<!DOCTYPE html> <html> <head><meta charset="utf-8" /> <title>TimeSeriesPaper_main_processing_NL</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; } /*! 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} .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"; 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} .text-success { color: #3c763d; } a.text-success:hover, a.text-success:focus { color: #2b542c; } .text-info { color: #31708f; } a.text-info:hover, a.text-info:focus { color: #245269; } .text-warning { color: #8a6d3b; } a.text-warning:hover, a.text-warning:focus { color: #66512c; } .text-danger { color: #a94442; } a.text-danger:hover, a.text-danger:focus { color: #843534; } .bg-primary { color: #fff; background-color: #337ab7; } a.bg-primary:hover, a.bg-primary:focus { background-color: #286090; } .bg-success { background-color: #dff0d8; } a.bg-success:hover, a.bg-success:focus { background-color: #c1e2b3; } .bg-info { background-color: #d9edf7; } a.bg-info:hover, a.bg-info:focus { background-color: #afd9ee; } .bg-warning { background-color: #fcf8e3; } a.bg-warning:hover, a.bg-warning:focus { background-color: #f7ecb5; } .bg-danger { background-color: #f2dede; } a.bg-danger:hover, a.bg-danger:focus { background-color: #e4b9b9; } .page-header { padding-bottom: 8px; margin: 36px 0 18px; border-bottom: 1px solid #eeeeee; } ul, ol { margin-top: 0; margin-bottom: 9px; } ul ul, ol ul, ul ol, ol ol { margin-bottom: 0; } .list-unstyled { padding-left: 0; list-style: none; } .list-inline { padding-left: 0; list-style: none; margin-left: -5px; } .list-inline > li { display: inline-block; padding-left: 5px; padding-right: 5px; } dl { margin-top: 0; margin-bottom: 18px; } dt, dd { line-height: 1.42857143; } dt { font-weight: bold; } dd { margin-left: 0; } @media (min-width: 541px) { .dl-horizontal dt { float: left; width: 160px; clear: left; text-align: right; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; } .dl-horizontal dd { margin-left: 180px; } } abbr[title], abbr[data-original-title] { cursor: help; border-bottom: 1px dotted #777777; } .initialism { font-size: 90%; text-transform: uppercase; } blockquote { padding: 9px 18px; margin: 0 0 18px; font-size: inherit; border-left: 5px solid #eeeeee; } blockquote p:last-child, blockquote ul:last-child, blockquote ol:last-child { margin-bottom: 0; } blockquote footer, blockquote small, blockquote .small { display: block; font-size: 80%; line-height: 1.42857143; color: #777777; } blockquote footer:before, blockquote small:before, blockquote .small:before { content: '\2014 \00A0'; } .blockquote-reverse, blockquote.pull-right { padding-right: 15px; padding-left: 0; border-right: 5px solid #eeeeee; border-left: 0; text-align: right; } .blockquote-reverse footer:before, blockquote.pull-right footer:before, .blockquote-reverse small:before, blockquote.pull-right small:before, .blockquote-reverse .small:before, blockquote.pull-right .small:before { content: ''; } .blockquote-reverse footer:after, blockquote.pull-right footer:after, .blockquote-reverse small:after, blockquote.pull-right small:after, .blockquote-reverse .small:after, blockquote.pull-right .small:after { content: '\00A0 \2014'; } address { margin-bottom: 18px; font-style: normal; line-height: 1.42857143; } code, kbd, pre, samp { font-family: monospace; } code { padding: 2px 4px; font-size: 90%; color: #c7254e; background-color: #f9f2f4; border-radius: 2px; } kbd { padding: 2px 4px; font-size: 90%; color: #888; background-color: transparent; border-radius: 1px; box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25); } kbd kbd { padding: 0; font-size: 100%; font-weight: bold; box-shadow: none; } pre { display: block; padding: 8.5px; margin: 0 0 9px; font-size: 12px; line-height: 1.42857143; word-break: break-all; word-wrap: break-word; color: #333333; background-color: #f5f5f5; border: 1px solid #ccc; border-radius: 2px; } pre code { padding: 0; font-size: inherit; color: inherit; white-space: pre-wrap; background-color: transparent; border-radius: 0; } .pre-scrollable { max-height: 340px; overflow-y: scroll; } .container { margin-right: auto; margin-left: auto; padding-left: 0px; padding-right: 0px; } @media (min-width: 768px) { .container { width: 768px; } } @media (min-width: 992px) { .container { width: 940px; } } @media (min-width: 1200px) { .container { width: 1140px; } } .container-fluid { margin-right: auto; margin-left: auto; padding-left: 0px; padding-right: 0px; } .row { margin-left: 0px; margin-right: 0px; } .col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 { position: relative; min-height: 1px; padding-left: 0px; padding-right: 0px; } .col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 { float: left; } .col-xs-12 { width: 100%; } .col-xs-11 { width: 91.66666667%; } .col-xs-10 { width: 83.33333333%; } .col-xs-9 { width: 75%; } .col-xs-8 { width: 66.66666667%; } .col-xs-7 { width: 58.33333333%; } .col-xs-6 { width: 50%; } .col-xs-5 { width: 41.66666667%; } .col-xs-4 { width: 33.33333333%; } .col-xs-3 { width: 25%; } .col-xs-2 { width: 16.66666667%; } .col-xs-1 { width: 8.33333333%; } .col-xs-pull-12 { right: 100%; } .col-xs-pull-11 { right: 91.66666667%; } .col-xs-pull-10 { right: 83.33333333%; } .col-xs-pull-9 { right: 75%; } .col-xs-pull-8 { right: 66.66666667%; } .col-xs-pull-7 { right: 58.33333333%; } .col-xs-pull-6 { right: 50%; } .col-xs-pull-5 { right: 41.66666667%; } .col-xs-pull-4 { right: 33.33333333%; } .col-xs-pull-3 { right: 25%; } .col-xs-pull-2 { right: 16.66666667%; } .col-xs-pull-1 { right: 8.33333333%; } .col-xs-pull-0 { right: auto; } .col-xs-push-12 { left: 100%; } .col-xs-push-11 { left: 91.66666667%; } .col-xs-push-10 { left: 83.33333333%; } .col-xs-push-9 { left: 75%; } .col-xs-push-8 { left: 66.66666667%; } .col-xs-push-7 { left: 58.33333333%; } .col-xs-push-6 { left: 50%; } .col-xs-push-5 { left: 41.66666667%; } .col-xs-push-4 { left: 33.33333333%; } .col-xs-push-3 { left: 25%; } .col-xs-push-2 { left: 16.66666667%; } .col-xs-push-1 { left: 8.33333333%; } .col-xs-push-0 { left: auto; } .col-xs-offset-12 { margin-left: 100%; } .col-xs-offset-11 { margin-left: 91.66666667%; } .col-xs-offset-10 { margin-left: 83.33333333%; } .col-xs-offset-9 { margin-left: 75%; } .col-xs-offset-8 { margin-left: 66.66666667%; } .col-xs-offset-7 { margin-left: 58.33333333%; } .col-xs-offset-6 { margin-left: 50%; } .col-xs-offset-5 { margin-left: 41.66666667%; } .col-xs-offset-4 { margin-left: 33.33333333%; } .col-xs-offset-3 { margin-left: 25%; } .col-xs-offset-2 { margin-left: 16.66666667%; } .col-xs-offset-1 { margin-left: 8.33333333%; } .col-xs-offset-0 { margin-left: 0%; } @media (min-width: 768px) { .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 { float: left; } .col-sm-12 { width: 100%; } .col-sm-11 { width: 91.66666667%; } .col-sm-10 { width: 83.33333333%; } .col-sm-9 { width: 75%; } .col-sm-8 { width: 66.66666667%; } .col-sm-7 { width: 58.33333333%; } .col-sm-6 { width: 50%; } .col-sm-5 { width: 41.66666667%; } .col-sm-4 { width: 33.33333333%; } .col-sm-3 { width: 25%; } .col-sm-2 { width: 16.66666667%; } .col-sm-1 { width: 8.33333333%; } .col-sm-pull-12 { right: 100%; } .col-sm-pull-11 { right: 91.66666667%; } .col-sm-pull-10 { right: 83.33333333%; } .col-sm-pull-9 { right: 75%; } .col-sm-pull-8 { right: 66.66666667%; } .col-sm-pull-7 { right: 58.33333333%; } .col-sm-pull-6 { right: 50%; } .col-sm-pull-5 { right: 41.66666667%; } .col-sm-pull-4 { right: 33.33333333%; } .col-sm-pull-3 { right: 25%; } .col-sm-pull-2 { right: 16.66666667%; } .col-sm-pull-1 { right: 8.33333333%; } .col-sm-pull-0 { right: auto; } .col-sm-push-12 { left: 100%; } .col-sm-push-11 { left: 91.66666667%; } .col-sm-push-10 { left: 83.33333333%; } .col-sm-push-9 { left: 75%; } .col-sm-push-8 { left: 66.66666667%; } .col-sm-push-7 { left: 58.33333333%; } .col-sm-push-6 { left: 50%; } .col-sm-push-5 { left: 41.66666667%; } .col-sm-push-4 { left: 33.33333333%; } .col-sm-push-3 { left: 25%; } .col-sm-push-2 { left: 16.66666667%; } .col-sm-push-1 { left: 8.33333333%; } .col-sm-push-0 { left: auto; } .col-sm-offset-12 { margin-left: 100%; } .col-sm-offset-11 { margin-left: 91.66666667%; } .col-sm-offset-10 { margin-left: 83.33333333%; } .col-sm-offset-9 { margin-left: 75%; } .col-sm-offset-8 { margin-left: 66.66666667%; } .col-sm-offset-7 { margin-left: 58.33333333%; } .col-sm-offset-6 { margin-left: 50%; } .col-sm-offset-5 { margin-left: 41.66666667%; } .col-sm-offset-4 { margin-left: 33.33333333%; } .col-sm-offset-3 { margin-left: 25%; } .col-sm-offset-2 { margin-left: 16.66666667%; } .col-sm-offset-1 { margin-left: 8.33333333%; } .col-sm-offset-0 { margin-left: 0%; } } @media (min-width: 992px) { .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 { float: left; } .col-md-12 { width: 100%; } .col-md-11 { width: 91.66666667%; } .col-md-10 { width: 83.33333333%; } .col-md-9 { width: 75%; } .col-md-8 { width: 66.66666667%; } .col-md-7 { width: 58.33333333%; } .col-md-6 { width: 50%; } .col-md-5 { width: 41.66666667%; } .col-md-4 { width: 33.33333333%; } .col-md-3 { width: 25%; } .col-md-2 { width: 16.66666667%; } .col-md-1 { width: 8.33333333%; } .col-md-pull-12 { right: 100%; } .col-md-pull-11 { right: 91.66666667%; } .col-md-pull-10 { right: 83.33333333%; } .col-md-pull-9 { right: 75%; } .col-md-pull-8 { right: 66.66666667%; } .col-md-pull-7 { right: 58.33333333%; } .col-md-pull-6 { right: 50%; } .col-md-pull-5 { right: 41.66666667%; } .col-md-pull-4 { right: 33.33333333%; } .col-md-pull-3 { right: 25%; } .col-md-pull-2 { right: 16.66666667%; } .col-md-pull-1 { right: 8.33333333%; } .col-md-pull-0 { right: auto; } .col-md-push-12 { left: 100%; } .col-md-push-11 { left: 91.66666667%; } .col-md-push-10 { left: 83.33333333%; } .col-md-push-9 { left: 75%; } .col-md-push-8 { left: 66.66666667%; } .col-md-push-7 { left: 58.33333333%; } .col-md-push-6 { left: 50%; } .col-md-push-5 { left: 41.66666667%; } .col-md-push-4 { left: 33.33333333%; } .col-md-push-3 { left: 25%; } .col-md-push-2 { left: 16.66666667%; } .col-md-push-1 { left: 8.33333333%; } .col-md-push-0 { left: auto; } .col-md-offset-12 { margin-left: 100%; } .col-md-offset-11 { margin-left: 91.66666667%; } .col-md-offset-10 { margin-left: 83.33333333%; } .col-md-offset-9 { margin-left: 75%; } .col-md-offset-8 { margin-left: 66.66666667%; } .col-md-offset-7 { margin-left: 58.33333333%; } .col-md-offset-6 { margin-left: 50%; } .col-md-offset-5 { margin-left: 41.66666667%; } .col-md-offset-4 { margin-left: 33.33333333%; } .col-md-offset-3 { margin-left: 25%; } .col-md-offset-2 { margin-left: 16.66666667%; } .col-md-offset-1 { margin-left: 8.33333333%; } .col-md-offset-0 { margin-left: 0%; } } @media (min-width: 1200px) { .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 { float: left; } .col-lg-12 { width: 100%; } .col-lg-11 { width: 91.66666667%; } .col-lg-10 { width: 83.33333333%; } .col-lg-9 { width: 75%; } .col-lg-8 { width: 66.66666667%; } .col-lg-7 { width: 58.33333333%; } .col-lg-6 { width: 50%; } .col-lg-5 { width: 41.66666667%; } .col-lg-4 { width: 33.33333333%; } .col-lg-3 { width: 25%; } .col-lg-2 { width: 16.66666667%; } .col-lg-1 { width: 8.33333333%; } .col-lg-pull-12 { right: 100%; } .col-lg-pull-11 { right: 91.66666667%; } .col-lg-pull-10 { right: 83.33333333%; } .col-lg-pull-9 { right: 75%; } .col-lg-pull-8 { right: 66.66666667%; } .col-lg-pull-7 { right: 58.33333333%; } .col-lg-pull-6 { right: 50%; } .col-lg-pull-5 { right: 41.66666667%; } .col-lg-pull-4 { right: 33.33333333%; } .col-lg-pull-3 { right: 25%; } .col-lg-pull-2 { right: 16.66666667%; } .col-lg-pull-1 { right: 8.33333333%; } .col-lg-pull-0 { right: auto; } .col-lg-push-12 { left: 100%; } .col-lg-push-11 { left: 91.66666667%; } .col-lg-push-10 { left: 83.33333333%; } .col-lg-push-9 { left: 75%; } .col-lg-push-8 { left: 66.66666667%; } .col-lg-push-7 { left: 58.33333333%; } .col-lg-push-6 { left: 50%; } .col-lg-push-5 { left: 41.66666667%; } .col-lg-push-4 { left: 33.33333333%; } .col-lg-push-3 { left: 25%; } .col-lg-push-2 { left: 16.66666667%; } .col-lg-push-1 { left: 8.33333333%; } .col-lg-push-0 { left: auto; } .col-lg-offset-12 { margin-left: 100%; } .col-lg-offset-11 { margin-left: 91.66666667%; } .col-lg-offset-10 { margin-left: 83.33333333%; } .col-lg-offset-9 { margin-left: 75%; } .col-lg-offset-8 { margin-left: 66.66666667%; } .col-lg-offset-7 { margin-left: 58.33333333%; } .col-lg-offset-6 { margin-left: 50%; } .col-lg-offset-5 { margin-left: 41.66666667%; } .col-lg-offset-4 { margin-left: 33.33333333%; } .col-lg-offset-3 { margin-left: 25%; } .col-lg-offset-2 { margin-left: 16.66666667%; } .col-lg-offset-1 { margin-left: 8.33333333%; } .col-lg-offset-0 { margin-left: 0%; } } table { background-color: transparent; } caption { padding-top: 8px; padding-bottom: 8px; color: #777777; text-align: left; } th { text-align: left; } .table { width: 100%; max-width: 100%; margin-bottom: 18px; } .table > thead > tr > th, .table > tbody > tr > th, .table > tfoot > tr > th, .table > thead > tr > td, .table > tbody > tr > td, .table > tfoot > tr > td { padding: 8px; line-height: 1.42857143; vertical-align: top; border-top: 1px solid #ddd; } .table > thead > tr > th { vertical-align: bottom; border-bottom: 2px solid #ddd; } .table > caption + thead > tr:first-child > th, .table > colgroup + thead > tr:first-child > th, .table > thead:first-child > tr:first-child > th, .table > caption + thead > tr:first-child > td, .table > colgroup + thead > tr:first-child > td, .table > thead:first-child > tr:first-child > td { border-top: 0; } .table > tbody + tbody { border-top: 2px solid #ddd; } .table .table { background-color: #fff; } .table-condensed > thead > tr > th, .table-condensed > tbody > tr > th, .table-condensed > tfoot > tr > th, .table-condensed > thead > tr > td, .table-condensed > tbody > tr > td, .table-condensed > tfoot > tr > td { padding: 5px; } .table-bordered { border: 1px solid #ddd; } .table-bordered > thead > tr > th, .table-bordered > tbody > tr > th, .table-bordered > tfoot > tr > th, .table-bordered > thead > tr > td, .table-bordered > tbody > tr > td, .table-bordered > tfoot > tr > td { border: 1px solid #ddd; } .table-bordered > thead > tr > th, .table-bordered > thead > tr > td { border-bottom-width: 2px; } .table-striped > tbody > tr:nth-of-type(odd) { background-color: #f9f9f9; } .table-hover > tbody > tr:hover { background-color: #f5f5f5; } table col[class*="col-"] { position: static; float: none; display: table-column; } table td[class*="col-"], table th[class*="col-"] { position: static; float: none; display: table-cell; } .table > thead > tr > td.active, .table > tbody > tr > td.active, .table > tfoot > tr > td.active, .table > thead > tr > th.active, .table > tbody > tr > th.active, .table > tfoot > tr > th.active, .table > thead > tr.active > td, .table > tbody > tr.active > td, .table > tfoot > tr.active > td, .table > thead > tr.active > th, .table > tbody > tr.active > th, .table > tfoot > tr.active > th { background-color: #f5f5f5; } .table-hover > tbody > tr > td.active:hover, .table-hover > tbody > tr > th.active:hover, .table-hover > tbody > tr.active:hover > td, .table-hover > tbody > tr:hover > .active, .table-hover > tbody > tr.active:hover > th { background-color: #e8e8e8; } .table > thead > tr > td.success, .table > tbody > tr > td.success, .table > tfoot > tr > td.success, .table > thead > tr > th.success, .table > tbody > tr > th.success, .table > tfoot > tr > th.success, .table > thead > tr.success > td, .table > tbody > tr.success > td, .table > tfoot > tr.success > td, .table > thead > tr.success > th, .table > tbody > tr.success > th, .table > tfoot > tr.success > th { background-color: #dff0d8; } .table-hover > tbody > tr > td.success:hover, .table-hover > tbody > tr > th.success:hover, .table-hover > tbody > tr.success:hover > td, .table-hover > tbody > tr:hover > .success, .table-hover > tbody > tr.success:hover > th { background-color: #d0e9c6; } .table > thead > tr > td.info, .table > tbody > tr > td.info, .table > tfoot > tr > td.info, .table > thead > tr > th.info, .table > tbody > tr > th.info, .table > tfoot > tr > th.info, .table > thead > tr.info > td, .table > tbody > tr.info > td, .table > tfoot > tr.info > td, .table > thead > tr.info > th, .table > tbody > tr.info > th, .table > tfoot > tr.info > th { background-color: #d9edf7; } .table-hover > tbody > tr > td.info:hover, .table-hover > tbody > tr > th.info:hover, .table-hover > tbody > tr.info:hover > td, .table-hover > tbody > tr:hover > .info, .table-hover > tbody > tr.info:hover > th { background-color: #c4e3f3; } .table > thead > tr > td.warning, .table > tbody > tr > td.warning, .table > tfoot > tr > td.warning, .table > thead > tr > th.warning, .table > tbody > tr > th.warning, .table > tfoot > tr > th.warning, .table > thead > tr.warning > td, .table > tbody > tr.warning > td, .table > tfoot > tr.warning > td, .table > thead > tr.warning > th, .table > tbody > tr.warning > th, .table > tfoot > tr.warning > th { background-color: #fcf8e3; } .table-hover > tbody > tr > td.warning:hover, .table-hover > tbody > tr > th.warning:hover, .table-hover > tbody > tr.warning:hover > td, .table-hover > tbody > tr:hover > .warning, .table-hover > tbody > tr.warning:hover > th { background-color: #faf2cc; } .table > thead > tr > td.danger, .table > tbody > tr > td.danger, .table > tfoot > tr > td.danger, .table > thead > tr > th.danger, .table > tbody > tr > th.danger, .table > tfoot > tr > th.danger, .table > thead > tr.danger > td, .table > tbody > tr.danger > td, .table > tfoot > tr.danger > td, .table > thead > tr.danger > th, .table > tbody > tr.danger > th, .table > tfoot > tr.danger > th { background-color: #f2dede; } .table-hover > tbody > tr > td.danger:hover, .table-hover > tbody > tr > th.danger:hover, .table-hover > tbody > tr.danger:hover > td, .table-hover > tbody > tr:hover > .danger, .table-hover > tbody > tr.danger:hover > th { background-color: #ebcccc; } .table-responsive { overflow-x: auto; min-height: 0.01%; } @media screen and (max-width: 767px) { .table-responsive { width: 100%; margin-bottom: 13.5px; overflow-y: hidden; -ms-overflow-style: -ms-autohiding-scrollbar; border: 1px solid #ddd; } .table-responsive > .table { margin-bottom: 0; } .table-responsive > .table > thead > tr > th, .table-responsive > .table > tbody > tr > th, .table-responsive > .table > tfoot > tr > th, .table-responsive > .table > thead > tr > td, .table-responsive > .table > tbody > tr > td, .table-responsive > .table > tfoot > tr > td { white-space: nowrap; } .table-responsive > .table-bordered { border: 0; } .table-responsive > .table-bordered > thead > tr > th:first-child, .table-responsive > .table-bordered > tbody > tr > th:first-child, .table-responsive > .table-bordered > tfoot > tr > th:first-child, .table-responsive > .table-bordered > thead > tr > td:first-child, .table-responsive > .table-bordered > tbody > tr > td:first-child, .table-responsive > .table-bordered > tfoot > tr > td:first-child { border-left: 0; } .table-responsive > .table-bordered > thead > tr > th:last-child, .table-responsive > .table-bordered > tbody > tr > th:last-child, .table-responsive > .table-bordered > tfoot > tr > th:last-child, .table-responsive > .table-bordered > thead > tr > td:last-child, .table-responsive > .table-bordered > tbody > tr > td:last-child, .table-responsive > .table-bordered > tfoot > tr > td:last-child { border-right: 0; } .table-responsive > .table-bordered > tbody > tr:last-child > th, .table-responsive > .table-bordered > tfoot > tr:last-child > th, .table-responsive > .table-bordered > tbody > tr:last-child > td, .table-responsive > .table-bordered > tfoot > tr:last-child > td { border-bottom: 0; } } fieldset { padding: 0; margin: 0; border: 0; min-width: 0; } legend { display: block; width: 100%; padding: 0; margin-bottom: 18px; font-size: 19.5px; line-height: inherit; color: #333333; border: 0; border-bottom: 1px solid #e5e5e5; } label { display: inline-block; max-width: 100%; margin-bottom: 5px; font-weight: bold; } input[type="search"] { -webkit-box-sizing: border-box; -moz-box-sizing: border-box; box-sizing: border-box; } input[type="radio"], input[type="checkbox"] { margin: 4px 0 0; margin-top: 1px \9; line-height: normal; } input[type="file"] { display: block; } input[type="range"] { display: block; width: 100%; } select[multiple], select[size] { height: auto; } input[type="file"]:focus, input[type="radio"]:focus, input[type="checkbox"]:focus { outline: 5px auto -webkit-focus-ring-color; outline-offset: -2px; } output { display: block; padding-top: 7px; font-size: 13px; line-height: 1.42857143; color: #555555; } .form-control { display: block; width: 100%; height: 32px; padding: 6px 12px; font-size: 13px; line-height: 1.42857143; color: #555555; background-color: #fff; background-image: none; border: 1px solid #ccc; border-radius: 2px; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; } .form-control:focus { border-color: #66afe9; outline: 0; -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6); box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6); } .form-control::-moz-placeholder { color: #999; opacity: 1; } .form-control:-ms-input-placeholder { color: #999; } .form-control::-webkit-input-placeholder { color: #999; } .form-control::-ms-expand { border: 0; background-color: transparent; } .form-control[disabled], .form-control[readonly], fieldset[disabled] .form-control { background-color: #eeeeee; opacity: 1; } .form-control[disabled], fieldset[disabled] .form-control { cursor: not-allowed; } textarea.form-control { height: auto; } input[type="search"] { -webkit-appearance: none; } @media screen and (-webkit-min-device-pixel-ratio: 0) { input[type="date"].form-control, input[type="time"].form-control, input[type="datetime-local"].form-control, input[type="month"].form-control { line-height: 32px; } input[type="date"].input-sm, input[type="time"].input-sm, input[type="datetime-local"].input-sm, input[type="month"].input-sm, .input-group-sm input[type="date"], .input-group-sm input[type="time"], .input-group-sm input[type="datetime-local"], .input-group-sm input[type="month"] { line-height: 30px; } input[type="date"].input-lg, input[type="time"].input-lg, input[type="datetime-local"].input-lg, input[type="month"].input-lg, .input-group-lg input[type="date"], .input-group-lg input[type="time"], .input-group-lg input[type="datetime-local"], .input-group-lg input[type="month"] { line-height: 45px; } } .form-group { margin-bottom: 15px; } .radio, .checkbox { position: relative; display: block; margin-top: 10px; margin-bottom: 10px; } .radio label, .checkbox label { min-height: 18px; padding-left: 20px; margin-bottom: 0; font-weight: normal; cursor: pointer; } .radio input[type="radio"], .radio-inline input[type="radio"], .checkbox input[type="checkbox"], .checkbox-inline input[type="checkbox"] { position: absolute; margin-left: -20px; margin-top: 4px \9; } .radio + .radio, .checkbox + .checkbox { margin-top: -5px; } .radio-inline, .checkbox-inline { position: relative; display: inline-block; padding-left: 20px; margin-bottom: 0; vertical-align: middle; font-weight: normal; cursor: pointer; } .radio-inline + .radio-inline, .checkbox-inline + .checkbox-inline { margin-top: 0; margin-left: 10px; } input[type="radio"][disabled], input[type="checkbox"][disabled], input[type="radio"].disabled, input[type="checkbox"].disabled, fieldset[disabled] input[type="radio"], fieldset[disabled] input[type="checkbox"] { cursor: not-allowed; } .radio-inline.disabled, .checkbox-inline.disabled, fieldset[disabled] .radio-inline, fieldset[disabled] .checkbox-inline { cursor: not-allowed; } .radio.disabled label, .checkbox.disabled label, fieldset[disabled] .radio label, fieldset[disabled] .checkbox label { cursor: not-allowed; } .form-control-static { padding-top: 7px; padding-bottom: 7px; margin-bottom: 0; min-height: 31px; } .form-control-static.input-lg, .form-control-static.input-sm { padding-left: 0; padding-right: 0; } .input-sm { height: 30px; padding: 5px 10px; font-size: 12px; line-height: 1.5; border-radius: 1px; } select.input-sm { height: 30px; line-height: 30px; } textarea.input-sm, select[multiple].input-sm { height: auto; } .form-group-sm .form-control { height: 30px; padding: 5px 10px; font-size: 12px; line-height: 1.5; border-radius: 1px; } .form-group-sm select.form-control { height: 30px; line-height: 30px; } .form-group-sm textarea.form-control, .form-group-sm select[multiple].form-control { height: auto; } .form-group-sm .form-control-static { height: 30px; min-height: 30px; padding: 6px 10px; font-size: 12px; line-height: 1.5; } .input-lg { height: 45px; padding: 10px 16px; font-size: 17px; line-height: 1.3333333; border-radius: 3px; } select.input-lg { height: 45px; line-height: 45px; } textarea.input-lg, select[multiple].input-lg { height: auto; } .form-group-lg .form-control { height: 45px; padding: 10px 16px; font-size: 17px; line-height: 1.3333333; border-radius: 3px; } .form-group-lg select.form-control { height: 45px; line-height: 45px; } .form-group-lg textarea.form-control, .form-group-lg select[multiple].form-control { height: auto; } .form-group-lg .form-control-static { height: 45px; min-height: 35px; padding: 11px 16px; font-size: 17px; line-height: 1.3333333; } .has-feedback { position: relative; } .has-feedback .form-control { padding-right: 40px; } .form-control-feedback { position: absolute; top: 0; right: 0; z-index: 2; display: block; width: 32px; height: 32px; line-height: 32px; text-align: center; pointer-events: none; } .input-lg + .form-control-feedback, .input-group-lg + .form-control-feedback, .form-group-lg .form-control + .form-control-feedback { width: 45px; height: 45px; line-height: 45px; } .input-sm + .form-control-feedback, .input-group-sm + .form-control-feedback, .form-group-sm .form-control + .form-control-feedback { width: 30px; height: 30px; line-height: 30px; } .has-success .help-block, .has-success .control-label, .has-success .radio, .has-success .checkbox, .has-success .radio-inline, .has-success .checkbox-inline, .has-success.radio label, .has-success.checkbox label, .has-success.radio-inline label, .has-success.checkbox-inline label { color: #3c763d; } .has-success .form-control { border-color: #3c763d; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); } .has-success .form-control:focus { border-color: #2b542c; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168; box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168; } .has-success .input-group-addon { color: #3c763d; border-color: #3c763d; background-color: #dff0d8; } .has-success .form-control-feedback { color: #3c763d; } .has-warning .help-block, .has-warning .control-label, .has-warning .radio, .has-warning .checkbox, .has-warning .radio-inline, .has-warning .checkbox-inline, .has-warning.radio label, .has-warning.checkbox label, .has-warning.radio-inline label, .has-warning.checkbox-inline label { color: #8a6d3b; } .has-warning .form-control { border-color: #8a6d3b; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); } .has-warning .form-control:focus { border-color: #66512c; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b; box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b; } .has-warning .input-group-addon { color: #8a6d3b; border-color: #8a6d3b; background-color: #fcf8e3; } .has-warning .form-control-feedback { color: #8a6d3b; } .has-error .help-block, .has-error .control-label, .has-error .radio, .has-error .checkbox, .has-error .radio-inline, .has-error .checkbox-inline, .has-error.radio label, .has-error.checkbox label, .has-error.radio-inline label, .has-error.checkbox-inline label { color: #a94442; } .has-error .form-control { border-color: #a94442; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); } .has-error .form-control:focus { border-color: #843534; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483; box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483; } .has-error .input-group-addon { color: #a94442; border-color: #a94442; background-color: #f2dede; } .has-error .form-control-feedback { color: #a94442; } .has-feedback label ~ .form-control-feedback { top: 23px; } .has-feedback label.sr-only ~ .form-control-feedback { top: 0; } .help-block { display: block; margin-top: 5px; margin-bottom: 10px; color: #404040; } @media (min-width: 768px) { .form-inline .form-group { display: inline-block; margin-bottom: 0; vertical-align: middle; } .form-inline .form-control { display: inline-block; width: auto; vertical-align: middle; } .form-inline .form-control-static { display: inline-block; } .form-inline .input-group { display: inline-table; vertical-align: middle; } .form-inline .input-group .input-group-addon, .form-inline .input-group .input-group-btn, .form-inline .input-group .form-control { width: auto; } .form-inline .input-group > .form-control { width: 100%; } .form-inline .control-label { margin-bottom: 0; vertical-align: middle; } .form-inline .radio, .form-inline .checkbox { display: inline-block; margin-top: 0; margin-bottom: 0; vertical-align: middle; } .form-inline .radio label, .form-inline .checkbox label { padding-left: 0; } .form-inline .radio input[type="radio"], .form-inline .checkbox input[type="checkbox"] { position: relative; margin-left: 0; } .form-inline .has-feedback .form-control-feedback { top: 0; } } .form-horizontal .radio, .form-horizontal .checkbox, .form-horizontal .radio-inline, .form-horizontal .checkbox-inline { margin-top: 0; margin-bottom: 0; padding-top: 7px; } .form-horizontal .radio, .form-horizontal .checkbox { min-height: 25px; } .form-horizontal .form-group { margin-left: 0px; margin-right: 0px; } @media (min-width: 768px) { .form-horizontal .control-label { text-align: right; margin-bottom: 0; padding-top: 7px; } } .form-horizontal .has-feedback .form-control-feedback { right: 0px; } @media (min-width: 768px) { .form-horizontal .form-group-lg .control-label { padding-top: 11px; font-size: 17px; } } @media (min-width: 768px) { .form-horizontal .form-group-sm .control-label { padding-top: 6px; font-size: 12px; } } .btn { display: inline-block; margin-bottom: 0; font-weight: normal; text-align: center; vertical-align: middle; touch-action: manipulation; cursor: pointer; background-image: none; border: 1px solid transparent; white-space: nowrap; padding: 6px 12px; font-size: 13px; line-height: 1.42857143; border-radius: 2px; -webkit-user-select: none; -moz-user-select: none; -ms-user-select: none; user-select: none; } .btn:focus, .btn:active:focus, .btn.active:focus, .btn.focus, .btn:active.focus, .btn.active.focus { outline: 5px auto -webkit-focus-ring-color; outline-offset: -2px; } .btn:hover, .btn:focus, .btn.focus { color: #333; text-decoration: none; } .btn:active, .btn.active { outline: 0; background-image: none; -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); } .btn.disabled, .btn[disabled], fieldset[disabled] .btn { cursor: not-allowed; opacity: 0.65; filter: alpha(opacity=65); -webkit-box-shadow: none; box-shadow: none; } a.btn.disabled, fieldset[disabled] a.btn { pointer-events: none; } .btn-default { color: #333; background-color: #fff; border-color: #ccc; } .btn-default:focus, .btn-default.focus { color: #333; background-color: #e6e6e6; border-color: #8c8c8c; } .btn-default:hover { color: #333; background-color: #e6e6e6; border-color: #adadad; } .btn-default:active, .btn-default.active, .open > .dropdown-toggle.btn-default { color: #333; background-color: #e6e6e6; border-color: #adadad; } .btn-default:active:hover, .btn-default.active:hover, .open > .dropdown-toggle.btn-default:hover, .btn-default:active:focus, .btn-default.active:focus, .open > .dropdown-toggle.btn-default:focus, .btn-default:active.focus, .btn-default.active.focus, .open > .dropdown-toggle.btn-default.focus { color: #333; background-color: #d4d4d4; border-color: #8c8c8c; } .btn-default:active, .btn-default.active, .open > .dropdown-toggle.btn-default { background-image: none; } .btn-default.disabled:hover, .btn-default[disabled]:hover, fieldset[disabled] .btn-default:hover, .btn-default.disabled:focus, .btn-default[disabled]:focus, fieldset[disabled] .btn-default:focus, .btn-default.disabled.focus, .btn-default[disabled].focus, fieldset[disabled] .btn-default.focus { background-color: #fff; border-color: #ccc; } .btn-default .badge { color: #fff; background-color: #333; } .btn-primary { color: #fff; background-color: #337ab7; border-color: #2e6da4; } .btn-primary:focus, .btn-primary.focus { color: #fff; background-color: #286090; border-color: #122b40; } .btn-primary:hover { color: #fff; background-color: #286090; border-color: #204d74; } .btn-primary:active, .btn-primary.active, .open > .dropdown-toggle.btn-primary { color: #fff; background-color: #286090; border-color: #204d74; } .btn-primary:active:hover, .btn-primary.active:hover, .open > .dropdown-toggle.btn-primary:hover, .btn-primary:active:focus, .btn-primary.active:focus, .open > .dropdown-toggle.btn-primary:focus, .btn-primary:active.focus, .btn-primary.active.focus, .open > .dropdown-toggle.btn-primary.focus { color: #fff; background-color: #204d74; border-color: #122b40; } .btn-primary:active, .btn-primary.active, .open > .dropdown-toggle.btn-primary { background-image: none; } .btn-primary.disabled:hover, .btn-primary[disabled]:hover, fieldset[disabled] .btn-primary:hover, .btn-primary.disabled:focus, .btn-primary[disabled]:focus, fieldset[disabled] .btn-primary:focus, .btn-primary.disabled.focus, .btn-primary[disabled].focus, fieldset[disabled] .btn-primary.focus { background-color: #337ab7; border-color: #2e6da4; } .btn-primary .badge { color: #337ab7; background-color: #fff; } .btn-success { color: #fff; background-color: #5cb85c; border-color: #4cae4c; } .btn-success:focus, .btn-success.focus { color: #fff; background-color: #449d44; border-color: #255625; } .btn-success:hover { color: #fff; background-color: #449d44; border-color: #398439; } .btn-success:active, .btn-success.active, .open > .dropdown-toggle.btn-success { color: #fff; background-color: #449d44; border-color: #398439; } .btn-success:active:hover, .btn-success.active:hover, .open > .dropdown-toggle.btn-success:hover, .btn-success:active:focus, .btn-success.active:focus, .open > .dropdown-toggle.btn-success:focus, .btn-success:active.focus, .btn-success.active.focus, .open > .dropdown-toggle.btn-success.focus { color: #fff; background-color: #398439; border-color: #255625; } .btn-success:active, .btn-success.active, .open > .dropdown-toggle.btn-success { background-image: none; } .btn-success.disabled:hover, .btn-success[disabled]:hover, fieldset[disabled] .btn-success:hover, .btn-success.disabled:focus, .btn-success[disabled]:focus, fieldset[disabled] .btn-success:focus, .btn-success.disabled.focus, .btn-success[disabled].focus, fieldset[disabled] .btn-success.focus { background-color: #5cb85c; border-color: #4cae4c; } .btn-success .badge { color: #5cb85c; background-color: #fff; } .btn-info { color: #fff; background-color: #5bc0de; border-color: #46b8da; } .btn-info:focus, .btn-info.focus { color: #fff; background-color: #31b0d5; border-color: #1b6d85; } .btn-info:hover { color: #fff; background-color: #31b0d5; border-color: #269abc; } .btn-info:active, .btn-info.active, .open > .dropdown-toggle.btn-info { color: #fff; background-color: #31b0d5; border-color: #269abc; } .btn-info:active:hover, .btn-info.active:hover, .open > .dropdown-toggle.btn-info:hover, .btn-info:active:focus, .btn-info.active:focus, .open > .dropdown-toggle.btn-info:focus, .btn-info:active.focus, .btn-info.active.focus, .open > .dropdown-toggle.btn-info.focus { color: #fff; background-color: #269abc; border-color: #1b6d85; } .btn-info:active, .btn-info.active, .open > .dropdown-toggle.btn-info { background-image: none; } .btn-info.disabled:hover, .btn-info[disabled]:hover, fieldset[disabled] .btn-info:hover, .btn-info.disabled:focus, .btn-info[disabled]:focus, fieldset[disabled] .btn-info:focus, .btn-info.disabled.focus, .btn-info[disabled].focus, fieldset[disabled] .btn-info.focus { background-color: #5bc0de; border-color: #46b8da; } .btn-info .badge { color: #5bc0de; background-color: #fff; } .btn-warning { color: #fff; background-color: #f0ad4e; border-color: #eea236; } .btn-warning:focus, .btn-warning.focus { color: #fff; background-color: #ec971f; border-color: #985f0d; } .btn-warning:hover { color: #fff; background-color: #ec971f; border-color: #d58512; } .btn-warning:active, .btn-warning.active, .open > .dropdown-toggle.btn-warning { color: #fff; background-color: #ec971f; border-color: #d58512; } .btn-warning:active:hover, .btn-warning.active:hover, .open > .dropdown-toggle.btn-warning:hover, .btn-warning:active:focus, .btn-warning.active:focus, .open > .dropdown-toggle.btn-warning:focus, .btn-warning:active.focus, .btn-warning.active.focus, .open > .dropdown-toggle.btn-warning.focus { color: #fff; background-color: #d58512; border-color: #985f0d; } .btn-warning:active, .btn-warning.active, .open > .dropdown-toggle.btn-warning { background-image: none; } .btn-warning.disabled:hover, .btn-warning[disabled]:hover, fieldset[disabled] .btn-warning:hover, .btn-warning.disabled:focus, .btn-warning[disabled]:focus, fieldset[disabled] .btn-warning:focus, .btn-warning.disabled.focus, .btn-warning[disabled].focus, fieldset[disabled] .btn-warning.focus { background-color: #f0ad4e; border-color: #eea236; } .btn-warning .badge { color: #f0ad4e; background-color: #fff; } .btn-danger { color: #fff; background-color: #d9534f; border-color: #d43f3a; } .btn-danger:focus, .btn-danger.focus { color: #fff; background-color: #c9302c; border-color: #761c19; } .btn-danger:hover { color: #fff; background-color: #c9302c; border-color: #ac2925; } .btn-danger:active, .btn-danger.active, .open > .dropdown-toggle.btn-danger { color: #fff; background-color: #c9302c; border-color: #ac2925; } .btn-danger:active:hover, .btn-danger.active:hover, .open > .dropdown-toggle.btn-danger:hover, .btn-danger:active:focus, .btn-danger.active:focus, .open > .dropdown-toggle.btn-danger:focus, .btn-danger:active.focus, .btn-danger.active.focus, .open > .dropdown-toggle.btn-danger.focus { color: #fff; background-color: #ac2925; border-color: #761c19; } .btn-danger:active, .btn-danger.active, .open > .dropdown-toggle.btn-danger { background-image: none; } .btn-danger.disabled:hover, .btn-danger[disabled]:hover, fieldset[disabled] .btn-danger:hover, .btn-danger.disabled:focus, .btn-danger[disabled]:focus, fieldset[disabled] .btn-danger:focus, .btn-danger.disabled.focus, .btn-danger[disabled].focus, fieldset[disabled] .btn-danger.focus { background-color: #d9534f; border-color: #d43f3a; } .btn-danger .badge { color: #d9534f; background-color: #fff; } .btn-link { color: #337ab7; font-weight: normal; border-radius: 0; } .btn-link, .btn-link:active, .btn-link.active, .btn-link[disabled], fieldset[disabled] .btn-link { background-color: transparent; -webkit-box-shadow: none; box-shadow: none; } .btn-link, .btn-link:hover, .btn-link:focus, .btn-link:active { border-color: transparent; } .btn-link:hover, .btn-link:focus { color: #23527c; text-decoration: underline; background-color: transparent; } .btn-link[disabled]:hover, fieldset[disabled] .btn-link:hover, .btn-link[disabled]:focus, fieldset[disabled] .btn-link:focus { color: #777777; text-decoration: none; } .btn-lg, .btn-group-lg > .btn { padding: 10px 16px; font-size: 17px; line-height: 1.3333333; border-radius: 3px; } .btn-sm, .btn-group-sm > .btn { padding: 5px 10px; font-size: 12px; line-height: 1.5; border-radius: 1px; } .btn-xs, .btn-group-xs > .btn { padding: 1px 5px; font-size: 12px; line-height: 1.5; border-radius: 1px; } .btn-block { display: block; width: 100%; } .btn-block + .btn-block { margin-top: 5px; } input[type="submit"].btn-block, input[type="reset"].btn-block, input[type="button"].btn-block { width: 100%; } .fade { opacity: 0; -webkit-transition: opacity 0.15s linear; -o-transition: opacity 0.15s linear; transition: opacity 0.15s linear; } .fade.in { opacity: 1; } .collapse { display: none; } .collapse.in { display: block; } tr.collapse.in { display: table-row; } tbody.collapse.in { display: table-row-group; } .collapsing { position: relative; height: 0; overflow: hidden; -webkit-transition-property: height, visibility; transition-property: height, visibility; -webkit-transition-duration: 0.35s; transition-duration: 0.35s; -webkit-transition-timing-function: ease; transition-timing-function: ease; } .caret { display: inline-block; width: 0; height: 0; margin-left: 2px; vertical-align: middle; border-top: 4px dashed; border-top: 4px solid \9; border-right: 4px solid transparent; border-left: 4px solid transparent; } .dropup, .dropdown { position: relative; } .dropdown-toggle:focus { outline: 0; } .dropdown-menu { position: absolute; top: 100%; left: 0; z-index: 1000; display: none; float: left; min-width: 160px; padding: 5px 0; margin: 2px 0 0; list-style: none; font-size: 13px; text-align: left; background-color: #fff; border: 1px solid #ccc; border: 1px solid rgba(0, 0, 0, 0.15); border-radius: 2px; -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175); box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175); background-clip: padding-box; } .dropdown-menu.pull-right { right: 0; left: auto; } .dropdown-menu .divider { height: 1px; margin: 8px 0; overflow: hidden; background-color: #e5e5e5; } .dropdown-menu > li > a { display: block; padding: 3px 20px; clear: both; font-weight: normal; line-height: 1.42857143; color: #333333; white-space: nowrap; } .dropdown-menu > li > a:hover, .dropdown-menu > li > a:focus { text-decoration: none; color: #262626; background-color: #f5f5f5; } .dropdown-menu > .active > a, .dropdown-menu > .active > a:hover, .dropdown-menu > .active > a:focus { color: #fff; text-decoration: none; outline: 0; background-color: #337ab7; } .dropdown-menu > .disabled > a, .dropdown-menu > .disabled > a:hover, .dropdown-menu > .disabled > a:focus { color: #777777; } .dropdown-menu > .disabled > a:hover, .dropdown-menu > .disabled > a:focus { text-decoration: none; background-color: transparent; background-image: none; filter: progid:DXImageTransform.Microsoft.gradient(enabled = false); cursor: not-allowed; } .open > .dropdown-menu { display: block; } .open > a { outline: 0; } .dropdown-menu-right { left: auto; right: 0; } .dropdown-menu-left { left: 0; right: auto; } .dropdown-header { display: block; padding: 3px 20px; font-size: 12px; line-height: 1.42857143; color: #777777; white-space: nowrap; } .dropdown-backdrop { position: fixed; left: 0; right: 0; bottom: 0; top: 0; z-index: 990; } .pull-right > .dropdown-menu { right: 0; left: auto; } .dropup .caret, .navbar-fixed-bottom .dropdown .caret { border-top: 0; border-bottom: 4px dashed; border-bottom: 4px solid \9; content: ""; } .dropup .dropdown-menu, .navbar-fixed-bottom .dropdown .dropdown-menu { top: auto; bottom: 100%; margin-bottom: 2px; } @media (min-width: 541px) { .navbar-right .dropdown-menu { left: auto; right: 0; } .navbar-right .dropdown-menu-left { left: 0; right: auto; } } .btn-group, .btn-group-vertical { position: relative; display: inline-block; vertical-align: middle; } .btn-group > .btn, .btn-group-vertical > .btn { position: relative; float: left; } .btn-group > .btn:hover, .btn-group-vertical > .btn:hover, .btn-group > .btn:focus, .btn-group-vertical > .btn:focus, .btn-group > .btn:active, .btn-group-vertical > .btn:active, .btn-group > .btn.active, .btn-group-vertical > .btn.active { z-index: 2; } .btn-group .btn + .btn, .btn-group .btn + .btn-group, .btn-group .btn-group + .btn, .btn-group .btn-group + .btn-group { margin-left: -1px; } .btn-toolbar { margin-left: -5px; } .btn-toolbar .btn, .btn-toolbar .btn-group, .btn-toolbar .input-group { float: left; } .btn-toolbar > .btn, .btn-toolbar > .btn-group, .btn-toolbar > .input-group { margin-left: 5px; } .btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) { border-radius: 0; } .btn-group > .btn:first-child { margin-left: 0; } .btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) { border-bottom-right-radius: 0; border-top-right-radius: 0; } .btn-group > .btn:last-child:not(:first-child), .btn-group > .dropdown-toggle:not(:first-child) { border-bottom-left-radius: 0; border-top-left-radius: 0; } .btn-group > .btn-group { float: left; } .btn-group > .btn-group:not(:first-child):not(:last-child) > .btn { border-radius: 0; } .btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child, .btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle { border-bottom-right-radius: 0; border-top-right-radius: 0; } .btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child { border-bottom-left-radius: 0; border-top-left-radius: 0; } .btn-group .dropdown-toggle:active, .btn-group.open .dropdown-toggle { outline: 0; } .btn-group > .btn + .dropdown-toggle { padding-left: 8px; padding-right: 8px; } .btn-group > .btn-lg + .dropdown-toggle { padding-left: 12px; padding-right: 12px; } .btn-group.open .dropdown-toggle { -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125); } .btn-group.open .dropdown-toggle.btn-link { -webkit-box-shadow: none; box-shadow: none; } .btn .caret { margin-left: 0; } .btn-lg .caret { border-width: 5px 5px 0; border-bottom-width: 0; } .dropup .btn-lg .caret { border-width: 0 5px 5px; } .btn-group-vertical > .btn, .btn-group-vertical > .btn-group, .btn-group-vertical > .btn-group > .btn { display: block; float: none; width: 100%; max-width: 100%; } .btn-group-vertical > .btn-group > .btn { float: none; } .btn-group-vertical > .btn + .btn, .btn-group-vertical > .btn + .btn-group, .btn-group-vertical > .btn-group + .btn, .btn-group-vertical > .btn-group + .btn-group { margin-top: -1px; margin-left: 0; } .btn-group-vertical > .btn:not(:first-child):not(:last-child) { border-radius: 0; } .btn-group-vertical > .btn:first-child:not(:last-child) { border-top-right-radius: 2px; border-top-left-radius: 2px; border-bottom-right-radius: 0; border-bottom-left-radius: 0; } .btn-group-vertical > .btn:last-child:not(:first-child) { border-top-right-radius: 0; border-top-left-radius: 0; border-bottom-right-radius: 2px; border-bottom-left-radius: 2px; } .btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn { border-radius: 0; } .btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child, .btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle { border-bottom-right-radius: 0; border-bottom-left-radius: 0; } .btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child { border-top-right-radius: 0; border-top-left-radius: 0; } .btn-group-justified { display: table; width: 100%; table-layout: fixed; border-collapse: separate; } .btn-group-justified > .btn, .btn-group-justified > .btn-group { float: none; display: table-cell; width: 1%; } .btn-group-justified > .btn-group .btn { width: 100%; } .btn-group-justified > .btn-group .dropdown-menu { left: auto; } [data-toggle="buttons"] > .btn input[type="radio"], [data-toggle="buttons"] > .btn-group > .btn input[type="radio"], [data-toggle="buttons"] > .btn input[type="checkbox"], [data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] { position: absolute; clip: rect(0, 0, 0, 0); pointer-events: none; } .input-group { position: relative; display: table; border-collapse: separate; } .input-group[class*="col-"] { float: none; padding-left: 0; padding-right: 0; } .input-group .form-control { position: relative; z-index: 2; float: left; width: 100%; margin-bottom: 0; } .input-group .form-control:focus { z-index: 3; } .input-group-lg > .form-control, .input-group-lg > .input-group-addon, .input-group-lg > .input-group-btn > .btn { height: 45px; padding: 10px 16px; font-size: 17px; line-height: 1.3333333; border-radius: 3px; } select.input-group-lg > .form-control, select.input-group-lg > .input-group-addon, select.input-group-lg > .input-group-btn > .btn { height: 45px; line-height: 45px; } textarea.input-group-lg > .form-control, textarea.input-group-lg > .input-group-addon, textarea.input-group-lg > .input-group-btn > .btn, select[multiple].input-group-lg > .form-control, select[multiple].input-group-lg > .input-group-addon, select[multiple].input-group-lg > .input-group-btn > .btn { height: auto; } .input-group-sm > .form-control, .input-group-sm > .input-group-addon, .input-group-sm > .input-group-btn > .btn { height: 30px; padding: 5px 10px; font-size: 12px; line-height: 1.5; border-radius: 1px; } select.input-group-sm > .form-control, select.input-group-sm > .input-group-addon, select.input-group-sm > .input-group-btn > .btn { height: 30px; line-height: 30px; } textarea.input-group-sm > .form-control, textarea.input-group-sm > .input-group-addon, textarea.input-group-sm > .input-group-btn > .btn, select[multiple].input-group-sm > .form-control, select[multiple].input-group-sm > .input-group-addon, select[multiple].input-group-sm > .input-group-btn > .btn { height: auto; } .input-group-addon, .input-group-btn, .input-group .form-control { display: table-cell; } .input-group-addon:not(:first-child):not(:last-child), .input-group-btn:not(:first-child):not(:last-child), .input-group .form-control:not(:first-child):not(:last-child) { border-radius: 0; } .input-group-addon, .input-group-btn { width: 1%; white-space: nowrap; vertical-align: middle; } .input-group-addon { padding: 6px 12px; font-size: 13px; font-weight: normal; line-height: 1; color: #555555; text-align: center; background-color: #eeeeee; border: 1px solid #ccc; border-radius: 2px; } .input-group-addon.input-sm { padding: 5px 10px; font-size: 12px; border-radius: 1px; } .input-group-addon.input-lg { padding: 10px 16px; font-size: 17px; border-radius: 3px; } .input-group-addon input[type="radio"], .input-group-addon input[type="checkbox"] { margin-top: 0; } .input-group .form-control:first-child, .input-group-addon:first-child, .input-group-btn:first-child > .btn, .input-group-btn:first-child > .btn-group > .btn, .input-group-btn:first-child > .dropdown-toggle, .input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle), .input-group-btn:last-child > .btn-group:not(:last-child) > .btn { border-bottom-right-radius: 0; border-top-right-radius: 0; } .input-group-addon:first-child { border-right: 0; } .input-group .form-control:last-child, .input-group-addon:last-child, .input-group-btn:last-child > .btn, .input-group-btn:last-child > .btn-group > .btn, .input-group-btn:last-child > .dropdown-toggle, .input-group-btn:first-child > .btn:not(:first-child), .input-group-btn:first-child > .btn-group:not(:first-child) > .btn { border-bottom-left-radius: 0; border-top-left-radius: 0; } .input-group-addon:last-child { border-left: 0; } .input-group-btn { position: relative; font-size: 0; white-space: nowrap; } .input-group-btn > .btn { position: relative; } .input-group-btn > .btn + .btn { margin-left: -1px; } .input-group-btn > .btn:hover, .input-group-btn > .btn:focus, .input-group-btn > .btn:active { z-index: 2; } .input-group-btn:first-child > .btn, .input-group-btn:first-child > .btn-group { margin-right: -1px; } .input-group-btn:last-child > .btn, .input-group-btn:last-child > .btn-group { z-index: 2; margin-left: -1px; } .nav { margin-bottom: 0; padding-left: 0; list-style: none; } .nav > li { position: relative; display: block; } .nav > li > a { position: relative; display: block; padding: 10px 15px; } .nav > li > a:hover, .nav > li > a:focus { text-decoration: none; background-color: #eeeeee; } .nav > li.disabled > a { color: #777777; } .nav > li.disabled > a:hover, .nav > li.disabled > a:focus { color: #777777; text-decoration: none; background-color: transparent; cursor: not-allowed; } .nav .open > a, .nav .open > a:hover, .nav .open > a:focus { background-color: #eeeeee; border-color: #337ab7; } .nav .nav-divider { height: 1px; margin: 8px 0; overflow: hidden; background-color: #e5e5e5; } .nav > li > a > img { max-width: none; } .nav-tabs { border-bottom: 1px solid #ddd; } .nav-tabs > li { float: left; margin-bottom: -1px; } .nav-tabs > li > a { margin-right: 2px; line-height: 1.42857143; border: 1px solid transparent; border-radius: 2px 2px 0 0; } .nav-tabs > li > a:hover { border-color: #eeeeee #eeeeee #ddd; } .nav-tabs > li.active > a, .nav-tabs > li.active > a:hover, .nav-tabs > li.active > a:focus { color: #555555; background-color: #fff; border: 1px solid #ddd; border-bottom-color: transparent; cursor: default; } .nav-tabs.nav-justified { width: 100%; border-bottom: 0; } .nav-tabs.nav-justified > li { float: none; } .nav-tabs.nav-justified > li > a { text-align: center; margin-bottom: 5px; } .nav-tabs.nav-justified > .dropdown .dropdown-menu { top: auto; left: auto; } @media (min-width: 768px) { .nav-tabs.nav-justified > li { display: table-cell; width: 1%; } .nav-tabs.nav-justified > li > a { margin-bottom: 0; } } .nav-tabs.nav-justified > li > a { margin-right: 0; border-radius: 2px; } .nav-tabs.nav-justified > .active > a, .nav-tabs.nav-justified > .active > a:hover, .nav-tabs.nav-justified > .active > a:focus { border: 1px solid #ddd; } @media (min-width: 768px) { .nav-tabs.nav-justified > li > a { border-bottom: 1px solid #ddd; border-radius: 2px 2px 0 0; } .nav-tabs.nav-justified > .active > a, .nav-tabs.nav-justified > .active > a:hover, .nav-tabs.nav-justified > .active > a:focus { border-bottom-color: #fff; } } .nav-pills > li { float: left; } .nav-pills > li > a { border-radius: 2px; } .nav-pills > li + li { margin-left: 2px; } .nav-pills > li.active > a, .nav-pills > li.active > a:hover, .nav-pills > li.active > a:focus { color: #fff; background-color: #337ab7; } .nav-stacked > li { float: none; } .nav-stacked > li + li { margin-top: 2px; margin-left: 0; } .nav-justified { width: 100%; } .nav-justified > li { float: none; } .nav-justified > li > a { text-align: center; margin-bottom: 5px; } .nav-justified > .dropdown .dropdown-menu { top: auto; left: auto; } @media (min-width: 768px) { .nav-justified > li { display: table-cell; width: 1%; } .nav-justified > li > a { margin-bottom: 0; } } .nav-tabs-justified { border-bottom: 0; } .nav-tabs-justified > li > a { margin-right: 0; border-radius: 2px; } .nav-tabs-justified > .active > a, .nav-tabs-justified > .active > a:hover, .nav-tabs-justified > .active > a:focus { border: 1px solid #ddd; } @media (min-width: 768px) { .nav-tabs-justified > li > a { border-bottom: 1px solid #ddd; border-radius: 2px 2px 0 0; } .nav-tabs-justified > .active > a, .nav-tabs-justified > .active > a:hover, .nav-tabs-justified > .active > a:focus { border-bottom-color: #fff; } } .tab-content > .tab-pane { display: none; } .tab-content > .active { display: block; } .nav-tabs .dropdown-menu { margin-top: -1px; border-top-right-radius: 0; border-top-left-radius: 0; } .navbar { position: relative; min-height: 30px; margin-bottom: 18px; border: 1px solid transparent; } @media (min-width: 541px) { .navbar { border-radius: 2px; } } @media (min-width: 541px) { .navbar-header { float: left; } } .navbar-collapse { overflow-x: visible; padding-right: 0px; padding-left: 0px; border-top: 1px solid transparent; box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1); -webkit-overflow-scrolling: touch; } .navbar-collapse.in { overflow-y: auto; } @media (min-width: 541px) { .navbar-collapse { width: auto; border-top: 0; box-shadow: none; } .navbar-collapse.collapse { display: block !important; height: auto !important; padding-bottom: 0; overflow: visible !important; } .navbar-collapse.in { overflow-y: visible; } .navbar-fixed-top .navbar-collapse, .navbar-static-top .navbar-collapse, .navbar-fixed-bottom .navbar-collapse { padding-left: 0; padding-right: 0; } } .navbar-fixed-top .navbar-collapse, .navbar-fixed-bottom .navbar-collapse { max-height: 340px; } @media (max-device-width: 540px) and (orientation: landscape) { .navbar-fixed-top .navbar-collapse, .navbar-fixed-bottom .navbar-collapse { max-height: 200px; } } .container > .navbar-header, .container-fluid > .navbar-header, .container > .navbar-collapse, .container-fluid > .navbar-collapse { margin-right: 0px; margin-left: 0px; } @media (min-width: 541px) { .container > .navbar-header, .container-fluid > .navbar-header, .container > .navbar-collapse, .container-fluid > .navbar-collapse { margin-right: 0; margin-left: 0; } } .navbar-static-top { z-index: 1000; border-width: 0 0 1px; } @media (min-width: 541px) { .navbar-static-top { border-radius: 0; } } .navbar-fixed-top, .navbar-fixed-bottom { position: fixed; right: 0; left: 0; z-index: 1030; } @media (min-width: 541px) { .navbar-fixed-top, .navbar-fixed-bottom { border-radius: 0; } } .navbar-fixed-top { top: 0; border-width: 0 0 1px; } .navbar-fixed-bottom { bottom: 0; margin-bottom: 0; border-width: 1px 0 0; } .navbar-brand { float: left; padding: 6px 0px; font-size: 17px; line-height: 18px; height: 30px; } .navbar-brand:hover, .navbar-brand:focus { text-decoration: none; } .navbar-brand > img { display: block; } @media (min-width: 541px) { .navbar > .container .navbar-brand, .navbar > .container-fluid .navbar-brand { margin-left: 0px; } } .navbar-toggle { position: relative; float: right; margin-right: 0px; padding: 9px 10px; margin-top: -2px; margin-bottom: -2px; background-color: transparent; background-image: none; border: 1px solid transparent; border-radius: 2px; } .navbar-toggle:focus { outline: 0; } .navbar-toggle .icon-bar { display: block; width: 22px; height: 2px; border-radius: 1px; } .navbar-toggle .icon-bar + .icon-bar { margin-top: 4px; } @media (min-width: 541px) { .navbar-toggle { display: none; } } .navbar-nav { margin: 3px 0px; } .navbar-nav > li > a { padding-top: 10px; padding-bottom: 10px; line-height: 18px; } @media (max-width: 540px) { .navbar-nav .open .dropdown-menu { position: static; float: none; width: auto; margin-top: 0; background-color: transparent; border: 0; box-shadow: none; } .navbar-nav .open .dropdown-menu > li > a, .navbar-nav .open .dropdown-menu .dropdown-header { padding: 5px 15px 5px 25px; } .navbar-nav .open .dropdown-menu > li > a { line-height: 18px; } .navbar-nav .open .dropdown-menu > li > a:hover, .navbar-nav .open .dropdown-menu > li > a:focus { background-image: none; } } @media (min-width: 541px) { .navbar-nav { float: left; margin: 0; } .navbar-nav > li { float: left; } .navbar-nav > li > a { padding-top: 6px; padding-bottom: 6px; } } .navbar-form { margin-left: 0px; margin-right: 0px; padding: 10px 0px; border-top: 1px solid transparent; border-bottom: 1px solid transparent; -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1); box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1); margin-top: -1px; margin-bottom: -1px; } @media (min-width: 768px) { .navbar-form .form-group { display: inline-block; margin-bottom: 0; vertical-align: middle; } .navbar-form .form-control { display: inline-block; width: auto; vertical-align: middle; } .navbar-form .form-control-static { display: inline-block; } .navbar-form .input-group { display: inline-table; vertical-align: middle; } .navbar-form .input-group .input-group-addon, .navbar-form .input-group .input-group-btn, .navbar-form .input-group .form-control { width: auto; } .navbar-form .input-group > .form-control { width: 100%; } .navbar-form .control-label { margin-bottom: 0; vertical-align: middle; } .navbar-form .radio, .navbar-form .checkbox { display: inline-block; margin-top: 0; margin-bottom: 0; vertical-align: middle; } .navbar-form .radio label, .navbar-form .checkbox label { padding-left: 0; } .navbar-form .radio input[type="radio"], .navbar-form .checkbox input[type="checkbox"] { position: relative; margin-left: 0; } .navbar-form .has-feedback .form-control-feedback { top: 0; } } @media (max-width: 540px) { .navbar-form .form-group { margin-bottom: 5px; } .navbar-form .form-group:last-child { margin-bottom: 0; } } @media (min-width: 541px) { .navbar-form { width: auto; border: 0; margin-left: 0; margin-right: 0; padding-top: 0; padding-bottom: 0; -webkit-box-shadow: none; box-shadow: none; } } .navbar-nav > li > .dropdown-menu { margin-top: 0; border-top-right-radius: 0; border-top-left-radius: 0; } .navbar-fixed-bottom .navbar-nav > li > .dropdown-menu { margin-bottom: 0; border-top-right-radius: 2px; border-top-left-radius: 2px; border-bottom-right-radius: 0; border-bottom-left-radius: 0; } .navbar-btn { margin-top: -1px; margin-bottom: -1px; } .navbar-btn.btn-sm { margin-top: 0px; margin-bottom: 0px; } .navbar-btn.btn-xs { margin-top: 4px; margin-bottom: 4px; } .navbar-text { margin-top: 6px; margin-bottom: 6px; } @media (min-width: 541px) { .navbar-text { float: left; margin-left: 0px; margin-right: 0px; } } @media (min-width: 541px) { .navbar-left { float: left !important; float: left; } .navbar-right { float: right !important; float: right; margin-right: 0px; } .navbar-right ~ .navbar-right { margin-right: 0; } } .navbar-default { background-color: #f8f8f8; border-color: #e7e7e7; } .navbar-default .navbar-brand { color: #777; } .navbar-default .navbar-brand:hover, .navbar-default .navbar-brand:focus { color: #5e5e5e; background-color: transparent; } .navbar-default .navbar-text { color: #777; } .navbar-default .navbar-nav > li > a { color: #777; } .navbar-default .navbar-nav > li > a:hover, .navbar-default .navbar-nav > li > a:focus { color: #333; background-color: transparent; } .navbar-default .navbar-nav > .active > a, .navbar-default .navbar-nav > .active > a:hover, .navbar-default .navbar-nav > .active > a:focus { color: #555; background-color: #e7e7e7; } .navbar-default .navbar-nav > .disabled > a, .navbar-default .navbar-nav > .disabled > a:hover, .navbar-default .navbar-nav > .disabled > a:focus { color: #ccc; background-color: transparent; } .navbar-default .navbar-toggle { border-color: #ddd; } .navbar-default .navbar-toggle:hover, .navbar-default .navbar-toggle:focus { background-color: #ddd; } .navbar-default .navbar-toggle .icon-bar { background-color: #888; } .navbar-default .navbar-collapse, .navbar-default .navbar-form { border-color: #e7e7e7; } .navbar-default .navbar-nav > .open > a, .navbar-default .navbar-nav > .open > a:hover, .navbar-default .navbar-nav > .open > a:focus { background-color: #e7e7e7; color: #555; } @media (max-width: 540px) { .navbar-default .navbar-nav .open .dropdown-menu > li > a { color: #777; } .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover, .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus { color: #333; background-color: transparent; } .navbar-default .navbar-nav .open .dropdown-menu > .active > a, .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover, .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus { color: #555; background-color: #e7e7e7; } .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a, .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover, .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus { color: #ccc; background-color: transparent; } } .navbar-default .navbar-link { color: #777; } .navbar-default .navbar-link:hover { color: #333; } .navbar-default .btn-link { color: #777; } .navbar-default .btn-link:hover, .navbar-default .btn-link:focus { color: #333; } .navbar-default .btn-link[disabled]:hover, fieldset[disabled] .navbar-default .btn-link:hover, .navbar-default .btn-link[disabled]:focus, fieldset[disabled] .navbar-default .btn-link:focus { color: #ccc; } .navbar-inverse { background-color: #222; border-color: #080808; } .navbar-inverse .navbar-brand { color: #9d9d9d; } .navbar-inverse .navbar-brand:hover, .navbar-inverse .navbar-brand:focus { color: #fff; background-color: transparent; } .navbar-inverse .navbar-text { color: #9d9d9d; } .navbar-inverse .navbar-nav > li > a { color: #9d9d9d; } .navbar-inverse .navbar-nav > li > a:hover, .navbar-inverse .navbar-nav > li > a:focus { color: #fff; background-color: transparent; } .navbar-inverse .navbar-nav > .active > a, .navbar-inverse .navbar-nav > .active > a:hover, .navbar-inverse .navbar-nav > .active > a:focus { color: #fff; background-color: #080808; } .navbar-inverse .navbar-nav > .disabled > a, .navbar-inverse .navbar-nav > .disabled > a:hover, .navbar-inverse .navbar-nav > .disabled > a:focus { color: #444; background-color: transparent; } .navbar-inverse .navbar-toggle { border-color: #333; } .navbar-inverse .navbar-toggle:hover, .navbar-inverse .navbar-toggle:focus { background-color: #333; } .navbar-inverse .navbar-toggle .icon-bar { background-color: #fff; } .navbar-inverse .navbar-collapse, .navbar-inverse .navbar-form { border-color: #101010; } .navbar-inverse .navbar-nav > .open > a, .navbar-inverse .navbar-nav > .open > a:hover, .navbar-inverse .navbar-nav > .open > a:focus { background-color: #080808; color: #fff; } @media (max-width: 540px) { .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header { border-color: #080808; } .navbar-inverse .navbar-nav .open .dropdown-menu .divider { background-color: #080808; } .navbar-inverse .navbar-nav .open .dropdown-menu > li > a { color: #9d9d9d; } .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover, .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus { color: #fff; background-color: transparent; } .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a, .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover, .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus { color: #fff; background-color: #080808; } .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a, .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover, .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus { color: #444; background-color: transparent; } } .navbar-inverse .navbar-link { color: #9d9d9d; } .navbar-inverse .navbar-link:hover { color: #fff; } .navbar-inverse .btn-link { color: #9d9d9d; } .navbar-inverse .btn-link:hover, .navbar-inverse .btn-link:focus { color: #fff; } .navbar-inverse .btn-link[disabled]:hover, fieldset[disabled] .navbar-inverse .btn-link:hover, .navbar-inverse .btn-link[disabled]:focus, fieldset[disabled] .navbar-inverse .btn-link:focus { color: #444; } .breadcrumb { padding: 8px 15px; margin-bottom: 18px; list-style: none; background-color: #f5f5f5; border-radius: 2px; } .breadcrumb > li { display: inline-block; } .breadcrumb > li + li:before { content: "/\00a0"; padding: 0 5px; color: #5e5e5e; } .breadcrumb > .active { color: #777777; } .pagination { display: inline-block; padding-left: 0; margin: 18px 0; border-radius: 2px; } .pagination > li { display: inline; } .pagination > li > a, .pagination > li > span { position: relative; float: left; padding: 6px 12px; line-height: 1.42857143; text-decoration: none; color: #337ab7; background-color: #fff; border: 1px solid #ddd; margin-left: -1px; } .pagination > li:first-child > a, .pagination > li:first-child > span { margin-left: 0; border-bottom-left-radius: 2px; border-top-left-radius: 2px; } .pagination > li:last-child > a, .pagination > li:last-child > span { border-bottom-right-radius: 2px; border-top-right-radius: 2px; } .pagination > li > a:hover, .pagination > li > span:hover, .pagination > li > a:focus, .pagination > li > span:focus { z-index: 2; color: #23527c; background-color: #eeeeee; border-color: #ddd; } .pagination > .active > a, .pagination > .active > span, .pagination > .active > a:hover, .pagination > .active > span:hover, .pagination > .active > a:focus, .pagination > .active > span:focus { z-index: 3; color: #fff; background-color: #337ab7; border-color: #337ab7; cursor: default; } .pagination > .disabled > span, .pagination > .disabled > span:hover, .pagination > .disabled > span:focus, .pagination > .disabled > a, .pagination > .disabled > a:hover, .pagination > .disabled > a:focus { color: #777777; background-color: #fff; border-color: #ddd; cursor: not-allowed; } .pagination-lg > li > a, .pagination-lg > li > span { padding: 10px 16px; font-size: 17px; line-height: 1.3333333; } .pagination-lg > li:first-child > a, .pagination-lg > li:first-child > span { border-bottom-left-radius: 3px; border-top-left-radius: 3px; } .pagination-lg > li:last-child > a, .pagination-lg > li:last-child > span { border-bottom-right-radius: 3px; border-top-right-radius: 3px; } .pagination-sm > li > a, .pagination-sm > li > span { padding: 5px 10px; font-size: 12px; line-height: 1.5; } .pagination-sm > li:first-child > a, .pagination-sm > li:first-child > span { border-bottom-left-radius: 1px; border-top-left-radius: 1px; } .pagination-sm > li:last-child > a, .pagination-sm > li:last-child > span { border-bottom-right-radius: 1px; border-top-right-radius: 1px; } .pager { padding-left: 0; margin: 18px 0; list-style: none; text-align: center; } .pager li { display: inline; } .pager li > a, .pager li > span { display: inline-block; padding: 5px 14px; background-color: #fff; border: 1px solid #ddd; border-radius: 15px; } .pager li > a:hover, .pager li > a:focus { text-decoration: none; background-color: #eeeeee; } .pager .next > a, .pager .next > span { float: right; } .pager .previous > a, .pager .previous > span { float: left; } .pager .disabled > a, .pager .disabled > a:hover, .pager .disabled > a:focus, .pager .disabled > span { color: #777777; background-color: #fff; cursor: not-allowed; } .label { display: inline; padding: .2em .6em .3em; font-size: 75%; font-weight: bold; line-height: 1; color: #fff; text-align: center; white-space: nowrap; vertical-align: baseline; border-radius: .25em; } a.label:hover, a.label:focus { color: #fff; text-decoration: none; cursor: pointer; } .label:empty { display: none; } .btn .label { position: relative; top: -1px; } .label-default { background-color: #777777; } .label-default[href]:hover, .label-default[href]:focus { background-color: #5e5e5e; } .label-primary { background-color: #337ab7; } .label-primary[href]:hover, .label-primary[href]:focus { background-color: #286090; } .label-success { background-color: #5cb85c; } .label-success[href]:hover, .label-success[href]:focus { background-color: #449d44; } .label-info { background-color: #5bc0de; } .label-info[href]:hover, .label-info[href]:focus { background-color: #31b0d5; } .label-warning { background-color: #f0ad4e; } .label-warning[href]:hover, .label-warning[href]:focus { background-color: #ec971f; } .label-danger { background-color: #d9534f; } .label-danger[href]:hover, .label-danger[href]:focus { background-color: #c9302c; } .badge { display: inline-block; min-width: 10px; padding: 3px 7px; font-size: 12px; font-weight: bold; color: #fff; line-height: 1; vertical-align: middle; white-space: nowrap; text-align: center; background-color: #777777; border-radius: 10px; } .badge:empty { display: none; } .btn .badge { position: relative; top: -1px; } .btn-xs .badge, .btn-group-xs > .btn .badge { top: 0; padding: 1px 5px; } a.badge:hover, a.badge:focus { color: #fff; text-decoration: none; cursor: pointer; } .list-group-item.active > .badge, .nav-pills > .active > a > .badge { color: #337ab7; background-color: #fff; } .list-group-item > .badge { float: right; } .list-group-item > .badge + .badge { margin-right: 5px; } .nav-pills > li > a > .badge { margin-left: 3px; } .jumbotron { padding-top: 30px; padding-bottom: 30px; margin-bottom: 30px; color: inherit; background-color: #eeeeee; } .jumbotron h1, .jumbotron .h1 { color: inherit; } .jumbotron p { margin-bottom: 15px; font-size: 20px; font-weight: 200; } .jumbotron > hr { border-top-color: #d5d5d5; } .container .jumbotron, .container-fluid .jumbotron { border-radius: 3px; padding-left: 0px; padding-right: 0px; } .jumbotron .container { max-width: 100%; } @media screen and (min-width: 768px) { .jumbotron { padding-top: 48px; padding-bottom: 48px; } .container .jumbotron, .container-fluid .jumbotron { padding-left: 60px; padding-right: 60px; } .jumbotron h1, .jumbotron .h1 { font-size: 59px; } } .thumbnail { display: block; padding: 4px; margin-bottom: 18px; line-height: 1.42857143; background-color: #fff; border: 1px solid #ddd; border-radius: 2px; -webkit-transition: border 0.2s ease-in-out; -o-transition: border 0.2s ease-in-out; transition: border 0.2s ease-in-out; } .thumbnail > img, .thumbnail a > img { margin-left: auto; margin-right: auto; } a.thumbnail:hover, a.thumbnail:focus, a.thumbnail.active { border-color: #337ab7; } .thumbnail .caption { padding: 9px; color: #000; } .alert { padding: 15px; margin-bottom: 18px; border: 1px solid transparent; border-radius: 2px; } .alert h4 { margin-top: 0; color: inherit; } .alert .alert-link { font-weight: bold; } .alert > p, .alert > ul { margin-bottom: 0; } .alert > p + p { margin-top: 5px; } .alert-dismissable, .alert-dismissible { padding-right: 35px; } .alert-dismissable .close, .alert-dismissible .close { position: relative; top: -2px; right: -21px; color: inherit; } .alert-success { background-color: #dff0d8; border-color: #d6e9c6; color: #3c763d; } .alert-success hr { border-top-color: #c9e2b3; } .alert-success .alert-link { color: #2b542c; } .alert-info { background-color: #d9edf7; border-color: #bce8f1; color: #31708f; } .alert-info hr { border-top-color: #a6e1ec; } .alert-info .alert-link { color: #245269; } .alert-warning { background-color: #fcf8e3; border-color: #faebcc; color: #8a6d3b; } .alert-warning hr { border-top-color: #f7e1b5; } .alert-warning .alert-link { color: #66512c; } .alert-danger { background-color: #f2dede; border-color: #ebccd1; color: #a94442; } .alert-danger hr { border-top-color: #e4b9c0; } .alert-danger .alert-link { color: #843534; } @-webkit-keyframes progress-bar-stripes { from { background-position: 40px 0; } to { background-position: 0 0; } } @keyframes progress-bar-stripes { from { background-position: 40px 0; } to { background-position: 0 0; } } .progress { overflow: hidden; height: 18px; margin-bottom: 18px; background-color: #f5f5f5; border-radius: 2px; -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1); box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1); } .progress-bar { float: left; width: 0%; height: 100%; font-size: 12px; line-height: 18px; color: #fff; text-align: center; background-color: #337ab7; -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15); box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15); -webkit-transition: width 0.6s ease; -o-transition: width 0.6s ease; transition: width 0.6s ease; } .progress-striped .progress-bar, .progress-bar-striped { background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-size: 40px 40px; } .progress.active .progress-bar, .progress-bar.active { -webkit-animation: progress-bar-stripes 2s linear infinite; -o-animation: progress-bar-stripes 2s linear infinite; animation: progress-bar-stripes 2s linear infinite; } .progress-bar-success { background-color: #5cb85c; } .progress-striped .progress-bar-success { background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); } .progress-bar-info { background-color: #5bc0de; } .progress-striped .progress-bar-info { background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); } .progress-bar-warning { background-color: #f0ad4e; } .progress-striped .progress-bar-warning { background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); } .progress-bar-danger { background-color: #d9534f; } .progress-striped .progress-bar-danger { background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent); } .media { margin-top: 15px; } .media:first-child { margin-top: 0; } .media, .media-body { zoom: 1; overflow: hidden; } .media-body { width: 10000px; } .media-object { display: block; } .media-object.img-thumbnail { max-width: none; } .media-right, .media > .pull-right { padding-left: 10px; } .media-left, .media > .pull-left { padding-right: 10px; } .media-left, .media-right, .media-body { display: table-cell; vertical-align: top; } .media-middle { vertical-align: middle; } .media-bottom { vertical-align: bottom; } .media-heading { margin-top: 0; margin-bottom: 5px; } .media-list { padding-left: 0; list-style: none; } .list-group { margin-bottom: 20px; padding-left: 0; } .list-group-item { position: relative; display: block; padding: 10px 15px; margin-bottom: -1px; background-color: #fff; border: 1px solid #ddd; } .list-group-item:first-child { border-top-right-radius: 2px; border-top-left-radius: 2px; } .list-group-item:last-child { margin-bottom: 0; border-bottom-right-radius: 2px; border-bottom-left-radius: 2px; } a.list-group-item, button.list-group-item { color: #555; } a.list-group-item .list-group-item-heading, button.list-group-item .list-group-item-heading { color: #333; } a.list-group-item:hover, button.list-group-item:hover, a.list-group-item:focus, button.list-group-item:focus { text-decoration: none; color: #555; background-color: #f5f5f5; } button.list-group-item { width: 100%; text-align: left; } .list-group-item.disabled, .list-group-item.disabled:hover, .list-group-item.disabled:focus { background-color: #eeeeee; color: #777777; cursor: not-allowed; } .list-group-item.disabled .list-group-item-heading, .list-group-item.disabled:hover .list-group-item-heading, .list-group-item.disabled:focus .list-group-item-heading { color: inherit; } .list-group-item.disabled .list-group-item-text, .list-group-item.disabled:hover .list-group-item-text, .list-group-item.disabled:focus .list-group-item-text { color: #777777; } .list-group-item.active, .list-group-item.active:hover, .list-group-item.active:focus { z-index: 2; color: #fff; background-color: #337ab7; border-color: #337ab7; } .list-group-item.active .list-group-item-heading, .list-group-item.active:hover .list-group-item-heading, .list-group-item.active:focus .list-group-item-heading, .list-group-item.active .list-group-item-heading > small, .list-group-item.active:hover .list-group-item-heading > small, .list-group-item.active:focus .list-group-item-heading > small, .list-group-item.active .list-group-item-heading > .small, .list-group-item.active:hover .list-group-item-heading > .small, .list-group-item.active:focus .list-group-item-heading > .small { color: inherit; } .list-group-item.active .list-group-item-text, .list-group-item.active:hover .list-group-item-text, .list-group-item.active:focus .list-group-item-text { color: #c7ddef; } .list-group-item-success { color: #3c763d; background-color: #dff0d8; } a.list-group-item-success, button.list-group-item-success { color: #3c763d; } a.list-group-item-success .list-group-item-heading, button.list-group-item-success .list-group-item-heading { color: inherit; } a.list-group-item-success:hover, button.list-group-item-success:hover, a.list-group-item-success:focus, button.list-group-item-success:focus { color: #3c763d; background-color: #d0e9c6; } a.list-group-item-success.active, button.list-group-item-success.active, a.list-group-item-success.active:hover, button.list-group-item-success.active:hover, a.list-group-item-success.active:focus, button.list-group-item-success.active:focus { color: #fff; background-color: #3c763d; border-color: #3c763d; } .list-group-item-info { color: #31708f; background-color: #d9edf7; } a.list-group-item-info, button.list-group-item-info { color: #31708f; } a.list-group-item-info .list-group-item-heading, button.list-group-item-info .list-group-item-heading { color: inherit; } a.list-group-item-info:hover, button.list-group-item-info:hover, a.list-group-item-info:focus, button.list-group-item-info:focus { color: #31708f; background-color: #c4e3f3; } a.list-group-item-info.active, button.list-group-item-info.active, a.list-group-item-info.active:hover, button.list-group-item-info.active:hover, a.list-group-item-info.active:focus, button.list-group-item-info.active:focus { color: #fff; background-color: #31708f; border-color: #31708f; } .list-group-item-warning { color: #8a6d3b; background-color: #fcf8e3; } a.list-group-item-warning, button.list-group-item-warning { color: #8a6d3b; } a.list-group-item-warning .list-group-item-heading, button.list-group-item-warning .list-group-item-heading { color: inherit; } a.list-group-item-warning:hover, button.list-group-item-warning:hover, a.list-group-item-warning:focus, button.list-group-item-warning:focus { color: #8a6d3b; background-color: #faf2cc; } a.list-group-item-warning.active, button.list-group-item-warning.active, a.list-group-item-warning.active:hover, button.list-group-item-warning.active:hover, a.list-group-item-warning.active:focus, button.list-group-item-warning.active:focus { color: #fff; background-color: #8a6d3b; border-color: #8a6d3b; } .list-group-item-danger { color: #a94442; background-color: #f2dede; } a.list-group-item-danger, button.list-group-item-danger { color: #a94442; } a.list-group-item-danger .list-group-item-heading, button.list-group-item-danger .list-group-item-heading { color: inherit; } a.list-group-item-danger:hover, button.list-group-item-danger:hover, a.list-group-item-danger:focus, button.list-group-item-danger:focus { color: #a94442; background-color: #ebcccc; } a.list-group-item-danger.active, button.list-group-item-danger.active, a.list-group-item-danger.active:hover, button.list-group-item-danger.active:hover, a.list-group-item-danger.active:focus, button.list-group-item-danger.active:focus { color: #fff; background-color: #a94442; border-color: #a94442; } .list-group-item-heading { margin-top: 0; margin-bottom: 5px; } .list-group-item-text { margin-bottom: 0; line-height: 1.3; } .panel { margin-bottom: 18px; background-color: #fff; border: 1px solid transparent; border-radius: 2px; -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05); box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05); } .panel-body { padding: 15px; } .panel-heading { padding: 10px 15px; border-bottom: 1px solid transparent; border-top-right-radius: 1px; border-top-left-radius: 1px; } .panel-heading > .dropdown .dropdown-toggle { color: inherit; } .panel-title { margin-top: 0; margin-bottom: 0; font-size: 15px; color: inherit; } .panel-title > a, .panel-title > small, .panel-title > .small, .panel-title > small > a, .panel-title > .small > a { color: inherit; } .panel-footer { padding: 10px 15px; background-color: #f5f5f5; border-top: 1px solid #ddd; border-bottom-right-radius: 1px; border-bottom-left-radius: 1px; } .panel > .list-group, .panel > .panel-collapse > .list-group { margin-bottom: 0; } .panel > .list-group .list-group-item, .panel > .panel-collapse > .list-group .list-group-item { border-width: 1px 0; border-radius: 0; } .panel > .list-group:first-child .list-group-item:first-child, .panel > .panel-collapse > .list-group:first-child .list-group-item:first-child { border-top: 0; border-top-right-radius: 1px; border-top-left-radius: 1px; } .panel > .list-group:last-child .list-group-item:last-child, .panel > .panel-collapse > .list-group:last-child .list-group-item:last-child { border-bottom: 0; border-bottom-right-radius: 1px; border-bottom-left-radius: 1px; } .panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child { border-top-right-radius: 0; border-top-left-radius: 0; } .panel-heading + .list-group .list-group-item:first-child { border-top-width: 0; } .list-group + .panel-footer { border-top-width: 0; } .panel > .table, .panel > .table-responsive > .table, .panel > .panel-collapse > .table { margin-bottom: 0; } .panel > .table caption, .panel > .table-responsive > .table caption, .panel > .panel-collapse > .table caption { padding-left: 15px; padding-right: 15px; } .panel > .table:first-child, .panel > .table-responsive:first-child > .table:first-child { border-top-right-radius: 1px; border-top-left-radius: 1px; } .panel > .table:first-child > thead:first-child > tr:first-child, .panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child, .panel > .table:first-child > tbody:first-child > tr:first-child, .panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child { border-top-left-radius: 1px; border-top-right-radius: 1px; } .panel > .table:first-child > thead:first-child > tr:first-child td:first-child, .panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child, .panel > .table:first-child > tbody:first-child > tr:first-child td:first-child, .panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child, .panel > .table:first-child > thead:first-child > tr:first-child th:first-child, .panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child, .panel > .table:first-child > tbody:first-child > tr:first-child th:first-child, .panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child { border-top-left-radius: 1px; } .panel > .table:first-child > thead:first-child > tr:first-child td:last-child, .panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child, .panel > .table:first-child > tbody:first-child > tr:first-child td:last-child, .panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child, .panel > .table:first-child > thead:first-child > tr:first-child th:last-child, .panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child, .panel > .table:first-child > tbody:first-child > tr:first-child th:last-child, .panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child { border-top-right-radius: 1px; } .panel > .table:last-child, .panel > .table-responsive:last-child > .table:last-child { border-bottom-right-radius: 1px; border-bottom-left-radius: 1px; } .panel > .table:last-child > tbody:last-child > tr:last-child, .panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child, .panel > .table:last-child > tfoot:last-child > tr:last-child, .panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child { border-bottom-left-radius: 1px; border-bottom-right-radius: 1px; } .panel > .table:last-child > tbody:last-child > tr:last-child td:first-child, .panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child, .panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child, .panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child, .panel > .table:last-child > tbody:last-child > tr:last-child th:first-child, .panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child, .panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child, .panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child { border-bottom-left-radius: 1px; } .panel > .table:last-child > tbody:last-child > tr:last-child td:last-child, .panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child, .panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child, .panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child, .panel > .table:last-child > tbody:last-child > tr:last-child th:last-child, .panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child, .panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child, .panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child { border-bottom-right-radius: 1px; } .panel > .panel-body + .table, .panel > .panel-body + .table-responsive, .panel > .table + .panel-body, .panel > .table-responsive + .panel-body { border-top: 1px solid #ddd; } .panel > .table > tbody:first-child > tr:first-child th, .panel > .table > tbody:first-child > tr:first-child td { border-top: 0; } .panel > .table-bordered, .panel > .table-responsive > .table-bordered { border: 0; } .panel > .table-bordered > thead > tr > th:first-child, .panel > .table-responsive > .table-bordered > thead > tr > th:first-child, .panel > .table-bordered > tbody > tr > th:first-child, .panel > .table-responsive > .table-bordered > tbody > tr > th:first-child, .panel > .table-bordered > tfoot > tr > th:first-child, .panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child, .panel > .table-bordered > thead > tr > td:first-child, .panel > .table-responsive > .table-bordered > thead > tr > td:first-child, .panel > .table-bordered > tbody > tr > td:first-child, .panel > .table-responsive > .table-bordered > tbody > tr > td:first-child, .panel > .table-bordered > tfoot > tr > td:first-child, .panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child { border-left: 0; } .panel > .table-bordered > thead > tr > th:last-child, .panel > .table-responsive > .table-bordered > thead > tr > th:last-child, .panel > .table-bordered > tbody > tr > th:last-child, .panel > .table-responsive > .table-bordered > tbody > tr > th:last-child, .panel > .table-bordered > tfoot > tr > th:last-child, .panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child, .panel > .table-bordered > thead > tr > td:last-child, .panel > .table-responsive > .table-bordered > thead > tr > td:last-child, .panel > .table-bordered > tbody > tr > td:last-child, .panel > .table-responsive > .table-bordered > tbody > tr > td:last-child, .panel > .table-bordered > tfoot > tr > td:last-child, .panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child { border-right: 0; } .panel > .table-bordered > thead > tr:first-child > td, .panel > .table-responsive > .table-bordered > thead > tr:first-child > td, .panel > .table-bordered > tbody > tr:first-child > td, .panel > .table-responsive > .table-bordered > tbody > tr:first-child > td, .panel > .table-bordered > thead > tr:first-child > th, .panel > .table-responsive > .table-bordered > thead > tr:first-child > th, .panel > .table-bordered > tbody > tr:first-child > th, .panel > .table-responsive > .table-bordered > tbody > tr:first-child > th { border-bottom: 0; } .panel > .table-bordered > tbody > tr:last-child > td, .panel > .table-responsive > .table-bordered > tbody > tr:last-child > td, .panel > .table-bordered > tfoot > tr:last-child > td, .panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td, .panel > .table-bordered > tbody > tr:last-child > th, .panel > .table-responsive > .table-bordered > tbody > tr:last-child > th, .panel > .table-bordered > tfoot > tr:last-child > th, .panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th { border-bottom: 0; } .panel > .table-responsive { border: 0; margin-bottom: 0; } .panel-group { margin-bottom: 18px; } .panel-group .panel { margin-bottom: 0; border-radius: 2px; } .panel-group .panel + .panel { margin-top: 5px; } .panel-group .panel-heading { border-bottom: 0; } .panel-group .panel-heading + .panel-collapse > .panel-body, .panel-group .panel-heading + .panel-collapse > .list-group { border-top: 1px solid #ddd; } .panel-group .panel-footer { border-top: 0; } .panel-group .panel-footer + .panel-collapse .panel-body { border-bottom: 1px solid #ddd; } .panel-default { border-color: #ddd; } .panel-default > .panel-heading { color: #333333; background-color: #f5f5f5; border-color: #ddd; } .panel-default > .panel-heading + .panel-collapse > .panel-body { border-top-color: #ddd; } .panel-default > .panel-heading .badge { color: #f5f5f5; background-color: #333333; } .panel-default > .panel-footer + .panel-collapse > .panel-body { border-bottom-color: #ddd; } .panel-primary { border-color: #337ab7; } .panel-primary > .panel-heading { color: #fff; background-color: #337ab7; border-color: #337ab7; } .panel-primary > .panel-heading + .panel-collapse > .panel-body { border-top-color: #337ab7; } .panel-primary > .panel-heading .badge { color: #337ab7; background-color: #fff; } .panel-primary > .panel-footer + .panel-collapse > .panel-body { border-bottom-color: #337ab7; } .panel-success { border-color: #d6e9c6; } .panel-success > .panel-heading { color: #3c763d; background-color: #dff0d8; border-color: #d6e9c6; } .panel-success > .panel-heading + .panel-collapse > .panel-body { border-top-color: #d6e9c6; } .panel-success > .panel-heading .badge { color: #dff0d8; background-color: #3c763d; } .panel-success > .panel-footer + .panel-collapse > .panel-body { border-bottom-color: #d6e9c6; } .panel-info { border-color: #bce8f1; } .panel-info > .panel-heading { color: #31708f; background-color: #d9edf7; border-color: #bce8f1; } .panel-info > .panel-heading + .panel-collapse > .panel-body { border-top-color: #bce8f1; } .panel-info > .panel-heading .badge { color: #d9edf7; background-color: #31708f; } .panel-info > .panel-footer + .panel-collapse > .panel-body { border-bottom-color: #bce8f1; } .panel-warning { border-color: #faebcc; } .panel-warning > .panel-heading { color: #8a6d3b; background-color: #fcf8e3; border-color: #faebcc; } .panel-warning > .panel-heading + .panel-collapse > .panel-body { border-top-color: #faebcc; } .panel-warning > .panel-heading .badge { color: #fcf8e3; background-color: #8a6d3b; } .panel-warning > .panel-footer + .panel-collapse > .panel-body { border-bottom-color: #faebcc; } .panel-danger { border-color: #ebccd1; } .panel-danger > .panel-heading { color: #a94442; background-color: #f2dede; border-color: #ebccd1; } .panel-danger > .panel-heading + .panel-collapse > .panel-body { border-top-color: #ebccd1; } .panel-danger > .panel-heading .badge { color: #f2dede; background-color: #a94442; } .panel-danger > .panel-footer + .panel-collapse > .panel-body { border-bottom-color: #ebccd1; } .embed-responsive { position: relative; display: block; height: 0; padding: 0; overflow: hidden; } .embed-responsive .embed-responsive-item, .embed-responsive iframe, .embed-responsive embed, .embed-responsive object, .embed-responsive video { position: absolute; top: 0; left: 0; bottom: 0; height: 100%; width: 100%; border: 0; } .embed-responsive-16by9 { padding-bottom: 56.25%; } .embed-responsive-4by3 { padding-bottom: 75%; } .well { min-height: 20px; padding: 19px; margin-bottom: 20px; background-color: #f5f5f5; border: 1px solid #e3e3e3; border-radius: 2px; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05); box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05); } .well blockquote { border-color: #ddd; border-color: rgba(0, 0, 0, 0.15); } .well-lg { padding: 24px; border-radius: 3px; } .well-sm { padding: 9px; border-radius: 1px; } .close { float: right; font-size: 19.5px; font-weight: bold; line-height: 1; color: #000; text-shadow: 0 1px 0 #fff; opacity: 0.2; filter: alpha(opacity=20); } .close:hover, .close:focus { color: #000; text-decoration: none; cursor: pointer; opacity: 0.5; filter: alpha(opacity=50); } button.close { padding: 0; cursor: pointer; background: transparent; border: 0; -webkit-appearance: none; } .modal-open { overflow: hidden; } .modal { display: none; overflow: hidden; position: fixed; top: 0; right: 0; bottom: 0; left: 0; z-index: 1050; -webkit-overflow-scrolling: touch; outline: 0; } .modal.fade .modal-dialog { -webkit-transform: translate(0, -25%); -ms-transform: translate(0, -25%); -o-transform: translate(0, -25%); transform: translate(0, -25%); -webkit-transition: -webkit-transform 0.3s ease-out; -moz-transition: -moz-transform 0.3s ease-out; -o-transition: -o-transform 0.3s ease-out; transition: transform 0.3s ease-out; } .modal.in .modal-dialog { -webkit-transform: translate(0, 0); -ms-transform: translate(0, 0); -o-transform: translate(0, 0); transform: translate(0, 0); } .modal-open .modal { overflow-x: hidden; overflow-y: auto; } .modal-dialog { position: relative; width: auto; margin: 10px; } .modal-content { position: relative; background-color: #fff; border: 1px solid #999; border: 1px solid rgba(0, 0, 0, 0.2); border-radius: 3px; -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5); box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5); background-clip: padding-box; outline: 0; } .modal-backdrop { position: fixed; top: 0; right: 0; bottom: 0; left: 0; z-index: 1040; background-color: #000; } .modal-backdrop.fade { opacity: 0; filter: alpha(opacity=0); } .modal-backdrop.in { opacity: 0.5; filter: alpha(opacity=50); } .modal-header { padding: 15px; border-bottom: 1px solid #e5e5e5; } .modal-header .close { margin-top: -2px; } .modal-title { margin: 0; line-height: 1.42857143; } .modal-body { position: relative; padding: 15px; } .modal-footer { padding: 15px; text-align: right; border-top: 1px solid #e5e5e5; } .modal-footer .btn + .btn { margin-left: 5px; margin-bottom: 0; } .modal-footer .btn-group .btn + .btn { margin-left: -1px; } .modal-footer .btn-block + .btn-block { margin-left: 0; } .modal-scrollbar-measure { position: absolute; top: -9999px; width: 50px; height: 50px; overflow: scroll; } @media (min-width: 768px) { .modal-dialog { width: 600px; margin: 30px auto; } .modal-content { -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5); box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5); } .modal-sm { width: 300px; } } @media (min-width: 992px) { .modal-lg { width: 900px; } } .tooltip { position: absolute; z-index: 1070; display: block; font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; font-style: normal; font-weight: normal; letter-spacing: normal; line-break: auto; line-height: 1.42857143; text-align: left; text-align: start; text-decoration: none; text-shadow: none; text-transform: none; white-space: normal; word-break: normal; word-spacing: normal; word-wrap: normal; font-size: 12px; opacity: 0; filter: alpha(opacity=0); } .tooltip.in { opacity: 0.9; filter: alpha(opacity=90); } .tooltip.top { margin-top: -3px; padding: 5px 0; } .tooltip.right { margin-left: 3px; padding: 0 5px; } .tooltip.bottom { margin-top: 3px; padding: 5px 0; } .tooltip.left { margin-left: -3px; padding: 0 5px; } .tooltip-inner { max-width: 200px; padding: 3px 8px; color: #fff; text-align: center; background-color: #000; border-radius: 2px; } .tooltip-arrow { position: absolute; width: 0; height: 0; border-color: transparent; border-style: solid; } .tooltip.top .tooltip-arrow { bottom: 0; left: 50%; margin-left: -5px; border-width: 5px 5px 0; border-top-color: #000; } .tooltip.top-left .tooltip-arrow { bottom: 0; right: 5px; margin-bottom: -5px; border-width: 5px 5px 0; border-top-color: #000; } .tooltip.top-right .tooltip-arrow { bottom: 0; left: 5px; margin-bottom: -5px; border-width: 5px 5px 0; border-top-color: #000; } .tooltip.right .tooltip-arrow { top: 50%; left: 0; margin-top: -5px; border-width: 5px 5px 5px 0; border-right-color: #000; } .tooltip.left .tooltip-arrow { top: 50%; right: 0; margin-top: -5px; border-width: 5px 0 5px 5px; border-left-color: #000; } .tooltip.bottom .tooltip-arrow { top: 0; left: 50%; margin-left: -5px; border-width: 0 5px 5px; border-bottom-color: #000; } .tooltip.bottom-left .tooltip-arrow { top: 0; right: 5px; margin-top: -5px; border-width: 0 5px 5px; border-bottom-color: #000; } .tooltip.bottom-right .tooltip-arrow { top: 0; left: 5px; margin-top: -5px; border-width: 0 5px 5px; border-bottom-color: #000; } .popover { position: absolute; top: 0; left: 0; z-index: 1060; display: none; max-width: 276px; padding: 1px; font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; font-style: normal; font-weight: normal; letter-spacing: normal; line-break: auto; line-height: 1.42857143; text-align: left; text-align: start; text-decoration: none; text-shadow: none; text-transform: none; white-space: normal; word-break: normal; word-spacing: normal; word-wrap: normal; font-size: 13px; background-color: #fff; background-clip: padding-box; border: 1px solid #ccc; border: 1px solid rgba(0, 0, 0, 0.2); border-radius: 3px; -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); } .popover.top { margin-top: -10px; } .popover.right { margin-left: 10px; } .popover.bottom { margin-top: 10px; } .popover.left { margin-left: -10px; } .popover-title { margin: 0; padding: 8px 14px; font-size: 13px; background-color: #f7f7f7; border-bottom: 1px solid #ebebeb; border-radius: 2px 2px 0 0; } .popover-content { padding: 9px 14px; } .popover > .arrow, .popover > .arrow:after { position: absolute; display: block; width: 0; height: 0; border-color: transparent; border-style: solid; } .popover > .arrow { border-width: 11px; } .popover > .arrow:after { border-width: 10px; content: ""; } .popover.top > .arrow { left: 50%; margin-left: -11px; border-bottom-width: 0; border-top-color: #999999; border-top-color: rgba(0, 0, 0, 0.25); bottom: -11px; } .popover.top > .arrow:after { content: " "; bottom: 1px; margin-left: -10px; border-bottom-width: 0; border-top-color: #fff; } .popover.right > .arrow { top: 50%; left: -11px; margin-top: -11px; border-left-width: 0; border-right-color: #999999; border-right-color: rgba(0, 0, 0, 0.25); } .popover.right > .arrow:after { content: " "; left: 1px; bottom: -10px; border-left-width: 0; border-right-color: #fff; } .popover.bottom > .arrow { left: 50%; margin-left: -11px; border-top-width: 0; border-bottom-color: #999999; border-bottom-color: rgba(0, 0, 0, 0.25); top: -11px; } .popover.bottom > .arrow:after { content: " "; top: 1px; margin-left: -10px; border-top-width: 0; border-bottom-color: #fff; } .popover.left > .arrow { top: 50%; right: -11px; margin-top: -11px; border-right-width: 0; border-left-color: #999999; border-left-color: rgba(0, 0, 0, 0.25); } .popover.left > .arrow:after { content: " "; right: 1px; border-right-width: 0; border-left-color: #fff; bottom: -10px; } .carousel { position: relative; } .carousel-inner { position: relative; overflow: hidden; width: 100%; } .carousel-inner > .item { display: none; position: relative; -webkit-transition: 0.6s ease-in-out left; -o-transition: 0.6s ease-in-out left; transition: 0.6s ease-in-out left; } .carousel-inner > .item > img, .carousel-inner > .item > a > img { line-height: 1; } @media all and (transform-3d), (-webkit-transform-3d) { .carousel-inner > .item { -webkit-transition: -webkit-transform 0.6s ease-in-out; -moz-transition: -moz-transform 0.6s ease-in-out; -o-transition: -o-transform 0.6s ease-in-out; transition: transform 0.6s ease-in-out; -webkit-backface-visibility: hidden; -moz-backface-visibility: hidden; backface-visibility: hidden; -webkit-perspective: 1000px; -moz-perspective: 1000px; perspective: 1000px; } .carousel-inner > .item.next, .carousel-inner > .item.active.right { -webkit-transform: translate3d(100%, 0, 0); transform: translate3d(100%, 0, 0); left: 0; } .carousel-inner > .item.prev, .carousel-inner > .item.active.left { -webkit-transform: translate3d(-100%, 0, 0); transform: translate3d(-100%, 0, 0); left: 0; } .carousel-inner > .item.next.left, .carousel-inner > .item.prev.right, .carousel-inner > .item.active { -webkit-transform: translate3d(0, 0, 0); transform: translate3d(0, 0, 0); left: 0; } } .carousel-inner > .active, .carousel-inner > .next, .carousel-inner > .prev { display: block; } .carousel-inner > .active { left: 0; } .carousel-inner > .next, .carousel-inner > .prev { position: absolute; top: 0; width: 100%; } .carousel-inner > .next { left: 100%; } .carousel-inner > .prev { left: -100%; } .carousel-inner > .next.left, .carousel-inner > .prev.right { left: 0; } .carousel-inner > .active.left { left: -100%; } .carousel-inner > .active.right { left: 100%; } .carousel-control { position: absolute; top: 0; left: 0; bottom: 0; width: 15%; opacity: 0.5; filter: alpha(opacity=50); font-size: 20px; color: #fff; text-align: center; text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6); background-color: rgba(0, 0, 0, 0); } .carousel-control.left { background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%); background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%); background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%); background-repeat: repeat-x; filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1); } .carousel-control.right { left: auto; right: 0; background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%); background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%); background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%); background-repeat: repeat-x; filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1); } .carousel-control:hover, .carousel-control:focus { outline: 0; color: #fff; text-decoration: none; opacity: 0.9; filter: alpha(opacity=90); } .carousel-control .icon-prev, .carousel-control .icon-next, .carousel-control .glyphicon-chevron-left, .carousel-control .glyphicon-chevron-right { position: absolute; top: 50%; margin-top: -10px; z-index: 5; display: inline-block; } .carousel-control .icon-prev, .carousel-control .glyphicon-chevron-left { left: 50%; margin-left: -10px; } .carousel-control .icon-next, .carousel-control .glyphicon-chevron-right { right: 50%; margin-right: -10px; } .carousel-control .icon-prev, .carousel-control .icon-next { width: 20px; height: 20px; line-height: 1; font-family: serif; } .carousel-control .icon-prev:before { content: '\2039'; } .carousel-control .icon-next:before { content: '\203a'; } .carousel-indicators { position: absolute; bottom: 10px; left: 50%; z-index: 15; width: 60%; margin-left: -30%; padding-left: 0; list-style: none; text-align: center; } .carousel-indicators li { display: inline-block; width: 10px; height: 10px; margin: 1px; text-indent: -999px; border: 1px solid #fff; border-radius: 10px; cursor: pointer; background-color: #000 \9; background-color: rgba(0, 0, 0, 0); } .carousel-indicators .active { margin: 0; width: 12px; height: 12px; background-color: #fff; } .carousel-caption { position: absolute; left: 15%; right: 15%; bottom: 20px; z-index: 10; padding-top: 20px; padding-bottom: 20px; color: #fff; text-align: center; text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6); } .carousel-caption .btn { text-shadow: none; } @media screen and (min-width: 768px) { .carousel-control .glyphicon-chevron-left, .carousel-control .glyphicon-chevron-right, .carousel-control .icon-prev, .carousel-control .icon-next { width: 30px; height: 30px; margin-top: -10px; font-size: 30px; } .carousel-control .glyphicon-chevron-left, .carousel-control .icon-prev { margin-left: -10px; } .carousel-control .glyphicon-chevron-right, .carousel-control .icon-next { margin-right: -10px; } .carousel-caption { left: 20%; right: 20%; padding-bottom: 30px; } .carousel-indicators { bottom: 20px; } } .clearfix:before, .clearfix:after, .dl-horizontal dd:before, .dl-horizontal dd:after, .container:before, .container:after, .container-fluid:before, .container-fluid:after, .row:before, .row:after, .form-horizontal .form-group:before, .form-horizontal .form-group:after, .btn-toolbar:before, .btn-toolbar:after, .btn-group-vertical > .btn-group:before, .btn-group-vertical > .btn-group:after, .nav:before, .nav:after, .navbar:before, .navbar:after, .navbar-header:before, .navbar-header:after, .navbar-collapse:before, .navbar-collapse:after, .pager:before, .pager:after, .panel-body:before, .panel-body:after, .modal-header:before, .modal-header:after, .modal-footer:before, .modal-footer:after, .item_buttons:before, .item_buttons:after { content: " "; display: table; } .clearfix:after, .dl-horizontal dd:after, .container:after, .container-fluid:after, .row:after, .form-horizontal .form-group:after, .btn-toolbar:after, .btn-group-vertical > .btn-group:after, .nav:after, .navbar:after, .navbar-header:after, .navbar-collapse:after, .pager:after, .panel-body:after, .modal-header:after, .modal-footer:after, .item_buttons:after { clear: both; } .center-block { display: block; margin-left: auto; margin-right: auto; } .pull-right { float: right !important; } .pull-left { float: left !important; } .hide { display: none !important; } .show { display: block !important; } .invisible { visibility: hidden; } .text-hide { font: 0/0 a; color: transparent; text-shadow: none; background-color: transparent; border: 0; } .hidden { display: none !important; } .affix { position: fixed; } @-ms-viewport { width: device-width; } .visible-xs, .visible-sm, .visible-md, .visible-lg { display: none !important; } .visible-xs-block, .visible-xs-inline, .visible-xs-inline-block, .visible-sm-block, .visible-sm-inline, .visible-sm-inline-block, .visible-md-block, .visible-md-inline, .visible-md-inline-block, .visible-lg-block, .visible-lg-inline, .visible-lg-inline-block { display: none !important; } @media (max-width: 767px) { .visible-xs { display: block !important; } table.visible-xs { display: table !important; } tr.visible-xs { display: table-row !important; } th.visible-xs, td.visible-xs { display: table-cell !important; } } @media (max-width: 767px) { .visible-xs-block { display: block !important; } } @media (max-width: 767px) { .visible-xs-inline { display: inline !important; } } @media (max-width: 767px) { .visible-xs-inline-block { display: inline-block !important; } } @media (min-width: 768px) and (max-width: 991px) { .visible-sm { display: block !important; } table.visible-sm { display: table !important; } tr.visible-sm { display: table-row !important; } th.visible-sm, td.visible-sm { display: table-cell !important; } } @media (min-width: 768px) and (max-width: 991px) { .visible-sm-block { display: block !important; } } @media (min-width: 768px) and (max-width: 991px) { .visible-sm-inline { display: inline !important; } } @media (min-width: 768px) and (max-width: 991px) { .visible-sm-inline-block { display: inline-block !important; } } @media (min-width: 992px) and (max-width: 1199px) { .visible-md { display: block !important; } table.visible-md { display: table !important; } tr.visible-md { display: table-row !important; } th.visible-md, td.visible-md { display: table-cell !important; } } @media (min-width: 992px) and (max-width: 1199px) { .visible-md-block { display: block !important; } } @media (min-width: 992px) and (max-width: 1199px) { .visible-md-inline { display: inline !important; } } @media (min-width: 992px) and (max-width: 1199px) { .visible-md-inline-block { display: inline-block !important; } } @media (min-width: 1200px) { .visible-lg { display: block !important; } table.visible-lg { display: table !important; } tr.visible-lg { display: table-row !important; } th.visible-lg, td.visible-lg { display: table-cell !important; } } @media (min-width: 1200px) { .visible-lg-block { display: block !important; } } @media (min-width: 1200px) { .visible-lg-inline { display: inline !important; } } @media (min-width: 1200px) { .visible-lg-inline-block { display: inline-block !important; } } @media (max-width: 767px) { .hidden-xs { display: none !important; } } @media (min-width: 768px) and (max-width: 991px) { .hidden-sm { display: none !important; } } @media (min-width: 992px) and (max-width: 1199px) { .hidden-md { display: none !important; } } @media (min-width: 1200px) { .hidden-lg { display: none !important; } } .visible-print { display: none !important; } @media print { .visible-print { display: block !important; } table.visible-print { display: table !important; } tr.visible-print { display: table-row !important; } th.visible-print, td.visible-print { display: table-cell !important; } } .visible-print-block { display: none !important; } @media print { .visible-print-block { display: block !important; } } .visible-print-inline { display: none !important; } @media print { .visible-print-inline { display: inline !important; } } .visible-print-inline-block { display: none !important; } @media print { .visible-print-inline-block { display: inline-block !important; } } @media print { .hidden-print { display: none !important; } } /*! * * Font Awesome * */ /*! * Font Awesome 4.7.0 by @davegandy - http://fontawesome.io - @fontawesome * License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License) */ /* FONT PATH * -------------------------- */ @font-face { font-family: 'FontAwesome'; src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.7.0'); src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#fontawesomeregular') format('svg'); font-weight: normal; font-style: normal; } .fa { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; } /* makes the font 33% larger relative to the icon container */ .fa-lg { font-size: 1.33333333em; line-height: 0.75em; vertical-align: -15%; } .fa-2x { font-size: 2em; } .fa-3x { font-size: 3em; } .fa-4x { font-size: 4em; } .fa-5x { font-size: 5em; } .fa-fw { width: 1.28571429em; text-align: center; } .fa-ul { padding-left: 0; margin-left: 2.14285714em; list-style-type: none; } .fa-ul > li { position: relative; } .fa-li { position: absolute; left: -2.14285714em; width: 2.14285714em; top: 0.14285714em; text-align: center; } .fa-li.fa-lg { left: -1.85714286em; } .fa-border { padding: .2em .25em .15em; border: solid 0.08em #eee; border-radius: .1em; } .fa-pull-left { float: left; } .fa-pull-right { float: right; } .fa.fa-pull-left { margin-right: .3em; } .fa.fa-pull-right { margin-left: .3em; } /* Deprecated as of 4.4.0 */ .pull-right { float: right; } .pull-left { float: left; } .fa.pull-left { margin-right: .3em; } .fa.pull-right { margin-left: .3em; } .fa-spin { -webkit-animation: fa-spin 2s infinite linear; animation: fa-spin 2s infinite linear; } .fa-pulse { -webkit-animation: fa-spin 1s infinite steps(8); animation: fa-spin 1s infinite steps(8); } @-webkit-keyframes fa-spin { 0% { -webkit-transform: rotate(0deg); transform: rotate(0deg); } 100% { -webkit-transform: rotate(359deg); transform: rotate(359deg); } } @keyframes fa-spin { 0% { -webkit-transform: rotate(0deg); transform: rotate(0deg); } 100% { -webkit-transform: rotate(359deg); transform: rotate(359deg); } } .fa-rotate-90 { -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)"; -webkit-transform: rotate(90deg); -ms-transform: rotate(90deg); transform: rotate(90deg); } .fa-rotate-180 { -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)"; -webkit-transform: rotate(180deg); -ms-transform: rotate(180deg); transform: rotate(180deg); } .fa-rotate-270 { -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)"; -webkit-transform: rotate(270deg); -ms-transform: rotate(270deg); transform: rotate(270deg); } .fa-flip-horizontal { -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1)"; -webkit-transform: scale(-1, 1); -ms-transform: scale(-1, 1); transform: scale(-1, 1); } .fa-flip-vertical { -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1)"; -webkit-transform: scale(1, -1); -ms-transform: scale(1, -1); transform: scale(1, -1); } :root .fa-rotate-90, :root .fa-rotate-180, :root .fa-rotate-270, :root .fa-flip-horizontal, :root .fa-flip-vertical { filter: none; } .fa-stack { position: relative; display: inline-block; width: 2em; height: 2em; line-height: 2em; vertical-align: middle; } .fa-stack-1x, .fa-stack-2x { position: absolute; left: 0; width: 100%; text-align: center; } .fa-stack-1x { line-height: inherit; } .fa-stack-2x { font-size: 2em; } .fa-inverse { color: #fff; } /* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen readers do not read off random characters that represent icons */ .fa-glass:before { content: "\f000"; } .fa-music:before { content: "\f001"; } .fa-search:before { content: "\f002"; } .fa-envelope-o:before { content: "\f003"; } .fa-heart:before { content: "\f004"; } .fa-star:before { content: "\f005"; } .fa-star-o:before { content: "\f006"; } .fa-user:before { content: "\f007"; } .fa-film:before { content: "\f008"; } .fa-th-large:before { content: "\f009"; } .fa-th:before { content: "\f00a"; } .fa-th-list:before { content: "\f00b"; } .fa-check:before { content: "\f00c"; } .fa-remove:before, .fa-close:before, .fa-times:before { content: "\f00d"; } .fa-search-plus:before { content: "\f00e"; } .fa-search-minus:before { content: "\f010"; } .fa-power-off:before { content: "\f011"; } .fa-signal:before { content: "\f012"; } .fa-gear:before, .fa-cog:before { content: "\f013"; } .fa-trash-o:before { content: "\f014"; } .fa-home:before { content: "\f015"; } .fa-file-o:before { content: "\f016"; } .fa-clock-o:before { content: "\f017"; } .fa-road:before { content: "\f018"; } .fa-download:before { content: "\f019"; } .fa-arrow-circle-o-down:before { content: "\f01a"; } .fa-arrow-circle-o-up:before { content: "\f01b"; } .fa-inbox:before { content: "\f01c"; } .fa-play-circle-o:before { content: "\f01d"; } .fa-rotate-right:before, .fa-repeat:before { content: "\f01e"; } .fa-refresh:before { content: "\f021"; } .fa-list-alt:before { content: "\f022"; } .fa-lock:before { content: "\f023"; } .fa-flag:before { content: "\f024"; } .fa-headphones:before { content: "\f025"; } .fa-volume-off:before { content: "\f026"; } .fa-volume-down:before { content: "\f027"; } .fa-volume-up:before { content: "\f028"; } .fa-qrcode:before { content: "\f029"; } .fa-barcode:before { content: "\f02a"; } .fa-tag:before { content: "\f02b"; } .fa-tags:before { content: "\f02c"; } .fa-book:before { content: "\f02d"; } .fa-bookmark:before { content: "\f02e"; } .fa-print:before { content: "\f02f"; } .fa-camera:before { content: "\f030"; } .fa-font:before { content: "\f031"; } .fa-bold:before { content: "\f032"; } .fa-italic:before { content: "\f033"; } .fa-text-height:before { content: "\f034"; } .fa-text-width:before { content: "\f035"; } .fa-align-left:before { content: "\f036"; } .fa-align-center:before { content: "\f037"; } .fa-align-right:before { content: "\f038"; } .fa-align-justify:before { content: "\f039"; } .fa-list:before { content: "\f03a"; } .fa-dedent:before, .fa-outdent:before { content: "\f03b"; } .fa-indent:before { content: "\f03c"; } .fa-video-camera:before { content: "\f03d"; } .fa-photo:before, .fa-image:before, .fa-picture-o:before { content: "\f03e"; } .fa-pencil:before { content: "\f040"; } .fa-map-marker:before { content: "\f041"; } .fa-adjust:before { content: "\f042"; } .fa-tint:before { content: "\f043"; } .fa-edit:before, .fa-pencil-square-o:before { content: "\f044"; } .fa-share-square-o:before { content: "\f045"; } .fa-check-square-o:before { content: "\f046"; } .fa-arrows:before { content: "\f047"; } .fa-step-backward:before { content: "\f048"; } .fa-fast-backward:before { content: "\f049"; } .fa-backward:before { content: "\f04a"; } .fa-play:before { content: "\f04b"; } .fa-pause:before { content: "\f04c"; } .fa-stop:before { content: "\f04d"; } .fa-forward:before { content: "\f04e"; } .fa-fast-forward:before { content: "\f050"; } .fa-step-forward:before { content: "\f051"; } .fa-eject:before { content: "\f052"; } .fa-chevron-left:before { content: "\f053"; } .fa-chevron-right:before { content: "\f054"; } .fa-plus-circle:before { content: "\f055"; } .fa-minus-circle:before { content: "\f056"; } .fa-times-circle:before { content: "\f057"; } .fa-check-circle:before { content: "\f058"; } .fa-question-circle:before { content: "\f059"; } .fa-info-circle:before { content: "\f05a"; } .fa-crosshairs:before { content: "\f05b"; } .fa-times-circle-o:before { content: "\f05c"; } .fa-check-circle-o:before { content: "\f05d"; } .fa-ban:before { content: "\f05e"; } .fa-arrow-left:before { content: "\f060"; } .fa-arrow-right:before { content: "\f061"; } .fa-arrow-up:before { content: "\f062"; } .fa-arrow-down:before { content: "\f063"; } .fa-mail-forward:before, .fa-share:before { content: "\f064"; } .fa-expand:before { content: "\f065"; } .fa-compress:before { content: "\f066"; } .fa-plus:before { content: "\f067"; } .fa-minus:before { content: "\f068"; } .fa-asterisk:before { content: "\f069"; } .fa-exclamation-circle:before { content: "\f06a"; } .fa-gift:before { content: "\f06b"; } .fa-leaf:before { content: "\f06c"; } .fa-fire:before { content: "\f06d"; } .fa-eye:before { content: "\f06e"; } .fa-eye-slash:before { content: "\f070"; } .fa-warning:before, .fa-exclamation-triangle:before { content: "\f071"; } .fa-plane:before { content: "\f072"; } .fa-calendar:before { content: "\f073"; } .fa-random:before { content: "\f074"; } .fa-comment:before { content: "\f075"; } .fa-magnet:before { content: "\f076"; } .fa-chevron-up:before { content: "\f077"; } .fa-chevron-down:before { content: "\f078"; } .fa-retweet:before { content: "\f079"; } .fa-shopping-cart:before { content: "\f07a"; } .fa-folder:before { content: "\f07b"; } .fa-folder-open:before { content: "\f07c"; } .fa-arrows-v:before { content: "\f07d"; } .fa-arrows-h:before { content: "\f07e"; } .fa-bar-chart-o:before, .fa-bar-chart:before { content: "\f080"; } .fa-twitter-square:before { content: "\f081"; } .fa-facebook-square:before { content: "\f082"; } .fa-camera-retro:before { content: "\f083"; } .fa-key:before { content: "\f084"; } .fa-gears:before, .fa-cogs:before { content: "\f085"; } .fa-comments:before { content: "\f086"; } .fa-thumbs-o-up:before { content: "\f087"; } .fa-thumbs-o-down:before { content: "\f088"; } .fa-star-half:before { content: "\f089"; } .fa-heart-o:before { content: "\f08a"; } .fa-sign-out:before { content: "\f08b"; } .fa-linkedin-square:before { content: "\f08c"; } .fa-thumb-tack:before { content: "\f08d"; } .fa-external-link:before { content: "\f08e"; } .fa-sign-in:before { content: "\f090"; } .fa-trophy:before { content: "\f091"; } .fa-github-square:before { content: "\f092"; } .fa-upload:before { content: "\f093"; } .fa-lemon-o:before { content: "\f094"; } .fa-phone:before { content: "\f095"; } .fa-square-o:before { content: "\f096"; } .fa-bookmark-o:before { content: "\f097"; } .fa-phone-square:before { content: "\f098"; } .fa-twitter:before { content: "\f099"; } .fa-facebook-f:before, .fa-facebook:before { content: "\f09a"; } .fa-github:before { content: "\f09b"; } .fa-unlock:before { content: "\f09c"; } .fa-credit-card:before { content: "\f09d"; } .fa-feed:before, .fa-rss:before { content: "\f09e"; } .fa-hdd-o:before { content: "\f0a0"; } .fa-bullhorn:before { content: "\f0a1"; } .fa-bell:before { content: "\f0f3"; } .fa-certificate:before { content: "\f0a3"; } .fa-hand-o-right:before { content: "\f0a4"; } .fa-hand-o-left:before { content: "\f0a5"; } .fa-hand-o-up:before { content: "\f0a6"; } .fa-hand-o-down:before { content: "\f0a7"; } .fa-arrow-circle-left:before { content: "\f0a8"; } .fa-arrow-circle-right:before { content: "\f0a9"; } .fa-arrow-circle-up:before { content: "\f0aa"; } .fa-arrow-circle-down:before { content: "\f0ab"; } .fa-globe:before { content: "\f0ac"; } .fa-wrench:before { content: "\f0ad"; } .fa-tasks:before { content: "\f0ae"; } .fa-filter:before { content: "\f0b0"; } .fa-briefcase:before { content: "\f0b1"; } .fa-arrows-alt:before { content: "\f0b2"; } .fa-group:before, .fa-users:before { content: "\f0c0"; } .fa-chain:before, .fa-link:before { content: "\f0c1"; } .fa-cloud:before { content: "\f0c2"; } .fa-flask:before { content: "\f0c3"; } .fa-cut:before, .fa-scissors:before { content: "\f0c4"; } .fa-copy:before, .fa-files-o:before { content: "\f0c5"; } .fa-paperclip:before { content: "\f0c6"; } .fa-save:before, .fa-floppy-o:before { content: "\f0c7"; } .fa-square:before { content: "\f0c8"; } .fa-navicon:before, .fa-reorder:before, .fa-bars:before { content: "\f0c9"; } .fa-list-ul:before { content: "\f0ca"; } .fa-list-ol:before { content: "\f0cb"; } .fa-strikethrough:before { content: "\f0cc"; } .fa-underline:before { content: "\f0cd"; } .fa-table:before { content: "\f0ce"; } .fa-magic:before { content: "\f0d0"; } .fa-truck:before { content: "\f0d1"; } .fa-pinterest:before { content: "\f0d2"; } .fa-pinterest-square:before { content: "\f0d3"; } .fa-google-plus-square:before { content: "\f0d4"; } .fa-google-plus:before { content: "\f0d5"; } .fa-money:before { content: "\f0d6"; } .fa-caret-down:before { content: "\f0d7"; } .fa-caret-up:before { content: "\f0d8"; } .fa-caret-left:before { content: "\f0d9"; } .fa-caret-right:before { content: "\f0da"; } .fa-columns:before { content: "\f0db"; } .fa-unsorted:before, .fa-sort:before { content: "\f0dc"; } .fa-sort-down:before, .fa-sort-desc:before { content: "\f0dd"; } .fa-sort-up:before, .fa-sort-asc:before { content: "\f0de"; } .fa-envelope:before { content: "\f0e0"; } .fa-linkedin:before { content: "\f0e1"; } .fa-rotate-left:before, .fa-undo:before { content: "\f0e2"; } .fa-legal:before, .fa-gavel:before { content: "\f0e3"; } .fa-dashboard:before, .fa-tachometer:before { content: "\f0e4"; } .fa-comment-o:before { content: "\f0e5"; } .fa-comments-o:before { content: "\f0e6"; } .fa-flash:before, .fa-bolt:before { content: "\f0e7"; } .fa-sitemap:before { content: "\f0e8"; } .fa-umbrella:before { content: "\f0e9"; } .fa-paste:before, .fa-clipboard:before { content: "\f0ea"; } .fa-lightbulb-o:before { content: "\f0eb"; } .fa-exchange:before { content: "\f0ec"; } .fa-cloud-download:before { content: "\f0ed"; } .fa-cloud-upload:before { content: "\f0ee"; } .fa-user-md:before { content: "\f0f0"; } .fa-stethoscope:before { content: "\f0f1"; } .fa-suitcase:before { content: "\f0f2"; } .fa-bell-o:before { content: "\f0a2"; } .fa-coffee:before { content: "\f0f4"; } .fa-cutlery:before { content: "\f0f5"; } .fa-file-text-o:before { content: "\f0f6"; } .fa-building-o:before { content: "\f0f7"; } .fa-hospital-o:before { content: "\f0f8"; } .fa-ambulance:before { content: "\f0f9"; } .fa-medkit:before { content: "\f0fa"; } .fa-fighter-jet:before { content: "\f0fb"; } .fa-beer:before { content: "\f0fc"; } .fa-h-square:before { content: "\f0fd"; } .fa-plus-square:before { content: "\f0fe"; } .fa-angle-double-left:before { content: "\f100"; } .fa-angle-double-right:before { content: "\f101"; } .fa-angle-double-up:before { content: "\f102"; } .fa-angle-double-down:before { content: "\f103"; } .fa-angle-left:before { content: "\f104"; } .fa-angle-right:before { content: "\f105"; } .fa-angle-up:before { content: "\f106"; } .fa-angle-down:before { content: "\f107"; } .fa-desktop:before { content: "\f108"; } .fa-laptop:before { content: "\f109"; } .fa-tablet:before { content: "\f10a"; } .fa-mobile-phone:before, .fa-mobile:before { content: "\f10b"; } .fa-circle-o:before { content: "\f10c"; } .fa-quote-left:before { content: "\f10d"; } .fa-quote-right:before { content: "\f10e"; } .fa-spinner:before { content: "\f110"; } .fa-circle:before { content: "\f111"; } .fa-mail-reply:before, .fa-reply:before { content: "\f112"; } .fa-github-alt:before { content: "\f113"; } .fa-folder-o:before { content: "\f114"; } .fa-folder-open-o:before { content: "\f115"; } .fa-smile-o:before { content: "\f118"; } .fa-frown-o:before { content: "\f119"; } .fa-meh-o:before { content: "\f11a"; } .fa-gamepad:before { content: "\f11b"; } .fa-keyboard-o:before { content: "\f11c"; } .fa-flag-o:before { content: "\f11d"; } .fa-flag-checkered:before { content: "\f11e"; } .fa-terminal:before { content: "\f120"; } .fa-code:before { content: "\f121"; } .fa-mail-reply-all:before, .fa-reply-all:before { content: "\f122"; } .fa-star-half-empty:before, .fa-star-half-full:before, .fa-star-half-o:before { content: "\f123"; } .fa-location-arrow:before { content: "\f124"; } .fa-crop:before { content: "\f125"; } .fa-code-fork:before { content: "\f126"; } .fa-unlink:before, .fa-chain-broken:before { content: "\f127"; } .fa-question:before { content: "\f128"; } .fa-info:before { content: "\f129"; } .fa-exclamation:before { content: "\f12a"; } .fa-superscript:before { content: "\f12b"; } .fa-subscript:before { content: "\f12c"; } .fa-eraser:before { content: "\f12d"; } .fa-puzzle-piece:before { content: "\f12e"; } .fa-microphone:before { content: "\f130"; } .fa-microphone-slash:before { content: "\f131"; } .fa-shield:before { content: "\f132"; } .fa-calendar-o:before { content: "\f133"; } .fa-fire-extinguisher:before { content: "\f134"; } .fa-rocket:before { content: "\f135"; } .fa-maxcdn:before { content: "\f136"; } .fa-chevron-circle-left:before { content: "\f137"; } .fa-chevron-circle-right:before { content: "\f138"; } .fa-chevron-circle-up:before { content: "\f139"; } .fa-chevron-circle-down:before { content: "\f13a"; } .fa-html5:before { content: "\f13b"; } .fa-css3:before { content: "\f13c"; } .fa-anchor:before { content: "\f13d"; } .fa-unlock-alt:before { content: "\f13e"; } .fa-bullseye:before { content: "\f140"; } .fa-ellipsis-h:before { content: "\f141"; } .fa-ellipsis-v:before { content: "\f142"; } .fa-rss-square:before { content: "\f143"; } .fa-play-circle:before { content: "\f144"; } .fa-ticket:before { content: "\f145"; } .fa-minus-square:before { content: "\f146"; } .fa-minus-square-o:before { content: "\f147"; } .fa-level-up:before { content: "\f148"; } .fa-level-down:before { content: "\f149"; } .fa-check-square:before { content: "\f14a"; } .fa-pencil-square:before { content: "\f14b"; } .fa-external-link-square:before { content: "\f14c"; } .fa-share-square:before { content: "\f14d"; } .fa-compass:before { content: "\f14e"; } .fa-toggle-down:before, .fa-caret-square-o-down:before { content: "\f150"; } .fa-toggle-up:before, .fa-caret-square-o-up:before { content: "\f151"; } .fa-toggle-right:before, .fa-caret-square-o-right:before { content: "\f152"; } .fa-euro:before, .fa-eur:before { content: "\f153"; } .fa-gbp:before { content: "\f154"; } .fa-dollar:before, .fa-usd:before { content: "\f155"; } .fa-rupee:before, .fa-inr:before { content: "\f156"; } .fa-cny:before, .fa-rmb:before, .fa-yen:before, .fa-jpy:before { content: "\f157"; } .fa-ruble:before, .fa-rouble:before, .fa-rub:before { content: "\f158"; } .fa-won:before, .fa-krw:before { content: "\f159"; } .fa-bitcoin:before, .fa-btc:before { content: "\f15a"; } .fa-file:before { content: "\f15b"; } .fa-file-text:before { content: "\f15c"; } .fa-sort-alpha-asc:before { content: "\f15d"; } .fa-sort-alpha-desc:before { content: "\f15e"; } .fa-sort-amount-asc:before { content: "\f160"; } .fa-sort-amount-desc:before { content: "\f161"; } .fa-sort-numeric-asc:before { content: "\f162"; } .fa-sort-numeric-desc:before { content: "\f163"; } .fa-thumbs-up:before { content: "\f164"; } .fa-thumbs-down:before { content: "\f165"; } .fa-youtube-square:before { content: "\f166"; } .fa-youtube:before { content: "\f167"; } .fa-xing:before { content: "\f168"; } .fa-xing-square:before { content: "\f169"; } .fa-youtube-play:before { content: "\f16a"; } .fa-dropbox:before { content: "\f16b"; } .fa-stack-overflow:before { content: "\f16c"; } .fa-instagram:before { content: "\f16d"; } .fa-flickr:before { content: "\f16e"; } .fa-adn:before { content: "\f170"; } .fa-bitbucket:before { content: "\f171"; } .fa-bitbucket-square:before { content: "\f172"; } .fa-tumblr:before { content: "\f173"; } .fa-tumblr-square:before { content: "\f174"; } .fa-long-arrow-down:before { content: "\f175"; } .fa-long-arrow-up:before { content: "\f176"; } .fa-long-arrow-left:before { content: "\f177"; } .fa-long-arrow-right:before { content: "\f178"; } .fa-apple:before { content: "\f179"; } .fa-windows:before { content: "\f17a"; } .fa-android:before { content: "\f17b"; } .fa-linux:before { content: "\f17c"; } .fa-dribbble:before { content: "\f17d"; } .fa-skype:before { content: "\f17e"; } .fa-foursquare:before { content: "\f180"; } .fa-trello:before { content: "\f181"; } .fa-female:before { content: "\f182"; } .fa-male:before { content: "\f183"; } .fa-gittip:before, .fa-gratipay:before { content: "\f184"; } .fa-sun-o:before { content: "\f185"; } .fa-moon-o:before { content: "\f186"; } .fa-archive:before { content: "\f187"; } .fa-bug:before { content: "\f188"; } .fa-vk:before { content: "\f189"; } .fa-weibo:before { content: "\f18a"; } .fa-renren:before { content: "\f18b"; } .fa-pagelines:before { content: "\f18c"; } .fa-stack-exchange:before { content: "\f18d"; } .fa-arrow-circle-o-right:before { content: "\f18e"; } .fa-arrow-circle-o-left:before { content: "\f190"; } .fa-toggle-left:before, .fa-caret-square-o-left:before { content: "\f191"; } .fa-dot-circle-o:before { content: "\f192"; } .fa-wheelchair:before { content: "\f193"; } .fa-vimeo-square:before { content: "\f194"; } .fa-turkish-lira:before, .fa-try:before { content: "\f195"; } .fa-plus-square-o:before { content: "\f196"; } .fa-space-shuttle:before { content: "\f197"; } .fa-slack:before { content: "\f198"; } .fa-envelope-square:before { content: "\f199"; } .fa-wordpress:before { content: "\f19a"; } .fa-openid:before { content: "\f19b"; } .fa-institution:before, .fa-bank:before, .fa-university:before { content: "\f19c"; } .fa-mortar-board:before, .fa-graduation-cap:before { content: "\f19d"; } .fa-yahoo:before { content: "\f19e"; } .fa-google:before { content: "\f1a0"; } .fa-reddit:before { content: "\f1a1"; } .fa-reddit-square:before { content: "\f1a2"; } .fa-stumbleupon-circle:before { content: "\f1a3"; } .fa-stumbleupon:before { content: "\f1a4"; } .fa-delicious:before { content: "\f1a5"; } .fa-digg:before { content: "\f1a6"; } .fa-pied-piper-pp:before { content: "\f1a7"; } .fa-pied-piper-alt:before { content: "\f1a8"; } .fa-drupal:before { content: "\f1a9"; } .fa-joomla:before { content: "\f1aa"; } .fa-language:before { content: "\f1ab"; } .fa-fax:before { content: "\f1ac"; } .fa-building:before { content: "\f1ad"; } .fa-child:before { content: "\f1ae"; } .fa-paw:before { content: "\f1b0"; } .fa-spoon:before { content: "\f1b1"; } .fa-cube:before { content: "\f1b2"; } .fa-cubes:before { content: "\f1b3"; } .fa-behance:before { content: "\f1b4"; } .fa-behance-square:before { content: "\f1b5"; } .fa-steam:before { content: "\f1b6"; } .fa-steam-square:before { content: "\f1b7"; } .fa-recycle:before { content: "\f1b8"; } .fa-automobile:before, .fa-car:before { content: "\f1b9"; } .fa-cab:before, .fa-taxi:before { content: "\f1ba"; } .fa-tree:before { content: "\f1bb"; } .fa-spotify:before { content: "\f1bc"; } .fa-deviantart:before { content: "\f1bd"; } .fa-soundcloud:before { content: "\f1be"; } .fa-database:before { content: "\f1c0"; } .fa-file-pdf-o:before { content: "\f1c1"; } .fa-file-word-o:before { content: "\f1c2"; } .fa-file-excel-o:before { content: "\f1c3"; } .fa-file-powerpoint-o:before { content: "\f1c4"; } .fa-file-photo-o:before, .fa-file-picture-o:before, .fa-file-image-o:before { content: "\f1c5"; } .fa-file-zip-o:before, .fa-file-archive-o:before { content: "\f1c6"; } .fa-file-sound-o:before, .fa-file-audio-o:before { content: "\f1c7"; } .fa-file-movie-o:before, .fa-file-video-o:before { content: "\f1c8"; } .fa-file-code-o:before { content: "\f1c9"; } .fa-vine:before { content: "\f1ca"; } .fa-codepen:before { content: "\f1cb"; } .fa-jsfiddle:before { content: "\f1cc"; } .fa-life-bouy:before, .fa-life-buoy:before, .fa-life-saver:before, .fa-support:before, .fa-life-ring:before { content: "\f1cd"; } .fa-circle-o-notch:before { content: "\f1ce"; } .fa-ra:before, .fa-resistance:before, .fa-rebel:before { content: "\f1d0"; } .fa-ge:before, .fa-empire:before { content: "\f1d1"; } .fa-git-square:before { content: "\f1d2"; } .fa-git:before { content: "\f1d3"; } .fa-y-combinator-square:before, .fa-yc-square:before, .fa-hacker-news:before { content: "\f1d4"; } .fa-tencent-weibo:before { content: "\f1d5"; } .fa-qq:before { content: "\f1d6"; } .fa-wechat:before, .fa-weixin:before { content: "\f1d7"; } .fa-send:before, .fa-paper-plane:before { content: "\f1d8"; } .fa-send-o:before, .fa-paper-plane-o:before { content: "\f1d9"; } .fa-history:before { content: "\f1da"; } .fa-circle-thin:before { content: "\f1db"; } .fa-header:before { content: "\f1dc"; } .fa-paragraph:before { content: "\f1dd"; } .fa-sliders:before { content: "\f1de"; } .fa-share-alt:before { content: "\f1e0"; } .fa-share-alt-square:before { content: "\f1e1"; } .fa-bomb:before { content: "\f1e2"; } .fa-soccer-ball-o:before, .fa-futbol-o:before { content: "\f1e3"; } .fa-tty:before { content: "\f1e4"; } .fa-binoculars:before { content: "\f1e5"; } .fa-plug:before { content: "\f1e6"; } .fa-slideshare:before { content: "\f1e7"; } .fa-twitch:before { content: "\f1e8"; } .fa-yelp:before { content: "\f1e9"; } .fa-newspaper-o:before { content: "\f1ea"; } .fa-wifi:before { content: "\f1eb"; } .fa-calculator:before { content: "\f1ec"; } .fa-paypal:before { content: "\f1ed"; } .fa-google-wallet:before { content: "\f1ee"; } .fa-cc-visa:before { content: "\f1f0"; } .fa-cc-mastercard:before { content: "\f1f1"; } .fa-cc-discover:before { content: "\f1f2"; } .fa-cc-amex:before { content: "\f1f3"; } .fa-cc-paypal:before { content: "\f1f4"; } .fa-cc-stripe:before { content: "\f1f5"; } .fa-bell-slash:before { content: "\f1f6"; } .fa-bell-slash-o:before { content: "\f1f7"; } .fa-trash:before { content: "\f1f8"; } .fa-copyright:before { content: "\f1f9"; } .fa-at:before { content: "\f1fa"; } .fa-eyedropper:before { content: "\f1fb"; } .fa-paint-brush:before { content: "\f1fc"; } .fa-birthday-cake:before { content: "\f1fd"; } .fa-area-chart:before { content: "\f1fe"; } .fa-pie-chart:before { content: "\f200"; } .fa-line-chart:before { content: "\f201"; } .fa-lastfm:before { content: "\f202"; } .fa-lastfm-square:before { content: "\f203"; } .fa-toggle-off:before { content: "\f204"; } .fa-toggle-on:before { content: "\f205"; } .fa-bicycle:before { content: "\f206"; } .fa-bus:before { content: "\f207"; } .fa-ioxhost:before { content: "\f208"; } .fa-angellist:before { content: "\f209"; } .fa-cc:before { content: "\f20a"; } .fa-shekel:before, .fa-sheqel:before, .fa-ils:before { content: "\f20b"; } .fa-meanpath:before { content: "\f20c"; } .fa-buysellads:before { content: "\f20d"; } .fa-connectdevelop:before { content: "\f20e"; } .fa-dashcube:before { content: "\f210"; } .fa-forumbee:before { content: "\f211"; } .fa-leanpub:before { content: "\f212"; } .fa-sellsy:before { content: "\f213"; } .fa-shirtsinbulk:before { content: "\f214"; } .fa-simplybuilt:before { content: "\f215"; } .fa-skyatlas:before { content: "\f216"; } .fa-cart-plus:before { content: "\f217"; } .fa-cart-arrow-down:before { content: "\f218"; } .fa-diamond:before { content: "\f219"; } .fa-ship:before { content: "\f21a"; } .fa-user-secret:before { content: "\f21b"; } .fa-motorcycle:before { content: "\f21c"; } .fa-street-view:before { content: "\f21d"; } .fa-heartbeat:before { content: "\f21e"; } .fa-venus:before { content: "\f221"; } .fa-mars:before { content: "\f222"; } .fa-mercury:before { content: "\f223"; } .fa-intersex:before, .fa-transgender:before { content: "\f224"; } .fa-transgender-alt:before { content: "\f225"; } .fa-venus-double:before { content: "\f226"; } .fa-mars-double:before { content: "\f227"; } .fa-venus-mars:before { content: "\f228"; } .fa-mars-stroke:before { content: "\f229"; } .fa-mars-stroke-v:before { content: "\f22a"; } .fa-mars-stroke-h:before { content: "\f22b"; } .fa-neuter:before { content: "\f22c"; } .fa-genderless:before { content: "\f22d"; } .fa-facebook-official:before { content: "\f230"; } .fa-pinterest-p:before { content: "\f231"; } .fa-whatsapp:before { content: "\f232"; } .fa-server:before { content: "\f233"; } .fa-user-plus:before { content: "\f234"; } .fa-user-times:before { content: "\f235"; } .fa-hotel:before, .fa-bed:before { content: "\f236"; } .fa-viacoin:before { content: "\f237"; } .fa-train:before { content: "\f238"; } .fa-subway:before { content: "\f239"; } .fa-medium:before { content: "\f23a"; } .fa-yc:before, .fa-y-combinator:before { content: "\f23b"; } .fa-optin-monster:before { content: "\f23c"; } .fa-opencart:before { content: "\f23d"; } .fa-expeditedssl:before { content: "\f23e"; } .fa-battery-4:before, .fa-battery:before, .fa-battery-full:before { content: "\f240"; } .fa-battery-3:before, .fa-battery-three-quarters:before { content: "\f241"; } .fa-battery-2:before, .fa-battery-half:before { content: "\f242"; } .fa-battery-1:before, .fa-battery-quarter:before { content: "\f243"; } .fa-battery-0:before, .fa-battery-empty:before { content: "\f244"; } .fa-mouse-pointer:before { content: "\f245"; } .fa-i-cursor:before { content: "\f246"; } .fa-object-group:before { content: "\f247"; } .fa-object-ungroup:before { content: "\f248"; } .fa-sticky-note:before { content: "\f249"; } .fa-sticky-note-o:before { content: "\f24a"; } .fa-cc-jcb:before { content: "\f24b"; } .fa-cc-diners-club:before { content: "\f24c"; } .fa-clone:before { content: "\f24d"; } .fa-balance-scale:before { content: "\f24e"; } .fa-hourglass-o:before { content: "\f250"; } .fa-hourglass-1:before, .fa-hourglass-start:before { content: "\f251"; } .fa-hourglass-2:before, .fa-hourglass-half:before { content: "\f252"; } .fa-hourglass-3:before, .fa-hourglass-end:before { content: "\f253"; } .fa-hourglass:before { content: "\f254"; } .fa-hand-grab-o:before, .fa-hand-rock-o:before { content: "\f255"; } .fa-hand-stop-o:before, .fa-hand-paper-o:before { content: "\f256"; } .fa-hand-scissors-o:before { content: "\f257"; } .fa-hand-lizard-o:before { content: "\f258"; } .fa-hand-spock-o:before { content: "\f259"; } .fa-hand-pointer-o:before { content: "\f25a"; } .fa-hand-peace-o:before { content: "\f25b"; } .fa-trademark:before { content: "\f25c"; } .fa-registered:before { content: "\f25d"; } .fa-creative-commons:before { content: "\f25e"; } .fa-gg:before { content: "\f260"; } .fa-gg-circle:before { content: "\f261"; } .fa-tripadvisor:before { content: "\f262"; } .fa-odnoklassniki:before { content: "\f263"; } .fa-odnoklassniki-square:before { content: "\f264"; } .fa-get-pocket:before { content: "\f265"; } .fa-wikipedia-w:before { content: "\f266"; } .fa-safari:before { content: "\f267"; } .fa-chrome:before { content: "\f268"; } .fa-firefox:before { content: "\f269"; } .fa-opera:before { content: "\f26a"; } .fa-internet-explorer:before { content: "\f26b"; } .fa-tv:before, .fa-television:before { content: "\f26c"; } .fa-contao:before { content: "\f26d"; } .fa-500px:before { content: "\f26e"; } .fa-amazon:before { content: "\f270"; } .fa-calendar-plus-o:before { content: "\f271"; } .fa-calendar-minus-o:before { content: "\f272"; } .fa-calendar-times-o:before { content: "\f273"; } .fa-calendar-check-o:before { content: "\f274"; } .fa-industry:before { content: "\f275"; } .fa-map-pin:before { content: "\f276"; } .fa-map-signs:before { content: "\f277"; } .fa-map-o:before { content: "\f278"; } .fa-map:before { content: "\f279"; } .fa-commenting:before { content: "\f27a"; } .fa-commenting-o:before { content: "\f27b"; } .fa-houzz:before { content: "\f27c"; } .fa-vimeo:before { content: "\f27d"; } .fa-black-tie:before { content: "\f27e"; } .fa-fonticons:before { content: "\f280"; } .fa-reddit-alien:before { content: "\f281"; } .fa-edge:before { content: "\f282"; } .fa-credit-card-alt:before { content: "\f283"; } .fa-codiepie:before { content: "\f284"; } .fa-modx:before { content: "\f285"; } .fa-fort-awesome:before { content: "\f286"; } .fa-usb:before { content: "\f287"; } .fa-product-hunt:before { content: "\f288"; } .fa-mixcloud:before { content: "\f289"; } .fa-scribd:before { content: "\f28a"; } .fa-pause-circle:before { content: "\f28b"; } .fa-pause-circle-o:before { content: "\f28c"; } .fa-stop-circle:before { content: "\f28d"; } .fa-stop-circle-o:before { content: "\f28e"; } .fa-shopping-bag:before { content: "\f290"; } .fa-shopping-basket:before { content: "\f291"; } .fa-hashtag:before { content: "\f292"; } .fa-bluetooth:before { content: "\f293"; } .fa-bluetooth-b:before { content: "\f294"; } .fa-percent:before { content: "\f295"; } .fa-gitlab:before { content: "\f296"; } .fa-wpbeginner:before { content: "\f297"; } .fa-wpforms:before { content: "\f298"; } .fa-envira:before { content: "\f299"; } .fa-universal-access:before { content: "\f29a"; } .fa-wheelchair-alt:before { content: "\f29b"; } .fa-question-circle-o:before { content: "\f29c"; } .fa-blind:before { content: "\f29d"; } .fa-audio-description:before { content: "\f29e"; } .fa-volume-control-phone:before { content: "\f2a0"; } .fa-braille:before { content: "\f2a1"; } .fa-assistive-listening-systems:before { content: "\f2a2"; } .fa-asl-interpreting:before, .fa-american-sign-language-interpreting:before { content: "\f2a3"; } .fa-deafness:before, .fa-hard-of-hearing:before, .fa-deaf:before { content: "\f2a4"; } .fa-glide:before { content: "\f2a5"; } .fa-glide-g:before { content: "\f2a6"; } .fa-signing:before, .fa-sign-language:before { content: "\f2a7"; } .fa-low-vision:before { content: "\f2a8"; } .fa-viadeo:before { content: "\f2a9"; } .fa-viadeo-square:before { content: "\f2aa"; } .fa-snapchat:before { content: "\f2ab"; } .fa-snapchat-ghost:before { content: "\f2ac"; } .fa-snapchat-square:before { content: "\f2ad"; } .fa-pied-piper:before { content: "\f2ae"; } .fa-first-order:before { content: "\f2b0"; } .fa-yoast:before { content: "\f2b1"; } .fa-themeisle:before { content: "\f2b2"; } .fa-google-plus-circle:before, .fa-google-plus-official:before { content: "\f2b3"; } .fa-fa:before, .fa-font-awesome:before { content: "\f2b4"; } .fa-handshake-o:before { content: "\f2b5"; } .fa-envelope-open:before { content: "\f2b6"; } .fa-envelope-open-o:before { content: "\f2b7"; } .fa-linode:before { content: "\f2b8"; } .fa-address-book:before { content: "\f2b9"; } .fa-address-book-o:before { content: "\f2ba"; } .fa-vcard:before, .fa-address-card:before { content: "\f2bb"; } .fa-vcard-o:before, .fa-address-card-o:before { content: "\f2bc"; } .fa-user-circle:before { content: "\f2bd"; } .fa-user-circle-o:before { content: "\f2be"; } .fa-user-o:before { content: "\f2c0"; } .fa-id-badge:before { content: "\f2c1"; } .fa-drivers-license:before, .fa-id-card:before { content: "\f2c2"; } .fa-drivers-license-o:before, .fa-id-card-o:before { content: "\f2c3"; } .fa-quora:before { content: "\f2c4"; } .fa-free-code-camp:before { content: "\f2c5"; } .fa-telegram:before { content: "\f2c6"; } .fa-thermometer-4:before, .fa-thermometer:before, .fa-thermometer-full:before { content: "\f2c7"; } .fa-thermometer-3:before, .fa-thermometer-three-quarters:before { content: "\f2c8"; } .fa-thermometer-2:before, .fa-thermometer-half:before { content: "\f2c9"; } .fa-thermometer-1:before, .fa-thermometer-quarter:before { content: "\f2ca"; } .fa-thermometer-0:before, .fa-thermometer-empty:before { content: "\f2cb"; } .fa-shower:before { content: "\f2cc"; } .fa-bathtub:before, .fa-s15:before, .fa-bath:before { content: "\f2cd"; } .fa-podcast:before { content: "\f2ce"; } .fa-window-maximize:before { content: "\f2d0"; } .fa-window-minimize:before { content: "\f2d1"; } .fa-window-restore:before { content: "\f2d2"; } .fa-times-rectangle:before, .fa-window-close:before { content: "\f2d3"; } .fa-times-rectangle-o:before, .fa-window-close-o:before { content: "\f2d4"; } .fa-bandcamp:before { content: "\f2d5"; } .fa-grav:before { content: "\f2d6"; } .fa-etsy:before { content: "\f2d7"; } .fa-imdb:before { content: "\f2d8"; } .fa-ravelry:before { content: "\f2d9"; } .fa-eercast:before { content: "\f2da"; } .fa-microchip:before { content: "\f2db"; } .fa-snowflake-o:before { content: "\f2dc"; } .fa-superpowers:before { content: "\f2dd"; } .fa-wpexplorer:before { content: "\f2de"; } .fa-meetup:before { content: "\f2e0"; } .sr-only { position: absolute; width: 1px; height: 1px; padding: 0; margin: -1px; overflow: hidden; clip: rect(0, 0, 0, 0); border: 0; } .sr-only-focusable:active, .sr-only-focusable:focus { position: static; width: auto; height: auto; margin: 0; overflow: visible; clip: auto; } .sr-only-focusable:active, .sr-only-focusable:focus { position: static; width: auto; height: auto; margin: 0; overflow: visible; clip: auto; } /*! * * IPython base * */ .modal.fade .modal-dialog { -webkit-transform: translate(0, 0); -ms-transform: translate(0, 0); -o-transform: translate(0, 0); transform: translate(0, 0); } code { color: #000; } pre { font-size: inherit; line-height: inherit; } label { font-weight: normal; } /* Make the page background atleast 100% the height of the view port */ /* Make the page itself atleast 70% the height of the view port */ .border-box-sizing { box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; } .corner-all { border-radius: 2px; } .no-padding { padding: 0px; } /* Flexible box model classes */ /* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */ /* This file is a compatability layer. It allows the usage of flexible box model layouts accross multiple browsers, including older browsers. The newest, universal implementation of the flexible box model is used when available (see `Modern browsers` comments below). Browsers that are known to implement this new spec completely include: Firefox 28.0+ Chrome 29.0+ Internet Explorer 11+ Opera 17.0+ Browsers not listed, including Safari, are supported via the styling under the `Old browsers` comments below. */ .hbox { /* Old browsers */ display: -webkit-box; -webkit-box-orient: horizontal; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: horizontal; -moz-box-align: stretch; display: box; box-orient: horizontal; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: row; align-items: stretch; } .hbox > * { /* Old browsers */ -webkit-box-flex: 0; -moz-box-flex: 0; box-flex: 0; /* Modern browsers */ flex: none; } .vbox { /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; } .vbox > * { /* Old browsers */ -webkit-box-flex: 0; -moz-box-flex: 0; box-flex: 0; /* Modern browsers */ flex: none; } .hbox.reverse, .vbox.reverse, .reverse { /* Old browsers */ -webkit-box-direction: reverse; -moz-box-direction: reverse; box-direction: reverse; /* Modern browsers */ flex-direction: row-reverse; } .hbox.box-flex0, .vbox.box-flex0, .box-flex0 { /* Old browsers */ -webkit-box-flex: 0; -moz-box-flex: 0; box-flex: 0; /* Modern browsers */ flex: none; width: auto; } .hbox.box-flex1, .vbox.box-flex1, .box-flex1 { /* Old browsers */ -webkit-box-flex: 1; -moz-box-flex: 1; box-flex: 1; /* Modern browsers */ flex: 1; } .hbox.box-flex, .vbox.box-flex, .box-flex { /* Old browsers */ /* Old browsers */ -webkit-box-flex: 1; -moz-box-flex: 1; box-flex: 1; /* Modern browsers */ flex: 1; } .hbox.box-flex2, .vbox.box-flex2, .box-flex2 { /* Old browsers */ -webkit-box-flex: 2; -moz-box-flex: 2; box-flex: 2; /* Modern browsers */ flex: 2; } .box-group1 { /* Deprecated */ -webkit-box-flex-group: 1; -moz-box-flex-group: 1; box-flex-group: 1; } .box-group2 { /* Deprecated */ -webkit-box-flex-group: 2; -moz-box-flex-group: 2; box-flex-group: 2; } .hbox.start, .vbox.start, .start { /* Old browsers */ -webkit-box-pack: start; -moz-box-pack: start; box-pack: start; /* Modern browsers */ justify-content: flex-start; } .hbox.end, .vbox.end, .end { /* Old browsers */ -webkit-box-pack: end; -moz-box-pack: end; box-pack: end; /* Modern browsers */ justify-content: flex-end; } .hbox.center, .vbox.center, .center { /* Old browsers */ -webkit-box-pack: center; -moz-box-pack: center; box-pack: center; /* Modern browsers */ justify-content: center; } .hbox.baseline, .vbox.baseline, .baseline { /* Old browsers */ -webkit-box-pack: baseline; -moz-box-pack: baseline; box-pack: baseline; /* Modern browsers */ justify-content: baseline; } .hbox.stretch, .vbox.stretch, .stretch { /* Old browsers */ -webkit-box-pack: stretch; -moz-box-pack: stretch; box-pack: stretch; /* Modern browsers */ justify-content: stretch; } .hbox.align-start, .vbox.align-start, .align-start { /* Old browsers */ -webkit-box-align: start; -moz-box-align: start; box-align: start; /* Modern browsers */ align-items: flex-start; } .hbox.align-end, .vbox.align-end, .align-end { /* Old browsers */ -webkit-box-align: end; -moz-box-align: end; box-align: end; /* Modern browsers */ align-items: flex-end; } .hbox.align-center, .vbox.align-center, .align-center { /* Old browsers */ -webkit-box-align: center; -moz-box-align: center; box-align: center; /* Modern browsers */ align-items: center; } .hbox.align-baseline, .vbox.align-baseline, .align-baseline { /* Old browsers */ -webkit-box-align: baseline; -moz-box-align: baseline; box-align: baseline; /* Modern browsers */ align-items: baseline; } .hbox.align-stretch, .vbox.align-stretch, .align-stretch { /* Old browsers */ -webkit-box-align: stretch; -moz-box-align: stretch; box-align: stretch; /* Modern browsers */ align-items: stretch; } div.error { margin: 2em; text-align: center; } div.error > h1 { font-size: 500%; line-height: normal; } div.error > p { font-size: 200%; line-height: normal; } div.traceback-wrapper { text-align: left; max-width: 800px; margin: auto; } div.traceback-wrapper pre.traceback { max-height: 600px; overflow: auto; } /** * Primary styles * * Author: Jupyter Development Team */ body { background-color: #fff; /* This makes sure that the body covers the entire window and needs to be in a different element than the display: box in wrapper below */ position: absolute; left: 0px; right: 0px; top: 0px; bottom: 0px; overflow: visible; } body > #header { /* Initially hidden to prevent FLOUC */ display: none; background-color: #fff; /* Display over codemirror */ position: relative; z-index: 100; } body > #header #header-container { display: flex; flex-direction: row; justify-content: space-between; padding: 5px; padding-bottom: 5px; padding-top: 5px; box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; } body > #header .header-bar { width: 100%; height: 1px; background: #e7e7e7; margin-bottom: -1px; } @media print { body > #header { display: none !important; } } #header-spacer { width: 100%; visibility: hidden; } @media print { #header-spacer { display: none; } } #ipython_notebook { padding-left: 0px; padding-top: 1px; padding-bottom: 1px; } [dir="rtl"] #ipython_notebook { margin-right: 10px; margin-left: 0; } [dir="rtl"] #ipython_notebook.pull-left { float: right !important; float: right; } .flex-spacer { flex: 1; } #noscript { width: auto; padding-top: 16px; padding-bottom: 16px; text-align: center; font-size: 22px; color: red; font-weight: bold; } #ipython_notebook img { height: 28px; } #site { width: 100%; display: none; box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; overflow: auto; } @media print { #site { height: auto !important; } } /* Smaller buttons */ .ui-button .ui-button-text { padding: 0.2em 0.8em; font-size: 77%; } input.ui-button { padding: 0.3em 0.9em; } span#kernel_logo_widget { margin: 0 10px; } span#login_widget { float: right; } [dir="rtl"] span#login_widget { float: left; } span#login_widget > .button, #logout { color: #333; background-color: #fff; border-color: #ccc; } span#login_widget > .button:focus, #logout:focus, span#login_widget > .button.focus, #logout.focus { color: #333; background-color: #e6e6e6; border-color: #8c8c8c; } span#login_widget > .button:hover, #logout:hover { color: #333; background-color: #e6e6e6; border-color: #adadad; } span#login_widget > .button:active, #logout:active, span#login_widget > .button.active, #logout.active, .open > .dropdown-togglespan#login_widget > .button, .open > .dropdown-toggle#logout { color: #333; background-color: #e6e6e6; border-color: #adadad; } span#login_widget > .button:active:hover, #logout:active:hover, span#login_widget > .button.active:hover, #logout.active:hover, .open > .dropdown-togglespan#login_widget > .button:hover, .open > .dropdown-toggle#logout:hover, span#login_widget > .button:active:focus, #logout:active:focus, span#login_widget > .button.active:focus, #logout.active:focus, .open > .dropdown-togglespan#login_widget > .button:focus, .open > .dropdown-toggle#logout:focus, span#login_widget > .button:active.focus, #logout:active.focus, span#login_widget > .button.active.focus, #logout.active.focus, .open > .dropdown-togglespan#login_widget > .button.focus, .open > .dropdown-toggle#logout.focus { color: #333; background-color: #d4d4d4; border-color: #8c8c8c; } span#login_widget > .button:active, #logout:active, span#login_widget > .button.active, #logout.active, .open > .dropdown-togglespan#login_widget > .button, .open > .dropdown-toggle#logout { background-image: none; } span#login_widget > .button.disabled:hover, #logout.disabled:hover, span#login_widget > .button[disabled]:hover, #logout[disabled]:hover, fieldset[disabled] span#login_widget > .button:hover, fieldset[disabled] #logout:hover, span#login_widget > .button.disabled:focus, #logout.disabled:focus, span#login_widget > .button[disabled]:focus, #logout[disabled]:focus, fieldset[disabled] span#login_widget > .button:focus, fieldset[disabled] #logout:focus, span#login_widget > .button.disabled.focus, #logout.disabled.focus, span#login_widget > .button[disabled].focus, #logout[disabled].focus, fieldset[disabled] span#login_widget > .button.focus, fieldset[disabled] #logout.focus { background-color: #fff; border-color: #ccc; } span#login_widget > .button .badge, #logout .badge { color: #fff; background-color: #333; } .nav-header { text-transform: none; } #header > span { margin-top: 10px; } .modal_stretch .modal-dialog { /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; min-height: 80vh; } .modal_stretch .modal-dialog .modal-body { max-height: calc(100vh - 200px); overflow: auto; flex: 1; } .modal-header { cursor: move; } @media (min-width: 768px) { .modal .modal-dialog { width: 700px; } } @media (min-width: 768px) { select.form-control { margin-left: 12px; margin-right: 12px; } } /*! * * IPython auth * */ .center-nav { display: inline-block; margin-bottom: -4px; } [dir="rtl"] .center-nav form.pull-left { float: right !important; float: right; } [dir="rtl"] .center-nav .navbar-text { float: right; } [dir="rtl"] .navbar-inner { text-align: right; } [dir="rtl"] div.text-left { text-align: right; } /*! * * IPython tree view * */ /* We need an invisible input field on top of the sentense*/ /* "Drag file onto the list ..." */ .alternate_upload { background-color: none; display: inline; } .alternate_upload.form { padding: 0; margin: 0; } .alternate_upload input.fileinput { position: absolute; display: block; width: 100%; height: 100%; overflow: hidden; cursor: pointer; opacity: 0; z-index: 2; } .alternate_upload .btn-xs > input.fileinput { margin: -1px -5px; } .alternate_upload .btn-upload { position: relative; height: 22px; } ::-webkit-file-upload-button { cursor: pointer; } /** * Primary styles * * Author: Jupyter Development Team */ ul#tabs { margin-bottom: 4px; } ul#tabs a { padding-top: 6px; padding-bottom: 4px; } [dir="rtl"] ul#tabs.nav-tabs > li { float: right; } [dir="rtl"] ul#tabs.nav.nav-tabs { padding-right: 0; } ul.breadcrumb a:focus, ul.breadcrumb a:hover { text-decoration: none; } ul.breadcrumb i.icon-home { font-size: 16px; margin-right: 4px; } ul.breadcrumb span { color: #5e5e5e; } .list_toolbar { padding: 4px 0 4px 0; vertical-align: middle; } .list_toolbar .tree-buttons { padding-top: 1px; } [dir="rtl"] .list_toolbar .tree-buttons .pull-right { float: left !important; float: left; } [dir="rtl"] .list_toolbar .col-sm-4, [dir="rtl"] .list_toolbar .col-sm-8 { float: right; } .dynamic-buttons { padding-top: 3px; display: inline-block; } .list_toolbar [class*="span"] { min-height: 24px; } .list_header { font-weight: bold; background-color: #EEE; } .list_placeholder { font-weight: bold; padding-top: 4px; padding-bottom: 4px; padding-left: 7px; padding-right: 7px; } .list_container { margin-top: 4px; margin-bottom: 20px; border: 1px solid #ddd; border-radius: 2px; } .list_container > div { border-bottom: 1px solid #ddd; } .list_container > div:hover .list-item { background-color: red; } .list_container > div:last-child { border: none; } .list_item:hover .list_item { background-color: #ddd; } .list_item a { text-decoration: none; } .list_item:hover { background-color: #fafafa; } .list_header > div, .list_item > div { padding-top: 4px; padding-bottom: 4px; padding-left: 7px; padding-right: 7px; line-height: 22px; } .list_header > div input, .list_item > div input { margin-right: 7px; margin-left: 14px; vertical-align: text-bottom; line-height: 22px; position: relative; top: -1px; } .list_header > div .item_link, .list_item > div .item_link { margin-left: -1px; vertical-align: baseline; line-height: 22px; } [dir="rtl"] .list_item > div input { margin-right: 0; } .new-file input[type=checkbox] { visibility: hidden; } .item_name { line-height: 22px; height: 24px; } .item_icon { font-size: 14px; color: #5e5e5e; margin-right: 7px; margin-left: 7px; line-height: 22px; vertical-align: baseline; } .item_modified { margin-right: 7px; margin-left: 7px; } [dir="rtl"] .item_modified.pull-right { float: left !important; float: left; } .item_buttons { line-height: 1em; margin-left: -5px; } .item_buttons .btn, .item_buttons .btn-group, .item_buttons .input-group { float: left; } .item_buttons > .btn, .item_buttons > .btn-group, .item_buttons > .input-group { margin-left: 5px; } .item_buttons .btn { min-width: 13ex; } .item_buttons .running-indicator { padding-top: 4px; color: #5cb85c; } .item_buttons .kernel-name { padding-top: 4px; color: #5bc0de; margin-right: 7px; float: left; } [dir="rtl"] .item_buttons.pull-right { float: left !important; float: left; } [dir="rtl"] .item_buttons .kernel-name { margin-left: 7px; float: right; } .toolbar_info { height: 24px; line-height: 24px; } .list_item input:not([type=checkbox]) { padding-top: 3px; padding-bottom: 3px; height: 22px; line-height: 14px; margin: 0px; } .highlight_text { color: blue; } #project_name { display: inline-block; padding-left: 7px; margin-left: -2px; } #project_name > .breadcrumb { padding: 0px; margin-bottom: 0px; background-color: transparent; font-weight: bold; } .sort_button { display: inline-block; padding-left: 7px; } [dir="rtl"] .sort_button.pull-right { float: left !important; float: left; } #tree-selector { padding-right: 0px; } #button-select-all { min-width: 50px; } [dir="rtl"] #button-select-all.btn { float: right ; } #select-all { margin-left: 7px; margin-right: 2px; margin-top: 2px; height: 16px; } [dir="rtl"] #select-all.pull-left { float: right !important; float: right; } .menu_icon { margin-right: 2px; } .tab-content .row { margin-left: 0px; margin-right: 0px; } .folder_icon:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f114"; } .folder_icon:before.fa-pull-left { margin-right: .3em; } .folder_icon:before.fa-pull-right { margin-left: .3em; } .folder_icon:before.pull-left { margin-right: .3em; } .folder_icon:before.pull-right { margin-left: .3em; } .notebook_icon:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f02d"; position: relative; top: -1px; } .notebook_icon:before.fa-pull-left { margin-right: .3em; } .notebook_icon:before.fa-pull-right { margin-left: .3em; } .notebook_icon:before.pull-left { margin-right: .3em; } .notebook_icon:before.pull-right { margin-left: .3em; } .running_notebook_icon:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f02d"; position: relative; top: -1px; color: #5cb85c; } .running_notebook_icon:before.fa-pull-left { margin-right: .3em; } .running_notebook_icon:before.fa-pull-right { margin-left: .3em; } .running_notebook_icon:before.pull-left { margin-right: .3em; } .running_notebook_icon:before.pull-right { margin-left: .3em; } .file_icon:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f016"; position: relative; top: -2px; } .file_icon:before.fa-pull-left { margin-right: .3em; } .file_icon:before.fa-pull-right { margin-left: .3em; } .file_icon:before.pull-left { margin-right: .3em; } .file_icon:before.pull-right { margin-left: .3em; } #notebook_toolbar .pull-right { padding-top: 0px; margin-right: -1px; } ul#new-menu { left: auto; right: 0; } #new-menu .dropdown-header { font-size: 10px; border-bottom: 1px solid #e5e5e5; padding: 0 0 3px; margin: -3px 20px 0; } .kernel-menu-icon { padding-right: 12px; width: 24px; content: "\f096"; } .kernel-menu-icon:before { content: "\f096"; } .kernel-menu-icon-current:before { content: "\f00c"; } #tab_content { padding-top: 