From 06fef2706fac3d94777f62ca03139ffc138994d4 Mon Sep 17 00:00:00 2001 From: Alinson S Xavier Date: Tue, 9 Mar 2021 11:08:52 -0600 Subject: [PATCH] Add v0.2 docs --- 0.2/404.html | 228 ++ 0.2/css/base.css | 289 ++ 0.2/css/base.min.css | 1 + 0.2/css/bootstrap-custom.css | 5309 ++++++++++++++++++++++++++++ 0.2/css/bootstrap-custom.min.css | 1 + 0.2/css/cinder.css | 88 + 0.2/css/cinder.min.css | 1 + 0.2/css/custom.css | 28 + 0.2/css/highlight.css | 99 + 0.2/css/highlight.min.css | 1 + 0.2/fonts/fontawesome-webfont.eot | Bin 0 -> 38205 bytes 0.2/fonts/fontawesome-webfont.svg | 414 +++ 0.2/fonts/fontawesome-webfont.ttf | Bin 0 -> 80652 bytes 0.2/fonts/fontawesome-webfont.woff | Bin 0 -> 44432 bytes 0.2/format/index.html | 716 ++++ 0.2/images/cost_curve.png | Bin 0 -> 36072 bytes 0.2/img/favicon.ico | Bin 0 -> 1150 bytes 0.2/img/grid1.png | Bin 0 -> 251 bytes 0.2/img/grid10.png | Bin 0 -> 495 bytes 0.2/img/grid11.png | Bin 0 -> 253 bytes 0.2/img/grid12.png | Bin 0 -> 260 bytes 0.2/img/grid13.png | Bin 0 -> 266 bytes 0.2/img/grid14.png | Bin 0 -> 240 bytes 0.2/img/grid15.png | Bin 0 -> 442 bytes 0.2/img/grid16.png | Bin 0 -> 442 bytes 0.2/img/grid17.png | Bin 0 -> 442 bytes 0.2/img/grid18.png | Bin 0 -> 457 bytes 0.2/img/grid19.png | Bin 0 -> 427 bytes 0.2/img/grid2.png | Bin 0 -> 271 bytes 0.2/img/grid20.png | Bin 0 -> 493 bytes 0.2/img/grid3.png | Bin 0 -> 266 bytes 0.2/img/grid4.png | Bin 0 -> 244 bytes 0.2/img/grid5.png | Bin 0 -> 442 bytes 0.2/img/grid6.png | Bin 0 -> 460 bytes 0.2/img/grid7.png | Bin 0 -> 442 bytes 0.2/img/grid8.png | Bin 0 -> 457 bytes 0.2/img/grid9.png | Bin 0 -> 456 bytes 0.2/index.html | 298 ++ 0.2/instances/index.html | 2154 +++++++++++ 0.2/js/base.js | 225 ++ 0.2/js/bootstrap-3.0.3.min.js | 7 + 0.2/js/highlight.pack.js | 2 + 0.2/js/mathjax.js | 8 + 0.2/search/lunr.js | 3475 ++++++++++++++++++ 0.2/search/main.js | 98 + 0.2/search/search_index.json | 1 + 0.2/search/worker.js | 130 + 0.2/sitemap.xml | 19 + 0.2/sitemap.xml.gz | Bin 0 -> 196 bytes 0.2/usage/index.html | 324 ++ 50 files changed, 13916 insertions(+) create mode 100644 0.2/404.html create mode 100644 0.2/css/base.css create mode 100644 0.2/css/base.min.css create mode 100644 0.2/css/bootstrap-custom.css create mode 100644 0.2/css/bootstrap-custom.min.css create mode 100644 0.2/css/cinder.css create mode 100644 0.2/css/cinder.min.css create mode 100644 0.2/css/custom.css create mode 100644 0.2/css/highlight.css create mode 100644 0.2/css/highlight.min.css create mode 100644 0.2/fonts/fontawesome-webfont.eot create mode 100644 0.2/fonts/fontawesome-webfont.svg create mode 100644 0.2/fonts/fontawesome-webfont.ttf create mode 100644 0.2/fonts/fontawesome-webfont.woff create mode 100644 0.2/format/index.html create mode 100644 0.2/images/cost_curve.png create mode 100644 0.2/img/favicon.ico create mode 100644 0.2/img/grid1.png create mode 100644 0.2/img/grid10.png create mode 100644 0.2/img/grid11.png create mode 100644 0.2/img/grid12.png create mode 100644 0.2/img/grid13.png create mode 100644 0.2/img/grid14.png create mode 100644 0.2/img/grid15.png create mode 100644 0.2/img/grid16.png create mode 100644 0.2/img/grid17.png create mode 100644 0.2/img/grid18.png create mode 100644 0.2/img/grid19.png create mode 100644 0.2/img/grid2.png create mode 100644 0.2/img/grid20.png create mode 100644 0.2/img/grid3.png create mode 100644 0.2/img/grid4.png create mode 100644 0.2/img/grid5.png create mode 100644 0.2/img/grid6.png create mode 100644 0.2/img/grid7.png create mode 100644 0.2/img/grid8.png create mode 100644 0.2/img/grid9.png create mode 100644 0.2/index.html create mode 100644 0.2/instances/index.html create mode 100644 0.2/js/base.js create mode 100644 0.2/js/bootstrap-3.0.3.min.js create mode 100644 0.2/js/highlight.pack.js create mode 100644 0.2/js/mathjax.js create mode 100644 0.2/search/lunr.js create mode 100644 0.2/search/main.js create mode 100644 0.2/search/search_index.json create mode 100644 0.2/search/worker.js create mode 100644 0.2/sitemap.xml create mode 100644 0.2/sitemap.xml.gz create mode 100644 0.2/usage/index.html diff --git a/0.2/404.html b/0.2/404.html new file mode 100644 index 0000000..6178a47 --- /dev/null +++ b/0.2/404.html @@ -0,0 +1,228 @@ + + + + + + + + + + + + + + UnitCommitment.jl + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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+ + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/0.2/css/base.css b/0.2/css/base.css new file mode 100644 index 0000000..2d68482 --- /dev/null +++ b/0.2/css/base.css @@ -0,0 +1,289 @@ +html { + scroll-padding-top: 70px; +} + +body { + padding-top: 70px; +} + +p > img { + max-width: 100%; + height: auto; +} + +ul.nav li.first-level { + font-weight: bold; +} + +ul.nav li.third-level { + padding-left: 12px; +} + +div.col-md-3 { + padding-left: 0; +} + +div.col-md-9 { + padding-bottom: 100px; +} + +div.source-links { + float: right; +} + +/* + * Side navigation + * + * Scrollspy and affixed enhanced navigation to highlight sections and secondary + * sections of docs content. + */ + +/* By default it's not affixed in mobile views, so undo that */ +.bs-sidebar.affix { + position: static; +} + +.bs-sidebar.well { + padding: 0; +} + +/* First level of nav */ +.bs-sidenav { + margin-top: 30px; + margin-bottom: 30px; + padding-top: 10px; + padding-bottom: 10px; + border-radius: 5px; +} + +/* All levels of nav */ +.bs-sidebar .nav > li > a { + display: block; + padding: 5px 20px; + z-index: 1; +} +.bs-sidebar .nav > li > a:hover, +.bs-sidebar .nav > li > a:focus { + text-decoration: none; + border-right: 1px solid; +} +.bs-sidebar .nav > .active > a, +.bs-sidebar .nav > .active:hover > a, +.bs-sidebar .nav > .active:focus > a { + font-weight: bold; + background-color: transparent; + border-right: 1px solid; +} + +/* Nav: second level (shown on .active) */ +.bs-sidebar .nav .nav { + display: none; /* Hide by default, but at >768px, show it */ + margin-bottom: 8px; +} +.bs-sidebar .nav .nav > li > a { + padding-top: 3px; + padding-bottom: 3px; + padding-left: 30px; + font-size: 90%; +} + +/* Show and affix the side nav when space allows it */ +@media (min-width: 992px) { + .bs-sidebar .nav > .active > ul { + display: block; + } + /* Widen the fixed sidebar */ + .bs-sidebar.affix, + .bs-sidebar.affix-bottom { + width: 213px; + } + .bs-sidebar.affix { + position: fixed; /* Undo the static from mobile first approach */ + top: 80px; + max-height: calc(100% - 180px); + overflow-y: auto; + } + .bs-sidebar.affix-bottom { + position: absolute; /* Undo the static from mobile first approach */ + } + .bs-sidebar.affix-bottom .bs-sidenav, + .bs-sidebar.affix .bs-sidenav { + margin-top: 0; + margin-bottom: 0; + } +} +@media (min-width: 1200px) { + /* Widen the fixed sidebar again */ + .bs-sidebar.affix-bottom, + .bs-sidebar.affix { + width: 263px; + } +} + + +/* Added to support >2 level nav in drop down */ + +.dropdown-submenu { + position: relative; +} + +.dropdown-submenu>.dropdown-menu { + top: 0; + left: 100%; + margin-top: 0px; + margin-left: 0px; +} + +.dropdown-submenu:hover>.dropdown-menu { + display: block; +} + +.dropdown-submenu>a:after { + display: block; + content: " "; + float: right; + width: 0; + height: 0; + border-color: transparent; + border-style: solid; + border-width: 5px 0 5px 5px; + border-left-color: #ccc; + margin-top: 5px; + margin-right: -10px; +} + +.dropdown-submenu:hover>a:after { + border-left-color: #fff; +} + +.dropdown-submenu.pull-left { + float: none; +} + +.dropdown-submenu.pull-left>.dropdown-menu { + left: -100%; + margin-left: 00px; +} +/* Start Bootstrap Callouts CSS Source by Chris Pratt (https://codepen.io/chrisdpratt/pen/IAymB) MIT License*/ +.bs-callout { + padding: 20px; + margin: 20px 0; + border: 1px solid #eee; + border-left-width: 5px; + border-radius: 3px; + background-color: #FCFDFF; +} +.bs-callout h4 { + font-style: normal; + font-weight: 400; + margin-top: 0; + margin-bottom: 5px; +} +.bs-callout p:last-child { + margin-bottom: 0; +} +.bs-callout code { + border-radius: 3px; +} +.bs-callout+.bs-callout { + margin-top: -5px; +} +.bs-callout-default { + border-left-color: #FA023C; /*modified from upstream default by Christopher Simpkins*/ +} +.bs-callout-default h4 { + color: #FA023C; /*modified from upstream default by Christopher Simpkins*/ +} +.bs-callout-primary { + border-left-color: #428bca; +} +.bs-callout-primary h4 { + color: #428bca; +} +.bs-callout-success { + border-left-color: #5cb85c; +} +.bs-callout-success h4 { + color: #5cb85c; +} +.bs-callout-danger { + border-left-color: #d9534f; +} +.bs-callout-danger h4 { + color: #d9534f; +} +.bs-callout-warning { + border-left-color: #f0ad4e; +} +.bs-callout-warning h4 { + color: #f0ad4e; +} +.bs-callout-info { + border-left-color: #5bc0de; +} +.bs-callout-info h4 { + color: #5bc0de; +} +/* End Bootstrap Callouts CSS Source by Chris Pratt */ + +/* Headerlinks */ +.headerlink { + display: none; + padding-left: .5em; +} + +h1:hover .headerlink, h2:hover .headerlink, h3:hover .headerlink, h4:hover .headerlink, h5:hover .headerlink, h6:hover .headerlink { + display: inline-block; +} + +/* Admonitions */ +.admonition { + padding: 20px; + margin: 20px 0; + border: 1px solid #eee; + border-left-width: 5px; + border-radius: 3px; + background-color: #FCFDFF; +} + +.admonition p:last-child { + margin-bottom: 0; +} +.admonition code { + border-radius: 3px; +} +.admonition+.admonition { + margin-top: -5px; +} + +.admonition.note { /* csslint allow: adjoining-classes */ + border-left-color: #428bca; +} + +.admonition.warning { /* csslint allow: adjoining-classes */ + border-left-color: #f0ad4e; +} + +.admonition.danger { /* csslint allow: adjoining-classes */ + border-left-color: #d9534f; +} + +.admonition-title { + font-size: 19px; + font-style: normal; + font-weight: 400; + margin-top: 0; + margin-bottom: 5px; +} + +.admonition.note > .admonition-title { + color: #428bca; +} + +.admonition.warning > .admonition-title { + color: #f0ad4e; +} + +.admonition.danger > .admonition-title { + color: #d9534f; +} diff --git a/0.2/css/base.min.css b/0.2/css/base.min.css new file mode 100644 index 0000000..f7e580f --- /dev/null +++ b/0.2/css/base.min.css @@ -0,0 +1 @@ +html{scroll-padding-top:70px}body{padding-top:70px}p>img{max-width:100%;height:auto}ul.nav li.first-level{font-weight:bold}ul.nav li.third-level{padding-left:12px}div.col-md-3{padding-left:0}div.col-md-9{padding-bottom:100px}div.source-links{float:right}.bs-sidebar.affix{position:static}.bs-sidebar.well{padding:0}.bs-sidenav{margin-top:30px;margin-bottom:30px;padding-top:10px;padding-bottom:10px;border-radius:5px}.bs-sidebar .nav>li>a{display:block;padding:5px 20px;z-index:1}.bs-sidebar .nav>li>a:hover,.bs-sidebar .nav>li>a:focus{text-decoration:none;border-right:1px solid}.bs-sidebar .nav>.active>a,.bs-sidebar .nav>.active:hover>a,.bs-sidebar .nav>.active:focus>a{font-weight:bold;background-color:transparent;border-right:1px solid}.bs-sidebar .nav .nav{display:none;margin-bottom:8px}.bs-sidebar .nav .nav>li>a{padding-top:3px;padding-bottom:3px;padding-left:30px;font-size:90%}@media(min-width:992px){.bs-sidebar .nav>.active>ul{display:block}.bs-sidebar.affix,.bs-sidebar.affix-bottom{width:213px}.bs-sidebar.affix{position:fixed;top:80px;max-height:calc(100% - 180px);overflow-y:auto}.bs-sidebar.affix-bottom{position:absolute}.bs-sidebar.affix-bottom .bs-sidenav,.bs-sidebar.affix .bs-sidenav{margin-top:0;margin-bottom:0}}@media(min-width:1200px){.bs-sidebar.affix-bottom,.bs-sidebar.affix{width:263px}}.dropdown-submenu{position:relative}.dropdown-submenu>.dropdown-menu{top:0;left:100%;margin-top:0;margin-left:0}.dropdown-submenu:hover>.dropdown-menu{display:block}.dropdown-submenu>a:after{display:block;content:" ";float:right;width:0;height:0;border-color:transparent;border-style:solid;border-width:5px 0 5px 5px;border-left-color:#ccc;margin-top:5px;margin-right:-10px}.dropdown-submenu:hover>a:after{border-left-color:#fff}.dropdown-submenu.pull-left{float:none}.dropdown-submenu.pull-left>.dropdown-menu{left:-100%;margin-left:00px}.bs-callout{padding:20px;margin:20px 0;border:1px solid #eee;border-left-width:5px;border-radius:3px;background-color:#fcfdff}.bs-callout h4{font-style:normal;font-weight:400;margin-top:0;margin-bottom:5px}.bs-callout p:last-child{margin-bottom:0}.bs-callout code{border-radius:3px}.bs-callout+.bs-callout{margin-top:-5px}.bs-callout-default{border-left-color:#fa023c}.bs-callout-default h4{color:#fa023c}.bs-callout-primary{border-left-color:#428bca}.bs-callout-primary h4{color:#428bca}.bs-callout-success{border-left-color:#5cb85c}.bs-callout-success h4{color:#5cb85c}.bs-callout-danger{border-left-color:#d9534f}.bs-callout-danger h4{color:#d9534f}.bs-callout-warning{border-left-color:#f0ad4e}.bs-callout-warning h4{color:#f0ad4e}.bs-callout-info{border-left-color:#5bc0de}.bs-callout-info h4{color:#5bc0de}.headerlink{display:none;padding-left:.5em}h1:hover .headerlink,h2:hover .headerlink,h3:hover .headerlink,h4:hover .headerlink,h5:hover .headerlink,h6:hover .headerlink{display:inline-block}.admonition{padding:20px;margin:20px 0;border:1px solid #eee;border-left-width:5px;border-radius:3px;background-color:#fcfdff}.admonition p:last-child{margin-bottom:0}.admonition code{border-radius:3px}.admonition+.admonition{margin-top:-5px}.admonition.note{border-left-color:#428bca}.admonition.warning{border-left-color:#f0ad4e}.admonition.danger{border-left-color:#d9534f}.admonition-title{font-size:19px;font-style:normal;font-weight:400;margin-top:0;margin-bottom:5px}.admonition.note>.admonition-title{color:#428bca}.admonition.warning>.admonition-title{color:#f0ad4e}.admonition.danger>.admonition-title{color:#d9534f} diff --git a/0.2/css/bootstrap-custom.css b/0.2/css/bootstrap-custom.css new file mode 100644 index 0000000..631252d --- /dev/null +++ b/0.2/css/bootstrap-custom.css @@ -0,0 +1,5309 @@ +/*! normalize.css v2.1.3 | MIT License | git.io/normalize */ +article, aside, details, figcaption, figure, footer, header, hgroup, main, nav, section, summary { + display: block; +} +audio, canvas, video { + display: inline-block; +} +audio:not([controls]) { + display: none; + height: 0; +} +[hidden], template { + display: none; +} +html { + font-family: sans-serif; + -webkit-text-size-adjust: 100%; + -ms-text-size-adjust: 100%} +body { + margin: 0; +} +a { + background: transparent; +} +a:focus { + outline: thin dotted; +} +a:active, a:hover { + outline: 0; +} +h1 { + margin: .67em 0; + font-size: 2em; +} +abbr[title] { + border-bottom: 1px dotted; +} +b, strong { + font-weight: bold; +} +dfn { + font-style: italic; +} +hr { + height: 0; + -moz-box-sizing: content-box; + box-sizing: content-box; +} +mark { + color: #000; + background: #ff0; +} +code, kbd, pre, samp { + font-family: Hack, monospace, serif; + font-size: 1em; +} +pre { + white-space: pre-wrap; +} +q { + quotes: "\201C" "\201D" "\2018" "\2019"} +small { + font-size: 80%} +sub, sup { + position: relative; + font-size: 75%; + line-height: 0; + vertical-align: baseline; +} +sup { + top: -0.5em; +} +sub { + bottom: -0.25em; +} +img { + border: 0; +} +svg:not(:root) { + overflow: hidden; +} +figure { + margin: 0; +} +fieldset { + padding: .35em .625em .75em; + margin: 0 2px; + border: 1px solid #c0c0c0; +} +legend { + padding: 0; + border: 0; +} +button, input, select, textarea { + margin: 0; + font-family: inherit; + font-size: 100%} +button, input { + line-height: normal; +} +button, select { + text-transform: none; +} +button, html input[type="button"], input[type="reset"], input[type="submit"] { + cursor: pointer; + -webkit-appearance: button; +} +button[disabled], html input[disabled] { + cursor: default; +} +input[type="checkbox"], input[type="radio"] { + padding: 0; + box-sizing: border-box; +} +input[type="search"] { + -webkit-box-sizing: content-box; + -moz-box-sizing: content-box; + box-sizing: content-box; + -webkit-appearance: textfield; +} +input[type="search"]::-webkit-search-cancel-button, input[type="search"]::-webkit-search-decoration { + -webkit-appearance: none; +} +button::-moz-focus-inner, input::-moz-focus-inner { + padding: 0; + border: 0; +} +textarea { + overflow: auto; + vertical-align: top; +} +table { + border-collapse: collapse; + border-spacing: 0; +} +@media print { + * { + color: #000!important; + text-shadow: none!important; + background: transparent!important; + box-shadow: none!important; +} +a, a:visited { + text-decoration: underline; +} +a[href]:after { + content: " (" attr(href) ")"} +abbr[title]:after { + content: " (" attr(title) ")"} +a[href^="javascript:"]:after, a[href^="#"]:after { + content: ""} +pre, blockquote { + border: 1px solid #999; + page-break-inside: avoid; +} +thead { + display: table-header-group; +} +tr, img { + page-break-inside: avoid; +} +img { + max-width: 100%!important; +} +@page { + margin: 2cm .5cm; +} +p, h2, h3 { + orphans: 3; + widows: 3; +} +h2, h3 { + page-break-after: avoid; +} +select { + background: #fff!important; +} +.navbar { + display: none; +} +.table td, .table th { + background-color: #fff!important; +} +.btn>.caret, .dropup>.btn>.caret { + border-top-color: #000!important; +} +.label { + border: 1px solid #000; +} +.table { + border-collapse: collapse!important; +} +.table-bordered th, .table-bordered td { + border: 1px solid #ddd!important; +} +}*, *:before, *:after { + -webkit-box-sizing: border-box; + -moz-box-sizing: border-box; + box-sizing: border-box; +} +html { + font-size: 62.5%; + -webkit-tap-highlight-color: rgba(0, 0, 0, 0); +} +body { + font-family: Merriweather, Georgia, serif; + font-size: 14px; + line-height: 1.428571429; + color: #222; + background-color: #fff; +} +input, button, select, textarea { + font-family: inherit; + font-size: inherit; + line-height: inherit; +} +a { + color: #008cba; + text-decoration: none; +} +a:hover, a:focus { + color: #00526e; + text-decoration: underline; +} +a:focus { + outline: thin dotted; + outline: 5px auto -webkit-focus-ring-color; + outline-offset: -2px; +} +img { + vertical-align: middle; +} +.img-responsive { + display: block; + height: auto; + max-width: 100%} +.img-rounded { + border-radius: 0; +} +.img-thumbnail { + display: inline-block; + height: auto; + max-width: 100%; + padding: 4px; + line-height: 1.428571429; + background-color: #fff; + border: 1px solid #ddd; + border-radius: 0; + -webkit-transition: all .2s ease-in-out; + transition: all .2s ease-in-out; +} +.img-circle { + border-radius: 50%} +hr { + margin-top: 21px; + margin-bottom: 21px; + border: 0; + border-top: 1px solid #ddd; +} +.sr-only { + position: absolute; + width: 1px; + height: 1px; + padding: 0; + margin: -1px; + overflow: hidden; + clip: rect(0, 0, 0, 0); + border: 0; +} +h1, h2, h3, h4, h5, h6, .h1, .h2, .h3, .h4, .h5, .h6 { + font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif; + font-weight: 300; + line-height: 1.1; + color: inherit; +} +h1 small, h2 small, h3 small, h4 small, h5 small, h6 small, .h1 small, .h2 small, .h3 small, .h4 small, .h5 small, .h6 small, h1 .small, h2 .small, h3 .small, h4 .small, h5 .small, h6 .small, .h1 .small, .h2 .small, .h3 .small, .h4 .small, .h5 .small, .h6 .small { + font-weight: normal; + line-height: 1; + color: #999; +} +h1, h2, h3 { + margin-top: 21px; + margin-bottom: 10.5px; +} +h1 small, h2 small, h3 small, h1 .small, h2 .small, h3 .small { + font-size: 65%} +h4, h5, h6 { + margin-top: 10.5px; + margin-bottom: 10.5px; +} +h4 small, h5 small, h6 small, h4 .small, h5 .small, h6 .small { + font-size: 75%} +h1, .h1 { + font-size: 39px; +} +h2, .h2 { + font-size: 32px; +} +h3, .h3 { + font-size: 26px; +} +h4, .h4 { + font-size: 19px; +} +h5, .h5 { + font-size: 15px; +} +h6, .h6 { + font-size: 13px; +} +p { + margin: 0 0 10.5px; +} +.lead { + margin-bottom: 21px; + font-size: 17px; + font-weight: 200; + line-height: 1.4; +} +@media(min-width:768px) { + .lead { + font-size: 22.5px; +} +}small, .small { + font-size: 85%} +cite { + font-style: normal; +} +.text-muted { + color: #999; +} +.text-primary { + color: #008cba; +} +.text-primary:hover { + color: #006687; +} +.text-warning { + color: #e99002; +} +.text-warning:hover { + color: #b67102; +} +.text-danger { + color: #f04124; +} +.text-danger:hover { + color: #d32a0e; +} +.text-success { + color: #43ac6a; +} +.text-success:hover { + color: #358753; +} +.text-info { + color: #5bc0de; +} +.text-info:hover { + color: #31b0d5; +} +.text-left { + text-align: left; +} +.text-right { + text-align: right; +} +.text-center { + text-align: center; +} +.page-header { + padding-bottom: 9.5px; + margin: 42px 0 21px; + border-bottom: 1px solid #ddd; +} +ul, ol { + margin-top: 0; + margin-bottom: 10.5px; +} +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; +} +.list-inline>li { + display: inline-block; + padding-right: 5px; + padding-left: 5px; +} +.list-inline>li:first-child { + padding-left: 0; +} +dl { + margin-top: 0; + margin-bottom: 21px; +} +dt, dd { + line-height: 1.428571429; +} +dt { + font-weight: bold; +} +dd { + margin-left: 0; +} +@media(min-width:768px) { + .dl-horizontal dt { + float: left; + width: 160px; + overflow: hidden; + clear: left; + text-align: right; + text-overflow: ellipsis; + white-space: nowrap; +} +.dl-horizontal dd { + margin-left: 180px; +} +.dl-horizontal dd:before, .dl-horizontal dd:after { + display: table; + content: " "} +.dl-horizontal dd:after { + clear: both; +} +.dl-horizontal dd:before, .dl-horizontal dd:after { + display: table; + content: " "} +.dl-horizontal dd:after { + clear: both; +} +.dl-horizontal dd:before, .dl-horizontal dd:after { + display: table; + content: " "} +.dl-horizontal dd:after { + clear: both; +} +.dl-horizontal dd:before, .dl-horizontal dd:after { + display: table; + content: " "} +.dl-horizontal dd:after { + clear: both; +} +.dl-horizontal dd:before, .dl-horizontal dd:after { + display: table; + content: " "} +.dl-horizontal dd:after { + clear: both; +} +}abbr[title], abbr[data-original-title] { + cursor: help; + border-bottom: 1px dotted #999; +} +.initialism { + font-size: 90%; + text-transform: uppercase; +} +blockquote { + padding: 10.5px 21px; + margin: 0 0 21px; + border-left: 5px solid #ddd; +} +blockquote p { + font-size: 18.75px; + font-weight: 300; + line-height: 1.25; +} +blockquote p:last-child { + margin-bottom: 0; +} +blockquote small, blockquote .small { + display: block; + line-height: 1.428571429; + color: #6f6f6f; +} +blockquote small:before, blockquote .small:before { + content: '\2014 \00A0'} +blockquote.pull-right { + padding-right: 15px; + padding-left: 0; + border-right: 5px solid #ddd; + border-left: 0; +} +blockquote.pull-right p, blockquote.pull-right small, blockquote.pull-right .small { + text-align: right; +} +blockquote.pull-right small:before, blockquote.pull-right .small:before { + content: ''} +blockquote.pull-right small:after, blockquote.pull-right .small:after { + content: '\00A0 \2014'} +blockquote:before, blockquote:after { + content: ""} +address { + margin-bottom: 21px; + font-style: normal; + line-height: 1.428571429; +} +code, kbd, pre, samp { + font-family: Hack, Menlo, Monaco, Consolas, "Courier New", monospace; +} +code { + padding: 2px 4px; + font-size: 90%; + color: #c7254e; + white-space: nowrap; + background-color: #f9f2f4; + border-radius: 0; +} +pre { + display: block; + padding: 10px; + margin: 0 0 10.5px; + font-size: 14px; + line-height: 1.428571429; + color: #333; + word-break: break-all; + word-wrap: break-word; + background-color: #f5f5f5; + border: 1px solid #ccc; + border-radius: 0; +} +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 { + padding-right: 15px; + padding-left: 15px; + margin-right: auto; + margin-left: auto; +} +.container:before, .container:after { + display: table; + content: " "} +.container:after { + clear: both; +} +.container:before, .container:after { + display: table; + content: " "} +.container:after { + clear: both; +} +.container:before, .container:after { + display: table; + content: " "} +.container:after { + clear: both; +} +.container:before, .container:after { + display: table; + content: " "} +.container:after { + clear: both; +} +.container:before, .container:after { + display: table; + content: " "} +.container:after { + clear: both; +} +@media(min-width:768px) { + .container { + width: 750px; +} +}@media(min-width:992px) { + .container { + width: 970px; +} +}@media(min-width:1200px) { + .container { + width: 1170px; +} +}.row { + margin-right: -15px; + margin-left: -15px; +} +.row:before, .row:after { + display: table; + content: " "} +.row:after { + clear: both; +} +.row:before, .row:after { + display: table; + content: " "} +.row:after { + clear: both; +} +.row:before, .row:after { + display: table; + content: " "} +.row:after { + clear: both; +} +.row:before, .row:after { + display: table; + content: " "} +.row:after { + clear: both; +} +.row:before, .row:after { + display: table; + content: " "} +.row:after { + clear: both; +} +.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-right: 15px; + padding-left: 15px; +} +.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: 91.66666666666666%} +.col-xs-10 { + width: 83.33333333333334%} +.col-xs-9 { + width: 75%} +.col-xs-8 { + width: 66.66666666666666%} +.col-xs-7 { + width: 58.333333333333336%} +.col-xs-6 { + width: 50%} +.col-xs-5 { + width: 41.66666666666667%} +.col-xs-4 { + width: 33.33333333333333%} +.col-xs-3 { + width: 25%} +.col-xs-2 { + width: 16.666666666666664%} +.col-xs-1 { + width: 8.333333333333332%} +.col-xs-pull-12 { + right: 100%} +.col-xs-pull-11 { + right: 91.66666666666666%} +.col-xs-pull-10 { + right: 83.33333333333334%} +.col-xs-pull-9 { + right: 75%} +.col-xs-pull-8 { + right: 66.66666666666666%} +.col-xs-pull-7 { + right: 58.333333333333336%} +.col-xs-pull-6 { + right: 50%} +.col-xs-pull-5 { + right: 41.66666666666667%} +.col-xs-pull-4 { + right: 33.33333333333333%} +.col-xs-pull-3 { + right: 25%} +.col-xs-pull-2 { + right: 16.666666666666664%} +.col-xs-pull-1 { + right: 8.333333333333332%} +.col-xs-pull-0 { + right: 0; +} +.col-xs-push-12 { + left: 100%} +.col-xs-push-11 { + left: 91.66666666666666%} +.col-xs-push-10 { + left: 83.33333333333334%} +.col-xs-push-9 { + left: 75%} +.col-xs-push-8 { + left: 66.66666666666666%} +.col-xs-push-7 { + left: 58.333333333333336%} +.col-xs-push-6 { + left: 50%} +.col-xs-push-5 { + left: 41.66666666666667%} +.col-xs-push-4 { + left: 33.33333333333333%} +.col-xs-push-3 { + left: 25%} +.col-xs-push-2 { + left: 16.666666666666664%} +.col-xs-push-1 { + left: 8.333333333333332%} +.col-xs-push-0 { + left: 0; +} +.col-xs-offset-12 { + margin-left: 100%} +.col-xs-offset-11 { + margin-left: 91.66666666666666%} +.col-xs-offset-10 { + margin-left: 83.33333333333334%} +.col-xs-offset-9 { + margin-left: 75%} +.col-xs-offset-8 { + margin-left: 66.66666666666666%} +.col-xs-offset-7 { + margin-left: 58.333333333333336%} +.col-xs-offset-6 { + margin-left: 50%} +.col-xs-offset-5 { + margin-left: 41.66666666666667%} +.col-xs-offset-4 { + margin-left: 33.33333333333333%} +.col-xs-offset-3 { + margin-left: 25%} +.col-xs-offset-2 { + margin-left: 16.666666666666664%} +.col-xs-offset-1 { + margin-left: 8.333333333333332%} +.