
word-wrap: normal;
font-size: 12px;
opacity: 0;
filter: alpha(opacity=0);
}
.tooltip.in {
opacity: 0.9;
filter: alpha(opacity=90);
}
.tooltip.top {
margin-top: -3px;
padding: 5px 0;
}
.tooltip.right {
margin-left: 3px;
padding: 0 5px;
}
.tooltip.bottom {
margin-top: 3px;
padding: 5px 0;
}
.tooltip.left {
margin-left: -3px;
padding: 0 5px;
}
.tooltip-inner {
max-width: 200px;
padding: 3px 8px;
color: #fff;
text-align: center;
background-color: #000;
border-radius: 2px;
}
.tooltip-arrow {
position: absolute;
width: 0;
height: 0;
border-color: transparent;
border-style: solid;
}
.tooltip.top .tooltip-arrow {
bottom: 0;
left: 50%;
margin-left: -5px;
border-width: 5px 5px 0;
border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
bottom: 0;
right: 5px;
margin-bottom: -5px;
border-width: 5px 5px 0;
border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
bottom: 0;
left: 5px;
margin-bottom: -5px;
border-width: 5px 5px 0;
border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
top: 50%;
left: 0;
margin-top: -5px;
border-width: 5px 5px 5px 0;
border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
top: 50%;
right: 0;
margin-top: -5px;
border-width: 5px 0 5px 5px;
border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
top: 0;
left: 50%;
margin-left: -5px;
border-width: 0 5px 5px;
border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
top: 0;
right: 5px;
margin-top: -5px;
border-width: 0 5px 5px;
border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
top: 0;
left: 5px;
margin-top: -5px;
border-width: 0 5px 5px;
border-bottom-color: #000;
}
.popover {
position: absolute;
top: 0;
left: 0;
z-index: 1060;
display: none;
max-width: 276px;
padding: 1px;
font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
font-style: normal;
font-weight: normal;
letter-spacing: normal;
line-break: auto;
line-height: 1.42857143;
text-align: left;
text-align: start;
text-decoration: none;
text-shadow: none;
text-transform: none;
white-space: normal;
word-break: normal;
word-spacing: normal;
word-wrap: normal;
font-size: 13px;
background-color: #fff;
background-clip: padding-box;
border: 1px solid #ccc;
border: 1px solid rgba(0, 0, 0, 0.2);
border-radius: 3px;
-webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
margin-top: -10px;
}
.popover.right {
margin-left: 10px;
}
.popover.bottom {
margin-top: 10px;
}
.popover.left {
margin-left: -10px;
}
.popover-title {
margin: 0;
padding: 8px 14px;
font-size: 13px;
background-color: #f7f7f7;
border-bottom: 1px solid #ebebeb;
border-radius: 2px 2px 0 0;
}
.popover-content {
padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
position: absolute;
display: block;
width: 0;
height: 0;
border-color: transparent;
border-style: solid;
}
.popover > .arrow {
border-width: 11px;
}
.popover > .arrow:after {
border-width: 10px;
content: "";
}
.popover.top > .arrow {
left: 50%;
margin-left: -11px;
border-bottom-width: 0;
border-top-color: #999999;
border-top-color: rgba(0, 0, 0, 0.25);
bottom: -11px;
}
.popover.top > .arrow:after {
content: " ";
bottom: 1px;
margin-left: -10px;
border-bottom-width: 0;
border-top-color: #fff;
}
.popover.right > .arrow {
top: 50%;
left: -11px;
margin-top: -11px;
border-left-width: 0;
border-right-color: #999999;
border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
content: " ";
left: 1px;
bottom: -10px;
border-left-width: 0;
border-right-color: #fff;
}
.popover.bottom > .arrow {
left: 50%;
margin-left: -11px;
border-top-width: 0;
border-bottom-color: #999999;
border-bottom-color: rgba(0, 0, 0, 0.25);
top: -11px;
}
.popover.bottom > .arrow:after {
content: " ";
top: 1px;
margin-left: -10px;
border-top-width: 0;
border-bottom-color: #fff;
}
.popover.left > .arrow {
top: 50%;
right: -11px;
margin-top: -11px;
border-right-width: 0;
border-left-color: #999999;
border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
content: " ";
right: 1px;
border-right-width: 0;
border-left-color: #fff;
bottom: -10px;
}
.carousel {
position: relative;
}
.carousel-inner {
position: relative;
overflow: hidden;
width: 100%;
}
.carousel-inner > .item {
display: none;
position: relative;
-webkit-transition: 0.6s ease-in-out left;
-o-transition: 0.6s ease-in-out left;
transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
.carousel-inner > .item {
-webkit-transition: -webkit-transform 0.6s ease-in-out;
-moz-transition: -moz-transform 0.6s ease-in-out;
-o-transition: -o-transform 0.6s ease-in-out;
transition: transform 0.6s ease-in-out;
-webkit-backface-visibility: hidden;
-moz-backface-visibility: hidden;
backface-visibility: hidden;
-webkit-perspective: 1000px;
-moz-perspective: 1000px;
perspective: 1000px;
}
.carousel-inner > .item.next,
.carousel-inner > .item.active.right {
-webkit-transform: translate3d(100%, 0, 0);
transform: translate3d(100%, 0, 0);
left: 0;
}
.carousel-inner > .item.prev,
.carousel-inner > .item.active.left {
-webkit-transform: translate3d(-100%, 0, 0);
transform: translate3d(-100%, 0, 0);
left: 0;
}
.carousel-inner > .item.next.left,
.carousel-inner > .item.prev.right,
.carousel-inner > .item.active {
-webkit-transform: translate3d(0, 0, 0);
transform: translate3d(0, 0, 0);
left: 0;
}
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
display: block;
}
.carousel-inner > .active {
left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
position: absolute;
top: 0;
width: 100%;
}
.carousel-inner > .next {
left: 100%;
}
.carousel-inner > .prev {
left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
left: 0;
}
.carousel-inner > .active.left {
left: -100%;
}
.carousel-inner > .active.right {
left: 100%;
}
.carousel-control {
position: absolute;
top: 0;
left: 0;
bottom: 0;
width: 15%;
opacity: 0.5;
filter: alpha(opacity=50);
font-size: 20px;
color: #fff;
text-align: center;
text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
left: auto;
right: 0;