20px; } #running .panel-group .panel { margin-top: 3px; margin-bottom: 1em; } #running .panel-group .panel .panel-heading { background-color: #EEE; padding-top: 4px; padding-bottom: 4px; padding-left: 7px; padding-right: 7px; line-height: 22px; } #running .panel-group .panel .panel-heading a:focus, #running .panel-group .panel .panel-heading a:hover { text-decoration: none; } #running .panel-group .panel .panel-body { padding: 0px; } #running .panel-group .panel .panel-body .list_container { margin-top: 0px; margin-bottom: 0px; border: 0px; border-radius: 0px; } #running .panel-group .panel .panel-body .list_container .list_item { border-bottom: 1px solid #ddd; } #running .panel-group .panel .panel-body .list_container .list_item:last-child { border-bottom: 0px; } .delete-button { display: none; } .duplicate-button { display: none; } .rename-button { display: none; } .move-button { display: none; } .download-button { display: none; } .shutdown-button { display: none; } .dynamic-instructions { display: inline-block; padding-top: 4px; } /*! * * IPython text editor webapp * */ .selected-keymap i.fa { padding: 0px 5px; } .selected-keymap i.fa:before { content: "\f00c"; } #mode-menu { overflow: auto; max-height: 20em; } .edit_app #header { -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); } .edit_app #menubar .navbar { /* Use a negative 1 bottom margin, so the border overlaps the border of the header */ margin-bottom: -1px; } .dirty-indicator { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; width: 20px; } .dirty-indicator.fa-pull-left { margin-right: .3em; } .dirty-indicator.fa-pull-right { margin-left: .3em; } .dirty-indicator.pull-left { margin-right: .3em; } .dirty-indicator.pull-right { margin-left: .3em; } .dirty-indicator-dirty { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; width: 20px; } .dirty-indicator-dirty.fa-pull-left { margin-right: .3em; } .dirty-indicator-dirty.fa-pull-right { margin-left: .3em; } .dirty-indicator-dirty.pull-left { margin-right: .3em; } .dirty-indicator-dirty.pull-right { margin-left: .3em; } .dirty-indicator-clean { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; width: 20px; } .dirty-indicator-clean.fa-pull-left { margin-right: .3em; } .dirty-indicator-clean.fa-pull-right { margin-left: .3em; } .dirty-indicator-clean.pull-left { margin-right: .3em; } .dirty-indicator-clean.pull-right { margin-left: .3em; } .dirty-indicator-clean:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f00c"; } .dirty-indicator-clean:before.fa-pull-left { margin-right: .3em; } .dirty-indicator-clean:before.fa-pull-right { margin-left: .3em; } .dirty-indicator-clean:before.pull-left { margin-right: .3em; } .dirty-indicator-clean:before.pull-right { margin-left: .3em; } #filename { font-size: 16pt; display: table; padding: 0px 5px; } #current-mode { padding-left: 5px; padding-right: 5px; } #texteditor-backdrop { padding-top: 20px; padding-bottom: 20px; } @media not print { #texteditor-backdrop { background-color: #EEE; } } @media print { #texteditor-backdrop #texteditor-container .CodeMirror-gutter, #texteditor-backdrop #texteditor-container .CodeMirror-gutters { background-color: #fff; } } @media not print { #texteditor-backdrop #texteditor-container .CodeMirror-gutter, #texteditor-backdrop #texteditor-container .CodeMirror-gutters { background-color: #fff; } } @media not print { #texteditor-backdrop #texteditor-container { padding: 0px; background-color: #fff; -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); } } .CodeMirror-dialog { background-color: #fff; } /*! * * IPython notebook * */ /* CSS font colors for translated ANSI escape sequences */ /* The color values are a mix of http://www.xcolors.net/dl/baskerville-ivorylight and http://www.xcolors.net/dl/euphrasia */ .ansi-black-fg { color: #3E424D; } .ansi-black-bg { background-color: #3E424D; } .ansi-black-intense-fg { color: #282C36; } .ansi-black-intense-bg { background-color: #282C36; } .ansi-red-fg { color: #E75C58; } .ansi-red-bg { background-color: #E75C58; } .ansi-red-intense-fg { color: #B22B31; } .ansi-red-intense-bg { background-color: #B22B31; } .ansi-green-fg { color: #00A250; } .ansi-green-bg { background-color: #00A250; } .ansi-green-intense-fg { color: #007427; } .ansi-green-intense-bg { background-color: #007427; } .ansi-yellow-fg { color: #DDB62B; } .ansi-yellow-bg { background-color: #DDB62B; } .ansi-yellow-intense-fg { color: #B27D12; } .ansi-yellow-intense-bg { background-color: #B27D12; } .ansi-blue-fg { color: #208FFB; } .ansi-blue-bg { background-color: #208FFB; } .ansi-blue-intense-fg { color: #0065CA; } .ansi-blue-intense-bg { background-color: #0065CA; } .ansi-magenta-fg { color: #D160C4; } .ansi-magenta-bg { background-color: #D160C4; } .ansi-magenta-intense-fg { color: #A03196; } .ansi-magenta-intense-bg { background-color: #A03196; } .ansi-cyan-fg { color: #60C6C8; } .ansi-cyan-bg { background-color: #60C6C8; } .ansi-cyan-intense-fg { color: #258F8F; } .ansi-cyan-intense-bg { background-color: #258F8F; } .ansi-white-fg { color: #C5C1B4; } .ansi-white-bg { background-color: #C5C1B4; } .ansi-white-intense-fg { color: #A1A6B2; } .ansi-white-intense-bg { background-color: #A1A6B2; } .ansi-default-inverse-fg { color: #FFFFFF; } .ansi-default-inverse-bg { background-color: #000000; } .ansi-bold { font-weight: bold; } .ansi-underline { text-decoration: underline; } /* The following styles are deprecated an will be removed in a future version */ .ansibold { font-weight: bold; } .ansi-inverse { outline: 0.5px dotted; } /* use dark versions for foreground, to improve visibility */ .ansiblack { color: black; } .ansired { color: darkred; } .ansigreen { color: darkgreen; } .ansiyellow { color: #c4a000; } .ansiblue { color: darkblue; } .ansipurple { color: darkviolet; } .ansicyan { color: steelblue; } .ansigray { color: gray; } /* and light for background, for the same reason */ .ansibgblack { background-color: black; } .ansibgred { background-color: red; } .ansibggreen { background-color: green; } .ansibgyellow { background-color: yellow; } .ansibgblue { background-color: blue; } .ansibgpurple { background-color: magenta; } .ansibgcyan { background-color: cyan; } .ansibggray { background-color: gray; } div.cell { /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; border-radius: 2px; box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; border-width: 1px; border-style: solid; border-color: transparent; width: 100%; padding: 5px; /* This acts as a spacer between cells, that is outside the border */ margin: 0px; outline: none; position: relative; overflow: visible; } div.cell:before { position: absolute; display: block; top: -1px; left: -1px; width: 5px; height: calc(100% + 2px); content: ''; background: transparent; } div.cell.jupyter-soft-selected { border-left-color: #E3F2FD; border-left-width: 1px; padding-left: 5px; border-right-color: #E3F2FD; border-right-width: 1px; background: #E3F2FD; } @media print { div.cell.jupyter-soft-selected { border-color: transparent; } } div.cell.selected, div.cell.selected.jupyter-soft-selected { border-color: #ababab; } div.cell.selected:before, div.cell.selected.jupyter-soft-selected:before { position: absolute; display: block; top: -1px; left: -1px; width: 5px; height: calc(100% + 2px); content: ''; background: #42A5F5; } @media print { div.cell.selected, div.cell.selected.jupyter-soft-selected { border-color: transparent; } } .edit_mode div.cell.selected { border-color: #66BB6A; } .edit_mode div.cell.selected:before { position: absolute; display: block; top: -1px; left: -1px; width: 5px; height: calc(100% + 2px); content: ''; background: #66BB6A; } @media print { .edit_mode div.cell.selected { border-color: transparent; } } .prompt { /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */ min-width: 14ex; /* This padding is tuned to match the padding on the CodeMirror editor. */ padding: 0.4em; margin: 0px; font-family: monospace; text-align: right; /* This has to match that of the the CodeMirror class line-height below */ line-height: 1.21429em; /* Don't highlight prompt number selection */ -webkit-touch-callout: none; -webkit-user-select: none; -khtml-user-select: none; -moz-user-select: none; -ms-user-select: none; user-select: none; /* Use default cursor */ cursor: default; } @media (max-width: 540px) { .prompt { text-align: left; } } div.inner_cell { min-width: 0; /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; /* Old browsers */ -webkit-box-flex: 1; -moz-box-flex: 1; box-flex: 1; /* Modern browsers */ flex: 1; } /* input_area and input_prompt must match in top border and margin for alignment */ div.input_area { border: 1px solid #cfcfcf; border-radius: 2px; background: #f7f7f7; line-height: 1.21429em; } /* This is needed so that empty prompt areas can collapse to zero height when there is no content in the output_subarea and the prompt. The main purpose of this is to make sure that empty JavaScript output_subareas have no height. */ div.prompt:empty { padding-top: 0; padding-bottom: 0; } div.unrecognized_cell { padding: 5px 5px 5px 0px; /* Old browsers */ display: -webkit-box; -webkit-box-orient: horizontal; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: horizontal; -moz-box-align: stretch; display: box; box-orient: horizontal; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: row; align-items: stretch; } div.unrecognized_cell .inner_cell { border-radius: 2px; padding: 5px; font-weight: bold; color: red; border: 1px solid #cfcfcf; background: #eaeaea; } div.unrecognized_cell .inner_cell a { color: inherit; text-decoration: none; } div.unrecognized_cell .inner_cell a:hover { color: inherit; text-decoration: none; } @media (max-width: 540px) { div.unrecognized_cell > div.prompt { display: none; } } div.code_cell { /* avoid page breaking on code cells when printing */ } @media print { div.code_cell { page-break-inside: avoid; } } /* any special styling for code cells that are currently running goes here */ div.input { page-break-inside: avoid; /* Old browsers */ display: -webkit-box; -webkit-box-orient: horizontal; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: horizontal; -moz-box-align: stretch; display: box; box-orient: horizontal; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: row; align-items: stretch; } @media (max-width: 540px) { div.input { /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; } } /* input_area and input_prompt must match in top border and margin for alignment */ div.input_prompt { color: #303F9F; border-top: 1px solid transparent; } div.input_area > div.highlight { margin: 0.4em; border: none; padding: 0px; background-color: transparent; } div.input_area > div.highlight > pre { margin: 0px; border: none; padding: 0px; background-color: transparent; } /* The following gets added to the <head> if it is detected that the user has a * monospace font with inconsistent normal/bold/italic height. See * notebookmain.js. Such fonts will have keywords vertically offset with * respect to the rest of the text. The user should select a better font. * See: https://github.com/ipython/ipython/issues/1503 * * .CodeMirror span { * vertical-align: bottom; * } */ .CodeMirror { line-height: 1.21429em; /* Changed from 1em to our global default */ font-size: 14px; height: auto; /* Changed to auto to autogrow */ background: none; /* Changed from white to allow our bg to show through */ } .CodeMirror-scroll { /* The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/ /* We have found that if it is visible, vertical scrollbars appear with font size changes.*/ overflow-y: hidden; overflow-x: auto; } .CodeMirror-lines { /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */ /* we have set a different line-height and want this to scale with that. */ /* Note that this should set vertical padding only, since CodeMirror assumes that horizontal padding will be set on CodeMirror pre */ padding: 0.4em 0; } .CodeMirror-linenumber { padding: 0 8px 0 4px; } .CodeMirror-gutters { border-bottom-left-radius: 2px; border-top-left-radius: 2px; } .CodeMirror pre { /* In CM3 this went to 4px from 0 in CM2. This sets horizontal padding only, use .CodeMirror-lines for vertical */ padding: 0 0.4em; border: 0; border-radius: 0; } .CodeMirror-cursor { border-left: 1.4px solid black; } @media screen and (min-width: 2138px) and (max-width: 4319px) { .CodeMirror-cursor { border-left: 2px solid black; } } @media screen and (min-width: 4320px) { .CodeMirror-cursor { border-left: 4px solid black; } } /* Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org> Adapted from GitHub theme */ .highlight-base { color: #000; } .highlight-variable { color: #000; } .highlight-variable-2 { color: #1a1a1a; } .highlight-variable-3 { color: #333333; } .highlight-string { color: #BA2121; } .highlight-comment { color: #408080; font-style: italic; } .highlight-number { color: #080; } .highlight-atom { color: #88F; } .highlight-keyword { color: #008000; font-weight: bold; } .highlight-builtin { color: #008000; } .highlight-error { color: #f00; } .highlight-operator { color: #AA22FF; font-weight: bold; } .highlight-meta { color: #AA22FF; } /* previously not defined, copying from default codemirror */ .highlight-def { color: #00f; } .highlight-string-2 { color: #f50; } .highlight-qualifier { color: #555; } .highlight-bracket { color: #997; } .highlight-tag { color: #170; } .highlight-attribute { color: #00c; } .highlight-header { color: blue; } .highlight-quote { color: #090; } .highlight-link { color: #00c; } /* apply the same style to codemirror */ .cm-s-ipython span.cm-keyword { color: #008000; font-weight: bold; } .cm-s-ipython span.cm-atom { color: #88F; } .cm-s-ipython span.cm-number { color: #080; } .cm-s-ipython span.cm-def { color: #00f; } .cm-s-ipython span.cm-variable { color: #000; } .cm-s-ipython span.cm-operator { color: #AA22FF; font-weight: bold; } .cm-s-ipython span.cm-variable-2 { color: #1a1a1a; } .cm-s-ipython span.cm-variable-3 { color: #333333; } .cm-s-ipython span.cm-comment { color: #408080; font-style: italic; } .cm-s-ipython span.cm-string { color: #BA2121; } .cm-s-ipython span.cm-string-2 { color: #f50; } .cm-s-ipython span.cm-meta { color: #AA22FF; } .cm-s-ipython span.cm-qualifier { color: #555; } .cm-s-ipython span.cm-builtin { color: #008000; } .cm-s-ipython span.cm-bracket { color: #997; } .cm-s-ipython span.cm-tag { color: #170; } .cm-s-ipython span.cm-attribute { color: #00c; } .cm-s-ipython span.cm-header { color: blue; } .cm-s-ipython span.cm-quote { color: #090; } .cm-s-ipython span.cm-link { color: #00c; } .cm-s-ipython span.cm-error { color: #f00; } .cm-s-ipython span.cm-tab { background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=); background-position: right; background-repeat: no-repeat; } div.output_wrapper { /* this position must be relative to enable descendents to be absolute within it */ position: relative; /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; z-index: 1; } /* class for the output area when it should be height-limited */ div.output_scroll { /* ideally, this would be max-height, but FF barfs all over that */ height: 24em; /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */ width: 100%; overflow: auto; border-radius: 2px; -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8); box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8); display: block; } /* output div while it is collapsed */ div.output_collapsed { margin: 0px; padding: 0px; /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; } div.out_prompt_overlay { height: 100%; padding: 0px 0.4em; position: absolute; border-radius: 2px; } div.out_prompt_overlay:hover { /* use inner shadow to get border that is computed the same on WebKit/FF */ -webkit-box-shadow: inset 0 0 1px #000; box-shadow: inset 0 0 1px #000; background: rgba(240, 240, 240, 0.5); } div.output_prompt { color: #D84315; } /* This class is the outer container of all output sections. */ div.output_area { padding: 0px; page-break-inside: avoid; /* Old browsers */ display: -webkit-box; -webkit-box-orient: horizontal; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: horizontal; -moz-box-align: stretch; display: box; box-orient: horizontal; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: row; align-items: stretch; } div.output_area .MathJax_Display { text-align: left !important; } div.output_area .rendered_html table { margin-left: 0; margin-right: 0; } div.output_area .rendered_html img { margin-left: 0; margin-right: 0; } div.output_area img, div.output_area svg { max-width: 100%; height: auto; } div.output_area img.unconfined, div.output_area svg.unconfined { max-width: none; } div.output_area .mglyph > img { max-width: none; } /* This is needed to protect the pre formating from global settings such as that of bootstrap */ .output { /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; } @media (max-width: 540px) { div.output_area { /* Old browsers */ display: -webkit-box; -webkit-box-orient: vertical; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: vertical; -moz-box-align: stretch; display: box; box-orient: vertical; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: column; align-items: stretch; } } div.output_area pre { margin: 0; padding: 1px 0 1px 0; border: 0; vertical-align: baseline; color: black; background-color: transparent; border-radius: 0; } /* This class is for the output subarea inside the output_area and after the prompt div. */ div.output_subarea { overflow-x: auto; padding: 0.4em; /* Old browsers */ -webkit-box-flex: 1; -moz-box-flex: 1; box-flex: 1; /* Modern browsers */ flex: 1; max-width: calc(100% - 14ex); } div.output_scroll div.output_subarea { overflow-x: visible; } /* The rest of the output_* classes are for special styling of the different output types */ /* all text output has this class: */ div.output_text { text-align: left; color: #000; /* This has to match that of the the CodeMirror class line-height below */ line-height: 1.21429em; } /* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */ div.output_stderr { background: #fdd; /* very light red background for stderr */ } div.output_latex { text-align: left; } /* Empty output_javascript divs should have no height */ div.output_javascript:empty { padding: 0; } .js-error { color: darkred; } /* raw_input styles */ div.raw_input_container { line-height: 1.21429em; padding-top: 5px; } pre.raw_input_prompt { /* nothing needed here. */ } input.raw_input { font-family: monospace; font-size: inherit; color: inherit; width: auto; /* make sure input baseline aligns with prompt */ vertical-align: baseline; /* padding + margin = 0.5em between prompt and cursor */ padding: 0em 0.25em; margin: 0em 0.25em; } input.raw_input:focus { box-shadow: none; } p.p-space { margin-bottom: 10px; } div.output_unrecognized { padding: 5px; font-weight: bold; color: red; } div.output_unrecognized a { color: inherit; text-decoration: none; } div.output_unrecognized a:hover { color: inherit; text-decoration: none; } .rendered_html { color: #000; /* any extras will just be numbers: */ } .rendered_html em { font-style: italic; } .rendered_html strong { font-weight: bold; } .rendered_html u { text-decoration: underline; } .rendered_html :link { text-decoration: underline; } .rendered_html :visited { text-decoration: underline; } .rendered_html h1 { font-size: 185.7%; margin: 1.08em 0 0 0; font-weight: bold; line-height: 1.0; } .rendered_html h2 { font-size: 157.1%; margin: 1.27em 0 0 0; font-weight: bold; line-height: 1.0; } .rendered_html h3 { font-size: 128.6%; margin: 1.55em 0 0 0; font-weight: bold; line-height: 1.0; } .rendered_html h4 { font-size: 100%; margin: 2em 0 0 0; font-weight: bold; line-height: 1.0; } .rendered_html h5 { font-size: 100%; margin: 2em 0 0 0; font-weight: bold; line-height: 1.0; font-style: italic; } .rendered_html h6 { font-size: 100%; margin: 2em 0 0 0; font-weight: bold; line-height: 1.0; font-style: italic; } .rendered_html h1:first-child { margin-top: 0.538em; } .rendered_html h2:first-child { margin-top: 0.636em; } .rendered_html h3:first-child { margin-top: 0.777em; } .rendered_html h4:first-child { margin-top: 1em; } .rendered_html h5:first-child { margin-top: 1em; } .rendered_html h6:first-child { margin-top: 1em; } .rendered_html ul:not(.list-inline), .rendered_html ol:not(.list-inline) { padding-left: 2em; } .rendered_html ul { list-style: disc; } .rendered_html ul ul { list-style: square; margin-top: 0; } .rendered_html ul ul ul { list-style: circle; } .rendered_html ol { list-style: decimal; } .rendered_html ol ol { list-style: upper-alpha; margin-top: 0; } .rendered_html ol ol ol { list-style: lower-alpha; } .rendered_html ol ol ol ol { list-style: lower-roman; } .rendered_html ol ol ol ol ol { list-style: decimal; } .rendered_html * + ul { margin-top: 1em; } .rendered_html * + ol { margin-top: 1em; } .rendered_html hr { color: black; background-color: black; } .rendered_html pre { margin: 1em 2em; padding: 0px; background-color: #fff; } .rendered_html code { background-color: #eff0f1; } .rendered_html p code { padding: 1px 5px; } .rendered_html pre code { background-color: #fff; } .rendered_html pre, .rendered_html code { border: 0; color: #000; font-size: 100%; } .rendered_html blockquote { margin: 1em 2em; } .rendered_html table { margin-left: auto; margin-right: auto; border: none; border-collapse: collapse; border-spacing: 0; color: black; font-size: 12px; table-layout: fixed; } .rendered_html thead { border-bottom: 1px solid black; vertical-align: bottom; } .rendered_html tr, .rendered_html th, .rendered_html td { text-align: right; vertical-align: middle; padding: 0.5em 0.5em; line-height: normal; white-space: normal; max-width: none; border: none; } .rendered_html th { font-weight: bold; } .rendered_html tbody tr:nth-child(odd) { background: #f5f5f5; } .rendered_html tbody tr:hover { background: rgba(66, 165, 245, 0.2); } .rendered_html * + table { margin-top: 1em; } .rendered_html p { text-align: left; } .rendered_html * + p { margin-top: 1em; } .rendered_html img { display: block; margin-left: auto; margin-right: auto; } .rendered_html * + img { margin-top: 1em; } .rendered_html img, .rendered_html svg { max-width: 100%; height: auto; } .rendered_html img.unconfined, .rendered_html svg.unconfined { max-width: none; } .rendered_html .alert { margin-bottom: initial; } .rendered_html * + .alert { margin-top: 1em; } [dir="rtl"] .rendered_html p { text-align: right; } div.text_cell { /* Old browsers */ display: -webkit-box; -webkit-box-orient: horizontal; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: horizontal; -moz-box-align: stretch; display: box; box-orient: horizontal; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: row; align-items: stretch; } @media (max-width: 540px) { div.text_cell > div.prompt { display: none; } } div.text_cell_render { /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/ outline: none; resize: none; width: inherit; border-style: none; padding: 0.5em 0.5em 0.5em 0.4em; color: #000; box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; } a.anchor-link:link { text-decoration: none; padding: 0px 20px; visibility: hidden; } h1:hover .anchor-link, h2:hover .anchor-link, h3:hover .anchor-link, h4:hover .anchor-link, h5:hover .anchor-link, h6:hover .anchor-link { visibility: visible; } .text_cell.rendered .input_area { display: none; } .text_cell.rendered .rendered_html { overflow-x: auto; overflow-y: hidden; } .text_cell.rendered .rendered_html tr, .text_cell.rendered .rendered_html th, .text_cell.rendered .rendered_html td { max-width: none; } .text_cell.unrendered .text_cell_render { display: none; } .text_cell .dropzone .input_area { border: 2px dashed #bababa; margin: -1px; } .cm-header-1, .cm-header-2, .cm-header-3, .cm-header-4, .cm-header-5, .cm-header-6 { font-weight: bold; font-family: "Helvetica Neue", Helvetica, Arial, sans-serif; } .cm-header-1 { font-size: 185.7%; } .cm-header-2 { font-size: 157.1%; } .cm-header-3 { font-size: 128.6%; } .cm-header-4 { font-size: 110%; } .cm-header-5 { font-size: 100%; font-style: italic; } .cm-header-6 { font-size: 100%; font-style: italic; } /*! * * IPython notebook webapp * */ @media (max-width: 767px) { .notebook_app { padding-left: 0px; padding-right: 0px; } } #ipython-main-app { box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; height: 100%; } div#notebook_panel { margin: 0px; padding: 0px; box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; height: 100%; } div#notebook { font-size: 14px; line-height: 20px; overflow-y: hidden; overflow-x: auto; width: 100%; /* This spaces the page away from the edge of the notebook area */ padding-top: 20px; margin: 0px; outline: none; box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; min-height: 100%; } @media not print { #notebook-container { padding: 15px; background-color: #fff; min-height: 0; -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); } } @media print { #notebook-container { width: 100%; } } div.ui-widget-content { border: 1px solid #ababab; outline: none; } pre.dialog { background-color: #f7f7f7; border: 1px solid #ddd; border-radius: 2px; padding: 0.4em; padding-left: 2em; } p.dialog { padding: 0.2em; } /* Word-wrap output correctly. This is the CSS3 spelling, though Firefox seems to not honor it correctly. Webkit browsers (Chrome, rekonq, Safari) do. */ pre, code, kbd, samp { white-space: pre-wrap; } #fonttest { font-family: monospace; } p { margin-bottom: 0; } .end_space { min-height: 100px; transition: height .2s ease; } .notebook_app > #header { -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); } @media not print { .notebook_app { background-color: #EEE; } } kbd { border-style: solid; border-width: 1px; box-shadow: none; margin: 2px; padding-left: 2px; padding-right: 2px; padding-top: 1px; padding-bottom: 1px; } .jupyter-keybindings { padding: 1px; line-height: 24px; border-bottom: 1px solid gray; } .jupyter-keybindings input { margin: 0; padding: 0; border: none; } .jupyter-keybindings i { padding: 6px; } .well code { background-color: #ffffff; border-color: #ababab; border-width: 1px; border-style: solid; padding: 2px; padding-top: 1px; padding-bottom: 1px; } /* CSS for the cell toolbar */ .celltoolbar { border: thin solid #CFCFCF; border-bottom: none; background: #EEE; border-radius: 2px 2px 0px 0px; width: 100%; height: 29px; padding-right: 4px; /* Old browsers */ display: -webkit-box; -webkit-box-orient: horizontal; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: horizontal; -moz-box-align: stretch; display: box; box-orient: horizontal; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: row; align-items: stretch; /* Old browsers */ -webkit-box-pack: end; -moz-box-pack: end; box-pack: end; /* Modern browsers */ justify-content: flex-end; display: -webkit-flex; } @media print { .celltoolbar { display: none; } } .ctb_hideshow { display: none; vertical-align: bottom; } /* ctb_show is added to the ctb_hideshow div to show the cell toolbar. Cell toolbars are only shown when the ctb_global_show class is also set. */ .ctb_global_show .ctb_show.ctb_hideshow { display: block; } .ctb_global_show .ctb_show + .input_area, .ctb_global_show .ctb_show + div.text_cell_input, .ctb_global_show .ctb_show ~ div.text_cell_render { border-top-right-radius: 0px; border-top-left-radius: 0px; } .ctb_global_show .ctb_show ~ div.text_cell_render { border: 1px solid #cfcfcf; } .celltoolbar { font-size: 87%; padding-top: 3px; } .celltoolbar select { display: block; width: 100%; height: 32px; padding: 6px 12px; font-size: 13px; line-height: 1.42857143; color: #555555; background-color: #fff; background-image: none; border: 1px solid #ccc; border-radius: 2px; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; height: 30px; padding: 5px 10px; font-size: 12px; line-height: 1.5; border-radius: 1px; width: inherit; font-size: inherit; height: 22px; padding: 0px; display: inline-block; } .celltoolbar select:focus { border-color: #66afe9; outline: 0; -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6); box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6); } .celltoolbar select::-moz-placeholder { color: #999; opacity: 1; } .celltoolbar select:-ms-input-placeholder { color: #999; } .celltoolbar select::-webkit-input-placeholder { color: #999; } .celltoolbar select::-ms-expand { border: 0; background-color: transparent; } .celltoolbar select[disabled], .celltoolbar select[readonly], fieldset[disabled] .celltoolbar select { background-color: #eeeeee; opacity: 1; } .celltoolbar select[disabled], fieldset[disabled] .celltoolbar select { cursor: not-allowed; } textarea.celltoolbar select { height: auto; } select.celltoolbar select { height: 30px; line-height: 30px; } textarea.celltoolbar select, select[multiple].celltoolbar select { height: auto; } .celltoolbar label { margin-left: 5px; margin-right: 5px; } .tags_button_container { width: 100%; display: flex; } .tag-container { display: flex; flex-direction: row; flex-grow: 1; overflow: hidden; position: relative; } .tag-container > * { margin: 0 4px; } .remove-tag-btn { margin-left: 4px; } .tags-input { display: flex; } .cell-tag:last-child:after { content: ""; position: absolute; right: 0; width: 40px; height: 100%; /* Fade to background color of cell toolbar */ background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE); } .tags-input > * { margin-left: 4px; } .cell-tag, .tags-input input, .tags-input button { display: block; width: 100%; height: 32px; padding: 6px 12px; font-size: 13px; line-height: 1.42857143; color: #555555; background-color: #fff; background-image: none; border: 1px solid #ccc; border-radius: 2px; -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075); -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s; height: 30px; padding: 5px 10px; font-size: 12px; line-height: 1.5; border-radius: 1px; box-shadow: none; width: inherit; font-size: inherit; height: 22px; line-height: 22px; padding: 0px 4px; display: inline-block; } .cell-tag:focus, .tags-input input:focus, .tags-input button:focus { border-color: #66afe9; outline: 0; -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6); box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6); } .cell-tag::-moz-placeholder, .tags-input input::-moz-placeholder, .tags-input button::-moz-placeholder { color: #999; opacity: 1; } .cell-tag:-ms-input-placeholder, .tags-input input:-ms-input-placeholder, .tags-input button:-ms-input-placeholder { color: #999; } .cell-tag::-webkit-input-placeholder, .tags-input input::-webkit-input-placeholder, .tags-input button::-webkit-input-placeholder { color: #999; } .cell-tag::-ms-expand, .tags-input input::-ms-expand, .tags-input button::-ms-expand { border: 0; background-color: transparent; } .cell-tag[disabled], .tags-input input[disabled], .tags-input button[disabled], .cell-tag[readonly], .tags-input input[readonly], .tags-input button[readonly], fieldset[disabled] .cell-tag, fieldset[disabled] .tags-input input, fieldset[disabled] .tags-input button { background-color: #eeeeee; opacity: 1; } .cell-tag[disabled], .tags-input input[disabled], .tags-input button[disabled], fieldset[disabled] .cell-tag, fieldset[disabled] .tags-input input, fieldset[disabled] .tags-input button { cursor: not-allowed; } textarea.cell-tag, textarea.tags-input input, textarea.tags-input button { height: auto; } select.cell-tag, select.tags-input input, select.tags-input button { height: 30px; line-height: 30px; } textarea.cell-tag, textarea.tags-input input, textarea.tags-input button, select[multiple].cell-tag, select[multiple].tags-input input, select[multiple].tags-input button { height: auto; } .cell-tag, .tags-input button { padding: 0px 4px; } .cell-tag { background-color: #fff; white-space: nowrap; } .tags-input input[type=text]:focus { outline: none; box-shadow: none; border-color: #ccc; } .completions { position: absolute; z-index: 110; overflow: hidden; border: 1px solid #ababab; border-radius: 2px; -webkit-box-shadow: 0px 6px 10px -1px #adadad; box-shadow: 0px 6px 10px -1px #adadad; line-height: 1; } .completions select { background: white; outline: none; border: none; padding: 0px; margin: 0px; overflow: auto; font-family: monospace; font-size: 110%; color: #000; width: auto; } .completions select option.context { color: #286090; } #kernel_logo_widget .current_kernel_logo { display: none; margin-top: -1px; margin-bottom: -1px; width: 32px; height: 32px; } [dir="rtl"] #kernel_logo_widget { float: left !important; float: left; } .modal .modal-body .move-path { display: flex; flex-direction: row; justify-content: space; align-items: center; } .modal .modal-body .move-path .server-root { padding-right: 20px; } .modal .modal-body .move-path .path-input { flex: 1; } #menubar { box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; margin-top: 1px; } #menubar .navbar { border-top: 1px; border-radius: 0px 0px 2px 2px; margin-bottom: 0px; } #menubar .navbar-toggle { float: left; padding-top: 7px; padding-bottom: 7px; border: none; } #menubar .navbar-collapse { clear: left; } [dir="rtl"] #menubar .navbar-toggle { float: right; } [dir="rtl"] #menubar .navbar-collapse { clear: right; } [dir="rtl"] #menubar .navbar-nav { float: right; } [dir="rtl"] #menubar .nav { padding-right: 0px; } [dir="rtl"] #menubar .navbar-nav > li { float: right; } [dir="rtl"] #menubar .navbar-right { float: left !important; } [dir="rtl"] ul.dropdown-menu { text-align: right; left: auto; } [dir="rtl"] ul#new-menu.dropdown-menu { right: auto; left: 0; } .nav-wrapper { border-bottom: 1px solid #e7e7e7; } i.menu-icon { padding-top: 4px; } [dir="rtl"] i.menu-icon.pull-right { float: left !important; float: left; } ul#help_menu li a { overflow: hidden; padding-right: 2.2em; } ul#help_menu li a i { margin-right: -1.2em; } [dir="rtl"] ul#help_menu li a { padding-left: 2.2em; } [dir="rtl"] ul#help_menu li a i { margin-right: 0; margin-left: -1.2em; } [dir="rtl"] ul#help_menu li a i.pull-right { float: left !important; float: left; } .dropdown-submenu { position: relative; } .dropdown-submenu > .dropdown-menu { top: 0; left: 100%; margin-top: -6px; margin-left: -1px; } [dir="rtl"] .dropdown-submenu > .dropdown-menu { right: 100%; margin-right: -1px; } .dropdown-submenu:hover > .dropdown-menu { display: block; } .dropdown-submenu > a:after { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; display: block; content: "\f0da"; float: right; color: #333333; margin-top: 2px; margin-right: -10px; } .dropdown-submenu > a:after.fa-pull-left { margin-right: .3em; } .dropdown-submenu > a:after.fa-pull-right { margin-left: .3em; } .dropdown-submenu > a:after.pull-left { margin-right: .3em; } .dropdown-submenu > a:after.pull-right { margin-left: .3em; } [dir="rtl"] .dropdown-submenu > a:after { float: left; content: "\f0d9"; margin-right: 0; margin-left: -10px; } .dropdown-submenu:hover > a:after { color: #262626; } .dropdown-submenu.pull-left { float: none; } .dropdown-submenu.pull-left > .dropdown-menu { left: -100%; margin-left: 10px; } #notification_area { float: right !important; float: right; z-index: 10; } [dir="rtl"] #notification_area { float: left !important; float: left; } .indicator_area { float: right !important; float: right; color: #777; margin-left: 5px; margin-right: 5px; width: 11px; z-index: 10; text-align: center; width: auto; } [dir="rtl"] .indicator_area { float: left !important; float: left; } #kernel_indicator { float: right !important; float: right; color: #777; margin-left: 5px; margin-right: 5px; width: 11px; z-index: 10; text-align: center; width: auto; border-left: 1px solid; } #kernel_indicator .kernel_indicator_name { padding-left: 5px; padding-right: 5px; } [dir="rtl"] #kernel_indicator { float: left !important; float: left; border-left: 0; border-right: 1px solid; } #modal_indicator { float: right !important; float: right; color: #777; margin-left: 5px; margin-right: 5px; width: 11px; z-index: 10; text-align: center; width: auto; } [dir="rtl"] #modal_indicator { float: left !important; float: left; } #readonly-indicator { float: right !important; float: right; color: #777; margin-left: 5px; margin-right: 5px; width: 11px; z-index: 10; text-align: center; width: auto; margin-top: 2px; margin-bottom: 0px; margin-left: 0px; margin-right: 0px; display: none; } .modal_indicator:before { width: 1.28571429em; text-align: center; } .edit_mode .modal_indicator:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f040"; } .edit_mode .modal_indicator:before.fa-pull-left { margin-right: .3em; } .edit_mode .modal_indicator:before.fa-pull-right { margin-left: .3em; } .edit_mode .modal_indicator:before.pull-left { margin-right: .3em; } .edit_mode .modal_indicator:before.pull-right { margin-left: .3em; } .command_mode .modal_indicator:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: ' '; } .command_mode .modal_indicator:before.fa-pull-left { margin-right: .3em; } .command_mode .modal_indicator:before.fa-pull-right { margin-left: .3em; } .command_mode .modal_indicator:before.pull-left { margin-right: .3em; } .command_mode .modal_indicator:before.pull-right { margin-left: .3em; } .kernel_idle_icon:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f10c"; } .kernel_idle_icon:before.fa-pull-left { margin-right: .3em; } .kernel_idle_icon:before.fa-pull-right { margin-left: .3em; } .kernel_idle_icon:before.pull-left { margin-right: .3em; } .kernel_idle_icon:before.pull-right { margin-left: .3em; } .kernel_busy_icon:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f111"; } .kernel_busy_icon:before.fa-pull-left { margin-right: .3em; } .kernel_busy_icon:before.fa-pull-right { margin-left: .3em; } .kernel_busy_icon:before.pull-left { margin-right: .3em; } .kernel_busy_icon:before.pull-right { margin-left: .3em; } .kernel_dead_icon:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f1e2"; } .kernel_dead_icon:before.fa-pull-left { margin-right: .3em; } .kernel_dead_icon:before.fa-pull-right { margin-left: .3em; } .kernel_dead_icon:before.pull-left { margin-right: .3em; } .kernel_dead_icon:before.pull-right { margin-left: .3em; } .kernel_disconnected_icon:before { display: inline-block; font: normal normal normal 14px/1 FontAwesome; font-size: inherit; text-rendering: auto; -webkit-font-smoothing: antialiased; -moz-osx-font-smoothing: grayscale; content: "\f127"; } .kernel_disconnected_icon:before.fa-pull-left { margin-right: .3em; } .kernel_disconnected_icon:before.fa-pull-right { margin-left: .3em; } .kernel_disconnected_icon:before.pull-left { margin-right: .3em; } .kernel_disconnected_icon:before.pull-right { margin-left: .3em; } .notification_widget { color: #777; z-index: 10; background: rgba(240, 240, 240, 0.5); margin-right: 4px; color: #333; background-color: #fff; border-color: #ccc; } .notification_widget:focus, .notification_widget.focus { color: #333; background-color: #e6e6e6; border-color: #8c8c8c; } .notification_widget:hover { color: #333; background-color: #e6e6e6; border-color: #adadad; } .notification_widget:active, .notification_widget.active, .open > .dropdown-toggle.notification_widget { color: #333; background-color: #e6e6e6; border-color: #adadad; } .notification_widget:active:hover, .notification_widget.active:hover, .open > .dropdown-toggle.notification_widget:hover, .notification_widget:active:focus, .notification_widget.active:focus, .open > .dropdown-toggle.notification_widget:focus, .notification_widget:active.focus, .notification_widget.active.focus, .open > .dropdown-toggle.notification_widget.focus { color: #333; background-color: #d4d4d4; border-color: #8c8c8c; } .notification_widget:active, .notification_widget.active, .open > .dropdown-toggle.notification_widget { background-image: none; } .notification_widget.disabled:hover, .notification_widget[disabled]:hover, fieldset[disabled] .notification_widget:hover, .notification_widget.disabled:focus, .notification_widget[disabled]:focus, fieldset[disabled] .notification_widget:focus, .notification_widget.disabled.focus, .notification_widget[disabled].focus, fieldset[disabled] .notification_widget.focus { background-color: #fff; border-color: #ccc; } .notification_widget .badge { color: #fff; background-color: #333; } .notification_widget.warning { color: #fff; background-color: #f0ad4e; border-color: #eea236; } .notification_widget.warning:focus, .notification_widget.warning.focus { color: #fff; background-color: #ec971f; border-color: #985f0d; } .notification_widget.warning:hover { color: #fff; background-color: #ec971f; border-color: #d58512; } .notification_widget.warning:active, .notification_widget.warning.active, .open > .dropdown-toggle.notification_widget.warning { color: #fff; background-color: #ec971f; border-color: #d58512; } .notification_widget.warning:active:hover, .notification_widget.warning.active:hover, .open > .dropdown-toggle.notification_widget.warning:hover, .notification_widget.warning:active:focus, .notification_widget.warning.active:focus, .open > .dropdown-toggle.notification_widget.warning:focus, .notification_widget.warning:active.focus, .notification_widget.warning.active.focus, .open > .dropdown-toggle.notification_widget.warning.focus { color: #fff; background-color: #d58512; border-color: #985f0d; } .notification_widget.warning:active, .notification_widget.warning.active, .open > .dropdown-toggle.notification_widget.warning { background-image: none; } .notification_widget.warning.disabled:hover, .notification_widget.warning[disabled]:hover, fieldset[disabled] .notification_widget.warning:hover, .notification_widget.warning.disabled:focus, .notification_widget.warning[disabled]:focus, fieldset[disabled] .notification_widget.warning:focus, .notification_widget.warning.disabled.focus, .notification_widget.warning[disabled].focus, fieldset[disabled] .notification_widget.warning.focus { background-color: #f0ad4e; border-color: #eea236; } .notification_widget.warning .badge { color: #f0ad4e; background-color: #fff; } .notification_widget.success { color: #fff; background-color: #5cb85c; border-color: #4cae4c; } .notification_widget.success:focus, .notification_widget.success.focus { color: #fff; background-color: #449d44; border-color: #255625; } .notification_widget.success:hover { color: #fff; background-color: #449d44; border-color: #398439; } .notification_widget.success:active, .notification_widget.success.active, .open > .dropdown-toggle.notification_widget.success { color: #fff; background-color: #449d44; border-color: #398439; } .notification_widget.success:active:hover, .notification_widget.success.active:hover, .open > .dropdown-toggle.notification_widget.success:hover, .notification_widget.success:active:focus, .notification_widget.success.active:focus, .open > .dropdown-toggle.notification_widget.success:focus, .notification_widget.success:active.focus, .notification_widget.success.active.focus, .open > .dropdown-toggle.notification_widget.success.focus { color: #fff; background-color: #398439; border-color: #255625; } .notification_widget.success:active, .notification_widget.success.active, .open > .dropdown-toggle.notification_widget.success { background-image: none; } .notification_widget.success.disabled:hover, .notification_widget.success[disabled]:hover, fieldset[disabled] .notification_widget.success:hover, .notification_widget.success.disabled:focus, .notification_widget.success[disabled]:focus, fieldset[disabled] .notification_widget.success:focus, .notification_widget.success.disabled.focus, .notification_widget.success[disabled].focus, fieldset[disabled] .notification_widget.success.focus { background-color: #5cb85c; border-color: #4cae4c; } .notification_widget.success .badge { color: #5cb85c; background-color: #fff; } .notification_widget.info { color: #fff; background-color: #5bc0de; border-color: #46b8da; } .notification_widget.info:focus, .notification_widget.info.focus { color: #fff; background-color: #31b0d5; border-color: #1b6d85; } .notification_widget.info:hover { color: #fff; background-color: #31b0d5; border-color: #269abc; } .notification_widget.info:active, .notification_widget.info.active, .open > .dropdown-toggle.notification_widget.info { color: #fff; background-color: #31b0d5; border-color: #269abc; } .notification_widget.info:active:hover, .notification_widget.info.active:hover, .open > .dropdown-toggle.notification_widget.info:hover, .notification_widget.info:active:focus, .notification_widget.info.active:focus, .open > .dropdown-toggle.notification_widget.info:focus, .notification_widget.info:active.focus, .notification_widget.info.active.focus, .open > .dropdown-toggle.notification_widget.info.focus { color: #fff; background-color: #269abc; border-color: #1b6d85; } .notification_widget.info:active, .notification_widget.info.active, .open > .dropdown-toggle.notification_widget.info { background-image: none; } .notification_widget.info.disabled:hover, .notification_widget.info[disabled]:hover, fieldset[disabled] .notification_widget.info:hover, .notification_widget.info.disabled:focus, .notification_widget.info[disabled]:focus, fieldset[disabled] .notification_widget.info:focus, .notification_widget.info.disabled.focus, .notification_widget.info[disabled].focus, fieldset[disabled] .notification_widget.info.focus { background-color: #5bc0de; border-color: #46b8da; } .notification_widget.info .badge { color: #5bc0de; background-color: #fff; } .notification_widget.danger { color: #fff; background-color: #d9534f; border-color: #d43f3a; } .notification_widget.danger:focus, .notification_widget.danger.focus { color: #fff; background-color: #c9302c; border-color: #761c19; } .notification_widget.danger:hover { color: #fff; background-color: #c9302c; border-color: #ac2925; } .notification_widget.danger:active, .notification_widget.danger.active, .open > .dropdown-toggle.notification_widget.danger { color: #fff; background-color: #c9302c; border-color: #ac2925; } .notification_widget.danger:active:hover, .notification_widget.danger.active:hover, .open > .dropdown-toggle.notification_widget.danger:hover, .notification_widget.danger:active:focus, .notification_widget.danger.active:focus, .open > .dropdown-toggle.notification_widget.danger:focus, .notification_widget.danger:active.focus, .notification_widget.danger.active.focus, .open > .dropdown-toggle.notification_widget.danger.focus { color: #fff; background-color: #ac2925; border-color: #761c19; } .notification_widget.danger:active, .notification_widget.danger.active, .open > .dropdown-toggle.notification_widget.danger { background-image: none; } .notification_widget.danger.disabled:hover, .notification_widget.danger[disabled]:hover, fieldset[disabled] .notification_widget.danger:hover, .notification_widget.danger.disabled:focus, .notification_widget.danger[disabled]:focus, fieldset[disabled] .notification_widget.danger:focus, .notification_widget.danger.disabled.focus, .notification_widget.danger[disabled].focus, fieldset[disabled] .notification_widget.danger.focus { background-color: #d9534f; border-color: #d43f3a; } .notification_widget.danger .badge { color: #d9534f; background-color: #fff; } div#pager { background-color: #fff; font-size: 14px; line-height: 20px; overflow: hidden; display: none; position: fixed; bottom: 0px; width: 100%; max-height: 50%; padding-top: 8px; -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2); /* Display over codemirror */ z-index: 100; /* Hack which prevents jquery ui resizable from changing top. */ top: auto !important; } div#pager pre { line-height: 1.21429em; color: #000; background-color: #f7f7f7; padding: 0.4em; } div#pager #pager-button-area { position: absolute; top: 8px; right: 20px; } div#pager #pager-contents { position: relative; overflow: auto; width: 100%; height: 100%; } div#pager #pager-contents #pager-container { position: relative; padding: 15px 0px; box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; } div#pager .ui-resizable-handle { top: 0px; height: 8px; background: #f7f7f7; border-top: 1px solid #cfcfcf; border-bottom: 1px solid #cfcfcf; /* This injects handle bars (a short, wide = symbol) for the resize handle. */ } div#pager .ui-resizable-handle::after { content: ''; top: 2px; left: 50%; height: 3px; width: 30px; margin-left: -15px; position: absolute; border-top: 1px solid #cfcfcf; } .quickhelp { /* Old browsers */ display: -webkit-box; -webkit-box-orient: horizontal; -webkit-box-align: stretch; display: -moz-box; -moz-box-orient: horizontal; -moz-box-align: stretch; display: box; box-orient: horizontal; box-align: stretch; /* Modern browsers */ display: flex; flex-direction: row; align-items: stretch; line-height: 1.8em; } .shortcut_key { display: inline-block; width: 21ex; text-align: right; font-family: monospace; } .shortcut_descr { display: inline-block; /* Old browsers */ -webkit-box-flex: 1; -moz-box-flex: 1; box-flex: 1; /* Modern browsers */ flex: 1; } span.save_widget { height: 30px; margin-top: 4px; display: flex; justify-content: flex-start; align-items: baseline; width: 50%; flex: 1; } span.save_widget span.filename { height: 100%; line-height: 1em; margin-left: 16px; border: none; font-size: 146.5%; text-overflow: ellipsis; overflow: hidden; white-space: nowrap; border-radius: 2px; } span.save_widget span.filename:hover { background-color: #e6e6e6; } [dir="rtl"] span.save_widget.pull-left { float: right !important; float: right; } [dir="rtl"] span.save_widget span.filename { margin-left: 0; margin-right: 16px; } span.checkpoint_status, span.autosave_status { font-size: small; white-space: nowrap; padding: 0 5px; } @media (max-width: 767px) { span.save_widget { font-size: small; padding: 0 0 0 5px; } span.checkpoint_status, span.autosave_status { display: none; } } @media (min-width: 768px) and (max-width: 991px) { span.checkpoint_status { display: none; } span.autosave_status { font-size: x-small; } } .toolbar { padding: 0px; margin-left: -5px; margin-top: 2px; margin-bottom: 5px; box-sizing: border-box; -moz-box-sizing: border-box; -webkit-box-sizing: border-box; } .toolbar select, .toolbar label { width: auto; vertical-align: middle; margin-right: 2px; margin-bottom: 0px; display: inline; font-size: 92%; margin-left: 0.3em; margin-right: 0.3em; padding: 0px; padding-top: 3px; } .toolbar .btn { padding: 2px 8px; } .toolbar .btn-group { margin-top: 0px; margin-left: 5px; } .toolbar-btn-label { margin-left: 6px; } #maintoolbar { margin-bottom: -3px; margin-top: -8px; border: 0px; min-height: 27px; margin-left: 0px; padding-top: 11px; padding-bottom: 3px; } #maintoolbar .navbar-text { float: none; vertical-align: middle; text-align: right; margin-left: 5px; margin-right: 0px; margin-top: 0px; } .select-xs { height: 24px; } [dir="rtl"] .btn-group > .btn, .btn-group-vertical > .btn { float: right; } .pulse, .dropdown-menu > li > a.pulse, li.pulse > a.dropdown-toggle, li.pulse.open > a.dropdown-toggle { background-color: #F37626; color: white; } /** * Primary styles * * Author: Jupyter Development Team */ /** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot * of chance of beeing generated from the ../less/[samename].less file, you can * try to get back the less file by reverting somme commit in history **/ /* * We'll try to get something pretty, so we * have some strange css to have the scroll bar on * the left with fix button on the top right of the tooltip */ @-moz-keyframes fadeOut { from { opacity: 1; } to { opacity: 0; } } @-webkit-keyframes fadeOut { from { opacity: 1; } to { opacity: 0; } } @-moz-keyframes fadeIn { from { opacity: 0; } to { opacity: 1; } } @-webkit-keyframes fadeIn { from { opacity: 0; } to { opacity: 1; } } /*properties of tooltip after "expand"*/ .bigtooltip { overflow: auto; height: 200px; -webkit-transition-property: height; -webkit-transition-duration: 500ms; -moz-transition-property: height; -moz-transition-duration: 500ms; transition-property: height; transition-duration: 500ms; } /*properties of tooltip before "expand"*/ .smalltooltip { -webkit-transition-property: height; -webkit-transition-duration: 500ms; -moz-transition-property: height; -moz-transition-duration: 500ms; transition-property: height; transition-duration: 500ms; text-overflow: ellipsis; overflow: hidden; height: 80px; } .tooltipbuttons { position: absolute; padding-right: 15px; top: 0px; right: 0px; } .tooltiptext { /*avoid the button to overlap on some docstring*/ padding-right: 30px; } .ipython_tooltip { max-width: 700px; /*fade-in animation when inserted*/ -webkit-animation: fadeOut 400ms; -moz-animation: fadeOut 400ms; animation: fadeOut 400ms; -webkit-animation: fadeIn 400ms; -moz-animation: fadeIn 400ms; animation: fadeIn 400ms; vertical-align: middle; background-color: #f7f7f7; overflow: visible; border: #ababab 1px solid; outline: none; padding: 3px; margin: 0px; padding-left: 7px; font-family: monospace; min-height: 50px; -moz-box-shadow: 0px 6px 10px -1px #adadad; -webkit-box-shadow: 0px 6px 10px -1px #adadad; box-shadow: 0px 6px 10px -1px #adadad; border-radius: 2px; position: absolute; z-index: 1000; } .ipython_tooltip a { float: right; } .ipython_tooltip .tooltiptext pre { border: 0; border-radius: 0; font-size: 100%; background-color: #f7f7f7; } .pretooltiparrow { left: 0px; margin: 0px; top: -16px; width: 40px; height: 16px; overflow: hidden; position: absolute; } .pretooltiparrow:before { background-color: #f7f7f7; border: 1px #ababab solid; z-index: 11; content: ""; position: absolute; left: 15px; 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} div#notebook { overflow: visible; border-top: none; }@media print { div.cell { display: block; page-break-inside: avoid; } div.output_wrapper { display: block; page-break-inside: avoid; } div.output { display: block; page-break-inside: avoid; } } </style> <!-- Custom stylesheet, it must be in the same directory as the html file --> <link rel="stylesheet" href="custom.css"> <!-- Loading mathjax macro --> <!-- Load mathjax --> <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script> <!-- MathJax configuration --> <script type="text/x-mathjax-config"> MathJax.Hub.Config({ tex2jax: { inlineMath: [ ['$','$'], ["\\(","\\)"] ], displayMath: [ ['$$','$$'], ["\\[","\\]"] ], processEscapes: true, processEnvironments: true }, // Center justify equations in code and markdown cells. Elsewhere // we use CSS to left justify single line equations in code cells. displayAlign: 'center', "HTML-CSS": { styles: {'.MathJax_Display': {"margin": 0}}, linebreaks: { automatic: true } } }); </script> <!-- End of mathjax configuration --></head> <body> <div tabindex="-1" id="notebook" class="border-box-sizing"> <div class="container" id="notebook-container"> <div class="cell border-box-sizing 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="Data-Analysis">Data Analysis<a class="anchor-link" href="#Data-Analysis">¶</a></h1><h3 id="Towards-a-global-understanding-of-vegetation–climate-dynamics-at-multiple-time-scales.">Towards a global understanding of vegetation–climate dynamics at multiple time scales.<a class="anchor-link" href="#Towards-a-global-understanding-of-vegetation–climate-dynamics-at-multiple-time-scales.">¶</a></h3><h4 id="Linscheid,-Estupinan-Suarez,-et-al.,-Biogeoscience-https://doi.org/10.5194/bg-2019-321">Linscheid, Estupinan-Suarez, et al., Biogeoscience <a href="https://doi.org/10.5194/bg-2019-321">https://doi.org/10.5194/bg-2019-321</a><a class="anchor-link" href="#Linscheid,-Estupinan-Suarez,-et-al.,-Biogeoscience-https://doi.org/10.5194/bg-2019-321">¶</a></h4><h5 id="correspondence-to:-nlinsch@bgc-jena.mpg.de,-lestup@bgc-jena.mpg.de">correspondence to: nlinsch@bgc-jena.mpg.de, lestup@bgc-jena.mpg.de<a class="anchor-link" href="#correspondence-to:-nlinsch@bgc-jena.mpg.de,-lestup@bgc-jena.mpg.de">¶</a></h5> </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="Time-series-decomposition-by-Fourier,-analysis-of-variance-per-time-scale,-dominant-time-scales,-and-difference-in-sign-of-vegetation-climate-correlation-across-time-scales">Time series decomposition by Fourier, analysis of variance per time scale, dominant time scales, and difference in sign of vegetation-climate correlation across time scales<a class="anchor-link" href="#Time-series-decomposition-by-Fourier,-analysis-of-variance-per-time-scale,-dominant-time-scales,-and-difference-in-sign-of-vegetation-climate-correlation-across-time-scales">¶</a></h3><ul> <li>This notebook exemplifies the main analysis in the paper "Towards a global understanding of vegetation–climate dynamics at multiple time scales"</li> <li>The notebook is written in Julia 0.6 </li> <li>"#" comments in the code are intended to explain specific aspects of the coding</li> <li>"##" comments in the code are intended to describe datasets or objects for clarification </li> <li>New steps in workflows are introduced with bold headers</li> <li>Map plots are used to illustrate the outcomes. They graphically differ from figures in the paper (e.g. colormaps, axis) which were mainly produced in Python.</li> <li>Datasets pre-processing is not included on this notebook but introduced briefly. Access to the code or data is available by the correspondance authors.</li> </ul> <p>June 2019, Max Planck Insitute of Biogeochemistry, Jena, Germany</p> </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-required-packages">Load required packages<a class="anchor-link" href="#Load-required-packages">¶</a></h2> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [1]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># for operating the Earth system data lab (ESDL v0.4.15)</span> <span class="k">using</span> <span class="n">ESDL</span><span class="p">,</span> <span class="n">ESDLPlots</span> <span class="c"># for tracking process progress</span> <span class="k">using</span> <span class="n">ProgressMeter</span> <span class="c"># for loading aggregated data from home directory into ESDL (BGIData v0.1.3)</span> <span class="k">using</span> <span class="n">BGIData</span> <span class="c"># for working with missing values</span> <span class="k">using</span> <span class="n">Missings</span> <span class="c"># for reading CSV files</span> <span class="k">using</span> <span class="n">CSV</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><span class="ansi-cyan-intense-fg ansi-bold">INFO: </span><span class="ansi-cyan-fg">Interact.jl: using new nbwidgetsextension protocol </span></pre> </div> </div> <div class="output_area"> <div class="prompt"></div> <div class="output_html rendered_html output_subarea "> <div id="interact-js-shim"> <script charset="utf-8"> (function (IPython, $, _, MathJax) { $.event.special.destroyed = { remove: function(o) { if (o.handler) { o.handler.apply(this, arguments) } } } var OutputArea = IPython.version >= "4.0.0" ? require("notebook/js/outputarea").OutputArea : IPython.OutputArea; var redrawValue = function (container, type, val) { var selector = $("<div/>"); var oa = new OutputArea(_.extend(selector, { selector: selector, prompt_area: true, events: IPython.events, keyboard_manager: IPython.keyboard_manager })); // Hack to work with IPython 2.1.0 switch (type) { case "image/png": var _src = 'data:' + type + ';base64,' + val; $(container).find("img").attr('src', _src); break; case "text/latex": if (MathJax){ var math = MathJax.Hub.getAllJax(container)[0]; MathJax.Hub.Queue(["Text", math, val.replace(/^\${1,2}|\${1,2}$/g, '')]); break; } default: var toinsert = OutputArea.append_map[type].apply( oa, [val, {}, selector] ); $(container).empty().append(toinsert.contents()); selector.remove(); } } $(document).ready(function() { function initComm(evt, data) { var comm_manager = data.kernel.comm_manager; //_.extend(comm_manager.targets, require("widgets/js/widget")) comm_manager.register_target("Signal", function (comm) { comm.on_msg(function (msg) { var val = msg.content.data.value; $(".signal-" + comm.comm_id).each(function() { var type = $(this).data("type"); if (typeof(val[type]) !== "undefined" && val[type] !== null) { redrawValue(this, type, val[type], type); } }); delete val; delete msg.content.data.value; }); }); // coordingate with Comm and redraw Signals // XXX: Test using Reactive here to improve performance $([IPython.events]).on( 'output_appended.OutputArea', function (event, type, value, md, toinsert) { if (md && md.reactive) { // console.log(md.comm_id); toinsert.addClass("signal-" + md.comm_id); toinsert.data("type", type); // Signal back indicating the mimetype required var comm_manager = IPython.notebook.kernel.comm_manager; var comm = comm_manager.comms[md.comm_id]; comm.then(function (c) { c.send({action: "subscribe_mime", mime: type}); toinsert.bind("destroyed", function() { c.send({action: "unsubscribe_mime", mime: type}); }); }) } }); } try { // try to initialize right away. otherwise, wait on the status_started event. initComm(undefined, IPython.notebook); } catch (e) { $([IPython.events]).on('kernel_created.Kernel kernel_created.Session', initComm); } }); })(IPython, jQuery, _, MathJax); </script> <script> window.interactLoadedFlag = true $("#interact-js-shim").bind("destroyed", function () { if (window.interactLoadedFlag) { console.warn("JavaScript required by Interact will be removed if you remove this cell or run using Interact more than once.") } }) $([IPython.events]).on("kernel_starting.Kernel kernel_restarting.Kernel", function () { window.interactLoadedFlag = false }) </script> </div> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [2]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># for heatmaps</span> <span class="k">using</span> <span class="n">Plots</span> <span class="n">gr</span><span class="p">(</span><span class="n">html_output_format</span><span class="o">=:</span><span class="n">png</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[2]:</div> <div class="output_text output_subarea output_execute_result"> <pre>Plots.GRBackend()</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [3]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">missing_to_nan!</span><span class="p">(</span><span class="n">x</span><span class="o">::</span><span class="kt">Array</span><span class="p">{</span><span class="kt">Union</span><span class="p">{</span><span class="n">Missing</span><span class="p">,</span> <span class="n">T</span><span class="p">}})</span> <span class="n">where</span> <span class="n">T</span> <span class="o">=</span> <span class="n">map!</span><span class="p">(</span><span class="n">y</span> <span class="o">-></span> <span class="n">y</span> <span class="o">===</span> <span class="n">missing</span> <span class="o">?</span> <span class="n">T</span><span class="p">(</span><span class="nb">NaN</span><span class="p">)</span> <span class="o">:</span> <span class="n">y</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span> <span class="n">missing_to_nan</span><span class="p">(</span><span class="n">x</span><span class="o">::</span><span class="kt">Array</span><span class="p">{</span><span class="kt">Union</span><span class="p">{</span><span class="n">Missing</span><span class="p">,</span> <span class="n">T</span><span class="p">}})</span> <span class="n">where</span> <span class="n">T</span> <span class="o">=</span> <span class="n">map</span><span class="p">(</span><span class="n">y</span> <span class="o">-></span> <span class="n">y</span> <span class="o">===</span> <span class="n">missing</span> <span class="o">?</span> <span class="n">T</span><span class="p">(</span><span class="nb">NaN</span><span class="p">)</span> <span class="o">:</span> <span class="n">y</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span> <span class="n">missing_to_nan</span><span class="p">(</span><span class="n">x</span><span class="o">::</span><span class="kt">Array</span><span class="p">{</span><span class="n">T</span><span class="p">})</span> <span class="n">where</span> <span class="n">T</span> <span class="o">=</span> <span class="n">x</span> <span class="n">missing_to_nan!</span><span class="p">(</span><span class="n">x</span><span class="o">::</span><span class="kt">Array</span><span class="p">{</span><span class="n">T</span><span class="p">})</span> <span class="n">where</span> <span class="n">T</span> <span class="o">=</span> <span class="n">x</span> <span class="n">missing_to_zero!</span><span class="p">(</span><span class="n">x</span><span class="o">::</span><span class="kt">Array</span><span class="p">{</span><span class="kt">Union</span><span class="p">{</span><span class="n">Missing</span><span class="p">,</span> <span class="n">T</span><span class="p">}})</span> <span class="n">where</span> <span class="n">T</span> <span class="o">=</span> <span class="n">map!</span><span class="p">(</span><span class="n">y</span> <span class="o">-></span> <span class="n">y</span> <span class="o">===</span> <span class="n">missing</span> <span class="o">?</span> <span class="n">T</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="o">:</span> <span class="n">y</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">x</span><span class="p">)</span> <span class="n">missing_to_zero</span><span class="p">(</span><span class="n">x</span><span class="o">::</span><span class="kt">Array</span><span class="p">{</span><span class="kt">Union</span><span class="p">{</span><span class="n">Missing</span><span class="p">,</span> <span class="n">T</span><span class="p">}})</span> <span class="n">where</span> <span class="n">T</span> <span class="o">=</span> <span class="n">map</span><span class="p">(</span><span class="n">y</span> <span class="o">-></span> <span class="n">y</span> <span class="o">===</span> <span class="n">missing</span> <span class="o">?</span> <span class="n">T</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span> <span class="o">:</span> <span class="n">y</span><span class="p">,</span> <span class="n">x</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_text output_subarea output_execute_result"> <pre>missing_to_zero (generic function with 1 method)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <h1 id="Data-and-preprocessing">Data and preprocessing<a class="anchor-link" href="#Data-and-preprocessing">¶</a></h1> </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="Load-15-daily-data-(NDVI,-Tair,-Prec)">Load 15-daily data (NDVI, Tair, Prec)<a class="anchor-link" href="#Load-15-daily-data-(NDVI,-Tair,-Prec)">¶</a></h3> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [4]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">path_ndvi</span><span class="p">,</span> <span class="n">path_tair</span><span class="p">,</span> <span class="n">path_prec</span><span class="p">,</span> <span class="n">path_oce_des</span> <span class="o">=</span> <span class="n">readlines</span><span class="p">(</span><span class="s">"datapaths.txt"</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 [5]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c">## Data: NDVI - Source: GIMMS v3.1 (Pinzon and Tucker, 2014) </span> <span class="c">## pre-processing: data was previously resampled from 0.083°</span> <span class="c">## to 0.5° by averaging</span> <span class="n">ds_ndvi</span> <span class="o">=</span> <span class="n">bgi_from_dir</span><span class="p">(</span><span class="n">path_ndvi</span><span class="p">,</span> <span class="s">"NDVI"</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_markdown rendered_html output_subarea output_execute_result"> <p><strong>NDVI</strong> <em>NDVI</em> Resolution: 0.5deg; Years 1982.0-2016.0</p> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [6]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c">## Data: air temperature - Source: ERA Interim v4 (Dee et al., 2011) </span> <span class="c">## pre-processing: data was previously aggregateted to 15-daily time steps</span> <span class="c">## by averaging</span> <span class="n">ds_temp</span> <span class="o">=</span> <span class="n">bgi_from_dir</span><span class="p">(</span><span class="n">path_tair</span><span class="p">,</span> <span class="s">"Tair"</span><span class="p">)</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[6]:</div> <div class="output_markdown rendered_html output_subarea output_execute_result"> <p><strong>Tair</strong> <em>Tair</em> Resolution: 0.5deg; Years 1982.0-2016.0</p> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [7]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c">## Data: precipitation - Source: MSWEP (Beck, Wood, et al., 2019)</span> <span class="c">## pre-processing: data was previously aggregateted to 15-daily time steps</span> <span class="c">## by summation, and resampled from 0.083° to 0.5° by averaging</span> <span class="n">ds_mswep</span> <span class="o">=</span> <span class="n">bgi_from_dir</span><span class="p">(</span><span class="n">path_prec</span><span class="p">,</span> <span class="s">"prec"</span><span class="p">)</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[7]:</div> <div class="output_markdown rendered_html output_subarea output_execute_result"> <p><strong>prec</strong> <em>prec</em> Resolution: 0.5deg; Years 1982.0-2016.0</p> </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="Load-cubes">Load cubes<a class="anchor-link" href="#Load-cubes">¶</a></h3> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [8]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># define time period</span> <span class="n">t</span> <span class="o">=</span> <span class="p">(</span><span class="kt">Date</span><span class="p">(</span><span class="mi">1982</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span><span class="kt">Date</span><span class="p">(</span><span class="mi">2015</span><span class="p">,</span><span class="mi">12</span><span class="p">,</span><span class="mi">31</span><span class="p">))</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[8]:</div> <div class="output_text output_subarea output_execute_result"> <pre>(1982-01-01, 2015-12-31)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [9]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># get cubes independently for each variable </span> <span class="n">c_vegidx</span> <span class="o">=</span> <span class="n">getCubeData</span><span class="p">(</span><span class="n">ds_ndvi</span><span class="p">,</span> <span class="n">time</span><span class="o">=</span><span class="n">t</span><span class="p">)</span> <span class="n">c_prec</span> <span class="o">=</span> <span class="n">getCubeData</span><span class="p">(</span><span class="n">ds_mswep</span><span class="p">,</span> <span class="n">time</span><span class="o">=</span><span class="n">t</span><span class="p">)</span> <span class="n">c_temp</span> <span class="o">=</span> <span class="n">getCubeData</span><span class="p">(</span><span class="n">ds_temp</span><span class="p">,</span> <span class="n">time</span><span class="o">=</span><span class="n">t</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[9]:</div> <div class="output_text output_subarea output_execute_result"> <pre>BGIData variable Tair with the following dimensions Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Time Axis with 816 Elements from 1982-01-01 to 2015-12-15 Total size: 1.77 GB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [10]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># plotting first time step of NDVI data cube "c_vegidx"</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">missing_to_nan</span><span class="p">(</span><span class="n">c_vegidx</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="mi">1</span><span class="p">])</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[10]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </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="Gapfilling">Gapfilling<a class="anchor-link" href="#Gapfilling">¶</a></h2> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [11]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># here only for NDVI, the others do not have gaps</span> <span class="n">c_fill_vegidx</span> <span class="o">=</span> <span class="n">gapFillMSC</span><span class="p">(</span><span class="n">c_vegidx</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:49</span>:33 </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[11]:</div> <div class="output_text output_subarea output_execute_result"> <pre>Memory mapped cube with the following dimensions Time Axis with 816 Elements from 1982-01-15T00:00:00 to 2015-12-31T00:00:00 Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 1.77 GB </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="Normalization">Normalization<a class="anchor-link" href="#Normalization">¶</a></h2><p>(Z-scoring per pixel)</p> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [12]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">c_norm_vegidx</span> <span class="o">=</span> <span class="n">normalizeTS</span><span class="p">(</span><span class="n">c_fill_vegidx</span><span class="p">)</span> <span class="n">c_norm_prec</span> <span class="o">=</span> <span class="n">normalizeTS</span><span class="p">(</span><span class="n">c_prec</span><span class="p">)</span> <span class="n">c_norm_temp</span> <span class="o">=</span> <span class="n">normalizeTS</span><span class="p">(</span><span class="n">c_temp</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:00:25</span> <span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:47</span>0:19 <span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:46</span> </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[12]:</div> <div class="output_text output_subarea output_execute_result"> <pre>Memory mapped cube with the following dimensions Time Axis with 816 Elements from 1982-01-01 to 2015-12-15 Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 1.77 GB </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="FFT-decomposition">FFT decomposition<a class="anchor-link" href="#FFT-decomposition">¶</a></h2> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [13]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c">## Fast Fourier decomposition</span> <span class="n">c_fft_vegidx</span> <span class="o">=</span> <span class="n">filterTSFFT</span><span class="p">(</span><span class="n">c_norm_vegidx</span><span class="p">)</span> <span class="n">c_fft_prec</span> <span class="o">=</span> <span class="n">filterTSFFT</span><span class="p">(</span><span class="n">c_norm_prec</span><span class="p">)</span> <span class="n">c_fft_temp</span> <span class="o">=</span> <span class="n">filterTSFFT</span><span class="p">(</span><span class="n">c_norm_temp</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:20</span>:19 <span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:21</span> <span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:22</span> </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[13]:</div> <div class="output_text output_subarea output_execute_result"> <pre>Memory mapped cube with the following dimensions Time Axis with 816 Elements from 1982-01-01 to 2015-12-15 Scale Axis with elements: Trend Long-Term Variability Annual Cycle Fast Oscillations Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 7.09 GB </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="Percent-missing-values-in-NDVI">Percent missing values in NDVI<a class="anchor-link" href="#Percent-missing-values-in-NDVI">¶</a></h2> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [14]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="k">using</span> <span class="n">Missings</span> <span class="s">"""</span> <span class="s">Calculate proportion valid (not 'missing' or 'NaN') values along a vector</span> <span class="s">r = rand(10)</span> <span class="s">r[10] = NaN</span> <span class="s">percentvalid(r) # => 0.9</span> <span class="s">"""</span> <span class="k">function</span> <span class="n">percentvalid</span><span class="p">(</span><span class="n">xin</span><span class="p">)</span> <span class="c"># where xin is a timeseries</span> <span class="n">a</span><span class="o">=</span><span class="n">count</span><span class="p">(</span><span class="o">.!</span><span class="n">ismissing</span><span class="o">.</span><span class="p">(</span><span class="n">xin</span><span class="p">)</span> <span class="o">.&</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">xin</span><span class="p">))</span> <span class="c"># count number of valid values</span> <span class="n">b</span><span class="o">=</span><span class="n">length</span><span class="p">(</span><span class="n">xin</span><span class="p">)</span> <span class="c"># length of TS</span> <span class="k">return</span> <span class="n">a</span><span class="o">/</span><span class="n">b</span> <span class="c"># fraction of valid values</span> <span class="k">end</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[14]:</div> <div class="output_text output_subarea output_execute_result"> <pre>percentvalid</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [15]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">c_gapmask</span> <span class="o">=</span> <span class="n">mapslices</span><span class="p">(</span><span class="n">percentvalid</span><span class="p">,</span> <span class="n">c_vegidx</span><span class="p">,</span> <span class="s">"Time"</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:47</span> </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[15]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 2.22 MB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [16]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># map of the fraction of valid values</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">missing_to_nan</span><span class="p">(</span><span class="n">c_gapmask</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">])</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</span><span class="p">])</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[16]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </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="Masks">Masks<a class="anchor-link" href="#Masks">¶</a></h2> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [17]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># mask out gapfilled values again for downstream analyses</span> <span class="n">mask_gaps</span> <span class="o">=</span> <span class="n">permutedims</span><span class="p">(</span><span class="n">c_vegidx</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],[</span><span class="mi">3</span><span class="p">,</span><span class="mi">1</span><span class="p">,</span><span class="mi">2</span><span class="p">])</span> <span class="o">.==</span> <span class="n">c_fill_vegidx</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</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 [18]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># ndvi cutoff mask at 0.2 (remove time points with non-active vegetation)</span> <span class="n">mask_ndvi</span> <span class="o">=</span> <span class="n">map</span><span class="p">(</span><span class="n">i</span><span class="o">-></span> <span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">i</span><span class="p">)</span> <span class="o">?</span> <span class="kc">false</span> <span class="o">:</span> <span class="n">i</span><span class="o">.<</span><span class="mf">0.2</span> <span class="o">?</span> <span class="kc">false</span> <span class="o">:</span> <span class="kc">true</span><span class="p">,</span> <span class="n">c_fill_vegidx</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</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 [19]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># combine both masks in one</span> <span class="n">mask_combined</span> <span class="o">=</span> <span class="n">mask_gaps</span> <span class="o">.&</span> <span class="n">mask_ndvi</span><span class="p">;</span> </pre></div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [20]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># mask for ocean and desert</span> <span class="n">oce_des_df</span> <span class="o">=</span> <span class="n">CSV</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="n">path_oce_des</span><span class="p">,</span> <span class="n">header</span> <span class="o">=</span> <span class="kc">false</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 [25]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># converting ocean desert mask data frame into a matrix</span> <span class="n">oce_des</span> <span class="o">=</span> <span class="n">missing_to_nan</span><span class="p">(</span><span class="n">oce_des_df</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span> <span class="o">|></span> <span class="kt">Matrix</span> <span class="o">|></span> <span class="n">permutedims</span><span class="p">)</span> <span class="n">oce_des_mask</span> <span class="o">=</span> <span class="n">convert</span><span class="p">(</span><span class="kt">Array</span><span class="p">{</span><span class="kt">Float64</span><span class="p">,</span><span class="mi">2</span><span class="p">},</span> <span class="n">map</span><span class="p">(</span><span class="n">x</span> <span class="o">-></span> <span class="n">x</span><span class="o">==</span><span class="mi">0</span> <span class="o">?