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: 91.66666666666666%} +.col-sm-10 { + width: 83.33333333333334%} +.col-sm-9 { + width: 75%} +.col-sm-8 { + width: 66.66666666666666%} +.col-sm-7 { + width: 58.333333333333336%} +.col-sm-6 { + width: 50%} +.col-sm-5 { + width: 41.66666666666667%} +.col-sm-4 { + width: 33.33333333333333%} +.col-sm-3 { + width: 25%} +.col-sm-2 { + width: 16.666666666666664%} +.col-sm-1 { + width: 8.333333333333332%} +.col-sm-pull-12 { + right: 100%} +.col-sm-pull-11 { + right: 91.66666666666666%} +.col-sm-pull-10 { + right: 83.33333333333334%} +.col-sm-pull-9 { + right: 75%} +.col-sm-pull-8 { + right: 66.66666666666666%} +.col-sm-pull-7 { + right: 58.333333333333336%} +.col-sm-pull-6 { + right: 50%} +.col-sm-pull-5 { + right: 41.66666666666667%} +.col-sm-pull-4 { + right: 33.33333333333333%} +.col-sm-pull-3 { + right: 25%} +.col-sm-pull-2 { + right: 16.666666666666664%} +.col-sm-pull-1 { + right: 8.333333333333332%} +.col-sm-pull-0 { + right: 0; +} +.col-sm-push-12 { + left: 100%} +.col-sm-push-11 { + left: 91.66666666666666%} +.col-sm-push-10 { + left: 83.33333333333334%} +.col-sm-push-9 { + left: 75%} +.col-sm-push-8 { + left: 66.66666666666666%} +.col-sm-push-7 { + left: 58.333333333333336%} +.col-sm-push-6 { + left: 50%} +.col-sm-push-5 { + left: 41.66666666666667%} +.col-sm-push-4 { + left: 33.33333333333333%} +.col-sm-push-3 { + left: 25%} +.col-sm-push-2 { + left: 16.666666666666664%} +.col-sm-push-1 { + left: 8.333333333333332%} +.col-sm-push-0 { + left: 0; +} +.col-sm-offset-12 { + margin-left: 100%} +.col-sm-offset-11 { + margin-left: 91.66666666666666%} +.col-sm-offset-10 { + margin-left: 83.33333333333334%} +.col-sm-offset-9 { + margin-left: 75%} +.col-sm-offset-8 { + margin-left: 66.66666666666666%} +.col-sm-offset-7 { + margin-left: 58.333333333333336%} +.col-sm-offset-6 { + margin-left: 50%} +.col-sm-offset-5 { + margin-left: 41.66666666666667%} +.col-sm-offset-4 { + margin-left: 33.33333333333333%} +.col-sm-offset-3 { + margin-left: 25%} +.col-sm-offset-2 { + margin-left: 16.666666666666664%} +.col-sm-offset-1 { + margin-left: 8.333333333333332%} +.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: 91.66666666666666%} +.col-md-10 { + width: 83.33333333333334%} +.col-md-9 { + width: 75%} +.col-md-8 { + width: 66.66666666666666%} +.col-md-7 { + width: 58.333333333333336%} +.col-md-6 { + width: 50%} +.col-md-5 { + width: 41.66666666666667%} +.col-md-4 { + width: 33.33333333333333%} +.col-md-3 { + width: 25%} +.col-md-2 { + width: 16.666666666666664%} +.col-md-1 { + width: 8.333333333333332%} +.col-md-pull-12 { + right: 100%} +.col-md-pull-11 { + right: 91.66666666666666%} +.col-md-pull-10 { + right: 83.33333333333334%} +.col-md-pull-9 { + right: 75%} +.col-md-pull-8 { + right: 66.66666666666666%} +.col-md-pull-7 { + right: 58.333333333333336%} +.col-md-pull-6 { + right: 50%} +.col-md-pull-5 { + right: 41.66666666666667%} +.col-md-pull-4 { + right: 33.33333333333333%} +.col-md-pull-3 { + right: 25%} +.col-md-pull-2 { + right: 16.666666666666664%} +.col-md-pull-1 { + right: 8.333333333333332%} +.col-md-pull-0 { + right: 0; +} +.col-md-push-12 { + left: 100%} +.col-md-push-11 { + left: 91.66666666666666%} +.col-md-push-10 { + left: 83.33333333333334%} +.col-md-push-9 { + left: 75%} +.col-md-push-8 { + left: 66.66666666666666%} +.col-md-push-7 { + left: 58.333333333333336%} +.col-md-push-6 { + left: 50%} +.col-md-push-5 { + left: 41.66666666666667%} +.col-md-push-4 { + left: 33.33333333333333%} +.col-md-push-3 { + left: 25%} +.col-md-push-2 { + left: 16.666666666666664%} +.col-md-push-1 { + left: 8.333333333333332%} +.col-md-push-0 { + left: 0; +} +.col-md-offset-12 { + margin-left: 100%} +.col-md-offset-11 { + margin-left: 91.66666666666666%} +.col-md-offset-10 { + margin-left: 83.33333333333334%} +.col-md-offset-9 { + margin-left: 75%} +.col-md-offset-8 { + margin-left: 66.66666666666666%} +.col-md-offset-7 { + margin-left: 58.333333333333336%} +.col-md-offset-6 { + margin-left: 50%} +.col-md-offset-5 { + margin-left: 41.66666666666667%} +.col-md-offset-4 { + margin-left: 33.33333333333333%} +.col-md-offset-3 { + margin-left: 25%} +.col-md-offset-2 { + margin-left: 16.666666666666664%} +.col-md-offset-1 { + margin-left: 8.333333333333332%} +.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: 91.66666666666666%} +.col-lg-10 { + width: 83.33333333333334%} +.col-lg-9 { + width: 75%} +.col-lg-8 { + width: 66.66666666666666%} +.col-lg-7 { + width: 58.333333333333336%} +.col-lg-6 { + width: 50%} +.col-lg-5 { + width: 41.66666666666667%} +.col-lg-4 { + width: 33.33333333333333%} +.col-lg-3 { + width: 25%} +.col-lg-2 { + width: 16.666666666666664%} +.col-lg-1 { + width: 8.333333333333332%} +.col-lg-pull-12 { + right: 100%} +.col-lg-pull-11 { + right: 91.66666666666666%} +.col-lg-pull-10 { + right: 83.33333333333334%} +.col-lg-pull-9 { + right: 75%} +.col-lg-pull-8 { + right: 66.66666666666666%} +.col-lg-pull-7 { + right: 58.333333333333336%} +.col-lg-pull-6 { + right: 50%} +.col-lg-pull-5 { + right: 41.66666666666667%} +.col-lg-pull-4 { + right: 33.33333333333333%} +.col-lg-pull-3 { + right: 25%} +.col-lg-pull-2 { + right: 16.666666666666664%} +.col-lg-pull-1 { + right: 8.333333333333332%} +.col-lg-pull-0 { + right: 0; +} +.col-lg-push-12 { + left: 100%} +.col-lg-push-11 { + left: 91.66666666666666%} +.col-lg-push-10 { + left: 83.33333333333334%} +.col-lg-push-9 { + left: 75%} +.col-lg-push-8 { + left: 66.66666666666666%} +.col-lg-push-7 { + left: 58.333333333333336%} +.col-lg-push-6 { + left: 50%} +.col-lg-push-5 { + left: 41.66666666666667%} +.col-lg-push-4 { + left: 33.33333333333333%} +.col-lg-push-3 { + left: 25%} +.col-lg-push-2 { + left: 16.666666666666664%} +.col-lg-push-1 { + left: 8.333333333333332%} +.col-lg-push-0 { + left: 0; +} +.col-lg-offset-12 { + margin-left: 100%} +.col-lg-offset-11 { + margin-left: 91.66666666666666%} +.col-lg-offset-10 { + margin-left: 83.33333333333334%} +.col-lg-offset-9 { + margin-left: 75%} +.col-lg-offset-8 { + margin-left: 66.66666666666666%} +.col-lg-offset-7 { + margin-left: 58.333333333333336%} +.col-lg-offset-6 { + margin-left: 50%} +.col-lg-offset-5 { + margin-left: 41.66666666666667%} +.col-lg-offset-4 { + margin-left: 33.33333333333333%} +.col-lg-offset-3 { + margin-left: 25%} +.col-lg-offset-2 { + margin-left: 16.666666666666664%} +.col-lg-offset-1 { + margin-left: 8.333333333333332%} +.col-lg-offset-0 { + margin-left: 0; +} +}table { + max-width: 100%; + background-color: transparent; +} +th { + text-align: left; +} +.table { + width: 100%; + margin-bottom: 21px; +} +.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: 1.428571429; + 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-child(odd)>td, .table-striped>tbody>tr:nth-child(odd)>th { + background-color: #f9f9f9; +} +.table-hover>tbody>tr:hover>td, .table-hover>tbody>tr:hover>th { + background-color: #f5f5f5; +} +table col[class*="col-"] { + position: static; + display: table-column; + float: none; +} +table td[class*="col-"], table th[class*="col-"] { + display: table-cell; + float: none; +} +.table>thead>tr>.active, .table>tbody>tr>.active, .table>tfoot>tr>.active, .table>thead>.active>td, .table>tbody>.active>td, .table>tfoot>.active>td, .table>thead>.active>th, .table>tbody>.active>th, .table>tfoot>.active>th { + background-color: #f5f5f5; +} +.table-hover>tbody>tr>.active:hover, .table-hover>tbody>.active:hover>td, .table-hover>tbody>.active:hover>th { + background-color: #e8e8e8; +} +.table>thead>tr>.success, .table>tbody>tr>.success, .table>tfoot>tr>.success, .table>thead>.success>td, .table>tbody>.success>td, .table>tfoot>.success>td, .table>thead>.success>th, .table>tbody>.success>th, .table>tfoot>.success>th { + background-color: #dff0d8; +} +.table-hover>tbody>tr>.success:hover, .table-hover>tbody>.success:hover>td, .table-hover>tbody>.success:hover>th { + background-color: #d0e9c6; +} +.table>thead>tr>.danger, .table>tbody>tr>.danger, .table>tfoot>tr>.danger, .table>thead>.danger>td, .table>tbody>.danger>td, .table>tfoot>.danger>td, .table>thead>.danger>th, .table>tbody>.danger>th, .table>tfoot>.danger>th { + background-color: #f2dede; +} +.table-hover>tbody>tr>.danger:hover, .table-hover>tbody>.danger:hover>td, .table-hover>tbody>.danger:hover>th { + background-color: #ebcccc; +} +.table>thead>tr>.warning, .table>tbody>tr>.warning, .table>tfoot>tr>.warning, .table>thead>.warning>td, .table>tbody>.warning>td, .table>tfoot>.warning>td, .table>thead>.warning>th, .table>tbody>.warning>th, .table>tfoot>.warning>th { + background-color: #fcf8e3; +} +.table-hover>tbody>tr>.warning:hover, .table-hover>tbody>.warning:hover>td, .table-hover>tbody>.warning:hover>th { + background-color: #faf2cc; +} +@media(max-width:767px) { + .table-responsive { + width: 100%; + margin-bottom: 15.75px; + overflow-x: scroll; + overflow-y: hidden; + border: 1px solid #ddd; + -ms-overflow-style: -ms-autohiding-scrollbar; + -webkit-overflow-scrolling: touch; +} +.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; +} +legend { + display: block; + width: 100%; + padding: 0; + margin-bottom: 21px; + font-size: 22.5px; + line-height: inherit; + color: #333; + border: 0; + border-bottom: 1px solid #e5e5e5; +} +label { + display: inline-block; + 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; +} +select[multiple], select[size] { + height: auto; +} +select optgroup { + font-family: inherit; + font-size: inherit; + font-style: inherit; +} +input[type="file"]:focus, input[type="radio"]:focus, input[type="checkbox"]:focus { + outline: thin dotted; + outline: 5px auto -webkit-focus-ring-color; + outline-offset: -2px; +} +input[type="number"]::-webkit-outer-spin-button, input[type="number"]::-webkit-inner-spin-button { + height: auto; +} +output { + display: block; + padding-top: 7px; + font-size: 15px; + line-height: 1.428571429; + color: #6f6f6f; + vertical-align: middle; +} +.form-control { + display: block; + width: 100%; + height: 35px; + padding: 6px 12px; + font-size: 15px; + line-height: 1.428571429; + color: #6f6f6f; + vertical-align: middle; + background-color: #fff; + background-image: none; + border: 1px solid #ccc; + border-radius: 0; + -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; + 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, 0.075), 0 0 8px rgba(102, 175, 233, 0.6); + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 8px rgba(102, 175, 233, 0.6); +} +.form-control:-moz-placeholder { + color: #999; +} +.form-control::-moz-placeholder { + color: #999; + opacity: 1; +} +.form-control:-ms-input-placeholder { + color: #999; +} +.form-control::-webkit-input-placeholder { + color: #999; +} +.form-control[disabled], .form-control[readonly], fieldset[disabled] .form-control { + cursor: not-allowed; + background-color: #eee; +} +textarea.form-control { + height: auto; +} +.form-group { + margin-bottom: 15px; +} +.radio, .checkbox { + display: block; + min-height: 21px; + padding-left: 20px; + margin-top: 10px; + margin-bottom: 10px; + vertical-align: middle; +} +.radio label, .checkbox label { + display: inline; + 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"] { + float: left; + margin-left: -20px; +} +.radio+.radio, .checkbox+.checkbox { + margin-top: -5px; +} +.radio-inline, .checkbox-inline { + display: inline-block; + padding-left: 20px; + margin-bottom: 0; + font-weight: normal; + vertical-align: middle; + cursor: pointer; +} +.radio-inline+.radio-inline, .checkbox-inline+.checkbox-inline { + margin-top: 0; + margin-left: 10px; +} +input[type="radio"][disabled], input[type="checkbox"][disabled], .radio[disabled], .radio-inline[disabled], .checkbox[disabled], .checkbox-inline[disabled], fieldset[disabled] input[type="radio"], fieldset[disabled] input[type="checkbox"], fieldset[disabled] .radio, fieldset[disabled] .radio-inline, fieldset[disabled] .checkbox, fieldset[disabled] .checkbox-inline { + cursor: not-allowed; +} +.input-sm { + height: 30px; + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 0; +} +select.input-sm { + height: 30px; + line-height: 30px; +} +textarea.input-sm { + height: auto; +} +.input-lg { + height: 48px; + padding: 10px 16px; + font-size: 19px; + line-height: 1.33; + border-radius: 0; +} +select.input-lg { + height: 48px; + line-height: 48px; +} +textarea.input-lg { + height: auto; +} +.has-warning .help-block, .has-warning .control-label, .has-warning .radio, .has-warning .checkbox, .has-warning .radio-inline, .has-warning .checkbox-inline { + color: #e99002; +} +.has-warning .form-control { + border-color: #e99002; + -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: #b67102; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #febc53; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #febc53; +} +.has-warning .input-group-addon { + color: #e99002; + background-color: #fcf8e3; + border-color: #e99002; +} +.has-error .help-block, .has-error .control-label, .has-error .radio, .has-error .checkbox, .has-error .radio-inline, .has-error .checkbox-inline { + color: #f04124; +} +.has-error .form-control { + border-color: #f04124; + -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: #d32a0e; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #f79483; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #f79483; +} +.has-error .input-group-addon { + color: #f04124; + background-color: #f2dede; + border-color: #f04124; +} +.has-success .help-block, .has-success .control-label, .has-success .radio, .has-success .checkbox, .has-success .radio-inline, .has-success .checkbox-inline { + color: #43ac6a; +} +.has-success .form-control { + border-color: #43ac6a; + -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: #358753; + -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #85d0a1; + box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #85d0a1; +} +.has-success .input-group-addon { + color: #43ac6a; + background-color: #dff0d8; + border-color: #43ac6a; +} +.form-control-static { + margin-bottom: 0; +} +.help-block { + display: block; + margin-top: 5px; + margin-bottom: 10px; + color: #626262; +} +@media(min-width:768px) { + .form-inline .form-group { + display: inline-block; + margin-bottom: 0; + vertical-align: middle; +} +.form-inline .form-control { + display: inline-block; +} +.form-inline select.form-control { + width: auto; +} +.form-inline .radio, .form-inline .checkbox { + display: inline-block; + padding-left: 0; + margin-top: 0; + margin-bottom: 0; +} +.form-inline .radio input[type="radio"], .form-inline .checkbox input[type="checkbox"] { + float: none; + margin-left: 0; +} +}.form-horizontal .control-label, .form-horizontal .radio, .form-horizontal .checkbox, .form-horizontal .radio-inline, .form-horizontal .checkbox-inline { + padding-top: 7px; + margin-top: 0; + margin-bottom: 0; +} +.form-horizontal .radio, .form-horizontal .checkbox { + min-height: 28px; +} +.form-horizontal .form-group { + margin-right: -15px; + margin-left: -15px; +} +.form-horizontal .form-group:before, .form-horizontal .form-group:after { + display: table; + content: " "} +.form-horizontal .form-group:after { + clear: both; +} +.form-horizontal .form-group:before, .form-horizontal .form-group:after { + display: table; + content: " "} +.form-horizontal .form-group:after { + clear: both; +} +.form-horizontal .form-group:before, .form-horizontal .form-group:after { + display: table; + content: " "} +.form-horizontal .form-group:after { + clear: both; +} +.form-horizontal .form-group:before, .form-horizontal .form-group:after { + display: table; + content: " "} +.form-horizontal .form-group:after { + clear: both; +} +.form-horizontal .form-group:before, .form-horizontal .form-group:after { + display: table; + content: " "} +.form-horizontal .form-group:after { + clear: both; +} +.form-horizontal .form-control-static { + padding-top: 7px; +} +@media(min-width:768px) { + .form-horizontal .control-label { + text-align: right; +} +}.btn { + display: inline-block; + padding: 6px 12px; + margin-bottom: 0; + font-size: 15px; + font-weight: normal; + line-height: 1.428571429; + text-align: center; + white-space: nowrap; + vertical-align: middle; + cursor: pointer; + background-image: none; + border: 1px solid transparent; + border-radius: 0; + -webkit-user-select: none; + -moz-user-select: none; + -ms-user-select: none; + -o-user-select: none; + user-select: none; +} +.btn:focus { + outline: thin dotted; + outline: 5px auto -webkit-focus-ring-color; + outline-offset: -2px; +} +.btn:hover, .btn:focus { + color: #333; + text-decoration: none; +} +.btn:active, .btn.active { + background-image: none; + outline: 0; + -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 { + pointer-events: none; + cursor: not-allowed; + opacity: .65; + filter: alpha(opacity=65); + -webkit-box-shadow: none; + box-shadow: none; +} +.btn-default { + color: #333; + background-color: #e7e7e7; + border-color: #dadada; +} +.btn-default:hover, .btn-default:focus, .btn-default:active, .btn-default.active, .open .dropdown-toggle.btn-default { + color: #333; + background-color: #d3d3d3; + border-color: #bbb; +} +.btn-default:active, .btn-default.active, .open .dropdown-toggle.btn-default { + background-image: none; +} +.btn-default.disabled, .btn-default[disabled], fieldset[disabled] .btn-default, .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:active, .btn-default[disabled]:active, fieldset[disabled] .btn-default:active, .btn-default.disabled.active, .btn-default[disabled].active, fieldset[disabled] .btn-default.active { + background-color: #e7e7e7; + border-color: #dadada; +} +.btn-default .badge { + color: #e7e7e7; + background-color: #fff; +} +.btn-primary { + color: #fff; + background-color: #008cba; + border-color: #0079a1; +} +.btn-primary:hover, .btn-primary:focus, .btn-primary:active, .btn-primary.active, .open .dropdown-toggle.btn-primary { + color: #fff; + background-color: #006d91; + border-color: #004b63; +} +.btn-primary:active, .btn-primary.active, .open .dropdown-toggle.btn-primary { + background-image: none; +} +.btn-primary.disabled, .btn-primary[disabled], fieldset[disabled] .btn-primary, .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:active, .btn-primary[disabled]:active, fieldset[disabled] .btn-primary:active, .btn-primary.disabled.active, .btn-primary[disabled].active, fieldset[disabled] .btn-primary.active { + background-color: #008cba; + border-color: #0079a1; +} +.btn-primary .badge { + color: #008cba; + background-color: #fff; +} +.btn-warning { + color: #fff; + background-color: #e99002; + border-color: #d08002; +} +.btn-warning:hover, .btn-warning:focus, .btn-warning:active, .btn-warning.active, .open .dropdown-toggle.btn-warning { + color: #fff; + background-color: #c17702; + border-color: #935b01; +} +.btn-warning:active, .btn-warning.active, .open .dropdown-toggle.btn-warning { + background-image: none; +} +.btn-warning.disabled, .btn-warning[disabled], fieldset[disabled] .btn-warning, .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:active, .btn-warning[disabled]:active, fieldset[disabled] .btn-warning:active, .btn-warning.disabled.active, .btn-warning[disabled].active, fieldset[disabled] .btn-warning.active { + background-color: #e99002; + border-color: #d08002; +} +.btn-warning .badge { + color: #e99002; + background-color: #fff; +} +.btn-danger { + color: #fff; + background-color: #f04124; + border-color: #ea2f10; +} +.btn-danger:hover, .btn-danger:focus, .btn-danger:active, .btn-danger.active, .open .dropdown-toggle.btn-danger { + color: #fff; + background-color: #dc2c0f; + border-color: #b1240c; +} +.btn-danger:active, .btn-danger.active, .open .dropdown-toggle.btn-danger { + background-image: none; +} +.btn-danger.disabled, .btn-danger[disabled], fieldset[disabled] .btn-danger, .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:active, .btn-danger[disabled]:active, fieldset[disabled] .btn-danger:active, .btn-danger.disabled.active, .btn-danger[disabled].active, fieldset[disabled] .btn-danger.active { + background-color: #f04124; + border-color: #ea2f10; +} +.btn-danger .badge { + color: #f04124; + background-color: #fff; +} +.btn-success { + color: #fff; + background-color: #43ac6a; + border-color: #3c9a5f; +} +.btn-success:hover, .btn-success:focus, .btn-success:active, .btn-success.active, .open .dropdown-toggle.btn-success { + color: #fff; + background-color: #388f58; + border-color: #2b6e44; +} +.btn-success:active, .btn-success.active, .open .dropdown-toggle.btn-success { + background-image: none; +} +.btn-success.disabled, .btn-success[disabled], fieldset[disabled] .btn-success, .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:active, .btn-success[disabled]:active, fieldset[disabled] .btn-success:active, .btn-success.disabled.active, .btn-success[disabled].active, fieldset[disabled] .btn-success.active { + background-color: #43ac6a; + border-color: #3c9a5f; +} +.btn-success .badge { + color: #43ac6a; + background-color: #fff; +} +.btn-info { + color: #fff; + background-color: #5bc0de; + border-color: #46b8da; +} +.btn-info:hover, .btn-info:focus, .btn-info:active, .btn-info.active, .open .dropdown-toggle.btn-info { + color: #fff; + background-color: #39b3d7; + border-color: #269abc; +} +.btn-info:active, .btn-info.active, .open .dropdown-toggle.btn-info { + background-image: none; +} +.btn-info.disabled, .btn-info[disabled], fieldset[disabled] .btn-info, .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:active, .btn-info[disabled]:active, fieldset[disabled] .btn-info:active, .btn-info.disabled.active, .btn-info[disabled].active, fieldset[disabled] .btn-info.active { + background-color: #5bc0de; + border-color: #46b8da; +} +.btn-info .badge { + color: #5bc0de; + background-color: #fff; +} +.btn-link { + font-weight: normal; + color: #008cba; + cursor: pointer; + border-radius: 0; +} +.btn-link, .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: #00526e; + 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: #999; + text-decoration: none; +} +.btn-lg { + padding: 10px 16px; + font-size: 19px; + line-height: 1.33; + border-radius: 0; +} +.btn-sm { + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 0; +} +.btn-xs { + padding: 1px 5px; + font-size: 12px; + line-height: 1.5; + border-radius: 0; +} +.btn-block { + display: block; + width: 100%; + padding-right: 0; + padding-left: 0; +} +.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 .15s linear; + transition: opacity .15s linear; +} +.fade.in { + opacity: 1; +} +.collapse { + display: none; +} +.collapse.in { + display: block; +} +.collapsing { + position: relative; + height: 0; + overflow: hidden; + -webkit-transition: height .35s ease; + transition: height .35s ease; +} +@font-face { + font-family: 'Glyphicons Halflings'; + src: url('../fonts/glyphicons-halflings-regular.eot'); + src: url('../fonts/glyphicons-halflings-regular.eot?#iefix') format('embedded-opentype'), url('../fonts/glyphicons-halflings-regular.woff') format('woff'), url('../fonts/glyphicons-halflings-regular.ttf') format('truetype'), url('../fonts/glyphicons-halflings-regular.svg#glyphicons-halflingsregular') format('svg'); +} +.glyphicon { + position: relative; + top: 1px; + display: inline-block; + font-family: 'Glyphicons Halflings'; + -webkit-font-smoothing: antialiased; + font-style: normal; + font-weight: normal; + line-height: 1; + -moz-osx-font-smoothing: grayscale; +} +.glyphicon:empty { + width: 1em; +} +.glyphicon-asterisk:before { + content: "\2a"} +.glyphicon-plus:before { + content: "\2b"} +.glyphicon-euro:before { + content: "\20ac"} +.glyphicon-minus:before { + content: "\2212"} +.glyphicon-cloud:before { + content: "\2601"} +.glyphicon-envelope:before { + content: "\2709"} +.glyphicon-pencil:before { + content: "\270f"} +.glyphicon-glass:before { + content: "\e001"} +.glyphicon-music:before { + content: "\e002"} +.glyphicon-search:before { + content: "\e003"} +.glyphicon-heart:before { + content: "\e005"} +.glyphicon-star:before { + content: "\e006"} +.glyphicon-star-empty:before { + content: "\e007"} +.glyphicon-user:before { + content: "\e008"} +.glyphicon-film:before { + content: "\e009"} +.glyphicon-th-large:before { + content: "\e010"} +.glyphicon-th:before { + content: "\e011"} +.glyphicon-th-list:before { + content: "\e012"} +.glyphicon-ok:before { + content: "\e013"} +.glyphicon-remove:before { + content: "\e014"} +.glyphicon-zoom-in:before { + content: "\e015"} +.glyphicon-zoom-out:before { + content: "\e016"} +.glyphicon-off:before { + content: "\e017"} +.glyphicon-signal:before { + content: "\e018"} +.glyphicon-cog:before { + content: "\e019"} +.glyphicon-trash:before { + content: "\e020"} +.glyphicon-home:before { + content: "\e021"} +.glyphicon-file:before { + content: "\e022"} +.glyphicon-time:before { + content: "\e023"} +.glyphicon-road:before { + content: "\e024"} +.glyphicon-download-alt:before { + content: "\e025"} +.glyphicon-download:before { + content: "\e026"} +.glyphicon-upload:before { + content: "\e027"} +.glyphicon-inbox:before { + content: "\e028"} +.glyphicon-play-circle:before { + content: "\e029"} +.glyphicon-repeat:before { + content: "\e030"} +.glyphicon-refresh:before { + content: "\e031"} +.glyphicon-list-alt:before { + content: "\e032"} +.glyphicon-lock:before { + content: "\e033"} +.glyphicon-flag:before { + content: "\e034"} +.glyphicon-headphones:before { + content: "\e035"} +.glyphicon-volume-off:before { + content: "\e036"} +.glyphicon-volume-down:before { + content: "\e037"} +.glyphicon-volume-up:before { + content: "\e038"} +.glyphicon-qrcode:before { + content: "\e039"} +.glyphicon-barcode:before { + content: "\e040"} +.glyphicon-tag:before { + content: "\e041"} +.glyphicon-tags:before { + content: "\e042"} +.glyphicon-book:before { + content: "\e043"} +.glyphicon-bookmark:before { + content: "\e044"} +.glyphicon-print:before { + content: "\e045"} +.glyphicon-camera:before { + content: "\e046"} +.glyphicon-font:before { + content: "\e047"} +.glyphicon-bold:before { + content: "\e048"} +.glyphicon-italic:before { + content: "\e049"} +.glyphicon-text-height:before { + content: "\e050"} +.glyphicon-text-width:before { + content: "\e051"} +.glyphicon-align-left:before { + content: "\e052"} +.glyphicon-align-center:before { + content: "\e053"} +.glyphicon-align-right:before { + content: "\e054"} +.glyphicon-align-justify:before { + content: "\e055"} +.glyphicon-list:before { + content: "\e056"} +.glyphicon-indent-left:before { + content: "\e057"} +.glyphicon-indent-right:before { + content: "\e058"} +.glyphicon-facetime-video:before { + content: "\e059"} +.glyphicon-picture:before { + content: "\e060"} +.glyphicon-map-marker:before { + content: "\e062"} +.glyphicon-adjust:before { + content: "\e063"} +.glyphicon-tint:before { + content: "\e064"} +.glyphicon-edit:before { + content: "\e065"} +.glyphicon-share:before { + content: "\e066"} +.glyphicon-check:before { + content: "\e067"} +.glyphicon-move:before { + content: "\e068"} +.glyphicon-step-backward:before { + content: "\e069"} +.glyphicon-fast-backward:before { + content: "\e070"} +.glyphicon-backward:before { + content: "\e071"} +.glyphicon-play:before { + content: "\e072"} +.glyphicon-pause:before { + content: "\e073"} +.glyphicon-stop:before { + content: "\e074"} +.glyphicon-forward:before { + content: "\e075"} +.glyphicon-fast-forward:before { + content: "\e076"} +.glyphicon-step-forward:before { + content: "\e077"} +.glyphicon-eject:before { + content: "\e078"} +.glyphicon-chevron-left:before { + content: "\e079"} +.glyphicon-chevron-right:before { + content: "\e080"} +.glyphicon-plus-sign:before { + content: "\e081"} +.glyphicon-minus-sign:before { + content: "\e082"} +.glyphicon-remove-sign:before { + content: "\e083"} +.glyphicon-ok-sign:before { + content: "\e084"} +.glyphicon-question-sign:before { + content: "\e085"} +.glyphicon-info-sign:before { + content: "\e086"} +.glyphicon-screenshot:before { + content: "\e087"} +.glyphicon-remove-circle:before { + content: "\e088"} +.glyphicon-ok-circle:before { + content: "\e089"} +.glyphicon-ban-circle:before { + content: "\e090"} +.glyphicon-arrow-left:before { + content: "\e091"} +.glyphicon-arrow-right:before { + content: "\e092"} +.glyphicon-arrow-up:before { + content: "\e093"} +.glyphicon-arrow-down:before { + content: "\e094"} +.glyphicon-share-alt:before { + content: "\e095"} +.glyphicon-resize-full:before { + content: "\e096"} +.glyphicon-resize-small:before { + content: "\e097"} +.glyphicon-exclamation-sign:before { + content: "\e101"} +.glyphicon-gift:before { + content: "\e102"} +.glyphicon-leaf:before { + content: "\e103"} +.glyphicon-fire:before { + content: "\e104"} +.glyphicon-eye-open:before { + content: "\e105"} +.glyphicon-eye-close:before { + content: "\e106"} +.glyphicon-warning-sign:before { + content: "\e107"} +.glyphicon-plane:before { + content: "\e108"} +.glyphicon-calendar:before { + content: "\e109"} +.glyphicon-random:before { + content: "\e110"} +.glyphicon-comment:before { + content: "\e111"} +.glyphicon-magnet:before { + content: "\e112"} +.glyphicon-chevron-up:before { + content: "\e113"} +.glyphicon-chevron-down:before { + content: "\e114"} +.glyphicon-retweet:before { + content: "\e115"} +.glyphicon-shopping-cart:before { + content: "\e116"} +.glyphicon-folder-close:before { + content: "\e117"} +.glyphicon-folder-open:before { + content: "\e118"} +.glyphicon-resize-vertical:before { + content: "\e119"} +.glyphicon-resize-horizontal:before { + content: "\e120"} +.glyphicon-hdd:before { + content: "\e121"} +.glyphicon-bullhorn:before { + content: "\e122"} +.glyphicon-bell:before { + content: "\e123"} +.glyphicon-certificate:before { + content: "\e124"} +.glyphicon-thumbs-up:before { + content: "\e125"} +.glyphicon-thumbs-down:before { + content: "\e126"} +.glyphicon-hand-right:before { + content: "\e127"} +.glyphicon-hand-left:before { + content: "\e128"} +.glyphicon-hand-up:before { + content: "\e129"} +.glyphicon-hand-down:before { + content: "\e130"} +.glyphicon-circle-arrow-right:before { + content: "\e131"} +.glyphicon-circle-arrow-left:before { + content: "\e132"} +.glyphicon-circle-arrow-up:before { + content: "\e133"} +.glyphicon-circle-arrow-down:before { + content: "\e134"} +.glyphicon-globe:before { + content: "\e135"} +.glyphicon-wrench:before { + content: "\e136"} +.glyphicon-tasks:before { + content: "\e137"} +.glyphicon-filter:before { + content: "\e138"} +.glyphicon-briefcase:before { + content: "\e139"} +.glyphicon-fullscreen:before { + content: "\e140"} +.glyphicon-dashboard:before { + content: "\e141"} +.glyphicon-paperclip:before { + content: "\e142"} +.glyphicon-heart-empty:before { + content: "\e143"} +.glyphicon-link:before { + content: "\e144"} +.glyphicon-phone:before { + content: "\e145"} +.glyphicon-pushpin:before { + content: "\e146"} +.glyphicon-usd:before { + content: "\e148"} +.glyphicon-gbp:before { + content: "\e149"} +.glyphicon-sort:before { + content: "\e150"} +.glyphicon-sort-by-alphabet:before { + content: "\e151"} +.glyphicon-sort-by-alphabet-alt:before { + content: "\e152"} +.glyphicon-sort-by-order:before { + content: "\e153"} +.glyphicon-sort-by-order-alt:before { + content: "\e154"} +.glyphicon-sort-by-attributes:before { + content: "\e155"} +.glyphicon-sort-by-attributes-alt:before { + content: "\e156"} +.glyphicon-unchecked:before { + content: "\e157"} +.glyphicon-expand:before { + content: "\e158"} +.glyphicon-collapse-down:before { + content: "\e159"} +.glyphicon-collapse-up:before { + content: "\e160"} +.glyphicon-log-in:before { + content: "\e161"} +.glyphicon-flash:before { + content: "\e162"} +.glyphicon-log-out:before { + content: "\e163"} +.glyphicon-new-window:before { + content: "\e164"} +.glyphicon-record:before { + content: "\e165"} +.glyphicon-save:before { + content: "\e166"} +.glyphicon-open:before { + content: "\e167"} +.glyphicon-saved:before { + content: "\e168"} +.glyphicon-import:before { + content: "\e169"} +.glyphicon-export:before { + content: "\e170"} +.glyphicon-send:before { + content: "\e171"} +.glyphicon-floppy-disk:before { + content: "\e172"} +.glyphicon-floppy-saved:before { + content: "\e173"} +.glyphicon-floppy-remove:before { + content: "\e174"} +.glyphicon-floppy-save:before { + content: "\e175"} +.glyphicon-floppy-open:before { + content: "\e176"} +.glyphicon-credit-card:before { + content: "\e177"} +.glyphicon-transfer:before { + content: "\e178"} +.glyphicon-cutlery:before { + content: "\e179"} +.glyphicon-header:before { + content: "\e180"} +.glyphicon-compressed:before { + content: "\e181"} +.glyphicon-earphone:before { + content: "\e182"} +.glyphicon-phone-alt:before { + content: "\e183"} +.glyphicon-tower:before { + content: "\e184"} +.glyphicon-stats:before { + content: "\e185"} +.glyphicon-sd-video:before { + content: "\e186"} +.glyphicon-hd-video:before { + content: "\e187"} +.glyphicon-subtitles:before { + content: "\e188"} +.glyphicon-sound-stereo:before { + content: "\e189"} +.glyphicon-sound-dolby:before { + content: "\e190"} +.glyphicon-sound-5-1:before { + content: "\e191"} +.glyphicon-sound-6-1:before { + content: "\e192"} +.glyphicon-sound-7-1:before { + content: "\e193"} +.glyphicon-copyright-mark:before { + content: "\e194"} +.glyphicon-registration-mark:before { + content: "\e195"} +.glyphicon-cloud-download:before { + content: "\e197"} +.glyphicon-cloud-upload:before { + content: "\e198"} +.glyphicon-tree-conifer:before { + content: "\e199"} +.glyphicon-tree-deciduous:before { + content: "\e200"} +.caret { + display: inline-block; + width: 0; + height: 0; + margin-left: 2px; + vertical-align: middle; + border-top: 4px solid; + border-right: 4px solid transparent; + border-left: 4px solid transparent; +} +.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; + font-size: 15px; + list-style: none; + background-color: #fff; + border: 1px solid #ccc; + border: 1px solid rgba(0, 0, 0, 0.15); + border-radius: 0; + -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: 9.5px 0; + overflow: hidden; + background-color: rgba(0, 0, 0, 0.2); +} +.dropdown-menu>li>a { + display: block; + padding: 3px 20px; + clear: both; + font-weight: normal; + line-height: 1.428571429; + color: #555; + white-space: nowrap; +} +.dropdown-menu>li>a:hover, .dropdown-menu>li>a:focus { + color: #262626; + text-decoration: none; + background-color: #eee; +} +.dropdown-menu>.active>a, .dropdown-menu>.active>a:hover, .dropdown-menu>.active>a:focus { + color: #fff; + text-decoration: none; + background-color: #008cba; + outline: 0; +} +.dropdown-menu>.disabled>a, .dropdown-menu>.disabled>a:hover, .dropdown-menu>.disabled>a:focus { + color: #999; +} +.dropdown-menu>.disabled>a:hover, .dropdown-menu>.disabled>a:focus { + text-decoration: none; + cursor: not-allowed; + background-color: transparent; + background-image: none; + filter: progid:DXImageTransform.Microsoft.gradient(enabled=false); +} +.open>.dropdown-menu { + display: block; +} +.open>a { + outline: 0; +} +.dropdown-header { + display: block; + padding: 3px 20px; + font-size: 12px; + line-height: 1.428571429; + color: #999; +} +.dropdown-backdrop { + position: fixed; + top: 0; + right: 0; + bottom: 0; + left: 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 solid; + content: ""} +.dropup .dropdown-menu, .navbar-fixed-bottom .dropdown .dropdown-menu { + top: auto; + bottom: 100%; + margin-bottom: 1px; +} +@media(min-width:768px) { + .navbar-right .dropdown-menu { + right: 0; + left: 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:focus, .btn-group-vertical>.btn:focus { + outline: 0; +} +.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:before, .btn-toolbar:after { + display: table; + content: " "} +.btn-toolbar:after { + clear: both; +} +.btn-toolbar:before, .btn-toolbar:after { + display: table; + content: " "} +.btn-toolbar:after { + clear: both; +} +.btn-toolbar:before, .btn-toolbar:after { + display: table; + content: " "} +.btn-toolbar:after { + clear: both; +} +.btn-toolbar:before, .btn-toolbar:after { + display: table; + content: " "} +.btn-toolbar:after { + clear: both; +} +.btn-toolbar:before, .btn-toolbar:after { + display: table; + content: " "} +.btn-toolbar:after { + clear: both; +} +.btn-toolbar .btn-group { + float: left; +} +.btn-toolbar>.btn+.btn, .btn-toolbar>.btn-group+.btn, .btn-toolbar>.btn+.btn-group, .btn-toolbar>.btn-group+.btn-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-top-right-radius: 0; + border-bottom-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>.btn:last-child, .btn-group>.btn-group:first-child>.dropdown-toggle { + border-top-right-radius: 0; + border-bottom-right-radius: 0; +} +.btn-group>.btn-group:last-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-xs>.btn { + padding: 1px 5px; + font-size: 12px; + line-height: 1.5; + border-radius: 0; +} +.btn-group-sm>.btn { + padding: 5px 10px; + font-size: 12px; + line-height: 1.5; + border-radius: 0; +} +.btn-group-lg>.btn { + padding: 10px 16px; + font-size: 19px; + line-height: 1.33; + border-radius: 0; +} +.btn-group>.btn+.dropdown-toggle { + padding-right: 8px; + padding-left: 8px; +} +.btn-group>.btn-lg+.dropdown-toggle { + padding-right: 12px; + padding-left: 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:before, .btn-group-vertical>.btn-group:after { + display: table; + content: " "} +.btn-group-vertical>.btn-group:after { + clear: both; +} +.btn-group-vertical>.btn-group:before, .btn-group-vertical>.btn-group:after { + display: table; + content: " "} +.btn-group-vertical>.btn-group:after { + clear: both; +} +.btn-group-vertical>.btn-group:before, .btn-group-vertical>.btn-group:after { + display: table; + content: " "} +.btn-group-vertical>.btn-group:after { + clear: both; +} +.btn-group-vertical>.btn-group:before, .btn-group-vertical>.btn-group:after { + display: table; + content: " "} +.btn-group-vertical>.btn-group:after { + clear: both; +} +.btn-group-vertical>.btn-group:before, .btn-group-vertical>.btn-group:after { + display: table; + content: " "} +.btn-group-vertical>.btn-group:after { + clear: both; +} +.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: 0; + 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-bottom-left-radius: 0; + border-top-left-radius: 0; +} +.btn-group-vertical>.btn-group:not(:first-child):not(:last-child)>.btn { + border-radius: 0; +} +.btn-group-vertical>.btn-group:first-child>.btn:last-child, .btn-group-vertical>.btn-group:first-child>.dropdown-toggle { + border-bottom-right-radius: 0; + border-bottom-left-radius: 0; +} +.btn-group-vertical>.btn-group:last-child>.btn:first-child { + border-top-right-radius: 0; + border-top-left-radius: 0; +} +.btn-group-justified { + display: table; + width: 100%; + border-collapse: separate; + table-layout: fixed; +} +.btn-group-justified>.btn, .btn-group-justified>.btn-group { + display: table-cell; + float: none; + width: 1%} +.btn-group-justified>.btn-group .btn { + width: 100%} +[data-toggle="buttons"]>.btn>input[type="radio"], [data-toggle="buttons"]>.btn>input[type="checkbox"] { + display: none; +} +.input-group { + position: relative; + display: table; + border-collapse: separate; +} +.input-group[class*="col-"] { + float: none; + padding-right: 0; + padding-left: 0; +} +.input-group .form-control { + width: 100%; + margin-bottom: 0; +} +.input-group-lg>.form-control, .input-group-lg>.input-group-addon, .input-group-lg>.input-group-btn>.btn { + height: 48px; + padding: 10px 16px; + font-size: 19px; + line-height: 1.33; + border-radius: 0; +} +select.input-group-lg>.form-control, select.input-group-lg>.input-group-addon, select.input-group-lg>.input-group-btn>.btn { + height: 48px; + line-height: 48px; +} +textarea.input-group-lg>.form-control, textarea.input-group-lg>.input-group-addon, textarea.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: 0; +} +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 { + 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: 15px; + font-weight: normal; + line-height: 1; + color: #6f6f6f; + text-align: center; + background-color: #eee; + border: 1px solid #ccc; + border-radius: 0; +} +.input-group-addon.input-sm { + padding: 5px 10px; + font-size: 12px; + border-radius: 0; +} +.input-group-addon.input-lg { + padding: 10px 16px; + font-size: 19px; + border-radius: 0; +} +.