background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
background-repeat: repeat-x;
filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
outline: 0;
color: #fff;
text-decoration: none;
opacity: 0.9;
filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
position: absolute;
top: 50%;
margin-top: -10px;
z-index: 5;
display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
left: 50%;
margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
right: 50%;
margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
width: 20px;
height: 20px;
line-height: 1;
font-family: serif;
}
.carousel-control .icon-prev:before {
content: '\2039';
}
.carousel-control .icon-next:before {
content: '\203a';
}
.carousel-indicators {
position: absolute;
bottom: 10px;
left: 50%;
z-index: 15;
width: 60%;
margin-left: -30%;
padding-left: 0;
list-style: none;
text-align: center;
}
.carousel-indicators li {
display: inline-block;
width: 10px;
height: 10px;
margin: 1px;
text-indent: -999px;
border: 1px solid #fff;
border-radius: 10px;
cursor: pointer;
background-color: #000 \9;
background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
margin: 0;
width: 12px;
height: 12px;
background-color: #fff;
}
.carousel-caption {
position: absolute;
left: 15%;
right: 15%;
bottom: 20px;
z-index: 10;
padding-top: 20px;
padding-bottom: 20px;
color: #fff;
text-align: center;
text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
text-shadow: none;
}
@media screen and (min-width: 768px) {
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right,
.carousel-control .icon-prev,
.carousel-control .icon-next {
width: 30px;
height: 30px;
margin-top: -10px;
font-size: 30px;
}
.carousel-control .glyphicon-chevron-left,
.carousel-control .icon-prev {
margin-left: -10px;
}
.carousel-control .glyphicon-chevron-right,
.carousel-control .icon-next {
margin-right: -10px;
}
.carousel-caption {
left: 20%;
right: 20%;
padding-bottom: 30px;
}
.carousel-indicators {
bottom: 20px;
}
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
content: " ";
display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
clear: both;
}
.center-block {
display: block;
margin-left: auto;
margin-right: auto;
}
.pull-right {
float: right !important;
}
.pull-left {
float: left !important;
}
.hide {
display: none !important;
}
.show {
display: block !important;
}
.invisible {
visibility: hidden;
}
.text-hide {
font: 0/0 a;
color: transparent;
text-shadow: none;
background-color: transparent;
border: 0;
}
.hidden {
display: none !important;
}
.affix {
position: fixed;
}
@-ms-viewport {
width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
display: none !important;
}
@media (max-width: 767px) {
.visible-xs {
display: block !important;
}
table.visible-xs {
display: table !important;
}
tr.visible-xs {
display: table-row !important;
}
th.visible-xs,
td.visible-xs {
display: table-cell !important;
}
}
@media (max-width: 767px) {
.visible-xs-block {
display: block !important;
}
}
@media (max-width: 767px) {
.visible-xs-inline {
display: inline !important;
}
}
@media (max-width: 767px) {
.visible-xs-inline-block {
display: inline-block !important;
}
}
@media (min-width: 768px) and (max-width: 991px) {
.visible-sm {
display: block !important;
}
table.visible-sm {
display: table !important;
}
tr.visible-sm {
display: table-row !important;
}
th.visible-sm,
td.visible-sm {
display: table-cell !important;
}
}
@media (min-width: 768px) and (max-width: 991px) {
.visible-sm-block {
display: block !important;
}
}
@media (min-width: 768px) and (max-width: 991px) {
.visible-sm-inline {
display: inline !important;
}
}
@media (min-width: 768px) and (max-width: 991px) {
.visible-sm-inline-block {
display: inline-block !important;
}
}
@media (min-width: 992px) and (max-width: 1199px) {
.visible-md {
display: block !important;
}
table.visible-md {
display: table !important;
}
tr.visible-md {
display: table-row !important;
}
th.visible-md,
td.visible-md {
display: table-cell !important;
}
}
@media (min-width: 992px) and (max-width: 1199px) {
.visible-md-block {
display: block !important;
}
}
@media (min-width: 992px) and (max-width: 1199px) {
.visible-md-inline {
display: inline !important;
}
}
@media (min-width: 992px) and (max-width: 1199px) {
.visible-md-inline-block {
display: inline-block !important;
}
}
@media (min-width: 1200px) {
.visible-lg {
display: block !important;
}
table.visible-lg {
display: table !important;
}
tr.visible-lg {
display: table-row !important;
}
th.visible-lg,
td.visible-lg {
display: table-cell !important;
}
}
@media (min-width: 1200px) {
.visible-lg-block {
display: block !important;
}
}
@media (min-width: 1200px) {
.visible-lg-inline {
display: inline !important;
}
}
@media (min-width: 1200px) {
.visible-lg-inline-block {
display: inline-block !important;
}
}
@media (max-width: 767px) {
.hidden-xs {
display: none !important;
}
}
@media (min-width: 768px) and (max-width: 991px) {
.hidden-sm {
display: none !important;
}
}
@media (min-width: 992px) and (max-width: 1199px) {
.hidden-md {
display: none !important;
}
}
@media (min-width: 1200px) {
.hidden-lg {
display: none !important;
}
}
.visible-print {
display: none !important;
}
@media print {
.visible-print {
display: block !important;
}
table.visible-print {
display: table !important;
}
tr.visible-print {
display: table-row !important;
}
th.visible-print,
td.visible-print {
display: table-cell !important;
}
}
.visible-print-block {
display: none !important;
}
@media print {
.visible-print-block {
display: block !important;
}
}
.visible-print-inline {
display: none !important;
}
@media print {
.visible-print-inline {
display: inline !important;
}
}
.visible-print-inline-block {
display: none !important;
}
@media print {
.visible-print-inline-block {
display: inline-block !important;
}
}
@media print {
.hidden-print {
display: none !important;
}
}
/*!
*
* Font Awesome
*
*/
/*!