</span> <span class="nb">NaN</span> <span class="o">:</span> <span class="n">x</span><span class="p">,</span> <span class="n">oce_des</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 [26]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># map ocean & dessert mask</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">oce_des</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[26]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </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="Make-into-a-cube">Make into a cube<a class="anchor-link" href="#Make-into-a-cube">¶</a></h3> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [21]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># create a cube for gapfilled mask </span> <span class="n">cubemask_gapfilled</span> <span class="o">=</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">CubeMem</span><span class="p">(</span> <span class="n">CubeAxis</span><span class="p">[</span><span class="n">c_fill_vegidx</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">c_fill_vegidx</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">c_fill_vegidx</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">3</span><span class="p">]],</span> <span class="n">map</span><span class="p">(</span><span class="n">i</span><span class="o">-></span><span class="n">i</span> <span class="o">?</span> <span class="mf">1.0</span> <span class="o">:</span> <span class="nb">NaN</span><span class="p">,</span> <span class="n">mask_gaps</span><span class="p">),</span> <span class="n">map</span><span class="p">(</span><span class="n">i</span><span class="o">-></span><span class="n">i</span> <span class="o">?</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">Mask</span><span class="o">.</span><span class="n">VALID</span> <span class="o">:</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">Mask</span><span class="o">.</span><span class="n">MISSING</span><span class="p">,</span> <span class="n">mask_gaps</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[21]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Time Axis with 816 Elements from 1982-01-15T00:00:00 to 2015-12-31T00:00:00 Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 1.77 GB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [22]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># create a cube for combined mask</span> <span class="n">cubemask</span> <span class="o">=</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">CubeMem</span><span class="p">(</span> <span class="n">CubeAxis</span><span class="p">[</span><span class="n">c_fill_vegidx</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">c_fill_vegidx</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">2</span><span class="p">],</span> <span class="n">c_fill_vegidx</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">3</span><span class="p">]],</span> <span class="n">map</span><span class="p">(</span><span class="n">i</span><span class="o">-></span><span class="n">i</span> <span class="o">?</span> <span class="mf">1.0</span> <span class="o">:</span> <span class="nb">NaN</span><span class="p">,</span> <span class="n">mask_combined</span><span class="p">),</span> <span class="n">map</span><span class="p">(</span><span class="n">i</span><span class="o">-></span><span class="n">i</span> <span class="o">?</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">Mask</span><span class="o">.</span><span class="n">VALID</span> <span class="o">:</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">Mask</span><span class="o">.</span><span class="n">MISSING</span><span class="p">,</span> <span class="n">mask_combined</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[22]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Time Axis with 816 Elements from 1982-01-15T00:00:00 to 2015-12-31T00:00:00 Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 1.77 GB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [23]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># calculate number of valid values over time after applying all filtering</span> <span class="n">c_percmask</span> <span class="o">=</span> <span class="n">mapslices</span><span class="p">(</span><span class="n">percentvalid</span><span class="p">,</span> <span class="n">cubemask</span><span class="p">,</span> <span class="s">"Time"</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:00:06</span> </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[23]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 2.22 MB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [24]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">heatmap</span><span class="p">(</span><span class="n">c_percmask</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[24]:</div> <div class="output_png output_subarea output_execute_result"> <img 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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <h1 id="Fig.-1---Variance-per-time-scale">Fig. 1 - Variance per time scale<a class="anchor-link" href="#Fig.-1---Variance-per-time-scale">¶</a></h1> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [27]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="k">import</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">NaNMissing</span> <span class="n">indims</span> <span class="o">=</span> <span class="n">InDims</span><span class="p">(</span><span class="n">TimeAxis</span><span class="p">,</span> <span class="n">miss</span><span class="o">=</span><span class="n">NaNMissing</span><span class="p">())</span> <span class="n">outdims</span> <span class="o">=</span> <span class="n">OutDims</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[27]:</div> <div class="output_text output_subarea output_execute_result"> <pre>ESDL.DAT.OutDims((), (), ESDL.DAT.DataArrayMissing(), zero, identity, :auto, false, ESDL.DAT.AsArray(), 1)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [28]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># calculate variance for a cube taking into account a mask (here for NDVI)</span> <span class="k">function</span> <span class="n">cubevar_mask</span><span class="p">(</span><span class="n">xout</span><span class="p">,</span> <span class="n">xin</span><span class="p">,</span> <span class="n">mask</span><span class="p">;</span> <span class="n">nmin</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span> <span class="c"># find indices with valid values, which are not masked</span> <span class="n">xidx</span> <span class="o">=</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">xin</span><span class="p">)</span> <span class="o">.&</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">mask</span><span class="p">)</span> <span class="c"># return NaN if less than nmin value pairs are valid, else return variance</span> <span class="n">xout</span><span class="p">[</span><span class="o">:</span><span class="p">]</span> <span class="o">=</span> <span class="n">count</span><span class="p">(</span><span class="n">xidx</span><span class="p">)</span> <span class="o"><</span> <span class="n">nmin</span> <span class="o">?</span> <span class="nb">NaN</span> <span class="o">:</span> <span class="n">var</span><span class="p">(</span><span class="n">xin</span><span class="p">[</span><span class="n">xidx</span><span class="p">])</span> <span class="k">return</span> <span class="n">xout</span><span class="p">[</span><span class="o">:</span><span class="p">]</span> <span class="k">end</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[28]:</div> <div class="output_text output_subarea output_execute_result"> <pre>cubevar_mask (generic function with 1 method)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [29]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># calculate variance for a cube without need for masking (Prec, Tair)</span> <span class="k">function</span> <span class="n">cubevar</span><span class="p">(</span><span class="n">xout</span><span class="p">,</span> <span class="n">xin</span><span class="p">;</span> <span class="n">nmin</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span> <span class="c"># find indices with valid values, which are not masked</span> <span class="n">xidx</span> <span class="o">=</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">xin</span><span class="p">)</span> <span class="c"># return NaN if less than nmin value pairs are valid, else return variance</span> <span class="n">xout</span><span class="p">[</span><span class="o">:</span><span class="p">]</span> <span class="o">=</span> <span class="n">count</span><span class="p">(</span><span class="n">xidx</span><span class="p">)</span> <span class="o"><</span> <span class="n">nmin</span> <span class="o">?</span> <span class="nb">NaN</span> <span class="o">:</span> <span class="n">var</span><span class="p">(</span><span class="n">xin</span><span class="p">[</span><span class="n">xidx</span><span class="p">])</span> <span class="k">return</span> <span class="n">xout</span><span class="p">[</span><span class="o">:</span><span class="p">]</span> <span class="k">end</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[29]:</div> <div class="output_text output_subarea output_execute_result"> <pre>cubevar (generic function with 1 method)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [30]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># variance of NDVI using a mask of valid values</span> <span class="n">c_fft_var_vegidx</span> <span class="o">=</span> <span class="n">mapCube</span><span class="p">(</span><span class="n">cubevar_mask</span><span class="p">,</span> <span class="p">(</span><span class="n">c_fft_vegidx</span><span class="p">,</span><span class="n">cubemask_gapfilled</span><span class="p">),</span> <span class="n">indims</span><span class="o">=</span><span class="p">(</span><span class="n">indims</span><span class="p">,</span><span class="n">indims</span><span class="p">),</span> <span class="n">outdims</span><span class="o">=</span><span class="n">outdims</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:00</span>:29 </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[30]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Scale Axis with elements: Trend Long-Term Variability Annual Cycle Fast Oscillations Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 8.9 MB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [31]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">c_fft_var_prec</span> <span class="o">=</span> <span class="n">mapCube</span><span class="p">(</span><span class="n">cubevar</span><span class="p">,</span> <span class="n">c_fft_prec</span><span class="p">,</span> <span class="n">indims</span><span class="o">=</span><span class="n">indims</span><span class="p">,</span> <span class="n">outdims</span><span class="o">=</span><span class="n">outdims</span><span class="p">)</span> <span class="n">c_fft_var_temp</span> <span class="o">=</span> <span class="n">mapCube</span><span class="p">(</span><span class="n">cubevar</span><span class="p">,</span> <span class="n">c_fft_temp</span><span class="p">,</span> <span class="n">indims</span><span class="o">=</span><span class="n">indims</span><span class="p">,</span> <span class="n">outdims</span><span class="o">=</span><span class="n">outdims</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:00:45</span> <span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:00:45</span> </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[31]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Scale Axis with elements: Trend Long-Term Variability Annual Cycle Fast Oscillations Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 8.9 MB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [32]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># Example maps:</span> <span class="c"># NDVI longer-term variability map</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">c_fft_var_vegidx</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[32]:</div> <div class="output_png output_subarea output_execute_result"> <img 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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [33]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># precipication seasonal(annual) variability map masked by ocean and desert mask</span> <span class="n">heatmap</span><span class="p">((</span><span class="n">c_fft_var_prec</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">oce_des_mask</span><span class="p">)</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[33]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [34]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># temperature short-term variability map</span> <span class="n">heatmap</span><span class="p">((</span><span class="n">c_fft_var_temp</span><span class="p">[</span><span class="mi">4</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">oce_des_mask</span><span class="p">)</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[34]:</div> <div class="output_png output_subarea output_execute_result"> <img 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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <h1 id="Fig.-2---Dominant-Scale-of-Variation">Fig. 2 - Dominant Scale of Variation<a class="anchor-link" href="#Fig.-2---Dominant-Scale-of-Variation">¶</a></h1> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [35]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># Find TS of maximum variance, ignoring NaN</span> <span class="k">function</span> <span class="n">findmax_nan</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="k">if</span> <span class="n">all</span><span class="p">(</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">x</span><span class="p">))</span> <span class="k">return</span> <span class="nb">NaN</span> <span class="k">else</span> <span class="k">return</span> <span class="n">findmax</span><span class="p">(</span><span class="n">x</span><span class="p">)[</span><span class="mi">2</span><span class="p">]</span> <span class="k">end</span> <span class="k">end</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[35]:</div> <div class="output_text output_subarea output_execute_result"> <pre>findmax_nan (generic function with 1 method)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [36]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">c_fft_max_vegidx</span> <span class="o">=</span> <span class="n">mapslices</span><span class="p">(</span><span class="n">x</span><span class="o">-></span><span class="n">findmax_nan</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">c_fft_var_vegidx</span><span class="p">,</span> <span class="s">"Scale"</span><span class="p">)</span> <span class="n">c_fft_max_prec</span> <span class="o">=</span> <span class="n">mapslices</span><span class="p">(</span><span class="n">x</span><span class="o">-></span><span class="n">findmax_nan</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">c_fft_var_prec</span><span class="p">,</span> <span class="s">"Scale"</span><span class="p">)</span> <span class="n">c_fft_max_temp</span> <span class="o">=</span> <span class="n">mapslices</span><span class="p">(</span><span class="n">x</span><span class="o">-></span><span class="n">findmax_nan</span><span class="p">(</span><span class="n">x</span><span class="p">),</span> <span class="n">c_fft_var_temp</span><span class="p">,</span> <span class="s">"Scale"</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:00:05</span> <span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:00:05</span> <span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:00:05</span> </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[36]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 2.22 MB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [37]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># map dominant scale of variability in NDVI</span> <span class="c"># 1 = Trend; 2 = Longer-term, 3 = Annual cycle, 4 = Short-term </span> <span class="n">heatmap</span><span class="p">(</span><span class="n">c_fft_max_vegidx</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[37]:</div> <div class="output_png output_subarea output_execute_result"> <img 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Pj2S8xKSdNQyRb0EbEJKK/38icoFkJk0ghmHG9raMBJGo7MfngxNts448+Z31q2CFVdEfbx3exwcJ9KezN0b2Y0aHiDSUBGVTB8HTQrqsQ52b0IhhsYlpzZQHzF6BNkBgoLngSZipDq/WZ6aH/GzWhO/NfoXz5TEECL0H8hxK5R5oYZOgYFXh16h4GVQ4JhT4bZk2fY6PO+Ef4QArWgv6LXC4RQrD0WKpKZT1gGgfWMMglhxktnoTzWCP6D6h58FZB068m70wXqwh8xyK/RyMQpKm8G8N8aXn/VKglC6CR4HCEfOGr29mfWCAb5OcaIXznNZD7jb5HJA81LnaGfU14IkdHVFhu7ZhieoGB7viSCX2UcR5iRCAghfwqBqiDMM2nHo2P2hif/W7evjH2VNWsi6H9ldsKnjuLFVf7hT/3i4fTQPsmNMSdOXfnLzYUBFEL/h08s/lQKTT6RJZbmWB+aHLTnsV+LZrw1c/SU2cPKrCfu/oynU0IFgvPvB0NcjLiq+3HIKDJecCJk/zIlly8J/9uS64dzOI73miFzxSzYzfwzEBAsN77MM2aoMWIrn9EPx68PuVP0X/orC88tKaRhBSQXULzzocZ5WAXNFFT5UlgZPhHQcYRBsQiZzDIZ3/qDWb0tI35/5/2c1g5h5oMiRxf3EdIv74aFVC2SpHNYFfsWoYOFMcNaSVR/FZZq4qxnMjh+TsbYFd9KsXEmMJrF/RRmzs+MJc+4TeqDpvTgv0nuEHPi1JW//G5xAC3CgAqhEqHw8juLnZMV/JakIjR8SZd0v8iXRN5gnUC70GSMZUYyBsvIdETJHMgySvfOjqRlVaUAnELy+Z/4+V+rC+HYXzw3LYBCGJThEwIyWgxZWNstnK9ZZyp99bTHFqNnexBnPrqE/I0bbmxHCJUkXJ+5MFASaPNXdn4IAJmxMHwiqPMRhkAICWL3AtR5AUxHBbr+YtKuUWR+Jd3wtmXUwqHGefFEm4NHREaPkAe9yxauW85TP50+fTo82IDHKPXaRoMQCGG23RLHMbyAjIHIKKVZb7yrmB1l0hx0pQCBDRAt3Hx8bGzMjcIAgDNYmY8QLEKngTdlGZQaeu2xxZdMbG7eQS1wsaqWkPxwfVnTusrujHHCfmEtrseaH3t0dFT1VwBgE7VanAbXqN9ETAVdivGTaa8tawyjiHYKT6rfuspu7AjFiti5d9m6Sst7dR47ge+uHgUA7MB3nUihp9VTrGXYftu2be+88w5eXrp06UMPPUR/29XVdfDg1RkQW1tb58+fz/7eKtaF0LDEAwMDnZ2dZ8+eXbRoUXNzc25urtlKm0QpQMZHFWTAUaNIeHl5q8jZ8g83tiPUvq4Sde5dtq6y25F9Rp5wDZYAnEIwkEnyYQjaW1dDQ0NDQ4Ou6w888MCXv/xl5tsDBw68/vrrbhzX+oD6hoaG11577fvf/35eXh4usa7rq1evbm5u3r1796xZszo6OsxWSiK+l0G7hZZxaVSv5d9KlocfcW/5iMhoLHCIVNDZOzgknGDW7CcoQjUCkMGwB6FEbrZFsz2ooetaOq34kRqt19nZeffdd996663M+mQyuX///jfffLO/v99WyTnsGmd0iXt6ehYuXDhnzhyEUF1dXXV1tdlKScyyTsCbr6tIvlEyVqMjN8WpofoRYPT/3Ka0PVSKrIKpFGY998w2JMWaM3UqrR4so08ghCYmrvtVLBZjtvrggw8OHjxYUFBQW3td6s1Tp06dPHnyxhtvbGlpufPOO1etWmWl2EbYFUK6xH19fXPnziVf5eXlIYQMV9JcuXKlq6tr5syZ9Mobb7zxG9/4BkIob9PRixcvMj/J23Q0+a1yekEew5/kbTqKF4qm/fPli1V4WXXPgYK/aDJojy2++MRhwewTzCHwdaOPNdQ4j1xMO+CdJL9VbvgAiLl06VIsFkt7GJ+GHyrDclp4RJUO6saegYBjVikMWzZciRBCFy9evHTp0jTzn9MUFhY60ofFc+LECaaF2bNnz1e/+lV6zUsvvaTrelVVFSOEPT09eKGurq6qqipAQkiXOJVK8dfOcCVDLBZjtonFYpqmCX6S/51jzML432XOTUM2ZpYJo5fuJYfFG8jsNoCIr54Zlx75cbGmaZomc9bJb5UbXkOz9Rawth9tEkfKIAZfqPzvHHPqlAkT7T8ZHx+Px+P0gWhABbOB/O8cM7z1zPNmVmE1TaO31DQNbXzPsaphJVhG/9KXviSTWUbTtClTpgg2KCgoUDu0EAc0n5S4tLT02LFrFx2/khuupJkyZUpjY6OdFGuYIYlt8OOi5hYIZxiClTNFaGxsrLi4+NLDsrFYZtWvuLhY6bjOkk6nPZihnn4kxOfLP5kyzufi4mJ8OzJuCYSazJVUZrI2k58yTyZ+oiRdPpmxMHxCuP177723b9++b3/72wih4eHhZDKJEBoZGXn//ffvuOOOQ4cOHTx48Fvf+hZCaHBwMJVKWS85h0UhNCxxeXn5M88809TUpGlaf38/fpk1XOkGGRPU2szPibKmPbIfkRvhzBSG+QeU9pBxe7wBGUeYJU9ddiL58Ag2M0zebatM8jidYu32229/++2377vvvtzc3PHx8SeffBIhdPjw4fr6+o8++mjJkiXd3d3V1dV5eXmpVGrTpk12ys5gUQgNS1xUVFRfX19ZWVlYWJhMJru6usxWuo3howANijyghWL4KCHByRpGe4kvzlDjvBlb+86f/w2zE3iGo4TNCiIe4BTS2tfa2sqsWbp06enTp/Hyhg0bXDquddcoX2KEUE1NTU1NjcxKVZQaVsujasSErjGyHHspmPMF4JmxtU9PSG0pPy7i8uVP6BRr0X6xyELcTmfv3s6voetIbjjENVS39wr/J+aVxJoK8jvJ2tZEcnQR7iDM2qskRtPYmGeMrict7E1wkWds7eNXwntJZLBfvzKmqre5fyl0HelpxQ8IoScwNhCd/cSpxj3UIiGuIXiMkVO1KHoNt64n3b77eP9EWaN3DQHDtxzAX6IjhIzFIzPC1DJh10Iz61B/4jAKoQfYd+zPMohf1AKbbRxwipJErzX/gdIhvHKNplFa8QNJt91DHDcFTYkZhu8Nxc/2IBeMwmjcBfdeDswCHOB1JGJ4HMni7uHS6n1+0EfoBkyuy5JEbzzR5s1D5vhssQHh0sPz3Wh8I9CgO9srw/jHyFs8ba+nv/176sUEFIjG+5kA+qHyuyyBJqwWIWPNTKBdeDmGVnpTgBhaiVC7N8fykuJne+QH1GcJ8pmv5RvWwTWzxYdQzTUKhAUSj01UytXwBRfF3lJmGXeKYpfwCaGht80z/QMsE+rhTQwWeqDhlTyA+HJT6CE0DmqhDzXL6QH1PhIy12ig+pyYCfmCUBLLYOeJ9thiMAd5DN3ghu4mwzXgmALMsJnrypFdWSetW/kEknAIId8X6G95eMZbD/hbAEeuif7EYRwsA9AY+hvMOolB9gDvsdYqwoNKCJxrFCeXontQmOGAPpXLGDr9yqde+OX5v/ptX4oBD7SrGF7e4cbMPcRwXwAPsDkLN5OlWWGHVlyjAbUIgyKEdJPh9jgbZ2GGaoS97XPbNRreVGHYBJTpjYaBmEAoMJ3LQrKSphFS7fILaBdhMISwvLwiXOIXVXBmGVcJowqaBeMJpA5UEJCBPEWWXxCdrVBZ+w4XCCE8evSI30UAXCSStcvsdCLgFQC8wbKGuR2ALe0aBYsQMCGeaJPpPcoeoq2CgQjeA8JJeLsJrqIrj4YIahchCKHTxNDKeEIqkiJK8OPq+B54wQahgyk8eUMHFQTcJvTyGUhACJ0nC7XQcPxcllRX+SkGAYAm9BUEgmUAMTgBG44zzCpFlHcVhl0pQfYA+6jmWgvWUxehPsJwDKgPIyWJ3gBKYDDTEQBAdqI6T06w6q8+aRTKf4LaRwhCmI0EqC6FFriGgB0iGUQWXkAIXSQgRiGuckzFc7sdJ5nGyJSz0VOO6J0R4AsychhEydQtfQIJCGH0ISN2yb/u5cOUEdoo6UckBR5wG6VRN0GUQIQQQrqO9LSm+vG71MZAsAzgMLje4kAhpv8/sDljIwA/eMPCXFHMDy38FnAc2qMDuARYhO6StY9vEHzCnuH7Xebbyhlb++zsytkt7RBPtJlN9CH4iUuFcQTm1XDG1j4zv0LQZzJRjZSBYBkgyPifqymLcekSDa6ZreoDZ5rjCbQr4289uL/Dje2GL1W02jHKl3F7H+FTMdAz7dDrsTcl0DVI11Ba9eN3mU0A16i7BPqFjsLxrCiBrsDRhb6PluMSZX7i4/0lkkYWsPIJhu3ir2T00lUkZ3twO5WoU+i6putqfX6q23sGWIQAAABAVgMWYdbBG382bUFmh8F/kw0adsxxs6tNxyU5aOszRtX6sqaOD/sQQo/cvGbjQIU3NhZ9FN7Uk3GB0hYkCkZ/tlmgU6DBrlHVnwQSEEIviOqUFHx1DUcFtsoE2kWWZWboZZixtQ/Pu8lnIS9J9GpanmF3kSpmNyWjHBIHHdbOzr3L1lV204VP6S/j5VztwcE1+HleNlnm7uHGbuQ5jKRl3IxUQ++7DCNYNdJIWQhh+AQQJZhaHcFKfj20BE42phnebHDc5uCa2bj9LUn06gnR9rqe9LdHmYlmXIeuaSETg/rIzWsQ6kYI0UrpMbSqDTe2i4UNb2yogt68ocoPHIx8VQomIIQuMtQ4LyCxaoD3DK6ZTfknr5qPYqlTdWMqNZoZ7UI+6TPWuc69yxDaSsxB5Kv+YbCwqWohv9I9FZyxtY/Y95K3KYQSCMEygAT4yTaL/w4aIayH3oEdoRkdcRlH7+FRcXxYPB3qWZLotf/+ZN/gIFtuHKjAKpirPWizVHYgAwqZv+SjukNXa6WuJwWZBfkETKGsfcpjJ4I7fAKEMOsQzItkfyfRxjBAn26CiREwY2tfRlHktZBcVckOSD7oiR476MjACbqQWA5byo746OdQOrRA6txTQZnBf4wXOpQqGC1ACN0lo8cmpGRt1eUbUGbNjK198USbridxXAy/Mb29Us5JQxjxM/yWLMiMkecDgGNoJSlzS9mRjQMVSiV0BD7cLKOjxazqhcVDEwJ0DaVz1D56QBUH+ggBNbJWAjMST7Tlag8a6p8Aw9Eski9Pkn2KZBtJAaA7C5nfrqtEnkWH0sMb8NHpfkGmg5DE9dDD7ZntvSm2EqGentrCgPrADp8IqD5Hj2DWQ3miOpWSI5j1UUmad3ynoJliMbcgGg5qs6tHxI9fiTiDj9ipw43tudqDZLNc7UFm53ZqopLPM/rolroJAwkIobvgihHVcYTZAx4+kdEXR8xB1XTJMbSSiZso3HzccEsPxM/j1tzQV0mHxhhKV+feZS1lRxBC+C+9B9JTG0+04X5NR15DP/XCLzMG/VrYbTTeZsIOuEZdByQwAmSUQBIuTzs2LStKSaJ3dHSUWYl363hW2CDQuXeZODENPxZ+HcL2Yve6SuOfZExAqsR46wH6X8tTXPGE14i0ML+gHtTZJ0AIgcyEt656xuCa2TO29g2ieeiqeWca9il/MXOe+mn6279Ha4Cm5an2QdrETHcdcXKQbryNiav/4vX0nvmEakrYLyS+Xx9//DGzBoExhzTl4BcIlgGASIJbczzq3EIfEt2YXg23mUxAw6igXzlQDHGkMIY74aM9yUVgRNGbC3L1BrUeQJkujmTkC33HZ2ztE+cbArwhoPocJcCcigCCmzgZTtltwVZj2kQm6DTnqZ8yEY94lkHLk+6qFskbcB8h6Skkzkz8EQhePNHWuXdZ595l3kSinf+r386YGhtvoGl5kvv02L53FuwaVf34XWpjQAi9wLAZ7dy7zPuSWACEXIyMLJEBfHiBhNLQ13ZwzWy+WWRGXuMFsplLiuijx4/WP6KIZjGludqD6yq7ceei21qYv+EP8AITBmVYO8zkLegzzquiqwthUIdPgGvUT+gE/0yyfyBomPUM0TlF+W9pDL+SmRoCB+MQHxrZ+GrHpBNzVjC41y8oicw0EfjE8ZYtZUc2DsTvT58AACAASURBVDgTF5MRp14Nwz6kKkpYF8K+vr7nnnvuzJkz5eXlTU1N+fn5CKGurq6DBw/iDVpbW+fPn48QGhgY6OzsPHv27KJFi5qbm3Nzs119DRsUUMFwIc4hmRGmERS0rfgrHIaDQ1cY7SSzO+GJnLA0hjq41FAhxDK8rtKLeaBUJZAObuJvx3BjuyCoKgTgzDJKBNU1al2T1q5d+9xzz33+85//wQ9+sGnTpsceewwhdODAgddff53eTNf11atXb9myZfbs2a+++mpHR0dLS4vdUocQumGi6zPtIAUtDAWGGqOqOqqNIJFAxllKh1rgNldPuOLb9Mt88ThWyFlwny6/PhoDiy1klomga/Tee++dM2cOQuiuu+760Y9+hFcmk8n9+/dfuHChvLz8lltuQQj19PQsXLgQb1lXV1ddXe1EsUMJ3YCGpYMQvDc8llNaO3VojP08pZLQQ/G8acGDKRKfeuGXStubSSBZsDC3c7CAGeoRQg0NDXihra2NLJ86derkyZM33nhjS0vLnXfeuWrVqr6+vrlz55Jf5eWx8VTDw8Nf+cpXcnKuM7F/67d+6+2337ZcNu/5zW9+gxDStAy3OS9sfYHnzixF6IzfpVDj4sWLsVisqKjIpf3LRgRm4swZ0YW9cuXK2NjY2NjYtVVtB/Pav4IQSrYdNPw5KViy7eCZM2fsl5N+DWKSdjquVQE3kuKJtjMfn+ErOL4jhBlb+z5uO8OvZxhubE+2HfS+Zp0/f350dJRvhHmmT59eUFDgQZECgt3uuu3bt8+cOXPx4sX4356eHrxQV1dXVVW1atWqVCol7hS84YYbduzYcdttt9ErY7HY1KlTbZbNSyYmJkpLSzMK4YXr/Z/rKrtp0xAvB0Qmpz//C7+LYJGCggJXn58L5l/N2Nr3yM1ryHy2Zreyc++yJ//7WfFRRkdHx8bGpk+fft1a8U25/ltBOUkxZB42EpNpOODdKYKsggih4cb2fNTOVwp9Ur+vfrW1oLS09MJff4HfA756WvpPEULxBNLSpW6XmScnJ2fatGk4niPjlhm30dOartxHGNBxCraEcM+ePUePHn3hhRcMv8UvFKWlpceOHSMr02l2ZkZN06ZNm8ZW+LCRk5OTk5OTUQgxJYnedWgeMnKQYmkMghbK1IRgkjOJ43sW+x7xYAZ872Zs7Rtccy0euOPDrUQg8TYX/voL4sgLm2ch4ybN+LAxJiDvJ5c341yKbvUYo9txXRYhXU8yGRLI8tVBold3sNKXkWtOVw0LfYQOHdlprF+RN954o7u7+/nnnyet/6FDhzZt2oSXBwcHU6kUQqi8vHzfvn26riOE+vv74/G47TKHGGaegXWV3fhD/sUL/vYgwiwThphJC3Oz8JS8j9y8Bo/1JkrD600QojrlX7mYnkKk2H8cARU0g76P9FB6cn1iaGUMrQz12PnIY9EiPH78eH19/T333FNbW4sQKi4u3rFjx5IlS7q7u6urq/Py8lKpFBbFoqKi+vr6ysrKwsLCZDLZ1dXlZPFDSAyt5FtA/G5OmtQgWITZxgTaJQhe4G+Z2cvKIzev4VeayQDZrdmbR8ax227TuXfZxsnAVEPjL+B9e85imESNrJlAu1L6y3RUUcRfKNPqwyEiFixz2223jYyM8Os3bNjAr6ypqampqbF2oEhCjwPDFkM80Yb2HvG7XCieaJsYv9/vUviDaghfx4db0aTsEeen5aPziWYQQulv/17GbdyGno+eNwqzEEFCUfwIxSffGyKuggjpeo5qH6Fyn6JXZPvYdh/hRhZKmYNYOF0Kq7kwuGzaNGd3GVlo2aNVEAskNgHdcHEbyiGz0imnq2HvoGFPIV7IHtMwI6EfGuET27Zte+edd/Dy0qVLH3roIfpb93KzBFSfs4rOvctwEyYpbKR5daqdzdq3ezvQnbuMLUg7QpVeVgxzURomFKUTlpKf0CsdgTH+DGfQpVfiLQM4RtZsdl/ADrp+dUy90ke8z4aGhtdee+373/9+Xl7el7/85esPp69evbq5uXn37t2zZs3q6Ohw8FxACP2kJNFLGsqnB7YgiXbTpe5DaCns0PHhVmwIrqvslowKEagFI2biHdLRGXZycM/Y2meW2xpxEsjIIeMyDWYPt2fWahbZghaSbsv1KXZ2dt5999233norvZLkZsnJyamrqzt69KiDpwKu0fBBjz60NtaC8WV5kLw/kszY2vfIzQhd0yr2RghuTca7Nvp/bhNvgMMxGJk0HKWABVIsqINrZptJhVhC6FQp4gL7hcfhPBNoV672oK5HXw51XdMVJ9rVkTY8PPzaa6/RK3//93//s5/9LL3mgw8+OHjwYEFBAQ7GxGTMzWIHEEKfwZK2vqxJXs+sBZeS1MyEIITvhwKzCzW4ZjYvfvLYTNHC/9D+EIXOvcueHtjCny9TVDKzfK72YEp/2XBX0Rg4aIEYWpkNKmiZCxcu/OAHP6DXzJ49mxHCl156Sdf1qqoqWggz5maxA7hG/YG0NdgjiqieQjEkTIakLzHcDI8FpEcE8q0SjBc0w0JPm3zHGDMIzwNDanDNbElNwk8j/1TwftGMxSZH9LfLMLB2ahTAuUYVP5/73Odeu55Fixbx+9Y0bcqUKfSa0tJSOq0gn5vFDiCE/kO0UDIbCFkWqCDzb8ZZfgzjILKHCbSL/MWoRmDKW+d0r1uIrrlZH2Gu9qDZZhi/ugzpbm8lOQTtlMRKB6Gwj/C999576qmn8PLw8HAymUQIjYyMvPvuu8jl3CwghP5gNpWrBRONHokv2AMYfwJiaCVWQfpeeDOfuKtaqBo+k3GAPw3xi9IzJWH5CULgqCC6RwDfoYjPiMiq+JLS71KAKrfffnsqlbrvvvtWrFixatWqJ598EiF0+PDh2tradDpNcrPcf//9TU1Njz/+uIOHhj7CQEDiX5SMQiZXpE2piyfaEOrOwgH1uPGaDPZrR0YTZgUzEtIQ+pGw0Eu3vqyJuCgEDDe2p/SXsTk4Y2vfILoWb4VXrkN+dhBatuoMA2LprwSZ0uhpeLME5VyjKMP2ra2tzJqlS5eePn0aL7uXmwUsQv/hPZni7UnldHYcYYjcdM6CU0HiZf7ih0gCMesqu+V7f3nBoN+rxDsxdIpigQxvmIzYm+qGWyW8RqSezlH/BDTFGghhIMAVjAibuL61lB1hQmZsEkMr6Wo/gXZNoF3ZHFPKnLuDWuhN/9P6siZk/hQxZeCHkBr2lRJwVnEyJINE4pCdkOczCFh4vSMXhDcHBQw1zrNmDoZ33KGOlEfTB3aGehDCoED8UeJWDDu+xCGjNsEWUjzRFt53VWfB19mRq+2N2Y1H9yOTMjOdZ/hDW0LDje2MFhLrsCTRS8SPMfvIbgNiQ5NYJLNrLngpMfyJYIb6ocZ5drIZAL4DQhggnh7YknGAPC2BzrY4fLsQ3ndVOxjODYIC074LIHeQSJRSmWlLaLixPTIuAUPBE7tAVQ33kkRvtvUOIoRQ2lLgaCABIQwWuOXCRmHGzRyE0Tx+OAHgOGatrWXbgum0ExwCccZiRlOV5HILxfBTJv2pOIOgeHpFbFnim4J7DZwvbjix4BpFmYJl/AKiRoMF7fmkYxczYrPzCTdz5859jGefwO1ISaJXPEtf9HDbDKKj8820x3KkCf1DPFtQDK3EcbBMAeKJto0JhFAFIxiG5cR7wzsnkxBl0MK9Gd7kPEMg8IzjVJxo8PTpAcfLBgQHsAiDBTO4Xtzc0C/1NjufdD1J+3ZmbO0rSfSuL2vCA+wi4yULDo545MTQ+bgJ+DlpKWMnvzQc3W95OguZARieIUgmzq/kk4zjuoAQOv9Xv43X8ENOsxM9rUHUKOAW8qMprs7o6wJYFJ8e2ILrfPBdYcFB5o4YTunHrJSMzREcDttwJYle3trD0+3y/kOZI2panr8aoPrMK70j0pcCyyGuC/kb/gBvkKs9iH0kUCkshIxC1CigAD2FvRhHohDJi7/22GL7ewsvZsmmxWsE8BsbxjEy097iDz01vAC8KzKewRDGuc27QwVeQTqpCgbrq6G5ScMLsFMopYlBRqcg3jm9f3JVx1sP4D1kY1BMFgBCGFzIK6d775682/PSw/PpV348lCJ7YgSYfHUCxZKBb7L5ydwFMRoZ90+KKp9WG5nobsYtLeB777K1+cVw/yj2iDKyx4cjZTUW5iMEixBQQjXdjAWItnXuXUa3hmZNarS1EGu/TI4CcdtqJn6GemPWfWXWgjM74YvKOFT53KHywsA7VCV/GBwslHnG1r5c7UHD4RDYTQpdgwQ3Zqj3CxDCEOBU3cP2H9Ez8ZTitOyRJGTR1kLHwbrFq5pZn5y1PNE0Ziqehc03E6AreT0H18w2c37iAfXQNUjQdeUUa+LZJ3wEhk+EAKVxFIYY/hxXaTrltP7EsmnTphUUTJ2cr7w9nmijJRC7SX13eXkMM5aAn5DPsJHl5zEg65GER9QsAaxZg26WigEPeKAfIWsOQwZJT+wNW/7zk6ZbbR4LGU0rjTKpu3iYCt4h2YPh/oHsASzCcCB+D5WPBeCJoZXMzukWgc62hfUvC1WQX8AiJ87gxe/BztExAg2TzLFgzdDkLSp5w2ii/SeqP+GxrFJ0sflLh4sUT7TJ7x+cItcA1ygQQGSqqGSjTLdZWAvJjH1RxayZ5gVPUkvI5HySBZDfreQOGUj3IV2kXO1BD9KfupSMRmmfzI2glQ9CYKxhJel2UDPLgBBGAdKWGTqL5N2q02d0x/Jf59djKxArIvlYLWz4EIuZIASGT28t3o+ZcDoSqPL0wBasHHQxBtfMtrBzj/vJHMlnTRzaZIA8mqwaeHphIJuBPsKIIP9eb+bbnEC7LgwumzZtWiwfIZPGjnbNRayzUPC6kHGyVsH2dJ+fNdvLpXDNlrIjGwcqgh8LWpLo1ROO7Y0MkMfg08/VHtR1qSd5Au2S3zjyWHB1BtY1CkIYOK6fMP0akqPs6Z9PoF2KAjko2Cfm+k6X6HQZykQk4eFlKf3llrIjGwfUZjOm/auqJqbZNszRZ2ztc2NG3CDP2KwaR2Z4bSFMxiI6Uk2ZBinWAFnoCdOVoBtHM++lZKPG+z/Nfkg7S6OXg5FuN3EfW0p/ebixHUemmAWFZpzogEfGccr/hFljpoL0mBmCIHMNmaTQsFRe+kVljqVaHsvPJ841Cn7USAIWYcgQ24WGgf5I3b0WQysns35fjRTFC4iaf4BA8oMPNc4rSawkJQzjiCuzDj8ifgihzr3LxCois1vBT7D/WTzIQdVKayk78vTA1QyZQ43zBA+GYM9kLI1llAw4l56feKJN0/KwFRgZf4YvpPWctK5mSum6hpDuUnnsAEIYSgRyaBapoaqFZs0Qv96DVHCeIWPkERU0vNSqeWcMv6XvF1m23MuITAZXmAXmEP8tczjPZMOlUX3kSoJV5wy6cp8fCCHgPMz7tUwr6U1bNoF2RUAUCXywDB8CIzlAnqxkRNSwz0+mQ1GMNe2kR0kiJwxBVdzrtCNX3oLHIviBRR6j68ozzgc2WAb6CMON5Agtvg67Ov6BeFYjiaHzmelX48faE1XDfY3Dje0tZUeYeQF5sSRKRm+cMdbGbCQGP8llxqjXydl9w4G8tsUTbUpVgEzDBEQSsAijAJ5KnrRffE8M6Xa6fr7yduSaPzN0FqHjym2WHW3jQBtCFQghtPcI47HkDU2zkRuMqUcMSoEJyJ8gOQRj48qeoQvYcYpKPnLWMsyRn8DwCQIMnwACBx3PglSiEkIa1WKNIJwskZxrijgJ3UAzOaPxaA16J4ZxPaqOUN4LOtzYjtOWdu5d5v1E89ZUkL+ndvpTDYH+RQMiJITgGo0sTOvg/WiwYHpHg5MTh1Yg3rPK9xcyisXvTXw47JLFN0Xco7musrsk0euSCnrzIiKOfRVnYjJkvPWAA8UCggpYhFFG8r2YRJNHHt/NQR4LLyh8fI3ZVBU0xA2bMcAqgFdJHjOnMVlDG9PW/MBMGvqsRbdg4QUxYhQhEMJog/2lGfPLZIkKRgPaiORX2sQbCTTz28/Y2qeaTY3P8xdDK3HnN+P1pbk+GigoYhYEv70SVvoIIek24Bf8REs05CvHfYa4vQumgxRgcGmCCCUs5IczewMwG9bC9MIGakREoAojg65rafWP36U2BoQwWxC3dEON85T8PJLyFoTmFRCT8cEI8qsMX3L8Pjfc2E6+ckpgcvQ6dH0GRGffHbPc0eovIITZhXy+GEPWlzWRZnF9WdP6siazLYPcegKYjK8pHt9EC9MtmY0JweBBkIbpC1TVsfTT/5bWdiPzLL5ZiI5gYl4gtFg20YYa5+GoejQZgogDC0nTQDcQoTMEQ1dg9yBWIFZKN66M4dgP1b7qCbTLbNJ5Zs/Wxg4CYiyoIAghEGJo/9i6ym6siOsqu8mUT9irw8xiD0ZhiJhAu/Bd9uauxdBKRpksxPtIztNCppXG/9LWoZI3Mkevo4+I57WHhzwaWI8a7evre+65586cOVNeXt7U1JSfn48QGhgY6OzsPHv27KJFi5qbm3Nzc81WAj6Cw1gkB1eIqzpRvlztQV1P4uQ1JEm0I6X1DNXJ7UJN595l69A8+pQNc4gHGcHU0A5O3EGjaXnMgPrQPeROYsHCC+rwCesW4dq1a9euXfvKK6+UlZVt2rQJIaTr+urVq5ubm3fv3j1r1qyOjg6zlUAQGJ6cuVCwjVgY6NHfg2tmMxuHsfM/exykeFghP6bQMxW0/3jI74G+rVi6lFy+pI7oehIbgghSzESrj9C6cXbvvffOmTMHIXTXXXf96Ec/Qgj19PQsXLgQr6yrq6uurjZbSTM+Pr5nz56f/exn9Mp4PF5VVWW5bN4zOjp6+fJlTQvobeYhA42HG9vjCTR2uRohNDo6On1G9+XL7D2yxuXLlx3Zjyqjo6M5OTmW78WUZ/7vlb/9XWeLFHxwWjVEDTxw5PalUilcNTJuOWNrXyqxa8yhZw8hNIGu29uUZ/5vQdGbkw98m/zZFRS9iRDq71ty002XNU0bGRlG6E38Va72YEp/mTlQRqZOjY+MDMtv7yCjo6OxWCyVSmXcsqCgIBaLeVCkgGBdCBsaGvBCW1sbXu7r65s7dy7ZIC8vz2wlTSqV+o//+I9f//rX9MpPf/rT99xzj+WyeU8ymUwmkyESwuTwcoRQPHFNCy8NL59187t4GSF0aXi54Q9lkphgCoreNNuJqySTyVgslkxazxIQe/pnE+sXOVik4INVkEx50VJ25JGnHUizkEqlcNUw/JZ2zuNBhHbuGqY4/i9XJpeZvRVMLlwaXo6Q7IEKJndFKvhU7cGU/vKl4eXEKFQq9oUL5+yfpjXkm6m8vLyMQhilAfV2u+u2b98+c+bMxYsXI4RSqRTf/2e4kqaoqGjjxo0LFiywWRJ/GR0djcfjIRLCSa6m4SD6R/o8iuP/YtlLdm0u2XjcmWKqoGlaLBabOnWqnZ0MOVWa8EBPefH0gDMu4lQqlU6nzR6DickF0lVZHP8X2y7Tq490DK1kDjsxObeioHORK+HVcLAbbviYVHBdT06gXcXxfyGb+fKcK4HT1qRSqWnTpuF4Dvvo6gPkozmgfs+ePUePHn300Ufxv6WlpWfOnCHfptNps5VAoKCNvInx+zNuLy+Q4R10JchIElU87iPEmE0sJYnhA4b3ya+nw5vlD8FvHMZH2o3Obwt9hCh6QvjGG290d3c///zzxAwqLy/ft2+frusIof7+fvyWZLgSCA540DE9Byyp+bwYyLdWYYk8NIO5CGE/HSU8ixjCysQcLjiBu04JXhiFM9uw6Bo9fvx4fX39PffcU1tbixAqLi7esWNHUVFRfX19ZWVlYWFhMpns6upCCBmuBAJIDK2MJ9DEuGgbydltGEKXTZgmqyTQXyyMumGGrjIr5V2gApidkBRu8uUcbmwPTmpvJ4nQfIQWhfC2224bGRnh19fU1NTU1MisBAIFruoXBpdNm3b1X1zhZUxAM+8W3ViEUQtLEr0ZJ+6IEkHIwOJ4AexrIfNzPF4WT+oiuQdXn3xHxN4aaV1L62o+xWj2EQIAA3afko/hDAAhgiRAUc1OKTBuAng1aPevX8JPWnPVAhjKAE4xiped8kzm5ORPoF1BGz4YxtG6AQSSvAAZIIaCagvFNKxM3w+O33OqkO6B57eTt1TI6z/2huEBKvQGATQxmUTVPpbE8tHFhpEFs4nI5+TCnVgCyX6I1yQUj7E7RGf4BFiEQGasOc3E2wdQD8zArbOMi5hvx/1qJTv3LsOJ0ZXw11q1ea2GGufRQaR2zoU3Iks//W+IK6FkslOP8Sw2x8JkhFHrIwSyEEYJJBsaQdQlmeLAidK5C5OTk4meoGe/CwuGJn4Am3V5yAMpY/8JOq3NhCRHrwuqPXMdob6JfgEWISCFhfdrf/ucHKck0Yt7CnmzQEYFSb+ptaMr/bBz77KNAxXibSJzXzB86y/WAxwJxa83U8HffHyn5bJFlghNwwQWIZABQ0PQLDo02lh716ZlUn7SDwaln6yr7EYogxDyhM6oNQQ/jQ7GUk7u52PDb30M2vSdtK4cBZqO3uwTQPZgOI2q4Fvxb7Mcb9rNlrIjSttHQAVxjx39vBleak3LM/sWRr4roaPoWIQghIABZmmrrDlIxdZMcDKJeIAFvYE3CUmYh9bsX8PxD3heYmuTA5sdEQgRIIQACz/OwdpwQHntzCotVEU+oQENnk3C7NtIQmYKJBhqIWMI4mePTLvB71YyX242qqAFczCoFiH0EQIsTHNgpwvQWn9YJHGpMynjrcl4/SPgFMXoehJN6pyhLPHXH6sgvbHh0x5DKw37CLO5gxBZ6yPMFHfb19f33HPPnTlzpry8vKmpiZkoo6ur6+DBg3i5tbV1/vz5SkcXABYh4C7ZY5GIIS2m46aDmdRlDBzt3LssMipIEFxes68yvivgH6a13bR1SC9koznoDmvXrl27du0rr7xSVla2adMm5tsDBw68NomDKohACAEa7bHFlx6en6s96KwZB1roHoI71VJ2RDym/umBLS6UKKDIPNWG5iD/K0b5stgo1HT1j3iP995775w5c2Kx2F133dXX18d8m0wm9+/f/+abb/b39zt7JiCEEQfHyCl1wqX0l0lz4MjQCBlZjXY3oS8Wg9gitJB3JhSYyRL9VBNkBnfiecpwZhl0/cOcxRKIEEJp5HxmmYaGBrzQ1tZGlgmnTp06efLk6OhoS0vLzp07HTwX6COMPpqWN7hmtvz2tPi5ZMwZ9h2GcYYKSegW071OU3yzYmglHq2IqJAZngibg7jrjnn5wJddMB2SzDsfnqrMTP/og+LliCulrjytkq6j/+7/76997Wv0yr/9279dtGgRvWb79u0zZ85cvHgx8/Oenh68UFdXV1VVtWrVKvVCGwNCCAAAAHjE9OnT77vvPnrNZz7zGfrfPXv2HD169IUXXhDvp6CgwMFSgRBGHF1PalrejK19aGseDqsLAoIpfFF4JqawgKs+UvmLFlXL2xDB0Ag0+SjSfQHI3BFC5vtF5tM/0dswtztiT3VaV84Uk9ZRPB5nLEKaN954o7u7+x//8R817aqtOTIy8v77799xxx2HDh06ePDgt771LYTQ4OBgKpWyUXYW6COMPlj/5FXQQXcoP5pe0uk61Dgv2r2G7kEGxmXtwBWiRoyqZdQhsQpKXk/xUVTfhIIdj+pwZpnjx4/X19efP3++trZ2xYoVf/EXf4EQOnz4cG1tbTqdXrJkycjISHV19YoVKxoaGviYUjuARZgVBMQWpJsYQbMS4RYcz27o3v7h7YGA+/Ponj+ijsQgxtsQcNc1+Qm9pWHsqOFx+R5K3kzMKJYRsx0lue2220ZGRpiVS5cuPX36NF7esGGDS4cGixBgcWnWCCY9qUzeGbALlZC5VoaTJkYPJjqJ/jCPHD2XPZJLokumIaQn6eXnJCHLvLDhARgWhjwGCivzEQZ1IiuwCIHrIO/CjjhImehQsswsMJsx/zLte9jbcXpqQ+/JHlNjMgj5mreTesO7+nQxBh/z4DE5EHgFpbchkbpKGBp/9BomElV1/66iS2SKYVDd3jPAIgSug9cq+wjm5kVG792QpBuwD+OHJw+VoVxhF4XgwRN8O9Q4bwLtonfL23Ni409sHbqXkwgggBACptjXQmxZivdjIawj7Frol1EbdmNaCawf/CnjiZTxB6/BQ+aZ9fwzSfc10ppkNvGTmQFn9rTLaGGgsBApA9MwAUGHzNPmiP4h1/oao0FWaVLowKJI/4sQGm5sNxsyQT7kX9qfSfdQIoRmbGUzhxEy2nyBMgp1K5ll/C60CSCEgAhrUfiWJy+UB+JoMPIX2ebtCFQTrIS1dw7m6cK1QP4i0D2ItPU53Ng+uGa2oE7Rh+ATfPMZc3xE160YhX6X2hgQQuAaOP8kE9Jp2ICahb0Q4fTGEAy1HDpiFHpmcAfTOycDnbpP/m3A8O6oXgR61ASWQ1K5mFdM8i+ZRooMw2CCZcJ7I4IMCCFgiiB2lAnDo8WPdAqCUzRQZG0DiiWNCJvgzUnmpQq7Oi1bZvgu0HJIvsJrJtAuUgyzOS4CYhTqCKXVP8EEhBC4RseHW5k1FsQM9C+YBKT19BEcFIMmxYboDVkW2OjjrQfo/SC5FwvxNnTiN378ojjuJgh3M0rBMjCOELgKzkqKJJQMpM4pvBxTmLUWIQ3JP0f/yy9jGF381Au/lD+QIDuM4cwYhq4XmWxtcFsdASxC4Brnzn3MhLTxg7HM0nAAAScINoTvSPbL4s48fr14wJ/ZOw2jVYabMTVLLG8BcZNaiRqFAfVAKBgbY3P90dATmWYcIJgR0FEvATseQ8dwChCMlKDXYLcqCYfBK8XD58X97hn3wBRvuLHdLy20MD19YIUQXKOACGaSXsN8aRYACfQeGLlIQ18N2kTDDzlvtJUm2s5nSnhEUTdCCgAAIABJREFUpg+js3Xz8I5QulOQHjJB55QxsxFLEr0kxFRQPEAMWIQAi9mAX/v2Hz3rm30DBQ/2ACQB16gZJKEMo15Mv4ChetE7IVIkUEE8VF8gWvLTXBDh9CsHm65byLvtZQEVAIsQYEnpL+dqDw6ume3sbvkablML11V2IzAupRlubC9JGLe/9Ei7LCeGVpKrhN2YWGaGGucxdh6xGq3NI81P1YQXsIVHDkFHqPJmn7+dhRYm5oXMMkBo4Gt1kANkwCNkH1BBQ0iPoCCyV2zeyexfMIVTPNFGD8nPeKBc7UFv5RD6CIGsQZy231+gBVfCvuWXnX1RJYnejz/+uPTT/4YmryGWRkdqhCOXFO8hZWRvZectUwUsQsAA8Yz2jqQStd+IBFCYLRAuLc/mJjVHr8MLZPS9I1fDsIOAtxTFIzfIr5g1ro5S1VF0BtSDEALGMCEzZj18ltXIQgdh595l+IOsdswAhPDmaPUXw7AaGjyggnzor9aXNakejnafMqlHaUhiNqZSlCR6W8qOqB5UEgv51SDFGhB6+NH0Httk6yq7Nw5U4BgZAAgyZEg+GWU41Djv6YEtzGZ0F6AkZu9/ZpWRPyjAA0IIGJPSXxZMnOa9XxQbgsQMBXPQJriji2mCQz2bR0DAxiKOMsVryMBE/tqq+kUEadt8qBHq0zAhcI0C4UKyXnmWr4QYgtHoGiT4KDxO9XIBNNZuaBhHeYJrFMgKDENm7KcbtZObjU/MDwBhIWLvcFHCrhDu3Lnz7Nmz5N+urq4Vk/T09OCVAwMDTU1NtbW1mzdvTqVSNo8IeIkgy4zlYRWQ9JIQKD+k4TR4QEYk/ckztvYJnnxXK4VMxKkVIjQNk3UhHB0dfeyxxx599NFz586RlQcOHHhtkvnz5yOEdF1fvXp1c3Pz7t27Z82a1dHR4UCpgYDhZeAM6KirgNWiBD2pIRK+2QhSNeFHOlBvRTKo51fT0kEdUG/LIly+fPnXv/51ek0ymdy/f/+bb77Z39+P1/T09CxcuHDOnDk5OTl1dXVHjx61c0TAewQhMzz8/KIOgncYroF3YSF0rXAAGWqcJ6gsMrNeuGSLuxdKoyt+Aov1zDKFhYUVFRVvvfUWvfLUqVMnT5688cYbW1pa7rzzzlWrVvX19c2dO5dskJeXx+zn4sWL999//5QpU+iVn/vc5773ve9ZLpv3DA0NxWIxTQvo+44kQ0NDY2Nj+fn5ZM1vfnO6tHRW595lMoMWmOmZHDfdJnfYnt5wSLDZxYsXY7HY6Oios0d3A++76Gn/DU2O3GaqpFKp4eHhsNcLZFTBc1qX8JsJzL6hxnn8c8s/AE5deZpP3fgjhND5c/+br+Bm3HDDDTKbRQaHU6yRfsG6urqqqqpVq1alUqncXNFRioqK/u7v/u4LX/gCvXLKlCnxeNzZsrnK6OhoPB4Pe4VPpVLTpk1jKsD4+OX8/CK0dw2vhWYza7tKPNGWToqeDU3TYrHY1KlTPSuSNS42/y/vD8pXK8NiOFX7UqlUOp0OV102hK/gF9V3ktO6ZNpzP6fX8Dtx6VqlkyviceMKbkgsFsu8T4TSin1+2Tj7REFBAUKotLT02LFjZGU6zQbQxmKx3/md31mwYIF7JfGAvLy8vLy8sAth3iTMel1Pri9rmrG175GbWTm0mV/GGnwJmW9jsZh4m6yFviyCGdVjDl08TdMMn6jQQVdw7AK1Nj3Lxeb/hUdwmrlJ3bhWQ43t8QSKoZVmFdwyqroWVB101Ddz6NChTZs24eXBwUEcIFpeXr5v3z5d1xFC/f39EXg3zE6eHtgyuGZ2x4dbDXtBPAtggaH0dsjYRwWRMpLYmaTM++5YfFshGFiAXSEsKCgghvaSJUtGRkaqq6tXrFjR0NCARbGoqKi+vr6ysvL+++9vamp6/PHHbR4R8IuSRC8eWWg4Iy6dR8Pw59DI8ng5t7BMkBFE5HqJYaIZN+TKcLIn+1iIGg3s8Am7rtH169fT/27YsIHfpqampqamxuaBgODQ8eHWjYmXEdduirsMHWlkBbPLAmbIx9nCy4pnGNqFrl7/CbQLIYdfvMA1CmQp2CgE0yEsqI42gTsrRt6xSSZLkbf7Xb34QbAIVYNrPAOEEFBG15Ne+vSiSkmi1+2ZNCyoIBiF9mHEb11lN/2vuO64p4UTaNf0GTBzizEghIAVOj7cathoum1PRKyZhuQA4QKbg2RGTLKeZFYytP+YNbQu8hvHE20uRdM4bhHqCKV15U8wcXH4BBBhcNQcuNGCjKrK4kwIGZtLw9D/CbQr2tG8+Rv+4Pzk8saBCoQqkNFrGWP8ZcRwbC6aVNyAvyfpCOnKKdPANQpEC6XUa44Q1bETbviZLbShdvyikbwvmpaHEFpf1rS+rIk29QznfG8pO8KYgxsHKugNlDoLMXYiSNeXNfE/vzAIPRrGgBACFhlcMxt7hCLmrvQeVTNCBmvuNYGJT3aYDbcbn+wjN69ZX9ZEr48n2vCd4rWQkT3DbRD10sProoXgGklcGkGoq/tFYT5CILJ45iCNpNlBTDeP448MlVLGjozkXWAoSfQaikdL2RFe8AgbByoE32LkX3o69y6zU7OeHtjSUnaEnIUbWphGmoWP48VwBOgjBKyD2wU7E+0CYSHg/VVOwZiAPGItzIiMCjoVS/z0wBY8E2EMrYS0MmLAIgRsYXO2egFkb2RSCwd3HihcGkeBu7gAJdZVdme8F4Y+T2sIHKG4GOvLmuwEkcbQSlxaV+x4HemKn8COqAchBGzhkj5hK5N0QEY1TMZVUvrLfhchlMgYbVhdaEV0Vh3J8rrKbptVjNiFtsvFkkYWBtQ7XgpnACEElCGmxrrKbgfrP4GoIP7XvWlFo43YX50lrk4LCCxC3AtIu0bJ879xoEKpLtD7wXYhfVzaUhxubLc5sjA4E/MGVQdBCAF1cJY1DF17+ZZX9WWWMQGzRwLdMKwj7Ex2D6xAZr2AtOzZPFBL2RFGOA3H3UMKJ2+AYBlAGU3LwwPqcS3dmDDdEht2TD8io5d8e50l4sewcaCipezqMnaI2QxBUr2MYCMSDG07In44XsZsNKGDxXA7A59NLGSKAdcoEB0euXkNXtg4UCFTV+mxhoaNOwSdAmHB1d5BAlOt3Mu7ZgddfQSFeiYajwAhBJTp+HArmjQHrY12Iv5PMAcJudqDZNmmQ6wk0atq3oE5iCEKZDhA3kzzBF/ZBD8JdN41wA3ANQpYBLcUGwcqhhtFRiHvHeWh42IcLGGIINfHfpYZeUnDW0Y+Tag868ua1lVeXXZJ2ORhEnPb75V0nKsjIhR/EkzAIgQs0lJ2ZLixXbK9YFL1u1aoEOPXaAdQQcLTA1tQMHrmmBEUPpZEgI5QWv0TTEAIASuQiipTS4cb26FrUExJohdfDboFhDcGXwhaoGbQyhNJQAgBZXCwjLUXVWjcM4IvLNZFuFwew6uO7z5JOtlNoLIFWRhQr8MM9UA0wMkY7bQOtIGIF8A0RJzmgR3gC08PbGGyrPnbWci8btJDeP1HPcVaULsIQQgBS9DSpdRk85oHKoiJoZW4CWbmvVMyCsGCdAqZpKPWdmvhV+SRCFTubAsdhBn7CPv6+h5++OE//dM/feaZZ8bHx5lvBwYGmpqaamtrN2/enEqlHDwXEELALkp126ylNutHzCrIxcGXdONAheo1gcgXmww1zqPDbl2SQ0kEYzmiytq1a9euXfvKK6+UlZVt2rSJ/krX9dWrVzc3N+/evXvWrFkdHR0OHheEELCINeODyTJDT+0LQ9mwjJHmD096jqRtbriA9jG8hviOKCmiffk03IPlFx1XTEkXZp+4995758yZE4vF7rrrrr6+Pvqrnp6ehQsXzpkzJycnp66u7ujRow6eCgghoAbdTFtIJUr/S4siNOIYfB1o5cMOUugy9BdVYTO7XxnvI7ZB6cM54u52w1XgxsS8DQ0NeKGtrY0sY/r6+ubOnUv+zctzMm4IhBBQhtZCww3MarthllFwivIYNrviNhTeJKJB5N94Tpw4kXs9P/zhD5lttm/fPnPmzMWLF9MrU6lUbq5bGWBACAHrmL0m8+sN32qJBEKIBw9vGQC+Q+6I4L6Ib5nSDaXzqwUQfTLvttLnS1/60pXrqaqqone7Z8+eo0ePPvroo8zhSktLz5w5Q/5Np50cnQ9CCFhEqUqLZ2iCEA8zBFMC0YA56AG0rSa22/iqQb/WyFecgL8GWZiMEHcRMhahpl3zl77xxhvd3d3PP/88WTkyMvLuu+8ihMrLy/ft26frOkKov78/Ho87eC6QaxTwAaKCMPU8T0mil06vPNzYjpCo2QV72nGYW8CQMR8sM8tuVNHVp2ES5xo9fvx4fX39PffcU1tbixAqLi7esWPH4cOH6+vrP/roo6Kiovr6+srKysLCwmQy2dXVZaPsLCCEgEXsTJhHfggqKIZpc/kWFt4kvIGE7xqqIL4pxC5/enKGTsn5IuxnWo8Gt91228jICLNy6dKlp0+fxss1NTU1NTVuHBqEELCI/a4LMGUMEbeejBaCCnrDusruGVv78HzUiHJail9EGMvSzFIUp9gO7NwsFixCmJgXyEbE77lBq9jBZONABf6QNZ17l+ELC12DXsKrYEmiN+MzzAzPZxYYBA7VAFYWHSEdaaofv0ttDAghwCI/9lZmUJTt4mQddNMZT7SZTfoKKugeMi5NuP5RAlyjAIvg3dOpObKhZ0sM6X8dbmyfnCq2Ar9VwKXzBqYLvHPvsqf6n6PjG+UhDlLaU0q/I+IXytC9NaYtBMu4UxL7gBAC1rFQdXH7Ak25mBhaiVA7ut7sKEnARfOIkkQv4xdp/tm33TtcxnrkUn3B52hn56rCFlghBNcoYB2lULeSRC/uUwGfkgyFm4/nPPVTv0uRvcTQSpIC1/4Ti/dgwaEC0aTeAEIIyML3HULYNxBhnH1pU91VPNGG0ym47T6xnI87bSmzTDABIQRk4cdLKKmgU/2LABBe4ok2R0xMR4ihlbhSW9NCXV0FxQPqfQT6CAEr4GhGv0sBAGFCUv+wS7al7Mi6ym6E3J2JkO8NlUdiViWDnwQTsAgBKQS1hQxrEwPD5wEgI+QVc+NAhZdVxpUJC8MDWISAFXhzkGihWQgcRIoCgAwbByp8mZWFaKFkVYXMMkC2I5gSAcJnACAjJYle8dxkOMQ6yK+POo6XUfkEVQdBCAE5mAqJLULJcYTBiQ4AgOCAo1JJ1bh+zKhv9SWw0x+6il0h3Llz59mzZ8m/AwMDTU1NtbW1mzdvTqVSgpVABDAz/kgmTJBAAMgIqSb0X29gugaHG9vlj64jpOvKn2BiXQhHR0cfe+yxRx999Ny5c3iNruurV69ubm7evXv3rFmzOjo6zFYCoUO1Lx30DwDkIYOLyNB7b4Yb0fafkgoiS8MnAttHaCtYZvny5bFYjPzb09OzcOHCOXPmIITq6uqqq6vNVtKkUqnDhw8TNcUUFRUtWrTITtk8Znx8fGxszFoqwuCAz0I3em3LLUBIeg7CdZXdY2NjjhdPkrGxsVgslpsb7kCwsUn8LogtUqkUfqj8Lohd3K7g8UTbBNqVGrs22V7n3mWPf9fh68ZX8KnfPZkaQyN/80X8L7lTeXl5OTlZ1HFmvbEoLCysqKh46623yJq+vr65c+eSf/Py8sxW0ly5cuXFF1+cOnUqvfLmm29OJBIoPFy+fHlkZCTsQohPIZlM8l/FC5R35UyZ1Ll8+TL9fhZSrly5MjY2xteXcJFKpUZGRgoLC/0uiF1cr+Aj98RL3hr5my+ije/hFesqu0dGHnf4IFQFj5e8hRAabmyPJ9quvuBufI9U2+Li4vz8fPHeojSO0Mm35lQqxb+GG66kKS4ufvHFFxcsWOBgSbxnfHy8pKQk7EKo6/q0adMMK8BQY3tGc/DpgS0ky75bRZQgNzc3Fosxr1ahY3R0dGxsbPr06X4XxBapVErTtJKSEr8LYhcPKvjEVY/L7Why4EQMOXzd6Ao+gRC6foSG6m2yMHwisELopPFbWlp65swZ8m86nTZbCYQLs+6KdZXdHR9upddAdAwA2MGbsYOkyx9PBaPaO4jREVKPlQmoFDophOXl5fv27cMO6P7+/ng8brYSCBeCyvnIzWvI8vqyJkgoCgDWMByh5CrEwQMvr3ZdowUFBcSTVlRUVF9fX1lZWVhYmEwmu7q6zFYCocNQC+lsMp17l4VuZlEACCC4D2LjgFumITYHybB9y/tJq2eKiWbUKEJo/fr19L81NTU1NTXMNoYrgVDDTMBEluHVEgAsE0MrsUrFE20u5ZSJ5b/u4JB5CJYBgGuZZcgIel+LAwARwQ0VnEC7ps+4buAg5MEngBACFqHdoeAUBQBHcMkQnEC7GEPQ/murhQHygc0sA0IIZEAypwy8XQJAMOGrsFPOm8i4RrModwBgDcNXVOwLpQ3BIKfJB4Asx41U2hbyqwU2WAaEEAAAAMhqwDUKZIAee0tWbhyoaCm7uvz0wBbvSwUAgAy8X9TBXgzlPr+gWoQghIAVhhvbEYIJeAEg6OAhGbT4OdWLkUZ6WlHZVLf3DHCNAiLMImVIH+G6yu71ZU3eFgoAAAVwEjW8PDF+v7+FCSYghICIGFpp+P64caCCRMqsq+yGzGoAEFiwRRhDKy8MOurFiUymUXCNAhlRnZIXAIBA4VJEN7hGgWzBTAXdiMYGAADwBbAIASnEygfJ1QAg29ARUp1UL6D2IAghYB9QQQDIQnQd6YrjJ1S39wwQQgAAAEAZCxZhYKdlhz5CQETGbnYwBwEACDsghIAUhtkoQAUBIMhMoF3uRX2n1dONBtUzCq5RwDWYwYWgmgDgMS6nwlceGRhUHQSLEHANmJgJAIBQAEIIZEDwUin2upARF/FEG5iDABAxojQNE7hGAesMN7aXJExlEsQPACKMrp5ZJrBJ1sAiBAAAALIaEEIgM9g7atjnB+m2ASA70SOUdhuEEJBCrIXey6EvBwUAgIBdo6ofv0ttDAghIItACxFCQ43zXB20xFCS6IU+SADwEQtCGFiLEIJlAAUmtZDNwY1nO/OpUAAAALYAIQSUiaGVJYmV2PgbbmwHywwAspC0jtKKqWJg+AQQNbAJKBg+AQBAhLEQ/BJY1yj0EQIAAABZDViEAAAAgDIWBtQHNmoUhBAAAABQRlcXNh3pmkulsQe4RgEAAIAAsXPnzrNnz/Lru7q6VkzS09Pj4BHBIgQAAACUsTBAPo30mHCD0dHRp5566qWXXlq0aNFNN93EfHvgwIHXX39dsZhSgBACAAAAFtB1lFb7gYRwLl++PBYzlstkMrl///4LFy6Ul5ffcsstSocWA0IIAAAAKGPBItSR/sknn/zwhz+kV1ZUVHz605/Gy4WFhRUVFW+99Zbhz0+dOnXy5Mkbb7yxpaXlzjvvXLVqlbWS84AQAgAAAB4xNDS0Y8cOes3MmTOJEIoh/YJ1dXVVVVUghAAAAICf6Fo6ram5RtNa+vOf/zxjEVqjoKDA/k4IEDUKAAAAKKMjPY3SSh8LmWVGRkbeffddhNChQ4c2bdqEVw4ODqZSKQfPBSxCAAAAIEAUFBTk5+fj5cOHD9fX13/00UdLlizp7u6urq7Oy8tLpVJEFB0BhBAAAABQJo30tGLUqOT269evJ8tLly49ffo0Xt6wYYPS4eQBIQQAAAAskFYfPqG2vWeAEAIAAADKpDWU1hQH1AczwZrjQtjV1XXw4EG83NraOn/+fITQwMBAZ2fn2bNnFy1a1NzcnJsL6gsAAAAEBYc1iU+Bo+v66tWrt2zZMnv27FdffbWjo6OlpcXZgwIAAAAeo6O0ah9htrhG+RQ4PT09CxcunDNnDkKorq6uurra2SMCAAAA3uNesIz3OCyEfAqcvr6+uXPnkg3y8vKYn4yMjDQ1NcXjcXrlZz7zme985zvOls1VhoeH8/PzNS2oLnA5Lly4kEqlSOBySLl48WIsFhsfH/e7ILa4cuXK2NiYrgd0/jZJUqnUhQsXItAbkm0VvLi4mG+rI4zDDyifAieVSomrQV5eXlVV1ezZs+mVxcXFhYWFzpbNVaZMmVJYWBj2elJYWFhYWBh2IUwmk7FYLFzPjyE5OTlhP4tUKjU2Nhb2s0DZV8FzcmRyrbiSdNsXXHxTwylwSktLjx07Rlam0+yFy8/PX7p06YIFC9wriQcUFBRMmTIl7PUEn0XYhXB8fDwWi02ZMsXvgthC13VN08J+FqlUCj9UfhfELlDBedJoIo0mlH6iK27vGU6mWDNMgVNeXr5v3z7s4env72dcoAAAAADgL05ahIYpcIqKiurr6ysrKwsLC5PJZFdXl4NHBAAAAHxBtxIskx2uUcMUODU1NTU1Nc4eCAAAAPARHaVVXZ2BdY2GPpoLAAAA8B4LFmFgxxHCNEwAAABAVgMWIQAAAKCMhcwy2dJHCAAAAGQDUeojBNcoAAAAkNWARQgAAAAoYyHXaDZmlgEAAACiC7hGAQAAACASgEUIAAAAKKOjNCTdBgAAALIXXdfTuuLwCT0dTDckCCEAAACgjG5lGqaACmEQywQAAAAAngEWIQAAAKCMrqd1Rdco0qGPEAAAAIgO1lyjQQRcowAAAEBWAxYhAAAAoIylXKMBtQhBCAEAAABlrAyfACEEAAAAIoOFAfUoqEIIfYQAAABAVgMWIQAAAKCMjnTV4RM6DJ8AAAAAIgTMPgEAAAAAkQAsQgAAAEAZC5llwDUKAAAARAerSbeDCLhGAQAAgKwGLEIAAABAGV1XjhpFqtt7BQghAAAAYAFIsQYAAABkMTqyECwTUCGEPkIAAAAgqwGLEAAAAFDGUtQoDJ8AAAAAIoOe1nXFPkLF7T0DXKMAAABAVgMWIQAAAKCMhWmYwDUKAAAARAgdIeWUaQEVQnCNAgAAAFkNWIQAAACABdLqM84HdBwhCCEAAACgjIWJeQPrGgUhBAAAACygR8YihD5CAAAAIKsBIXSG1tbWK1eu+F0Ku/zDP/xDb2+v36Wwyz//8z/v37/f71LY5dixY//0T//kdynscvbs2e985zt+l8IBWltbx8bG/C6FXRKJxKlTp5zbX1pX/zh3dCcBIXSGV199NQL1pLu7+3/+53/8LoVdfvrTn544ccLvUtjl1KlT//7v/+53KewyPDz8xhtv+F0KB9i1a1cymfS7FHZ56623nKzguo70tOJHqo9w586dZ8+e5dcPDAw0NTXV1tZu3rw5lUo5diIghAAAAEBAGB0dfeyxxx599NFz584xX+m6vnr16ubm5t27d8+aNaujo8PB40KwDAAAAKCMJVdnZotw+fLlsViMX9/T07Nw4cI5c+YghOrq6qqrqxUPLQIsQgAAAMAC+uRQQqWPiMLCwoqKCsOv+vr65s6dS/7Ny8tz8Ez8twinTZv2+OOPT58+3e+C2CIWi61Zs8bZe+M9AwMDf//3f//KK6/4XRBbnDhxoqCg4Be/+IXfBbFFf3//6dOn/+zP/szvgtji4sWLly5dCvtZIITy8vK+8Y1v5Ob632Da4aOPPtq8efP3vve9jFs2NzeXl5eLt3nzzT2qBTh+/Pgf/uEfMs+DzLEQQqlUyr3r7/993bVr1759+/wuhV2WLl3qdxEcAM4CcBxnXVh+EY2HSv4sbrrpJjcKcMsttzz77LPWjlVaWnrs2DHybzrtZACq/0J48803R+CFEQAAABDzqU99SrW1HxkZef/99++4447y8vJnnnmmqalJ07T+/v54PO5gwfwXQgAAAAAgFBQU5Ofn4+XDhw/X19d/9NFHRUVF9fX1lZWVhYWFyWSyq6vLwSNquvI8GgAAAAAQHSBqFAAAAMhqQAgBAACArAb6CK2wc+fOe+65hwQ7DQwMdHZ2nj17dtGiRc3NzTjG13BlQOjr63vuuefOnDlTXl7e1NSE3fGhO4tt27a98847eHnp0qUPPfQQCuFZYIaGhvbs2dPQ0ID/Dd1ZdHV1HTx4EC+3trbOnz8fhfAsEELnzp3r6Oj48MMP/+iP/gg/UShsJ9LT07Nhwwbyb1FR0csvv4zCdhZeowMqXL58uaWl5bOf/ezPf/5zvCadTv/xH//xqVOnJiYmdu3a9cQTT5itDA5/8id/curUqVQq9eqrr27YsEEP51lg0ul0XV0dvh3hPYsHHnhgxYoVeDmMZ1FTU8OsCeNZ6Lp+3333HT9+PJVKtba2Hj58WA/tiWD6+/v//M//XA/5WXgAuEaVWb58+de//nXyL0n8k5OTU1dXd/ToUbOVweHee++dM2dOLBa76667+vr6UDjPAtPZ2Xn33XffeuutKLRnsX379kWLFpF/w3gWyWRy//79b775Zn9/P14TxrPo6+u75ZZbvvSlL8Visfb29ttvvx2F80QInZ2d3/zmN1HIz8IDQAjV4DMAGSb+cTUbkH2IC66trQ0vh/EsMB988MEPfvCDV199FYXzLH71q191d3evXbuWrAnjWZw6derkyZOjo6MtLS07d+5E4TyLX/ziF6dOnVq+fHlNTU1DQwOeTyaMJ4I5e/bsuXPnsJs6vGfhDdnqEXYOw8Q/rmYDcort27fPnDlz8eLFKMxn8dJLL+m6XlVVVVtbG7qzSKVSDz/88LZt2zRNo1eG6ywQQj09PXihrq6uqqpq1apVYTyLy5cvFxcX7969W9O0vXv3vvDCC9/85jfDeCKY7373u+QFK7xn4Q1gEdqltLT0zJkz5F+c+MdwZaDYs2fP0aNHH330UfxvSM8Co2nalClTUAjP4oMPPigsLGxqalqxYsXhw4dXrFjR09MTurNgKCgoQCG8FwihadOmfeUrX8EvJXfffTd2FYbxRBBCw8PD//Vf/4Vfc1Foz8IzQAjtUl5evm/fPl3XEUIk8Y/hyuDwxhtvdHd3P//888QQCd1ZvPfee0899RReHh4expOmhu4svvjFL742yeLFi19L8YEDAAABEElEQVR77bX58+eH7iwOHTq0adMmvDw4OIhnTA3dWSCEbr/99rfffhsX7+233/7d3/1dFM4TQQh1dXU1NjaSf0N6Fp4BdrEV6AxAhol/XM0GZJPjx4/X19ffc889tbW1CKHi4uIdO3aE7ixwm3Xffffl5uaOj48/+eSTKIT3gmbq1Kl4IXRnsWTJku7u7urq6ry8vFQqhUUxdGeBELrhhhseeOCBysrKgoKCm266CaeHDuOJIIROnDjR0tJC/g3pWXgGpFgDAAAAshpwjQIAAABZDQghAAAAkNWAEAIAAABZDQghAAAAkNWAEAIAAABZDQghAAAAkNWAEAIAAABZDQghAAAAkNWAEAIAAABZzf8HMIsUbxnNHIIAAAAASUVORK5CYII=" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [38]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># map dominant scale of variability in precipitation</span> <span class="c"># 1 = Trend; 2 = Longer-term, 3 = Annual cycle, 4 = Short-term</span> <span class="n">heatmap</span><span class="p">((</span><span class="n">c_fft_max_prec</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">oce_des_mask</span><span class="p">)</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[38]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [39]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># map dominant scale of variability in temperature</span> <span class="c"># 1 = Trend; 2 = Longer-term, 3 = Annual cycle, 4 = Short-term</span> <span class="n">heatmap</span><span class="p">((</span><span class="n">c_fft_max_temp</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">oce_des_mask</span><span class="p">)</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[39]:</div> <div class="output_png output_subarea output_execute_result"> <img 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" > </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="Create-combinations-of-classes">Create combinations of classes<a class="anchor-link" href="#Create-combinations-of-classes">¶</a></h3> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [40]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">x1</span> <span class="o">=</span> <span class="n">c_fft_max_vegidx</span><span class="o">.