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>.dropdown-toggle, .input-group-btn:last-child>.btn:not(:last-child):not(.dropdown-toggle) { + border-top-right-radius: 0; + border-bottom-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>.dropdown-toggle, .input-group-btn:first-child>.btn:not(:first-child) { + border-bottom-left-radius: 0; + border-top-left-radius: 0; +} +.input-group-addon:last-child { + border-left: 0; +} +.input-group-btn { + position: relative; + white-space: nowrap; +} +.input-group-btn:first-child>.btn { + margin-right: -1px; +} +.input-group-btn:last-child>.btn { + margin-left: -1px; +} +.input-group-btn>.btn { + position: relative; +} +.input-group-btn>.btn+.btn { + margin-left: -4px; +} +.input-group-btn>.btn:hover, .input-group-btn>.btn:active { + z-index: 2; +} +.nav { + font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif; + padding-left: 0; + margin-bottom: 0; + list-style: none; +} +.nav:before, .nav:after { + display: table; + content: " "} +.nav:after { + clear: both; +} +.nav:before, .nav:after { + display: table; + content: " "} +.nav:after { + clear: both; +} +.nav:before, .nav:after { + display: table; + content: " "} +.nav:after { + clear: both; +} +.nav:before, .nav:after { + display: table; + content: " "} +.nav:after { + clear: both; +} +.nav:before, .nav:after { + display: table; + content: " "} +.nav:after { + clear: both; +} +.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: #eee; +} +.nav>li.disabled>a { + color: #999; +} +.nav>li.disabled>a:hover, .nav>li.disabled>a:focus { + color: #999; + text-decoration: none; + cursor: not-allowed; + background-color: transparent; +} +.nav .open>a, .nav .open>a:hover, .nav .open>a:focus { + background-color: #eee; + border-color: #008cba; +} +.nav .nav-divider { + height: 1px; + margin: 9.5px 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: 1.428571429; + border: 1px solid transparent; + border-radius: 0; +} +.nav-tabs>li>a:hover { + border-color: #eee #eee #ddd; +} +.nav-tabs>li.active>a, .nav-tabs>li.active>a:hover, .nav-tabs>li.active>a:focus { + color: #6f6f6f; + cursor: default; + background-color: #fff; + border: 1px solid #ddd; + border-bottom-color: transparent; +} +.nav-tabs.nav-justified { + width: 100%; + border-bottom: 0; +} +.nav-tabs.nav-justified>li { + float: none; +} +.nav-tabs.nav-justified>li>a { + margin-bottom: 5px; + text-align: center; +} +.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: 0; +} +.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: 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: 0; +} +.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: #008cba; +} +.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 { + margin-bottom: 5px; + text-align: center; +} +.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: 0; +} +.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: 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: 45px; + margin-bottom: 21px; + border: 1px solid transparent; +} +.navbar:before, .navbar:after { + display: table; + content: " "} +.navbar:after { + clear: both; +} +.navbar:before, .navbar:after { + display: table; + content: " "} +.navbar:after { + clear: both; +} +.navbar:before, .navbar:after { + display: table; + content: " "} +.navbar:after { + clear: both; +} +.navbar:before, .navbar:after { + display: table; + content: " "} +.navbar:after { + clear: both; +} +.navbar:before, .navbar:after { + display: table; + content: " "} +.navbar:after { + clear: both; +} +@media(min-width:768px) { + .navbar { + border-radius: 0; +} +}.navbar-header:before, .navbar-header:after { + display: table; + content: " "} +.navbar-header:after { + clear: both; +} +.navbar-header:before, .navbar-header:after { + display: table; + content: " "} +.navbar-header:after { + clear: both; +} +.navbar-header:before, .navbar-header:after { + display: table; + content: " "} +.navbar-header:after { + clear: both; +} +.navbar-header:before, .navbar-header:after { + display: table; + content: " "} +.navbar-header:after { + clear: both; +} +.navbar-header:before, .navbar-header:after { + display: table; + content: " "} +.navbar-header:after { + clear: both; +} +@media(min-width:768px) { + .navbar-header { + float: left; +} +}.navbar-collapse { + max-height: 340px; + padding-right: 15px; + padding-left: 15px; + overflow-x: visible; + border-top: 1px solid transparent; + box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1); + -webkit-overflow-scrolling: touch; +} +.navbar-collapse:before, .navbar-collapse:after { + display: table; + content: " "} +.navbar-collapse:after { + clear: both; +} +.navbar-collapse:before, .navbar-collapse:after { + display: table; + content: " "} +.navbar-collapse:after { + clear: both; +} +.navbar-collapse:before, .navbar-collapse:after { + display: table; + content: " "} +.navbar-collapse:after { + clear: both; +} +.navbar-collapse:before, .navbar-collapse:after { + display: table; + content: " "} +.navbar-collapse:after { + clear: both; +} +.navbar-collapse:before, .navbar-collapse:after { + display: table; + content: " "} +.navbar-collapse:after { + clear: both; +} +.navbar-collapse.in { + overflow-y: auto; +} +@media(min-width:768px) { + .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-right: 0; + padding-left: 0; +} +}.container>.navbar-header, .container>.navbar-collapse { + margin-right: -15px; + margin-left: -15px; +} +@media(min-width:768px) { + .container>.navbar-header, .container>.navbar-collapse { + margin-right: 0; + margin-left: 0; +} +}.navbar-static-top { + z-index: 1000; + border-width: 0 0 1px; +} +@media(min-width:768px) { + .navbar-static-top { + border-radius: 0; +} +}.navbar-fixed-top, .navbar-fixed-bottom { + position: fixed; + right: 0; + left: 0; + z-index: 1030; +} +@media(min-width:768px) { + .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 { + font-family: "Open Sans", "Helvetica Neue", Helvetica, Arial, sans-serif; + float: left; + padding: 12px 15px; + font-size: 19px; + line-height: 21px; +} +.navbar-brand:hover, .navbar-brand:focus { + text-decoration: none; +} +@media(min-width:768px) { + .navbar>.container .navbar-brand { + margin-left: -15px; +} +}.navbar-toggle { + position: relative; + float: right; + padding: 9px 10px; + margin-top: 5.5px; + margin-right: 15px; + margin-bottom: 5.5px; + background-color: transparent; + background-image: none; + border: 1px solid transparent; + border-radius: 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:768px) { + .navbar-toggle { + display: none; +} +}.navbar-nav { + margin: 6px -15px; +} +.navbar-nav>li>a { + padding-top: 10px; + padding-bottom: 10px; + line-height: 21px; +} +@media(max-width:767px) { + .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: 21px; +} +.navbar-nav .open .dropdown-menu>li>a:hover, .navbar-nav .open .dropdown-menu>li>a:focus { + background-image: none; +} +}@media(min-width:768px) { + .navbar-nav { + float: left; + margin: 0; +} +.navbar-nav>li { + float: left; +} +.navbar-nav>li>a { + padding-top: 12px; + padding-bottom: 12px; +} +.navbar-nav.navbar-right:last-child { + margin-right: -15px; +} +}@media(min-width:768px) { + .navbar-left { + float: left!important; +} +.navbar-right { + float: right!important; +} +}.navbar-form { + padding: 10px 15px; + margin-top: 5px; + margin-right: -15px; + margin-bottom: 5px; + margin-left: -15px; + 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); +} +@media(min-width:768px) { + .navbar-form .form-group { + display: inline-block; + margin-bottom: 0; + vertical-align: middle; +} +.navbar-form .form-control { + display: inline-block; +} +.navbar-form select.form-control { + width: auto; +} +.navbar-form .radio, .navbar-form .checkbox { + display: inline-block; + padding-left: 0; + margin-top: 0; + margin-bottom: 0; +} +.navbar-form .radio input[type="radio"], .navbar-form .checkbox input[type="checkbox"] { + float: none; + margin-left: 0; +} +}@media(max-width:767px) { + .navbar-form .form-group { + margin-bottom: 5px; +} +}@media(min-width:768px) { + .navbar-form { + width: auto; + padding-top: 0; + padding-bottom: 0; + margin-right: 0; + margin-left: 0; + border: 0; + -webkit-box-shadow: none; + box-shadow: none; +} +.navbar-form.navbar-right:last-child { + margin-right: -15px; +} +}.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 { + border-bottom-right-radius: 0; + border-bottom-left-radius: 0; +} +.navbar-nav.pull-right>li>.dropdown-menu, .navbar-nav>li>.dropdown-menu.pull-right { + right: 0; + left: auto; +} +.navbar-btn { + margin-top: 5px; + margin-bottom: 5px; +} +.navbar-btn.btn-sm { + margin-top: 7.5px; + margin-bottom: 7.5px; +} +.navbar-btn.btn-xs { + margin-top: 11.5px; + margin-bottom: 11.5px; +} +.navbar-text { + margin-top: 12px; + margin-bottom: 12px; +} +@media(min-width:768px) { + .navbar-text { + float: left; + margin-right: 15px; + margin-left: 15px; +} +.navbar-text.navbar-right:last-child { + margin-right: 0; +} +}.navbar-default { + background-color: #333; + border-color: #222; +} +.navbar-default .navbar-brand { + color: #fff; +} +.navbar-default .navbar-brand:hover, .navbar-default .navbar-brand:focus { + color: #fff; + background-color: transparent; +} +.navbar-default .navbar-text { + color: #fff; +} +.navbar-default .navbar-nav>li>a { + color: #fff; +} +.navbar-default .navbar-nav>li>a:hover, .navbar-default .navbar-nav>li>a:focus { + color: #fff; + background-color: #272727; +} +.navbar-default .navbar-nav>.active>a, .navbar-default .navbar-nav>.active>a:hover, .navbar-default .navbar-nav>.active>a:focus { + color: #fff; + background-color: #272727; +} +.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: transparent; +} +.navbar-default .navbar-toggle:hover, .navbar-default .navbar-toggle:focus { + background-color: transparent; +} +.navbar-default .navbar-toggle .icon-bar { + background-color: #fff; +} +.navbar-default .navbar-collapse, .navbar-default .navbar-form { + border-color: #222; +} +.navbar-default .navbar-nav>.open>a, .navbar-default .navbar-nav>.open>a:hover, .navbar-default .navbar-nav>.open>a:focus { + color: #fff; + background-color: #272727; +} +@media(max-width:767px) { + .navbar-default .navbar-nav .open .dropdown-menu>li>a { + color: #fff; +} +.navbar-default .navbar-nav .open .dropdown-menu>li>a:hover, .navbar-default .navbar-nav .open .dropdown-menu>li>a:focus { + color: #fff; + background-color: #272727; +} +.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: #fff; + background-color: #272727; +} +.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: #fff; +} +.navbar-default .navbar-link:hover { + color: #fff; +} +.navbar-inverse { + background-color: #008cba; + border-color: #006687; +} +.navbar-inverse .navbar-brand { + color: #fff; +} +.navbar-inverse .navbar-brand:hover, .navbar-inverse .navbar-brand:focus { + color: #fff; + background-color: transparent; +} +.navbar-inverse .navbar-text { + color: #fff; +} +.navbar-inverse .navbar-nav>li>a { + color: #fff; +} +.navbar-inverse .navbar-nav>li>a:hover, .navbar-inverse .navbar-nav>li>a:focus { + color: #fff; + background-color: #006687; +} +.navbar-inverse .navbar-nav>.active>a, .navbar-inverse .navbar-nav>.active>a:hover, .navbar-inverse .navbar-nav>.active>a:focus { + color: #fff; + background-color: #006687; +} +.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: transparent; +} +.navbar-inverse .navbar-toggle:hover, .navbar-inverse .navbar-toggle:focus { + background-color: transparent; +} +.navbar-inverse .navbar-toggle .icon-bar { + background-color: #fff; +} +.navbar-inverse .navbar-collapse, .navbar-inverse .navbar-form { + border-color: #007196; +} +.navbar-inverse .navbar-nav>.open>a, .navbar-inverse .navbar-nav>.open>a:hover, .navbar-inverse .navbar-nav>.open>a:focus { + color: #fff; + background-color: #006687; +} +@media(max-width:767px) { + .navbar-inverse .navbar-nav .open .dropdown-menu>.dropdown-header { + border-color: #006687; +} +.navbar-inverse .navbar-nav .open .dropdown-menu .divider { + background-color: #006687; +} +.navbar-inverse .navbar-nav .open .dropdown-menu>li>a { + color: #fff; +} +.navbar-inverse .navbar-nav .open .dropdown-menu>li>a:hover, .navbar-inverse .navbar-nav .open .dropdown-menu>li>a:focus { + color: #fff; + background-color: #006687; +} +.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: #006687; +} +.