* Font Awesome 4.2.0 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;
border-radius: 0px;
}
#find-and-replace #replace-preview {
max-height: 60vh;
overflow: auto;
}
#find-and-replace #replace-preview pre {
padding: 5px 10px;
}
.terminal-app {
background: #EEE;
}
.terminal-app #header {
background: #fff;
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.terminal-app .terminal {
width: 100%;
float: left;
font-family: monospace;
color: white;
background: black;
padding: 0.4em;
border-radius: 2px;
-webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
line-height: 1em;
font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
padding: 10px;
}
.terminal-app .terminal-cursor {
color: black;
background: white;
}
.terminal-app #terminado-container {
margin-top: 20px;
}
/*# sourceMappingURL=style.min.css.map */
</style>
<style type="text/css">
.highlight .hll { background-color: #ffffcc }
.highlight { background: #f8f8f8; }
.highlight .c { color: #408080; font-style: italic } /* Comment */
.highlight .err { border: 1px solid #FF0000 } /* Error */
.highlight .k { color: #008000; font-weight: bold } /* Keyword */
.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
.highlight .sd { color: #BA2121; font-style: italic } /* Literal.String.Doc */
.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
</style>
<style type="text/css">
/* Temporary definitions which will become obsolete with Notebook release 5.0 */
.ansi-black-fg { color: #3E424D; }
.ansi-black-bg { background-color: #3E424D; }
.ansi-black-intense-fg { color: #282C36; }
.ansi-black-intense-bg { background-color: #282C36; }
.ansi-red-fg { color: #E75C58; }
.ansi-red-bg { background-color: #E75C58; }
.ansi-red-intense-fg { color: #B22B31; }
.ansi-red-intense-bg { background-color: #B22B31; }
.ansi-green-fg { color: #00A250; }
.ansi-green-bg { background-color: #00A250; }
.ansi-green-intense-fg { color: #007427; }
.ansi-green-intense-bg { background-color: #007427; }
.ansi-yellow-fg { color: #DDB62B; }
.ansi-yellow-bg { background-color: #DDB62B; }
.ansi-yellow-intense-fg { color: #B27D12; }
.ansi-yellow-intense-bg { background-color: #B27D12; }
.ansi-blue-fg { color: #208FFB; }
.ansi-blue-bg { background-color: #208FFB; }
.ansi-blue-intense-fg { color: #0065CA; }
.ansi-blue-intense-bg { background-color: #0065CA; }
.ansi-magenta-fg { color: #D160C4; }
.ansi-magenta-bg { background-color: #D160C4; }
.ansi-magenta-intense-fg { color: #A03196; }
.ansi-magenta-intense-bg { background-color: #A03196; }
.ansi-cyan-fg { color: #60C6C8; }
.ansi-cyan-bg { background-color: #60C6C8; }
.ansi-cyan-intense-fg { color: #258F8F; }
.ansi-cyan-intense-bg { background-color: #258F8F; }
.ansi-white-fg { color: #C5C1B4; }
.ansi-white-bg { background-color: #C5C1B4; }
.ansi-white-intense-fg { color: #A1A6B2; }
.ansi-white-intense-bg { background-color: #A1A6B2; }
.ansi-bold { font-weight: bold; }
</style>
<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
overflow: visible;
padding: 8px;
}
div#notebook {
overflow: visible;
border-top: none;
}
@media print {
div.cell {
display: block;
page-break-inside: avoid;
}
div.output_wrapper {
display: block;
page-break-inside: avoid;
}
div.output {
display: block;
page-break-inside: avoid;
}
}
</style>
<!-- Custom stylesheet, it must be in the same directory as the html file -->
<link rel="stylesheet" href="custom.css">
<!-- Loading mathjax macro -->
<!-- Load mathjax -->
<script src="https://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS_HTML"></script>
<!-- MathJax configuration -->
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
tex2jax: {
inlineMath: [ ['$','$'], ["\\(","\\)"] ],
displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
processEscapes: true,
processEnvironments: true
},
// Center justify equations in code and markdown cells. Elsewhere
// we use CSS to left justify single line equations in code cells.
displayAlign: 'center',
"HTML-CSS": {
styles: {'.MathJax_Display': {"margin": 0}},
linebreaks: { automatic: true }
}
});
</script>
<!-- End of mathjax configuration --></head>
<body>
<div tabindex="-1" id="notebook" class="border-box-sizing">
<div class="container" id="notebook-container">
<div class="cell border-box-sizing 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="Your-first-neural-network">Your first neural network<a class="anchor-link" href="#Your-first-neural-network">&#182;</a></h1><p>In this project, you'll build your first neural network and use it to predict daily bike rental ridership. We've provided some of the code, but left the implementation of the neural network up to you (for the most part). After you've submitted this project, feel free to explore the data and the model more.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[1]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="o">%</span><span class="k">matplotlib</span> inline
<span class="o">%</span><span class="k">config</span> InlineBackend.figure_format = &#39;retina&#39;
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</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="Load-and-prepare-the-data">Load and prepare the data<a class="anchor-link" href="#Load-and-prepare-the-data">&#182;</a></h2><p>A critical step in working with neural networks is preparing the data correctly. Variables on different scales make it difficult for the network to efficiently learn the correct weights. Below, we've written the code to load and prepare the data. You'll learn more about this soon!</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[2]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">data_path</span> <span class="o">=</span> <span class="s1">&#39;Bike-Sharing-Dataset/hour.csv&#39;</span>
<span class="n">rides</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="n">data_path</span><span class="p">)</span>
</pre></div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[3]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rides</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>
</div>
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="prompt output_prompt">Out[3]:</div>
<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>instant</th>
<th>dteday</th>
<th>season</th>
<th>yr</th>
<th>mnth</th>
<th>hr</th>
<th>holiday</th>
<th>weekday</th>
<th>workingday</th>
<th>weathersit</th>
<th>temp</th>
<th>atemp</th>
<th>hum</th>
<th>windspeed</th>
<th>casual</th>
<th>registered</th>
<th>cnt</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2011-01-01</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>1</td>
<td>0.24</td>
<td>0.2879</td>
<td>0.81</td>
<td>0.0</td>
<td>3</td>
<td>13</td>
<td>16</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2011-01-01</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>1</td>
<td>0.22</td>
<td>0.2727</td>
<td>0.80</td>
<td>0.0</td>
<td>8</td>
<td>32</td>
<td>40</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2011-01-01</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>1</td>
<td>0.22</td>
<td>0.2727</td>
<td>0.80</td>
<td>0.0</td>
<td>5</td>
<td>27</td>
<td>32</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2011-01-01</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>3</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>1</td>
<td>0.24</td>
<td>0.2879</td>
<td>0.75</td>
<td>0.0</td>
<td>3</td>
<td>10</td>
<td>13</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2011-01-01</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>4</td>
<td>0</td>
<td>6</td>
<td>0</td>
<td>1</td>
<td>0.24</td>
<td>0.2879</td>
<td>0.75</td>
<td>0.0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
</tbody>
</table>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h2 id="Checking-out-the-data">Checking out the data<a class="anchor-link" href="#Checking-out-the-data">&#182;</a></h2><p>This dataset has the number of riders for each hour of each day from January 1 2011 to December 31 2012. The number of riders is split between casual and registered, summed up in the <code>cnt</code> column. You can see the first few rows of the data above.</p>
<p>Below is a plot showing the number of bike riders over the first 10 days in the data set. You can see the hourly rentals here. This data is pretty complicated! The weekends have lower over all ridership and there are spikes when people are biking to and from work during the week. Looking at the data above, we also have information about temperature, humidity, and windspeed, all of these likely affecting the number of riders. You'll be trying to capture all this with your model.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[4]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">rides</span><span class="p">[:</span><span class="mi">24</span><span class="o">*</span><span class="mi">10</span><span class="p">]</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">x</span><span class="o">=</span><span class="s1">&#39;dteday&#39;</span><span class="p">,</span> <span class="n">y</span><span class="o">=</span><span class="s1">&#39;cnt&#39;</span><span class="p">)</span>