</span><span class="n">data</span> <span class="n">x2</span> <span class="o">=</span> <span class="n">c_fft_max_temp</span><span class="o">.</span><span class="n">data</span> <span class="n">x3</span> <span class="o">=</span> <span class="n">c_fft_max_prec</span><span class="o">.</span><span class="n">data</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 [41]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="k">using</span> <span class="n">RCall</span> <span class="c"># combine dominant scales</span> <span class="c"># get numeric variable for dominant scales</span> <span class="n">x123</span> <span class="o">=</span> <span class="n">rcopy</span><span class="p">(</span><span class="n">R</span><span class="s">"as.numeric(interaction(</span><span class="si">$x1</span><span class="s">, </span><span class="si">$x2</span><span class="s">, </span><span class="si">$x3</span><span class="s">))"</span><span class="p">)</span> <span class="n">xclasses_numeric</span> <span class="o">=</span> <span class="n">reshape</span><span class="p">(</span><span class="n">x123</span><span class="p">,</span> <span class="n">size</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span> <span class="n">size</span><span class="p">(</span><span class="n">x1</span><span class="p">,</span><span class="mi">2</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 [43]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># map combination of dominant scales of variability </span> <span class="n">heatmap</span><span class="p">((</span><span class="n">xclasses_numeric</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">oce_des_mask</span><span class="p">)</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[43]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [44]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># translate numeric to osciallation class</span> <span class="n">x_comb</span> <span class="o">=</span> <span class="n">unique</span><span class="p">(</span><span class="n">rcopy</span><span class="p">(</span><span class="n">R</span><span class="s">"interaction(</span><span class="si">$x1</span><span class="s">, </span><span class="si">$x2</span><span class="s">, </span><span class="si">$x3</span><span class="s">)"</span><span class="p">))</span> <span class="n">x_comb_leg</span> <span class="o">=</span> <span class="n">x_comb</span> <span class="o">|></span> <span class="p">(</span><span class="n">y</span><span class="o">-></span><span class="n">replace</span><span class="o">.</span><span class="p">(</span><span class="n">y</span><span class="p">,</span><span class="s">"1"</span> <span class="o">=></span> <span class="s">"T"</span><span class="p">))</span> <span class="o">|></span> <span class="p">(</span><span class="n">y</span><span class="o">-></span><span class="n">replace</span><span class="o">.</span><span class="p">(</span><span class="n">y</span><span class="p">,</span><span class="s">"2"</span> <span class="o">=></span> <span class="s">"L"</span><span class="p">))</span> <span class="o">|></span> <span class="p">(</span><span class="n">y</span><span class="o">-></span><span class="n">replace</span><span class="o">.</span><span class="p">(</span><span class="n">y</span><span class="p">,</span><span class="s">"3"</span> <span class="o">=></span> <span class="s">"A"</span><span class="p">))</span> <span class="o">|></span> <span class="p">(</span><span class="n">y</span><span class="o">-></span><span class="n">replace</span><span class="o">.</span><span class="p">(</span><span class="n">y</span><span class="p">,</span><span class="s">"4"</span> <span class="o">=></span> <span class="s">"S"</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 [45]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">domscale_leg</span> <span class="o">=</span> <span class="kt">Dict</span><span class="p">(</span><span class="n">zip</span><span class="p">(</span><span class="n">unique</span><span class="p">(</span><span class="n">rcopy</span><span class="p">(</span><span class="n">R</span><span class="s">"as.numeric(interaction(</span><span class="si">$x1</span><span class="s">, </span><span class="si">$x2</span><span class="s">, </span><span class="si">$x3</span><span class="s">))"</span><span class="p">)),</span><span class="n">x_comb_leg</span><span class="p">))</span> <span class="c"># delete unwanted categories containing NaN</span> <span class="n">get</span><span class="o">.</span><span class="p">(</span><span class="n">domscale_leg</span><span class="p">,</span><span class="n">collect</span><span class="p">(</span><span class="mi">0</span><span class="o">:</span><span class="mi">5</span><span class="o">:</span><span class="mi">60</span><span class="p">),</span><span class="mi">0</span><span class="p">)</span> <span class="n">delete!</span><span class="o">.</span><span class="p">(</span><span class="n">domscale_leg</span><span class="p">,</span><span class="n">collect</span><span class="p">(</span><span class="mi">0</span><span class="o">:</span><span class="mi">5</span><span class="o">:</span><span class="mi">60</span><span class="p">))</span> <span class="n">domscale_leg</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[45]:</div> <div class="output_text output_subarea output_execute_result"> <pre>Dict{Float64,String} with 26 entries: 18.0 => "A.L.L" 54.0 => "S.A.S" 39.0 => "S.A.A" 21.0 => "T.A.L" 43.0 => "A.S.A" 58.0 => "A.S.S" 34.0 => "S.L.A" 59.0 => "S.S.S" 8.0 => "A.A.T" 51.0 => "T.A.S" 6.0 => "T.A.T" 44.0 => "S.S.A" 49.0 => "S.L.S" 37.0 => "L.A.A" 24.0 => "S.A.L" 22.0 => "L.A.L" 53.0 => "A.A.S" 38.0 => "A.A.A" 57.0 => "L.S.S" 23.0 => "A.A.L" 31.0 => "T.L.A" 36.0 => "T.A.A" 48.0 => "A.L.S" 56.0 => "T.S.S" 52.0 => "L.A.S" â‹® => â‹®</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [46]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c">#using ESDL</span> <span class="n">c_dom_scale</span> <span class="o">=</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">CubeMem</span><span class="p">(</span> <span class="n">CubeAxis</span><span class="p">[</span><span class="n">c_vegidx</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span><span class="n">c_vegidx</span><span class="o">.</span><span class="n">axes</span><span class="p">[</span><span class="mi">2</span><span class="p">]],</span> <span class="n">xclasses_numeric</span><span class="p">,</span> <span class="c"># mask categories containing NaN</span> <span class="n">map</span><span class="p">(</span><span class="n">i</span><span class="o">-></span><span class="n">i</span> <span class="kp">in</span> <span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">20</span><span class="p">,</span><span class="mi">25</span><span class="p">,</span><span class="mi">30</span><span class="p">,</span><span class="mi">35</span><span class="p">,</span><span class="mi">40</span><span class="p">,</span><span class="mi">45</span><span class="p">,</span><span class="mi">50</span><span class="p">,</span><span class="mi">55</span><span class="p">,</span><span class="mi">60</span><span class="p">)</span> <span class="o">?</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">Mask</span><span class="o">.</span><span class="n">MISSING</span> <span class="o">:</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">Mask</span><span class="o">.</span><span class="n">VALID</span><span class="p">,</span><span class="n">xclasses_numeric</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[46]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 2.22 MB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [47]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># map dominant co-oscillation regimes</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">c_dom_scale</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[47]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <h1 id="Fig.-3---Correlations-between-variables">Fig. 3 - Correlations between variables<a class="anchor-link" href="#Fig.-3---Correlations-between-variables">¶</a></h1> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [48]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="k">import</span> <span class="n">ESDL</span><span class="o">.</span><span class="n">NaNMissing</span> <span class="n">indims</span> <span class="o">=</span> <span class="n">InDims</span><span class="p">(</span><span class="s">"Time"</span><span class="p">,</span> <span class="n">miss</span><span class="o">=</span><span class="n">NaNMissing</span><span class="p">()),</span> <span class="n">InDims</span><span class="p">(</span><span class="s">"Time"</span><span class="p">,</span> <span class="n">miss</span><span class="o">=</span><span class="n">NaNMissing</span><span class="p">()),</span> <span class="n">InDims</span><span class="p">(</span><span class="s">"Time"</span><span class="p">,</span> <span class="n">miss</span><span class="o">=</span><span class="n">NaNMissing</span><span class="p">())</span> <span class="n">outdims</span> <span class="o">=</span> <span class="n">OutDims</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[48]:</div> <div class="output_text output_subarea output_execute_result"> <pre>ESDL.DAT.OutDims((), (), ESDL.DAT.DataArrayMissing(), zero, identity, :auto, false, ESDL.DAT.AsArray(), 1)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [49]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="k">function</span> <span class="n">cubecor_mask</span><span class="p">(</span><span class="n">xout</span><span class="p">,</span><span class="n">xin1</span><span class="p">,</span><span class="n">xin2</span><span class="p">,</span><span class="n">mask</span><span class="p">;</span><span class="n">nmin</span><span class="o">=</span><span class="mi">10</span><span class="p">)</span> <span class="c"># find indices with valid values, which are not masked</span> <span class="n">xidx</span> <span class="o">=</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">xin1</span><span class="p">)</span> <span class="o">.&</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">xin2</span><span class="p">)</span> <span class="o">.&</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">mask</span><span class="p">)</span> <span class="c"># return NaN if less than nmin value pairs are valid, else return correlation</span> <span class="n">xout</span><span class="p">[</span><span class="o">:</span><span class="p">]</span> <span class="o">=</span> <span class="n">count</span><span class="p">(</span><span class="n">xidx</span><span class="p">)</span> <span class="o"><</span> <span class="n">nmin</span> <span class="o">?</span> <span class="nb">NaN</span> <span class="o">:</span> <span class="n">cor</span><span class="p">(</span><span class="n">xin1</span><span class="p">[</span><span class="n">xidx</span><span class="p">],</span><span class="n">xin2</span><span class="p">[</span><span class="n">xidx</span><span class="p">])</span> <span class="k">return</span> <span class="n">xout</span><span class="p">[</span><span class="o">:</span><span class="p">]</span> <span class="k">end</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[49]:</div> <div class="output_text output_subarea output_execute_result"> <pre>cubecor_mask (generic function with 1 method)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [50]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">cor_vegidx_temp</span> <span class="o">=</span> <span class="n">mapCube</span><span class="p">(</span><span class="n">cubecor_mask</span><span class="p">,</span> <span class="p">(</span><span class="n">c_fft_vegidx</span><span class="p">,</span> <span class="n">c_fft_temp</span><span class="p">,</span><span class="n">cubemask</span><span class="p">),</span> <span class="n">indims</span> <span class="o">=</span> <span class="n">indims</span><span class="p">,</span> <span class="n">outdims</span> <span class="o">=</span> <span class="n">outdims</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:26</span>8:16 </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[50]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Scale Axis with elements: Trend Long-Term Variability Annual Cycle Fast Oscillations Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 8.9 MB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [51]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># correlation between NDVI and air temperature at the annual scale</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">cor_vegidx_temp</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[51]:</div> <div class="output_png output_subarea output_execute_result"> <img 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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [52]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="k">function</span> <span class="n">cubecor_lagged_mask</span><span class="p">(</span><span class="n">xout</span><span class="p">,</span><span class="n">xin1</span><span class="p">,</span><span class="n">xin2</span><span class="p">,</span><span class="n">mask</span><span class="p">;</span><span class="n">nmin</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span><span class="n">lag</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span> <span class="n">x</span> <span class="o">=</span> <span class="n">xin1</span><span class="p">[</span><span class="mi">1</span><span class="o">+</span><span class="n">lag</span><span class="o">:</span><span class="k">end</span><span class="p">]</span> <span class="c"># lag first time series (and corresponding mask)</span> <span class="n">m</span> <span class="o">=</span> <span class="n">mask</span><span class="p">[</span><span class="mi">1</span><span class="o">+</span><span class="n">lag</span><span class="o">:</span><span class="k">end</span><span class="p">]</span> <span class="n">y</span> <span class="o">=</span> <span class="n">xin2</span><span class="p">[</span><span class="mi">1</span><span class="o">:</span><span class="k">end</span><span class="o">-</span><span class="n">lag</span><span class="p">]</span> <span class="c"># cut second time series by lag</span> <span class="n">xidx</span> <span class="o">=</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="o">.&</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">y</span><span class="p">)</span> <span class="o">.&</span> <span class="o">.!</span><span class="n">isnan</span><span class="o">.</span><span class="p">(</span><span class="n">m</span><span class="p">)</span> <span class="c"># indices with valid value pairs, not masked</span> <span class="c"># return NaN if less than nmin value pairs are valid, else return correlation </span> <span class="n">xout</span><span class="p">[</span><span class="o">:</span><span class="p">]</span> <span class="o">=</span> <span class="n">count</span><span class="p">(</span><span class="n">xidx</span><span class="p">)</span> <span class="o"><</span> <span class="n">nmin</span> <span class="o">?</span> <span class="nb">NaN</span> <span class="o">:</span> <span class="n">cor</span><span class="p">(</span><span class="n">x</span><span class="p">[</span><span class="n">xidx</span><span class="p">],</span><span class="n">y</span><span class="p">[</span><span class="n">xidx</span><span class="p">])</span> <span class="k">return</span> <span class="n">xout</span><span class="p">[</span><span class="o">:</span><span class="p">]</span> <span class="k">end</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[52]:</div> <div class="output_text output_subarea output_execute_result"> <pre>cubecor_lagged_mask (generic function with 1 method)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [53]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">cor_vegidx_prec_lag1</span> <span class="o">=</span> <span class="n">mapCube</span><span class="p">(</span><span class="n">cubecor_lagged_mask</span><span class="p">,(</span><span class="n">c_fft_vegidx</span><span class="p">,</span><span class="n">c_fft_prec</span><span class="p">,</span><span class="n">cubemask</span><span class="p">),</span> <span class="n">indims</span> <span class="o">=</span> <span class="n">indims</span><span class="p">,</span> <span class="n">outdims</span> <span class="o">=</span> <span class="n">outdims</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><span class="ansi-green-fg">Progress: 100%|█████████████████████████████████████████| Time: 0:01:35</span> </pre> </div> </div> <div class="output_area"> <div class="prompt output_prompt">Out[53]:</div> <div class="output_text output_subarea output_execute_result"> <pre>In-Memory data cube with the following dimensions Scale Axis with elements: Trend Long-Term Variability Annual Cycle Fast Oscillations Lon Axis with 720 Elements from -179.75 to 179.75 Lat Axis with 360 Elements from 89.75 to -89.75 Total size: 8.9 MB </pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [54]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># correlation between NDVI and precipitation at the annual oscillation (lagged 1 time-step)</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">cor_vegidx_prec_lag1</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[54]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <h1 id="Fig.-3---Bicolor-Maps">Fig. 3 - Bicolor Maps<a class="anchor-link" href="#Fig.-3---Bicolor-Maps">¶</a></h1> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [55]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># function to separate data within different quantiles </span> <span class="k">function</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">arr</span><span class="p">,</span> <span class="n">qtls</span><span class="p">)</span> <span class="n">y</span> <span class="o">=</span> <span class="n">zeros</span><span class="p">(</span><span class="n">size</span><span class="p">(</span><span class="n">arr</span><span class="p">))</span><span class="o">./</span><span class="mi">0</span> <span class="c"># NaN output array of size input array</span> <span class="k">for</span> <span class="n">i</span><span class="o">=</span><span class="p">(</span><span class="n">size</span><span class="p">(</span><span class="n">qtls</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">2</span> <span class="c"># each quantile boundary, counting downwards</span> <span class="n">y</span><span class="p">[</span><span class="n">arr</span> <span class="o">.<</span> <span class="n">qtls</span><span class="p">[</span><span class="n">i</span><span class="p">]]</span> <span class="o">=</span> <span class="n">i</span><span class="o">.-</span><span class="mi">1</span> <span class="c"># wherever x-value .< quantile[i] is true, set y to i-1 </span> <span class="c"># (below boundary 2 == 1st quantile)</span> <span class="k">end</span> <span class="k">return</span> <span class="n">y</span> <span class="k">end</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[55]:</div> <div class="output_text output_subarea output_execute_result"> <pre>quaId2 (generic function with 1 method)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [56]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c">## quantile boundaries </span> <span class="n">qua</span><span class="o">=</span><span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span><span class="o">-</span><span class="mf">0.6</span><span class="p">,</span><span class="o">-</span><span class="mf">0.2</span><span class="p">,</span><span class="mf">0.2</span><span class="p">,</span><span class="mf">0.6</span><span class="p">,</span><span class="mi">1</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[56]:</div> <div class="output_text output_subarea output_execute_result"> <pre>6-element Array{Float64,1}: -1.0 -0.6 -0.2 0.2 0.6 1.0</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [57]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c">## Generate different quatiles ID for all variables and each time scale</span> <span class="n">precTrend</span> <span class="o">=</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">cor_vegidx_prec_lag1</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],</span><span class="n">qua</span><span class="p">)</span> <span class="n">precLongTerm</span> <span class="o">=</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">cor_vegidx_prec_lag1</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],</span><span class="n">qua</span><span class="p">)</span> <span class="n">precAnnual</span> <span class="o">=</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">cor_vegidx_prec_lag1</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],</span><span class="n">qua</span><span class="p">)</span> <span class="n">precFastOs</span> <span class="o">=</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">cor_vegidx_prec_lag1</span><span class="p">[</span><span class="mi">4</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],</span><span class="n">qua</span><span class="p">)</span> <span class="n">tempTrend</span> <span class="o">=</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">cor_vegidx_temp</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],</span><span class="n">qua</span><span class="p">)</span> <span class="n">tempLongTerm</span> <span class="o">=</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">cor_vegidx_temp</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],</span><span class="n">qua</span><span class="p">)</span> <span class="n">tempAnnual</span> <span class="o">=</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">cor_vegidx_temp</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],</span><span class="n">qua</span><span class="p">)</span> <span class="n">tempFastOs</span> <span class="o">=</span> <span class="n">quaId2</span><span class="p">(</span><span class="n">cor_vegidx_temp</span><span class="p">[</span><span class="mi">4</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">],</span><span class="n">qua</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 [58]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># based on the X and Y variables the color ID is defined, later translated into color for plotting</span> <span class="n">colId</span> <span class="o">=</span> <span class="n">reshape</span><span class="p">(</span><span class="mi">1</span><span class="o">:</span><span class="mi">25</span><span class="p">,</span><span class="mi">5</span><span class="p">,</span><span class="mi">5</span><span class="p">)</span><span class="o">'</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[58]:</div> <div class="output_text output_subarea output_execute_result"> <pre>5×5 Array{Int64,2}: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [59]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c">## This function establishes the respective combinations between </span> <span class="c">## quantiles and bicolor scale for two input maps</span> <span class="k">function</span> <span class="n">BicolorMap</span><span class="p">(</span><span class="n">A</span><span class="p">,</span><span class="n">B</span><span class="p">)</span> <span class="n">xout</span> <span class="o">=</span> <span class="n">fill</span><span class="p">(</span><span class="nb">NaN</span><span class="p">,</span> <span class="n">size</span><span class="p">(</span><span class="n">A</span><span class="p">))</span> <span class="c"># empty output array</span> <span class="k">for</span> <span class="n">x</span> <span class="kp">in</span> <span class="mi">1</span><span class="o">:</span><span class="p">(</span><span class="n">size</span><span class="p">(</span><span class="n">A</span><span class="p">)[</span><span class="mi">1</span><span class="p">])</span> <span class="c"># looping through latitudes</span> <span class="k">for</span> <span class="n">y</span> <span class="kp">in</span> <span class="mi">1</span><span class="o">:</span><span class="p">(</span><span class="n">size</span><span class="p">(</span><span class="n">A</span><span class="p">)[</span><span class="mi">2</span><span class="p">])</span> <span class="c"># looping through longitudes</span> <span class="k">if</span> <span class="o">!</span><span class="n">isnan</span><span class="p">(</span><span class="n">A</span><span class="p">[</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">])</span> <span class="o">&&</span> <span class="o">!</span><span class="n">isnan</span><span class="p">(</span><span class="n">B</span><span class="p">[</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">])</span> <span class="n">i</span> <span class="o">=</span> <span class="kt">Integer</span><span class="p">(</span><span class="n">A</span><span class="p">[</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">])</span> <span class="n">j</span> <span class="o">=</span> <span class="kt">Integer</span><span class="p">(</span><span class="n">B</span><span class="p">[</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">])</span> <span class="n">colIdPx</span> <span class="o">=</span> <span class="n">colId</span><span class="p">[</span><span class="n">i</span><span class="p">,</span><span class="n">j</span><span class="p">]</span> <span class="n">xout</span><span class="p">[</span><span class="n">x</span><span class="p">,</span><span class="n">y</span><span class="p">]</span> <span class="o">=</span> <span class="n">colIdPx</span> <span class="k">end</span> <span class="k">end</span> <span class="k">end</span> <span class="k">return</span><span class="p">(</span><span class="n">xout</span><span class="p">)</span> <span class="k">end</span> </pre></div> </div> </div> </div> <div class="output_wrapper"> <div class="output"> <div class="output_area"> <div class="prompt output_prompt">Out[59]:</div> <div class="output_text output_subarea output_execute_result"> <pre>BicolorMap (generic function with 1 method)</pre> </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [60]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="n">trendCor</span><span class="o">=</span><span class="n">BicolorMap</span><span class="p">(</span><span class="n">tempTrend</span><span class="p">,</span> <span class="n">precTrend</span><span class="p">)</span> <span class="n">longTermCor</span><span class="o">=</span><span class="n">BicolorMap</span><span class="p">(</span><span class="n">tempLongTerm</span><span class="p">,</span> <span class="n">precLongTerm</span><span class="p">)</span> <span class="n">annualCor</span><span class="o">=</span><span class="n">BicolorMap</span><span class="p">(</span><span class="n">tempAnnual</span><span class="p">,</span> <span class="n">precAnnual</span><span class="p">)</span> <span class="n">fastOsCor</span><span class="o">=</span><span class="n">BicolorMap</span><span class="p">(</span><span class="n">tempFastOs</span><span class="p">,</span> <span class="n">precFastOs</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 [61]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># "bicolor-map" of longer-term correlation of temperature</span> <span class="c"># and precipitation</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">longTermCor</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</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[61]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt"> </div><div class="inner_cell"> <div class="text_cell_render border-box-sizing rendered_html"> <h1 id="Fig.-4---Comparison-of-differences-in-the-correlation-sing">Fig. 4 - Comparison of differences in the correlation sing<a class="anchor-link" href="#Fig.-4---Comparison-of-differences-in-the-correlation-sing">¶</a></h1> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [62]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># reclassify values into a binary map, 1 = positive correlations and -1 = negative correlations</span> <span class="c"># correlations between -0.2 and 0.2 are ommited (NaN)</span> <span class="n">cor_vegidx_temp_sign</span> <span class="o">=</span> <span class="n">map</span><span class="p">(</span><span class="n">x</span><span class="o">-></span> <span class="n">x</span> <span class="o">></span> <span class="mf">0.2</span> <span class="o">?</span> <span class="mi">1</span> <span class="o">:</span> <span class="n">x</span> <span class="o"><</span> <span class="o">-</span><span class="mf">0.2</span> <span class="o">?</span> <span class="o">-</span><span class="mi">1</span> <span class="o">:</span> <span class="nb">NaN</span><span class="p">,</span> <span class="n">cor_vegidx_temp</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]);</span> <span class="n">cor_vegidx_prec_sign</span> <span class="o">=</span> <span class="n">map</span><span class="p">(</span><span class="n">x</span><span class="o">-></span> <span class="n">x</span> <span class="o">></span> <span class="mf">0.2</span> <span class="o">?</span> <span class="mi">1</span> <span class="o">:</span> <span class="n">x</span> <span class="o"><</span> <span class="o">-</span><span class="mf">0.2</span> <span class="o">?</span> <span class="o">-</span><span class="mi">1</span> <span class="o">:</span> <span class="nb">NaN</span><span class="p">,</span> <span class="n">cor_vegidx_prec_lag1</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</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 [63]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># comparison of differences in the sign of correlation between annual and long-term scales</span> <span class="c"># for air-temperature. 1 = equal correlation sign. -1 = different correlation sign</span> <span class="n">cor_vegidx_temp_sign_ch</span> <span class="o">=</span> <span class="p">(</span><span class="n">cor_vegidx_temp_sign</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">cor_vegidx_temp_sign</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">oce_des_mask</span><span class="p">)</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">cor_vegidx_temp_sign_ch</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="n">cgrad</span><span class="p">([</span><span class="o">:</span><span class="n">red</span><span class="p">,</span> <span class="o">:</span><span class="n">grey</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[63]:</div> <div class="output_png output_subarea output_execute_result"> <img 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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [64]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># comparison of differences in the sign of correlation between annual and long-term scales</span> <span class="c"># for precipiatation. 1 = equal correlation sign. -1 = different correlation sign </span> <span class="n">cor_vegidx_prec_sign_ch</span> <span class="o">=</span> <span class="n">cor_vegidx_prec_sign</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">cor_vegidx_prec_sign</span><span class="p">[</span><span class="mi">3</span><span class="p">,</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span><span class="o">.*</span><span class="n">oce_des_mask</span> <span class="n">heatmap</span><span class="p">(</span><span class="n">cor_vegidx_prec_sign_ch</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="n">cgrad</span><span class="p">([</span><span class="o">:</span><span class="n">blue</span><span class="p">,</span> <span class="o">:</span><span class="n">grey</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[64]:</div> <div class="output_png output_subarea output_execute_result"> <img src="data:image/png;base64,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" > </div> </div> </div> </div> </div> <div class="cell border-box-sizing code_cell rendered"> <div class="input"> <div class="prompt input_prompt">In [65]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># reclassify values of air temperature and preciptation for global comparison</span> <span class="c"># 2 = pixels with different correlation sign, otherwise O</span> <span class="n">cor_vegidx_temp_ch_reclass</span> <span class="o">=</span> <span class="n">map</span><span class="p">(</span><span class="n">x</span><span class="o">-></span> <span class="n">x</span> <span class="o">==</span> <span class="o">-</span><span class="mf">1.0</span> <span class="o">?</span> <span class="mf">2.0</span> <span class="o">:</span> <span class="n">x</span> <span class="o">==</span> <span class="mi">1</span> <span class="o">?</span> <span class="mf">0.0</span> <span class="o">:</span> <span class="nb">NaN</span><span class="p">,</span> <span class="n">cor_vegidx_temp_sign_ch</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]);</span> <span class="c"># -1 = pixel with different correlation sign, otherwise O</span> <span class="n">cor_vegidx_prec_ch_reclass</span> <span class="o">=</span> <span class="n">map</span><span class="p">(</span><span class="n">x</span><span class="o">-></span> <span class="n">x</span> <span class="o">==</span> <span class="o">-</span><span class="mf">1.0</span> <span class="o">?</span> <span class="o">-</span><span class="mf">1.0</span> <span class="o">:</span> <span class="n">x</span> <span class="o">==</span> <span class="mi">1</span> <span class="o">?</span> <span class="mf">0.0</span> <span class="o">:</span> <span class="nb">NaN</span><span class="p">,</span> <span class="n">cor_vegidx_prec_sign_ch</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</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 [66]:</div> <div class="inner_cell"> <div class="input_area"> <div class=" highlight hl-julia"><pre><span></span><span class="c"># map for differences in the correlation sign between annual and long-term scale for NDVI and air </span> <span class="c"># temperature (red), precipitation (blue), and both (purple).</span> <span class="n">heatmap</span><span class="p">((</span><span class="n">cor_vegidx_prec_ch_reclass</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">]</span> <span class="o">.+</span> <span class="n">cor_vegidx_temp_ch_reclass</span><span class="p">[</span><span class="o">:</span><span class="p">,</span><span class="o">:</span><span class="p">])</span><span class="o">'</span><span class="p">[</span><span class="k">end</span><span class="o">:-</span><span class="mi">1</span><span class="o">:</span><span class="mi">1</span><span class="p">,</span><span class="o">:</span><span class="p">],</span> <span class="n">color</span><span class="o">=</span><span class="n">cgrad</span><span class="p">([</span><span class="o">:</span><span class="n">blue</span><span class="p">,</span> <span class="o">:</span><span class="n">white</span><span class="p">,</span> <span class="o">:</span><span class="n">purple</span><span class="p">,</span> <span class="o">:</span><span class="n">red</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[66]:</div> <div class="output_png output_subarea output_execute_result"> <img 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" > </div> </div> </div> </div> </div> </div> </div> </body> </html>