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: #fff; +} +.navbar-inverse .navbar-link:hover { + color: #fff; +} +.breadcrumb { + padding: 8px 15px; + margin-bottom: 21px; + list-style: none; + background-color: #f5f5f5; + border-radius: 0; +} +.breadcrumb>li { + display: inline-block; +} +.breadcrumb>li+li:before { + padding: 0 5px; + color: #999; + content: "/\00a0"} +.breadcrumb>.active { + color: #333; +} +.pagination { + display: inline-block; + padding-left: 0; + margin: 21px 0; + border-radius: 0; +} +.pagination>li { + display: inline; +} +.pagination>li>a, .pagination>li>span { + position: relative; + float: left; + padding: 6px 12px; + margin-left: -1px; + line-height: 1.428571429; + text-decoration: none; + background-color: transparent; + border: 1px solid transparent; +} +.pagination>li:first-child>a, .pagination>li:first-child>span { + margin-left: 0; + border-bottom-left-radius: 0; + border-top-left-radius: 0; +} +.pagination>li:last-child>a, .pagination>li:last-child>span { + border-top-right-radius: 0; + border-bottom-right-radius: 0; +} +.pagination>li>a:hover, .pagination>li>span:hover, .pagination>li>a:focus, .pagination>li>span:focus { + background-color: #eee; +} +.pagination>.active>a, .pagination>.active>span, .pagination>.active>a:hover, .pagination>.active>span:hover, .pagination>.active>a:focus, .pagination>.active>span:focus { + z-index: 2; + color: #fff; + cursor: default; + background-color: #008cba; + border-color: #008cba; +} +.pagination>.disabled>span, .pagination>.disabled>span:hover, .pagination>.disabled>span:focus, .pagination>.disabled>a, .pagination>.disabled>a:hover, .pagination>.disabled>a:focus { + color: #999; + cursor: not-allowed; + background-color: transparent; + border-color: transparent; +} +.pagination-lg>li>a, .pagination-lg>li>span { + padding: 10px 16px; + font-size: 19px; +} +.pagination-lg>li:first-child>a, .pagination-lg>li:first-child>span { + border-bottom-left-radius: 0; + border-top-left-radius: 0; +} +.pagination-lg>li:last-child>a, .pagination-lg>li:last-child>span { + border-top-right-radius: 0; + border-bottom-right-radius: 0; +} +.pagination-sm>li>a, .pagination-sm>li>span { + padding: 5px 10px; + font-size: 12px; +} +.pagination-sm>li:first-child>a, .pagination-sm>li:first-child>span { + border-bottom-left-radius: 0; + border-top-left-radius: 0; +} +.pagination-sm>li:last-child>a, .pagination-sm>li:last-child>span { + border-top-right-radius: 0; + border-bottom-right-radius: 0; +} +.pager { + padding-left: 0; + margin: 21px 0; + text-align: center; + list-style: none; +} +.pager:before, .pager:after { + display: table; + content: " "} +.pager:after { + clear: both; +} +.pager:before, .pager:after { + display: table; + content: " "} +.pager:after { + clear: both; +} +.pager:before, .pager:after { + display: table; + content: " "} +.pager:after { + clear: both; +} +.pager:before, .pager:after { + display: table; + content: " "} +.pager:after { + clear: both; +} +.pager:before, .pager:after { + display: table; + content: " "} +.pager:after { + clear: both; +} +.pager li { + display: inline; +} +.pager li>a, .pager li>span { + display: inline-block; + padding: 5px 14px; + background-color: transparent; + border: 1px solid transparent; + border-radius: 3px; +} +.pager li>a:hover, .pager li>a:focus { + text-decoration: none; + background-color: #eee; +} +.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: #999; + cursor: not-allowed; + background-color: transparent; +} +.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; +} +.label[href]:hover, .label[href]:focus { + color: #fff; + text-decoration: none; + cursor: pointer; +} +.label:empty { + display: none; +} +.btn .label { + position: relative; + top: -1px; +} +.label-default { + background-color: #999; +} +.label-default[href]:hover, .label-default[href]:focus { + background-color: #808080; +} +.label-primary { + background-color: #008cba; +} +.label-primary[href]:hover, .label-primary[href]:focus { + background-color: #006687; +} +.label-success { + background-color: #43ac6a; +} +.label-success[href]:hover, .label-success[href]:focus { + background-color: #358753; +} +.label-info { + background-color: #5bc0de; +} +.label-info[href]:hover, .label-info[href]:focus { + background-color: #31b0d5; +} +.label-warning { + background-color: #e99002; +} +.label-warning[href]:hover, .label-warning[href]:focus { + background-color: #b67102; +} +.label-danger { + background-color: #f04124; +} +.label-danger[href]:hover, .label-danger[href]:focus { + background-color: #d32a0e; +} +.badge { + display: inline-block; + min-width: 10px; + padding: 3px 7px; + font-size: 12px; + font-weight: bold; + line-height: 1; + color: #777; + text-align: center; + white-space: nowrap; + vertical-align: baseline; + background-color: #e7e7e7; + border-radius: 10px; +} +.badge:empty { + display: none; +} +.btn .badge { + position: relative; + top: -1px; +} +a.badge:hover, a.badge:focus { + color: #fff; + text-decoration: none; + cursor: pointer; +} +a.list-group-item.active>.badge, .nav-pills>.active>a>.badge { + color: #008cba; + background-color: #fff; +} +.nav-pills>li>a>.badge { + margin-left: 3px; +} +.jumbotron { + padding: 30px; + margin-bottom: 30px; + font-size: 23px; + font-weight: 200; + line-height: 2.1428571435; + color: inherit; + background-color: #fafafa; +} +.jumbotron h1, .jumbotron .h1 { + line-height: 1; + color: inherit; +} +.jumbotron p { + line-height: 1.4; +} +.container .jumbotron { + border-radius: 0; +} +.jumbotron .container { + max-width: 100%} +@media screen and (min-width:768px) { + .jumbotron { + padding-top: 48px; + padding-bottom: 48px; +} +.container .jumbotron { + padding-right: 60px; + padding-left: 60px; +} +.jumbotron h1, .jumbotron .h1 { + font-size: 67.5px; +} +}.thumbnail { + display: block; + padding: 4px; + margin-bottom: 21px; + line-height: 1.428571429; + background-color: #fff; + border: 1px solid #ddd; + border-radius: 0; + -webkit-transition: all .2s ease-in-out; + transition: all .2s ease-in-out; +} +.thumbnail>img, .thumbnail a>img { + display: block; + height: auto; + max-width: 100%; + margin-right: auto; + margin-left: auto; +} +a.thumbnail:hover, a.thumbnail:focus, a.thumbnail.active { + border-color: #008cba; +} +.thumbnail .caption { + padding: 9px; + color: #222; +} +.alert { + position: relative; + padding: 0.75rem 1.25rem; + margin-bottom: 1rem; + border: 1px solid transparent; + border-radius: 0.25rem; + } + + .alert-heading { + color: inherit; + } + + .alert-link { + font-weight: 700; + } + + .alert-dismissible { + padding-right: 4rem; + } + + .alert-dismissible .close { + position: absolute; + top: 0; + right: 0; + padding: 0.75rem 1.25rem; + color: inherit; + } + + .alert-primary { + color: #004085; + background-color: #cce5ff; + border-color: #b8daff; + } + + .alert-primary hr { + border-top-color: #9fcdff; + } + + .alert-primary .alert-link { + color: #002752; + } + + .alert-secondary { + color: #383d41; + background-color: #e2e3e5; + border-color: #d6d8db; + } + + .alert-secondary hr { + border-top-color: #c8cbcf; + } + + .alert-secondary .alert-link { + color: #202326; + } + + .alert-success { + color: #155724; + background-color: #d4edda; + border-color: #c3e6cb; + } + + .alert-success hr { + border-top-color: #b1dfbb; + } + + .alert-success .alert-link { + color: #0b2e13; + } + + .alert-info { + color: #0c5460; + background-color: #d1ecf1; + border-color: #bee5eb; + } + + .alert-info hr { + border-top-color: #abdde5; + } + + .alert-info .alert-link { + color: #062c33; + } + + .alert-warning { + color: #856404; + background-color: #fff3cd; + border-color: #ffeeba; + } + + .alert-warning hr { + border-top-color: #ffe8a1; + } + + .alert-warning .alert-link { + color: #533f03; + } + + .alert-danger { + color: #721c24; + background-color: #f8d7da; + border-color: #f5c6cb; + } + + .alert-danger hr { + border-top-color: #f1b0b7; + } + + .alert-danger .alert-link { + color: #491217; + } + + .alert-light { + color: #818182; + background-color: #fefefe; + border-color: #fdfdfe; + } + + .alert-light hr { + border-top-color: #ececf6; + } + + .alert-light .alert-link { + color: #686868; + } + + .alert-dark { + color: #1b1e21; + background-color: #d6d8d9; + border-color: #c6c8ca; + } + + .alert-dark hr { + border-top-color: #b9bbbe; + } + + .alert-dark .alert-link { + color: #040505; + } + + +@-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 { + height: 21px; + margin-bottom: 21px; + overflow: hidden; + background-color: #f5f5f5; + border-radius: 0; + -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: 21px; + color: #fff; + text-align: center; + background-color: #008cba; + -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 .6s ease; + transition: width .6s ease; +} +.progress-striped .progress-bar { + 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: 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 { + -webkit-animation: progress-bar-stripes 2s linear infinite; + animation: progress-bar-stripes 2s linear infinite; +} +.progress-bar-success { + background-color: #43ac6a; +} +.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: 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: 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: #e99002; +} +.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: 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: #f04124; +} +.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: 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, .media-body { + overflow: hidden; + zoom: 1; +} +.media, .media .media { + margin-top: 15px; +} +.media:first-child { + margin-top: 0; +} +.media-object { + display: block; +} +.media-heading { + margin: 0 0 5px; +} +.media>.pull-left { + margin-right: 10px; +} +.media>.pull-right { + margin-left: 10px; +} +.media-list { + padding-left: 0; + list-style: none; +} +.list-group { + padding-left: 0; + margin-bottom: 20px; +} +.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: 0; + border-top-left-radius: 0; +} +.list-group-item:last-child { + margin-bottom: 0; + border-bottom-right-radius: 0; + border-bottom-left-radius: 0; +} +.list-group-item>.badge { + float: right; +} +.list-group-item>.badge+.badge { + margin-right: 5px; +} +a.list-group-item { + color: #555; +} +a.list-group-item .list-group-item-heading { + color: #333; +} +a.list-group-item:hover, a.list-group-item:focus { + text-decoration: none; + background-color: #f5f5f5; +} +a.list-group-item.active, a.list-group-item.active:hover, a.list-group-item.active:focus { + z-index: 2; + color: #fff; + background-color: #008cba; + border-color: #008cba; +} +a.list-group-item.active .list-group-item-heading, a.list-group-item.active:hover .list-group-item-heading, a.list-group-item.active:focus .list-group-item-heading { + color: inherit; +} +a.list-group-item.active .list-group-item-text, a.list-group-item.active:hover .list-group-item-text, a.list-group-item.active:focus .list-group-item-text { + color: #87e1ff; +} +.list-group-item-heading { + margin-top: 0; + margin-bottom: 5px; +} +.list-group-item-text { + margin-bottom: 0; + line-height: 1.3; +} +.panel { + margin-bottom: 21px; + background-color: #fff; + border: 1px solid transparent; + border-radius: 0; + -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-body:before, .panel-body:after { + display: table; + content: " "} +.panel-body:after { + clear: both; +} +.panel-body:before, .panel-body:after { + display: table; + content: " "} +.panel-body:after { + clear: both; +} +.panel-body:before, .panel-body:after { + display: table; + content: " "} +.panel-body:after { + clear: both; +} +.panel-body:before, .panel-body:after { + display: table; + content: " "} +.panel-body:after { + clear: both; +} +.panel-body:before, .panel-body:after { + display: table; + content: " "} +.panel-body:after { + clear: both; +} +.panel>.list-group { + margin-bottom: 0; +} +.panel>.list-group .list-group-item { + border-width: 1px 0; +} +.panel>.list-group .list-group-item:first-child { + border-top-right-radius: 0; + border-top-left-radius: 0; +} +.panel>.list-group .list-group-item:last-child { + border-bottom: 0; +} +.panel-heading+.list-group .list-group-item:first-child { + border-top-width: 0; +} +.panel>.table, .panel>.table-responsive>.table { + margin-bottom: 0; +} +.panel>.panel-body+.table, .panel>.panel-body+.table-responsive { + border-top: 1px solid #ddd; +} +.panel>.table>tbody:first-child th, .panel>.table>tbody: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:last-child>th, .panel>.table-responsive>.table-bordered>thead>tr:last-child>th, .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, .panel>.table-bordered>thead>tr:last-child>td, .panel>.table-responsive>.table-bordered>thead>tr:last-child>td, .