</pre></div>
</div>
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="prompt output_prompt">Out[4]:</div>
<div class="output_text output_subarea output_execute_result">
<pre>&lt;matplotlib.axes._subplots.AxesSubplot at 0x7fe0aaf737b8&gt;</pre>
</div>
</div>
<div class="output_area">
<div class="prompt"></div>
<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABBoAAALzCAYAAAC/R2QvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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"
width=525
height=377
>
</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">
<h3 id="Dummy-variables">Dummy variables<a class="anchor-link" href="#Dummy-variables">&#182;</a></h3><p>Here we have some categorical variables like season, weather, month. To include these in our model, we'll need to make binary dummy variables. This is simple to do with Pandas thanks to <code>get_dummies()</code>.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[5]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dummy_fields</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;season&#39;</span><span class="p">,</span> <span class="s1">&#39;weathersit&#39;</span><span class="p">,</span> <span class="s1">&#39;mnth&#39;</span><span class="p">,</span> <span class="s1">&#39;hr&#39;</span><span class="p">,</span> <span class="s1">&#39;weekday&#39;</span><span class="p">]</span>
<span class="k">for</span> <span class="n">each</span> <span class="ow">in</span> <span class="n">dummy_fields</span><span class="p">:</span>
<span class="n">dummies</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">get_dummies</span><span class="p">(</span><span class="n">rides</span><span class="p">[</span><span class="n">each</span><span class="p">],</span> <span class="n">prefix</span><span class="o">=</span><span class="n">each</span><span class="p">,</span> <span class="n">drop_first</span><span class="o">=</span><span class="kc">False</span><span class="p">)</span>
<span class="n">rides</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">rides</span><span class="p">,</span> <span class="n">dummies</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">fields_to_drop</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;instant&#39;</span><span class="p">,</span> <span class="s1">&#39;dteday&#39;</span><span class="p">,</span> <span class="s1">&#39;season&#39;</span><span class="p">,</span> <span class="s1">&#39;weathersit&#39;</span><span class="p">,</span>
<span class="s1">&#39;weekday&#39;</span><span class="p">,</span> <span class="s1">&#39;atemp&#39;</span><span class="p">,</span> <span class="s1">&#39;mnth&#39;</span><span class="p">,</span> <span class="s1">&#39;workingday&#39;</span><span class="p">,</span> <span class="s1">&#39;hr&#39;</span><span class="p">]</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">rides</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">fields_to_drop</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>
<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
</pre></div>
</div>
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="prompt output_prompt">Out[5]:</div>
<div class="output_html rendered_html output_subarea output_execute_result">
<div>
<table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>yr</th>
<th>holiday</th>
<th>temp</th>
<th>hum</th>
<th>windspeed</th>
<th>casual</th>
<th>registered</th>
<th>cnt</th>
<th>season_1</th>
<th>season_2</th>
<th>...</th>
<th>hr_21</th>
<th>hr_22</th>
<th>hr_23</th>
<th>weekday_0</th>
<th>weekday_1</th>
<th>weekday_2</th>
<th>weekday_3</th>
<th>weekday_4</th>
<th>weekday_5</th>
<th>weekday_6</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
<td>0</td>
<td>0.24</td>
<td>0.81</td>
<td>0.0</td>
<td>3</td>
<td>13</td>
<td>16</td>
<td>1</td>
<td>0</td>
<td>...</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>0</td>
<td>0</td>
<td>0.22</td>
<td>0.80</td>
<td>0.0</td>
<td>8</td>
<td>32</td>
<td>40</td>
<td>1</td>
<td>0</td>
<td>...</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>0</td>
<td>0</td>
<td>0.22</td>
<td>0.80</td>
<td>0.0</td>
<td>5</td>
<td>27</td>
<td>32</td>
<td>1</td>
<td>0</td>
<td>...</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>3</th>
<td>0</td>
<td>0</td>
<td>0.24</td>
<td>0.75</td>
<td>0.0</td>
<td>3</td>
<td>10</td>
<td>13</td>
<td>1</td>
<td>0</td>
<td>...</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>0</td>
<td>0</td>
<td>0.24</td>
<td>0.75</td>
<td>0.0</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>...</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
</tbody>
</table>
<p>5 rows × 59 columns</p>
</div>
</div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing text_cell rendered">
<div class="prompt input_prompt">
</div>
<div class="inner_cell">
<div class="text_cell_render border-box-sizing rendered_html">
<h3 id="Scaling-target-variables">Scaling target variables<a class="anchor-link" href="#Scaling-target-variables">&#182;</a></h3><p>To make training the network easier, we'll standardize each of the continuous variables. That is, we'll shift and scale the variables such that they have zero mean and a standard deviation of 1.</p>
<p>The scaling factors are saved so we can go backwards when we use the network for predictions.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[6]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">quant_features</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;casual&#39;</span><span class="p">,</span> <span class="s1">&#39;registered&#39;</span><span class="p">,</span> <span class="s1">&#39;cnt&#39;</span><span class="p">,</span> <span class="s1">&#39;temp&#39;</span><span class="p">,</span> <span class="s1">&#39;hum&#39;</span><span class="p">,</span> <span class="s1">&#39;windspeed&#39;</span><span class="p">]</span>
<span class="c1"># Store scalings in a dictionary so we can convert back later</span>
<span class="n">scaled_features</span> <span class="o">=</span> <span class="p">{}</span>
<span class="k">for</span> <span class="n">each</span> <span class="ow">in</span> <span class="n">quant_features</span><span class="p">:</span>
<span class="n">mean</span><span class="p">,</span> <span class="n">std</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="n">each</span><span class="p">]</span><span class="o">.</span><span class="n">mean</span><span class="p">(),</span> <span class="n">data</span><span class="p">[</span><span class="n">each</span><span class="p">]</span><span class="o">.</span><span class="n">std</span><span class="p">()</span>
<span class="n">scaled_features</span><span class="p">[</span><span class="n">each</span><span class="p">]</span> <span class="o">=</span> <span class="p">[</span><span class="n">mean</span><span class="p">,</span> <span class="n">std</span><span class="p">]</span>
<span class="n">data</span><span class="o">.</span><span class="n">loc</span><span class="p">[:,</span> <span class="n">each</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="n">data</span><span class="p">[</span><span class="n">each</span><span class="p">]</span> <span class="o">-</span> <span class="n">mean</span><span class="p">)</span><span class="o">/</span><span class="n">std</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">
<h3 id="Splitting-the-data-into-training,-testing,-and-validation-sets">Splitting the data into training, testing, and validation sets<a class="anchor-link" href="#Splitting-the-data-into-training,-testing,-and-validation-sets">&#182;</a></h3><p>We'll save the last 21 days of the data to use as a test set after we've trained the network. We'll use this set to make predictions and compare them with the actual number of riders.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[7]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Save the last 21 days </span>
<span class="n">test_data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[</span><span class="o">-</span><span class="mi">21</span><span class="o">*</span><span class="mi">24</span><span class="p">:]</span>
<span class="n">data</span> <span class="o">=</span> <span class="n">data</span><span class="p">[:</span><span class="o">-</span><span class="mi">21</span><span class="o">*</span><span class="mi">24</span><span class="p">]</span>
<span class="c1"># Separate the data into features and targets</span>
<span class="n">target_fields</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">,</span> <span class="s1">&#39;casual&#39;</span><span class="p">,</span> <span class="s1">&#39;registered&#39;</span><span class="p">]</span>
<span class="n">features</span><span class="p">,</span> <span class="n">targets</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">target_fields</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">),</span> <span class="n">data</span><span class="p">[</span><span class="n">target_fields</span><span class="p">]</span>
<span class="n">test_features</span><span class="p">,</span> <span class="n">test_targets</span> <span class="o">=</span> <span class="n">test_data</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">target_fields</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">),</span> <span class="n">test_data</span><span class="p">[</span><span class="n">target_fields</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">
<p>We'll split the data into two sets, one for training and one for validating as the network is being trained. Since this is time series data, we'll train on historical data, then try to predict on future data (the validation set).</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[8]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Hold out the last 60 days of the remaining data as a validation set</span>
<span class="n">train_features</span><span class="p">,</span> <span class="n">train_targets</span> <span class="o">=</span> <span class="n">features</span><span class="p">[:</span><span class="o">-</span><span class="mi">60</span><span class="o">*</span><span class="mi">24</span><span class="p">],</span> <span class="n">targets</span><span class="p">[:</span><span class="o">-</span><span class="mi">60</span><span class="o">*</span><span class="mi">24</span><span class="p">]</span>
<span class="n">val_features</span><span class="p">,</span> <span class="n">val_targets</span> <span class="o">=</span> <span class="n">features</span><span class="p">[</span><span class="o">-</span><span class="mi">60</span><span class="o">*</span><span class="mi">24</span><span class="p">:],</span> <span class="n">targets</span><span class="p">[</span><span class="o">-</span><span class="mi">60</span><span class="o">*</span><span class="mi">24</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="Time-to-build-the-network">Time to build the network<a class="anchor-link" href="#Time-to-build-the-network">&#182;</a></h2><p>Below you'll build your network. We've built out the structure and the backwards pass. You'll implement the forward pass through the network. You'll also set the hyperparameters: the learning rate, the number of hidden units, and the number of training passes.</p>
<p>The network has two layers, a hidden layer and an output layer. The hidden layer will use the sigmoid function for activations. The output layer has only one node and is used for the regression, the output of the node is the same as the input of the node. That is, the activation function is $f(x)=x$. A function that takes the input signal and generates an output signal, but takes into account the threshold, is called an activation function. We work through each layer of our network calculating the outputs for each neuron. All of the outputs from one layer become inputs to the neurons on the next layer. This process is called <em>forward propagation</em>.</p>
<p>We use the weights to propagate signals forward from the input to the output layers in a neural network. We use the weights to also propagate error backwards from the output back into the network to update our weights. This is called <em>backpropagation</em>.</p>
<blockquote><p><strong>Hint:</strong> You'll need the derivative of the output activation function ($f(x) = x$) for the backpropagation implementation. If you aren't familiar with calculus, this function is equivalent to the equation $y = x$. What is the slope of that equation? That is the derivative of $f(x)$.</p>
</blockquote>
<p>Below, you have these tasks:</p>
<ol>
<li>Implement the sigmoid function to use as the activation function. Set <code>self.activation_function</code> in <code>__init__</code> to your sigmoid function.</li>
<li>Implement the forward pass in the <code>train</code> method.</li>
<li>Implement the backpropagation algorithm in the <code>train</code> method, including calculating the output error.</li>
<li>Implement the forward pass in the <code>run</code> method.</li>
</ol>
</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">
<h4 id="Shape-of-weight-matrices">Shape of weight matrices<a class="anchor-link" href="#Shape-of-weight-matrices">&#182;</a></h4>
<pre><code>Node j1 -&gt; | w1|w2|w3|....wn
---------------|--|-------
Node j2 -&gt; | w1|w2|w3|....wn
---------------|--|-------
Node j3 -&gt; | w1|w2|w3|....wn
. ...
. ...
Node jm ...</code></pre>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[82]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="k">class</span> <span class="nc">NeuralNetwork</span><span class="p">(</span><span class="nb">object</span><span class="p">):</span>
<span class="k">def</span> <span class="nf">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">input_nodes</span><span class="p">,</span> <span class="n">hidden_nodes</span><span class="p">,</span> <span class="n">output_nodes</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">):</span>
<span class="c1"># Set number of nodes in input, hidden and output layers.</span>
<span class="bp">self</span><span class="o">.</span><span class="n">input_nodes</span> <span class="o">=</span> <span class="n">input_nodes</span>
<span class="bp">self</span><span class="o">.</span><span class="n">hidden_nodes</span> <span class="o">=</span> <span class="n">hidden_nodes</span>
<span class="bp">self</span><span class="o">.</span><span class="n">output_nodes</span> <span class="o">=</span> <span class="n">output_nodes</span>
<span class="c1">#print(&quot;DEBUG: hidden units &quot;,self.hidden_nodes)</span>
<span class="c1"># Initialize weights</span>
<span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</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">normal</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_nodes</span><span class="o">**-</span><span class="mf">0.5</span><span class="p">,</span>
<span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">hidden_nodes</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">input_nodes</span><span class="p">))</span> <span class="c1"># shape hidden_n x n_features</span>
<span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</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">normal</span><span class="p">(</span><span class="mf">0.0</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_nodes</span><span class="o">**-</span><span class="mf">0.5</span><span class="p">,</span>
<span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">output_nodes</span><span class="p">,</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_nodes</span><span class="p">))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">lr</span> <span class="o">=</span> <span class="n">learning_rate</span>
<span class="c1">#### Set this to your implemented sigmoid function ####</span>
<span class="c1"># Activation function is the sigmoid function</span>
<span class="bp">self</span><span class="o">.</span><span class="n">activation_function</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_sigmoid</span>
<span class="bp">self</span><span class="o">.</span><span class="n">hidden_gradient_function</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">_gradient_sigmoid</span>
<span class="bp">self</span><span class="o">.</span><span class="n">output_activation</span> <span class="o">=</span> <span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span>
<span class="k">def</span> <span class="nf">_sigmoid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
<span class="k">return</span> <span class="mi">1</span> <span class="o">/</span> <span class="p">(</span><span class="mi">1</span> <span class="o">+</span> <span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="n">x</span><span class="p">))</span>
<span class="k">def</span> <span class="nf">_gradient_sigmoid</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">output</span><span class="p">):</span>
<span class="k">return</span> <span class="n">output</span> <span class="o">*</span> <span class="p">(</span><span class="mi">1</span><span class="o">-</span><span class="n">output</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">train</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs_list</span><span class="p">,</span> <span class="n">targets_list</span><span class="p">):</span>
<span class="c1"># Convert inputs list to 2d array</span>
<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">inputs_list</span><span class="p">,</span> <span class="n">ndmin</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<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">targets_list</span><span class="p">,</span> <span class="n">ndmin</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<span class="c1">#### Implement the forward pass here ####</span>
<span class="c1">### Forward pass ###</span>
<span class="c1"># TODO: Hidden layer</span>
<span class="c1"># signal into hidden layer</span>
<span class="n">hidden_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</span><span class="p">,</span> <span class="n">inputs</span><span class="p">)</span> <span class="c1"># shape: hidden_n x n . nx1 -&gt; hidden_n x 1</span>
<span class="c1"># signals from hidden layer</span>
<span class="n">hidden_outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">activation_function</span><span class="p">(</span><span class="n">hidden_inputs</span><span class="p">)</span> <span class="c1"># shape: hidden_n x 1</span>
<span class="c1"># TODO: Output layer</span>
<span class="c1"># signals into final output layer</span>
<span class="n">final_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span><span class="p">,</span> <span class="n">hidden_outputs</span><span class="p">)</span> <span class="c1"># 1 x hidden_n . hidden_n x 1 -&gt; 1x1</span>
<span class="c1"># signals from final output layer - same, h(f(x)) = f(x)</span>
<span class="n">final_outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_activation</span><span class="p">(</span><span class="n">final_inputs</span><span class="p">)</span> <span class="c1"># shape 1x1</span>
<span class="c1">#### Implement the backward pass here ####</span>
<span class="c1">### Backward pass ###</span>
<span class="c1"># TODO: Output error</span>
<span class="c1"># Output layer error is the difference between desired target and actual output.</span>
<span class="n">output_errors</span> <span class="o">=</span> <span class="n">targets</span> <span class="o">-</span> <span class="n">final_outputs</span>
<span class="c1"># since the gradient of f(x) = x is 1, the error and output error are the same </span>
<span class="c1"># TODO: Backpropagated error</span>
<span class="c1"># errors propagated to the hidden layer</span>
<span class="n">hidden_errors</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span> <span class="o">*</span> <span class="n">output_errors</span> <span class="c1"># shape 1 x hidden_n</span>
<span class="c1"># hidden layer gradients</span>
<span class="c1"># Calculate using sigmoid gradient of the hidden output</span>
<span class="c1">#shape hidden_nx1 * hidden_nx1 -&gt; hidden_nx1 </span>
<span class="n">hidden_grad</span> <span class="o">=</span> <span class="n">hidden_errors</span><span class="o">.</span><span class="n">T</span> <span class="o">*</span> <span class="bp">self</span><span class="o">.</span><span class="n">hidden_gradient_function</span><span class="p">(</span><span class="n">hidden_outputs</span><span class="p">)</span>
<span class="c1"># TODO: Update the weights</span>
<span class="c1"># update hidden-to-output weights with gradient descent step</span>
<span class="c1"># shape hidden_n x 1 += 1x1 * </span>
<span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr</span> <span class="o">*</span> <span class="n">output_errors</span> <span class="o">*</span> <span class="n">hidden_outputs</span><span class="o">.</span><span class="n">T</span> <span class="c1">#shape hidden_nx1</span>
<span class="c1"># update input-to-hidden weights with gradient descent step</span>
<span class="c1"># shape hidden_n x input_n += 1x1 * inputs_nx1.T * hidden_nx1</span>
<span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</span> <span class="o">+=</span> <span class="bp">self</span><span class="o">.</span><span class="n">lr</span> <span class="o">*</span> <span class="n">inputs</span><span class="o">.</span><span class="n">T</span> <span class="o">*</span> <span class="n">hidden_grad</span>
<span class="k">def</span> <span class="nf">run</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">inputs_list</span><span class="p">):</span>
<span class="c1"># Run a forward pass through the network</span>
<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">inputs_list</span><span class="p">,</span> <span class="n">ndmin</span><span class="o">=</span><span class="mi">2</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<span class="c1">#### Implement the forward pass here ####</span>
<span class="c1"># TODO: Hidden layer</span>
<span class="n">hidden_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_input_to_hidden</span><span class="p">,</span> <span class="n">inputs</span><span class="p">)</span><span class="c1"># signals into hidden layer</span>
<span class="n">hidden_outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">activation_function</span><span class="p">(</span><span class="n">hidden_inputs</span><span class="p">)</span><span class="c1"># signals from hidden layer</span>
<span class="c1"># TODO: Output layer</span>
<span class="n">final_inputs</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">dot</span><span class="p">(</span><span class="bp">self</span><span class="o">.</span><span class="n">weights_hidden_to_output</span><span class="p">,</span> <span class="n">hidden_outputs</span><span class="p">)</span><span class="c1"># signals into final output layer</span>
<span class="n">final_outputs</span> <span class="o">=</span> <span class="bp">self</span><span class="o">.</span><span class="n">output_activation</span><span class="p">(</span><span class="n">final_inputs</span><span class="p">)</span><span class="c1"># signals from final output layer</span>
<span class="k">return</span> <span class="n">final_outputs</span>
</pre></div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[10]:</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">MSE</span><span class="p">(</span><span class="n">y</span><span class="p">,</span> <span class="n">Y</span><span class="p">):</span>
<span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">((</span><span class="n">y</span><span class="o">-</span><span class="n">Y</span><span class="p">)</span><span class="o">**</span><span class="mi">2</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="Training-the-network">Training the network<a class="anchor-link" href="#Training-the-network">&#182;</a></h2><p>Here you'll set the hyperparameters for the network. The strategy here is to find hyperparameters such that the error on the training set is low, but you're not overfitting to the data. If you train the network too long or have too many hidden nodes, it can become overly specific to the training set and will fail to generalize to the validation set. That is, the loss on the validation set will start increasing as the training set loss drops.</p>
<p>You'll also be using a method know as Stochastic Gradient Descent (SGD) to train the network. The idea is that for each training pass, you grab a random sample of the data instead of using the whole data set. You use many more training passes than with normal gradient descent, but each pass is much faster. This ends up training the network more efficiently. You'll learn more about SGD later.</p>
<h3 id="Choose-the-number-of-epochs">Choose the number of epochs<a class="anchor-link" href="#Choose-the-number-of-epochs">&#182;</a></h3><p>This is the number of times the dataset will pass through the network, each time updating the weights. As the number of epochs increases, the network becomes better and better at predicting the targets in the training set. You'll need to choose enough epochs to train the network well but not too many or you'll be overfitting.</p>
<h3 id="Choose-the-learning-rate">Choose the learning rate<a class="anchor-link" href="#Choose-the-learning-rate">&#182;</a></h3><p>This scales the size of weight updates. If this is too big, the weights tend to explode and the network fails to fit the data. A good choice to start at is 0.1. If the network has problems fitting the data, try reducing the learning rate. Note that the lower the learning rate, the smaller the steps are in the weight updates and the longer it takes for the neural network to converge.</p>
<h3 id="Choose-the-number-of-hidden-nodes">Choose the number of hidden nodes<a class="anchor-link" href="#Choose-the-number-of-hidden-nodes">&#182;</a></h3><p>The more hidden nodes you have, the more accurate predictions the model will make. Try a few different numbers and see how it affects the performance. You can look at the losses dictionary for a metric of the network performance. If the number of hidden units is too low, then the model won't have enough space to learn and if it is too high there are too many options for the direction that the learning can take. The trick here is to find the right balance in number of hidden units you choose.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[157]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">sys</span>
<span class="c1">### Set the hyperparameters here ###</span>
<span class="n">epochs</span> <span class="o">=</span> <span class="mi">500</span>
<span class="c1">#learning_rate = 0.03</span>
<span class="n">learning_rate</span> <span class="o">=</span> <span class="mf">0.1</span>
<span class="n">N_i</span> <span class="o">=</span> <span class="n">train_features</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="n">hidden_nodes</span> <span class="o">=</span> <span class="nb">int</span><span class="p">(</span><span class="n">N_i</span> <span class="o">/</span> <span class="mf">1.2</span><span class="p">)</span>
<span class="n">output_nodes</span> <span class="o">=</span> <span class="mi">1</span>
<span class="n">network</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="n">N_i</span><span class="p">,</span> <span class="n">hidden_nodes</span><span class="p">,</span> <span class="n">output_nodes</span><span class="p">,</span> <span class="n">learning_rate</span><span class="p">)</span>
<span class="n">losses</span> <span class="o">=</span> <span class="p">{</span><span class="s1">&#39;train&#39;</span><span class="p">:[],</span> <span class="s1">&#39;validation&#39;</span><span class="p">:[]}</span>
<span class="k">for</span> <span class="n">e</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">epochs</span><span class="p">):</span>
<span class="c1"># Go through a random batch of 128 records from the training data set</span>
<span class="n">batch</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">train_features</span><span class="o">.</span><span class="n">index</span><span class="p">,</span> <span class="n">size</span><span class="o">=</span><span class="mi">128</span><span class="p">)</span>
<span class="k">for</span> <span class="n">record</span><span class="p">,</span> <span class="n">target</span> <span class="ow">in</span> <span class="nb">zip</span><span class="p">(</span><span class="n">train_features</span><span class="o">.</span><span class="n">ix</span><span class="p">[</span><span class="n">batch</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">,</span>
<span class="n">train_targets</span><span class="o">.</span><span class="n">ix</span><span class="p">[</span><span class="n">batch</span><span class="p">][</span><span class="s1">&#39;cnt&#39;</span><span class="p">]):</span>
<span class="n">network</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">record</span><span class="p">,</span> <span class="n">target</span><span class="p">)</span>
<span class="c1"># Printing out the training progress</span>
<span class="n">train_loss</span> <span class="o">=</span> <span class="n">MSE</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">train_features</span><span class="p">),</span> <span class="n">train_targets</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
<span class="n">val_loss</span> <span class="o">=</span> <span class="n">MSE</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">val_features</span><span class="p">),</span> <span class="n">val_targets</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
<span class="n">sys</span><span class="o">.</span><span class="n">stdout</span><span class="o">.</span><span class="n">write</span><span class="p">(</span><span class="s2">&quot;</span><span class="se">\r</span><span class="s2">Progress: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="mi">100</span> <span class="o">*</span> <span class="n">e</span><span class="o">/</span><span class="nb">float</span><span class="p">(</span><span class="n">epochs</span><span class="p">))[:</span><span class="mi">4</span><span class="p">]</span> \
<span class="o">+</span> <span class="s2">&quot;% ... Training loss: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">train_loss</span><span class="p">)[:</span><span class="mi">5</span><span class="p">]</span> \
<span class="o">+</span> <span class="s2">&quot; ... Validation loss: &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">val_loss</span><span class="p">)[:</span><span class="mi">5</span><span class="p">])</span>
<span class="n">losses</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">train_loss</span><span class="p">)</span>
<span class="n">losses</span><span class="p">[</span><span class="s1">&#39;validation&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">val_loss</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>Progress: 99.8% ... Training loss: 0.060 ... Validation loss: 0.131</pre>
</div>
</div>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[158]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">losses</span><span class="p">[</span><span class="s1">&#39;train&#39;</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Training loss&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">losses</span><span class="p">[</span><span class="s1">&#39;validation&#39;</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Validation loss&#39;</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">plt</span><span class="o">.</span><span class="n">ylim</span><span class="p">(</span><span class="n">ymax</span><span class="o">=</span><span class="mf">0.8</span><span class="p">)</span>
</pre></div>
</div>
</div>
</div>
<div class="output_wrapper">
<div class="output">
<div class="output_area">
<div class="prompt output_prompt">Out[158]:</div>
<div class="output_text output_subarea output_execute_result">
<pre>(0.0, 0.8)</pre>
</div>
</div>
<div class="output_area">
<div class="prompt"></div>
<div class="output_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABBwAAALJCAYAAAAXuDCjAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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=
"
width=526
height=356
>
</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="Check-out-your-predictions">Check out your predictions<a class="anchor-link" href="#Check-out-your-predictions">&#182;</a></h2><p>Here, use the test data to view how well your network is modeling the data. If something is completely wrong here, make sure each step in your network is implemented correctly.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[159]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
<span class="n">mean</span><span class="p">,</span> <span class="n">std</span> <span class="o">=</span> <span class="n">scaled_features</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span>
<span class="n">predictions</span> <span class="o">=</span> <span class="n">network</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">test_features</span><span class="p">)</span><span class="o">*</span><span class="n">std</span> <span class="o">+</span> <span class="n">mean</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">predictions</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Prediction&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">plot</span><span class="p">((</span><span class="n">test_targets</span><span class="p">[</span><span class="s1">&#39;cnt&#39;</span><span class="p">]</span><span class="o">*</span><span class="n">std</span> <span class="o">+</span> <span class="n">mean</span><span class="p">)</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;Data&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="n">right</span><span class="o">=</span><span class="nb">len</span><span class="p">(</span><span class="n">predictions</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
<span class="n">dates</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">rides</span><span class="o">.</span><span class="n">ix</span><span class="p">[</span><span class="n">test_data</span><span class="o">.</span><span class="n">index</span><span class="p">][</span><span class="s1">&#39;dteday&#39;</span><span class="p">])</span>
<span class="n">dates</span> <span class="o">=</span> <span class="n">dates</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">d</span><span class="p">:</span> <span class="n">d</span><span class="o">.</span><span class="n">strftime</span><span class="p">(</span><span class="s1">&#39;%b </span><span class="si">%d</span><span class="s1">&#39;</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">dates</span><span class="p">))[</span><span class="mi">12</span><span class="p">::</span><span class="mi">24</span><span class="p">])</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">dates</span><span class="p">[</span><span class="mi">12</span><span class="p">::</span><span class="mi">24</span><span class="p">],</span> <span class="n">rotation</span><span class="o">=</span><span class="mi">45</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_png output_subarea ">
<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAABYQAAAMGCAYAAABCg4CrAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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"
width=706
height=387
>
</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="Thinking-about-your-results">Thinking about your results<a class="anchor-link" href="#Thinking-about-your-results">&#182;</a></h2><p>Answer these questions about your results. How well does the model predict the data? Where does it fail? Why does it fail where it does?</p>
<blockquote><p><strong>Note:</strong> You can edit the text in this cell by double clicking on it. When you want to render the text, press control + enter</p>
</blockquote>
<h4 id="Your-answer-below">Your answer below<a class="anchor-link" href="#Your-answer-below">&#182;</a></h4><ul>
<li><p>The model predicts the data good enough.</p>
</li>
<li><p>The model fails for the period of christmas holidays.</p>
</li>
<li><p><strong>Reason:</strong> We can expect users to change behavior around christmas time (family visit, holidays ..). We also have much less data for christmas holidays which occures only once a year then the rest of the year. So the model is over fitted for normal days vs christmas holidays. We would need data over several years to fit the model for these seasonal changes.</p>
</li>
</ul>
</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="Unit-tests">Unit tests<a class="anchor-link" href="#Unit-tests">&#182;</a></h2><p>Run these unit tests to check the correctness of your network implementation. These tests must all be successful to pass the project.</p>
</div>
</div>
</div>
<div class="cell border-box-sizing code_cell rendered">
<div class="input">
<div class="prompt input_prompt">In&nbsp;[160]:</div>
<div class="inner_cell">
<div class="input_area">
<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">unittest</span>
<span class="n">inputs</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.5</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.1</span><span class="p">]</span>
<span class="n">targets</span> <span class="o">=</span> <span class="p">[</span><span class="mf">0.4</span><span class="p">]</span>
<span class="n">test_w_i_h</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">0.1</span><span class="p">,</span> <span class="mf">0.4</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.3</span><span class="p">],</span>
<span class="p">[</span><span class="o">-</span><span class="mf">0.2</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="mf">0.2</span><span class="p">]])</span>
<span class="n">test_w_h_o</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">([[</span><span class="mf">0.3</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.1</span><span class="p">]])</span>
<span class="k">class</span> <span class="nc">TestMethods</span><span class="p">(</span><span class="n">unittest</span><span class="o">.</span><span class="n">TestCase</span><span class="p">):</span>
<span class="c1">##########</span>
<span class="c1"># Unit tests for data loading</span>
<span class="c1">##########</span>
<span class="k">def</span> <span class="nf">test_data_path</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># Test that file path to dataset has been unaltered</span>
<span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">data_path</span><span class="o">.</span><span class="n">lower</span><span class="p">()</span> <span class="o">==</span> <span class="s1">&#39;bike-sharing-dataset/hour.csv&#39;</span><span class="p">)</span>
<span class="k">def</span> <span class="nf">test_data_loaded</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># Test that data frame loaded</span>
<span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="nb">isinstance</span><span class="p">(</span><span class="n">rides</span><span class="p">,</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">))</span>
<span class="c1">##########</span>
<span class="c1"># Unit tests for network functionality</span>
<span class="c1">##########</span>
<span class="k">def</span> <span class="nf">test_activation</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="n">network</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
<span class="c1"># Test that the activation function is a sigmoid</span>
<span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">all</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">activation_function</span><span class="p">(</span><span class="mf">0.5</span><span class="p">)</span> <span class="o">==</span> <span class="mi">1</span><span class="o">/</span><span class="p">(</span><span class="mi">1</span><span class="o">+</span><span class="n">np</span><span class="o">.</span><span class="n">exp</span><span class="p">(</span><span class="o">-</span><span class="mf">0.5</span><span class="p">))))</span>
<span class="k">def</span> <span class="nf">test_train</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># Test that weights are updated correctly on training</span>
<span class="n">network</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
<span class="n">network</span><span class="o">.</span><span class="n">weights_input_to_hidden</span> <span class="o">=</span> <span class="n">test_w_i_h</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">network</span><span class="o">.</span><span class="n">weights_hidden_to_output</span> <span class="o">=</span> <span class="n">test_w_h_o</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">network</span><span class="o">.</span><span class="n">train</span><span class="p">(</span><span class="n">inputs</span><span class="p">,</span> <span class="n">targets</span><span class="p">)</span>
<span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">weights_hidden_to_output</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="mf">0.37275328</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.03172939</span><span class="p">]])))</span>
<span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">weights_input_to_hidden</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="mf">0.10562014</span><span class="p">,</span> <span class="mf">0.39775194</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.29887597</span><span class="p">],</span>
<span class="p">[</span><span class="o">-</span><span class="mf">0.20185996</span><span class="p">,</span> <span class="mf">0.50074398</span><span class="p">,</span> <span class="mf">0.19962801</span><span class="p">]])))</span>
<span class="k">def</span> <span class="nf">test_run</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="c1"># Test correctness of run method</span>
<span class="n">network</span> <span class="o">=</span> <span class="n">NeuralNetwork</span><span class="p">(</span><span class="mi">3</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">)</span>
<span class="n">network</span><span class="o">.</span><span class="n">weights_input_to_hidden</span> <span class="o">=</span> <span class="n">test_w_i_h</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">network</span><span class="o">.</span><span class="n">weights_hidden_to_output</span> <span class="o">=</span> <span class="n">test_w_h_o</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="bp">self</span><span class="o">.</span><span class="n">assertTrue</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">allclose</span><span class="p">(</span><span class="n">network</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">inputs</span><span class="p">),</span> <span class="mf">0.09998924</span><span class="p">))</span>
<span class="n">suite</span> <span class="o">=</span> <span class="n">unittest</span><span class="o">.</span><span class="n">TestLoader</span><span class="p">()</span><span class="o">.</span><span class="n">loadTestsFromModule</span><span class="p">(</span><span class="n">TestMethods</span><span class="p">())</span>
<span class="n">unittest</span><span class="o">.</span><span class="n">TextTestRunner</span><span class="p">()</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">suite</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_stderr output_text">
<pre>.....
----------------------------------------------------------------------
Ran 5 tests in 0.004s
OK
</pre>
</div>
</div>
<div class="output_area">
<div class="prompt output_prompt">Out[160]:</div>
<div class="output_text output_subarea output_execute_result">
<pre>&lt;unittest.runner.TextTestResult run=5 errors=0 failures=0&gt;</pre>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>