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 { + border-bottom: 0; +} +.panel>.table-responsive { + margin-bottom: 0; + border: 0; +} +.panel-heading { + padding: 10px 15px; + border-bottom: 1px solid transparent; + border-top-right-radius: -1; + border-top-left-radius: -1; +} +.panel-heading>.dropdown .dropdown-toggle { + color: inherit; +} +.panel-title { + margin-top: 0; + margin-bottom: 0; + font-size: 17px; + color: inherit; +} +.panel-title>a { + color: inherit; +} +.panel-footer { + padding: 10px 15px; + background-color: #f5f5f5; + border-top: 1px solid #ddd; + border-bottom-right-radius: -1; + border-bottom-left-radius: -1; +} +.panel-group .panel { + margin-bottom: 0; + overflow: hidden; + border-radius: 0; +} +.panel-group .panel+.panel { + margin-top: 5px; +} +.panel-group .panel-heading { + border-bottom: 0; +} +.panel-group .panel-heading+.panel-collapse .panel-body { + 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: #333; + background-color: #f5f5f5; + border-color: #ddd; +} +.panel-default>.panel-heading+.panel-collapse .panel-body { + border-top-color: #ddd; +} +.panel-default>.panel-footer+.panel-collapse .panel-body { + border-bottom-color: #ddd; +} +.panel-primary { + border-color: #008cba; +} +.panel-primary>.panel-heading { + color: #fff; + background-color: #008cba; + border-color: #008cba; +} +.panel-primary>.panel-heading+.panel-collapse .panel-body { + border-top-color: #008cba; +} +.panel-primary>.panel-footer+.panel-collapse .panel-body { + border-bottom-color: #008cba; +} +.panel-success { + border-color: #3c9a5f; +} +.panel-success>.panel-heading { + color: #43ac6a; + background-color: #dff0d8; + border-color: #3c9a5f; +} +.panel-success>.panel-heading+.panel-collapse .panel-body { + border-top-color: #3c9a5f; +} +.panel-success>.panel-footer+.panel-collapse .panel-body { + border-bottom-color: #3c9a5f; +} +.panel-warning { + border-color: #d08002; +} +.panel-warning>.panel-heading { + color: #e99002; + background-color: #fcf8e3; + border-color: #d08002; +} +.panel-warning>.panel-heading+.panel-collapse .panel-body { + border-top-color: #d08002; +} +.panel-warning>.panel-footer+.panel-collapse .panel-body { + border-bottom-color: #d08002; +} +.panel-danger { + border-color: #ea2f10; +} +.panel-danger>.panel-heading { + color: #f04124; + background-color: #f2dede; + border-color: #ea2f10; +} +.panel-danger>.panel-heading+.panel-collapse .panel-body { + border-top-color: #ea2f10; +} +.panel-danger>.panel-footer+.panel-collapse .panel-body { + border-bottom-color: #ea2f10; +} +.panel-info { + border-color: #3db5d8; +} +.panel-info>.panel-heading { + color: #5bc0de; + background-color: #d9edf7; + border-color: #3db5d8; +} +.panel-info>.panel-heading+.panel-collapse .panel-body { + border-top-color: #3db5d8; +} +.panel-info>.panel-footer+.panel-collapse .panel-body { + border-bottom-color: #3db5d8; +} +.well { + min-height: 20px; + padding: 19px; + margin-bottom: 20px; + background-color: #fafafa; + border: 1px solid #e8e8e8; + border-radius: 0; + -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: 0; +} +.well-sm { + padding: 9px; + border-radius: 0; +} +.close { + float: right; + font-size: 22.5px; + font-weight: bold; + line-height: 1; + color: #000; + text-shadow: 0 1px 0 #fff; + opacity: .2; + filter: alpha(opacity=20); +} +.close:hover, .close:focus { + color: #000; + text-decoration: none; + cursor: pointer; + opacity: .5; + filter: alpha(opacity=50); +} +button.close { + padding: 0; + cursor: pointer; + background: transparent; + border: 0; + -webkit-appearance: none; +} +.modal-open { + overflow: hidden; +} +.modal { + position: fixed; + top: 0; + right: 0; + bottom: 0; + left: 0; + z-index: 1040; + display: none; + overflow: auto; + overflow-y: scroll; +} +.modal.fade .modal-dialog { + -webkit-transform: translate(0, -25%); + -ms-transform: translate(0, -25%); + transform: translate(0, -25%); + -webkit-transition: -webkit-transform .3s ease-out; + -moz-transition: -moz-transform .3s ease-out; + -o-transition: -o-transform .3s ease-out; + transition: transform .3s ease-out; +} +.modal.in .modal-dialog { + -webkit-transform: translate(0, 0); + -ms-transform: translate(0, 0); + transform: translate(0, 0); +} +.modal-dialog { + position: relative; + z-index: 1050; + 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: 0; + outline: 0; + -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; +} +.modal-backdrop { + position: fixed; + top: 0; + right: 0; + bottom: 0; + left: 0; + z-index: 1030; + background-color: #000; +} +.modal-backdrop.fade { + opacity: 0; + filter: alpha(opacity=0); +} +.modal-backdrop.in { + opacity: .5; + filter: alpha(opacity=50); +} +.modal-header { + min-height: 16.428571429px; + padding: 15px; + border-bottom: 1px solid #e5e5e5; +} +.modal-header .close { + margin-top: -2px; +} +.modal-title { + margin: 0; + line-height: 1.428571429; +} +.modal-body { + position: relative; + padding: 20px; +} +.modal-footer { + padding: 19px 20px 20px; + margin-top: 15px; + text-align: right; + border-top: 1px solid #e5e5e5; +} +.modal-footer:before, .modal-footer:after { + display: table; + content: " "} +.modal-footer:after { + clear: both; +} +.modal-footer:before, .modal-footer:after { + display: table; + content: " "} +.modal-footer:after { + clear: both; +} +.modal-footer:before, .modal-footer:after { + display: table; + content: " "} +.modal-footer:after { + clear: both; +} +.modal-footer:before, .modal-footer:after { + display: table; + content: " "} +.modal-footer:after { + clear: both; +} +.modal-footer:before, .modal-footer:after { + display: table; + content: " "} +.modal-footer:after { + clear: both; +} +.modal-footer .btn+.btn { + margin-bottom: 0; + margin-left: 5px; +} +.modal-footer .btn-group .btn+.btn { + margin-left: -1px; +} +.modal-footer .btn-block+.btn-block { + margin-left: 0; +} +@media screen and (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); +} +}.tooltip { + position: absolute; + z-index: 1030; + display: block; + font-size: 12px; + line-height: 1.4; + opacity: 0; + filter: alpha(opacity=0); + visibility: visible; +} +.tooltip.in { + opacity: .9; + filter: alpha(opacity=90); +} +.tooltip.top { + padding: 5px 0; + margin-top: -3px; +} +.tooltip.right { + padding: 0 5px; + margin-left: 3px; +} +.tooltip.bottom { + padding: 5px 0; + margin-top: 3px; +} +.tooltip.left { + padding: 0 5px; + margin-left: -3px; +} +.tooltip-inner { + max-width: 200px; + padding: 3px 8px; + color: #fff; + text-align: center; + text-decoration: none; + background-color: #333; + border-radius: 0; +} +.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-top-color: #333; + border-width: 5px 5px 0; +} +.tooltip.top-left .tooltip-arrow { + bottom: 0; + left: 5px; + border-top-color: #333; + border-width: 5px 5px 0; +} +.tooltip.top-right .tooltip-arrow { + right: 5px; + bottom: 0; + border-top-color: #333; + border-width: 5px 5px 0; +} +.tooltip.right .tooltip-arrow { + top: 50%; + left: 0; + margin-top: -5px; + border-right-color: #333; + border-width: 5px 5px 5px 0; +} +.tooltip.left .tooltip-arrow { + top: 50%; + right: 0; + margin-top: -5px; + border-left-color: #333; + border-width: 5px 0 5px 5px; +} +.tooltip.bottom .tooltip-arrow { + top: 0; + left: 50%; + margin-left: -5px; + border-bottom-color: #333; + border-width: 0 5px 5px; +} +.tooltip.bottom-left .tooltip-arrow { + top: 0; + left: 5px; + border-bottom-color: #333; + border-width: 0 5px 5px; +} +.tooltip.bottom-right .tooltip-arrow { + top: 0; + right: 5px; + border-bottom-color: #333; + border-width: 0 5px 5px; +} +.popover { + position: absolute; + top: 0; + left: 0; + z-index: 1010; + display: none; + max-width: 276px; + padding: 1px; + text-align: left; + white-space: normal; + background-color: #333; + border: 1px solid #333; + border: 1px solid transparent; + border-radius: 0; + -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2); + background-clip: padding-box; +} +.popover.top { + margin-top: -10px; +} +.popover.right { + margin-left: 10px; +} +.popover.bottom { + margin-top: 10px; +} +.popover.left { + margin-left: -10px; +} +.popover-title { + padding: 8px 14px; + margin: 0; + font-size: 15px; + font-weight: normal; + line-height: 18px; + background-color: #333; + border-bottom: 1px solid #262626; + border-radius: 5px 5px 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 { + bottom: -11px; + left: 50%; + margin-left: -11px; + border-top-color: #999; + border-top-color: rgba(0, 0, 0, 0.25); + border-bottom-width: 0; +} +.popover.top .arrow:after { + bottom: 1px; + margin-left: -10px; + border-top-color: #333; + border-bottom-width: 0; + content: " "} +.popover.right .arrow { + top: 50%; + left: -11px; + margin-top: -11px; + border-right-color: #999; + border-right-color: rgba(0, 0, 0, 0.25); + border-left-width: 0; +} +.popover.right .arrow:after { + bottom: -10px; + left: 1px; + border-right-color: #333; + border-left-width: 0; + content: " "} +.popover.bottom .arrow { + top: -11px; + left: 50%; + margin-left: -11px; + border-bottom-color: #999; + border-bottom-color: rgba(0, 0, 0, 0.25); + border-top-width: 0; +} +.popover.bottom .arrow:after { + top: 1px; + margin-left: -10px; + border-bottom-color: #333; + border-top-width: 0; + content: " "} +.popover.left .arrow { + top: 50%; + right: -11px; + margin-top: -11px; + border-left-color: #999; + border-left-color: rgba(0, 0, 0, 0.25); + border-right-width: 0; +} +.popover.left .arrow:after { + right: 1px; + bottom: -10px; + border-left-color: #333; + border-right-width: 0; + content: " "} +.carousel { + position: relative; +} +.carousel-inner { + position: relative; + width: 100%; + overflow: hidden; +} +.carousel-inner>.item { + position: relative; + display: none; + -webkit-transition: .6s ease-in-out left; + transition: .6s ease-in-out left; +} +.carousel-inner>.item>img, .carousel-inner>.item>a>img { + display: block; + height: auto; + max-width: 100%; + line-height: 1; +} +.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; + bottom: 0; + left: 0; + width: 15%; + font-size: 20px; + color: #fff; + text-align: center; + text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6); + opacity: .5; + filter: alpha(opacity=50); +} +.carousel-control.left { + background-image: -webkit-linear-gradient(left, color-stop(rgba(0, 0, 0, 0.5) 0), color-stop(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 { + right: 0; + left: auto; + background-image: -webkit-linear-gradient(left, color-stop(rgba(0, 0, 0, 0.0001) 0), color-stop(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 { + color: #fff; + text-decoration: none; + outline: 0; + opacity: .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%; + z-index: 5; + display: inline-block; +} +.carousel-control .icon-prev, .carousel-control .glyphicon-chevron-left { + left: 50%} +.carousel-control .icon-next, .carousel-control .glyphicon-chevron-right { + right: 50%} +.carousel-control .icon-prev, .carousel-control .icon-next { + width: 20px; + height: 20px; + margin-top: -10px; + margin-left: -10px; + 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%; + padding-left: 0; + margin-left: -30%; + text-align: center; + list-style: none; +} +.carousel-indicators li { + display: inline-block; + width: 10px; + height: 10px; + margin: 1px; + text-indent: -999px; + cursor: pointer; + background-color: #000 \9; + background-color: rgba(0, 0, 0, 0); + border: 1px solid #fff; + border-radius: 10px; +} +.carousel-indicators .active { + width: 12px; + height: 12px; + margin: 0; + background-color: #fff; +} +.carousel-caption { + position: absolute; + right: 15%; + bottom: 20px; + left: 15%; + 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 .glyphicons-chevron-left, .carousel-control .glyphicons-chevron-right, .carousel-control .icon-prev, .carousel-control .icon-next { + width: 30px; + height: 30px; + margin-top: -15px; + margin-left: -15px; + font-size: 30px; +} +.carousel-caption { + right: 20%; + left: 20%; + padding-bottom: 30px; +} +.carousel-indicators { + bottom: 20px; +} +}.clearfix:before, .clearfix:after { + display: table; + content: " "} +.clearfix:after { + clear: both; +} +.clearfix:before, .clearfix:after { + display: table; + content: " "} +.clearfix:after { + clear: both; +} +.center-block { + display: block; + margin-right: auto; + margin-left: 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; + visibility: hidden!important; +} +.affix { + position: fixed; +} +@-ms-viewport { + width: device-width; +} +.visible-xs, tr.visible-xs, th.visible-xs, td.visible-xs { + display: none!important; +} +@media(max-width:767px) { + .visible-xs { + display: block!important; +} +table.visible-xs { + display: table; +} +tr.visible-xs { + display: table-row!important; +} +th.visible-xs, td.visible-xs { + display: table-cell!important; +} +}@media(min-width:768px) and (max-width:991px) { + .visible-xs.visible-sm { + display: block!important; +} +table.visible-xs.visible-sm { + display: table; +} +tr.visible-xs.visible-sm { + display: table-row!important; +} +th.visible-xs.visible-sm, td.visible-xs.visible-sm { + display: table-cell!important; +} +}@media(min-width:992px) and (max-width:1199px) { + .visible-xs.visible-md { + display: block!important; +} +table.visible-xs.visible-md { + display: table; +} +tr.visible-xs.visible-md { + display: table-row!important; +} +th.visible-xs.visible-md, td.visible-xs.visible-md { + display: table-cell!important; +} +}@media(min-width:1200px) { + .visible-xs.visible-lg { + display: block!important; +} +table.visible-xs.visible-lg { + display: table; +} +tr.visible-xs.visible-lg { + display: table-row!important; +} +th.visible-xs.visible-lg, td.visible-xs.visible-lg { + display: table-cell!important; +} +}.visible-sm, tr.visible-sm, th.visible-sm, td.visible-sm { + display: none!important; +} +@media(max-width:767px) { + .visible-sm.visible-xs { + display: block!important; +} +table.visible-sm.visible-xs { + display: table; +} +tr.visible-sm.visible-xs { + display: table-row!important; +} +th.visible-sm.visible-xs, td.visible-sm.visible-xs { + display: table-cell!important; +} +}@media(min-width:768px) and (max-width:991px) { + .visible-sm { + display: block!important; +} +table.visible-sm { + display: table; +} +tr.visible-sm { + display: table-row!important; +} +th.visible-sm, td.visible-sm { + display: table-cell!important; +} +}@media(min-width:992px) and (max-width:1199px) { + .visible-sm.visible-md { + display: block!important; +} +table.visible-sm.visible-md { + display: table; +} +tr.visible-sm.visible-md { + display: table-row!important; +} +th.visible-sm.visible-md, td.visible-sm.visible-md { + display: table-cell!important; +} +}@media(min-width:1200px) { + .visible-sm.visible-lg { + display: block!important; +} +table.visible-sm.visible-lg { + display: table; +} +tr.visible-sm.visible-lg { + display: table-row!important; +} +th.visible-sm.visible-lg, td.visible-sm.visible-lg { + display: table-cell!important; +} +}.visible-md, tr.visible-md, th.visible-md, td.visible-md { + display: none!important; +} +@media(max-width:767px) { + .visible-md.visible-xs { + display: block!important; +} +table.visible-md.visible-xs { + display: table; +} +tr.visible-md.visible-xs { + display: table-row!important; +} +th.visible-md.visible-xs, td.visible-md.visible-xs { + display: table-cell!important; +} +}@media(min-width:768px) and (max-width:991px) { + .visible-md.visible-sm { + display: block!important; +} +table.visible-md.visible-sm { + display: table; +} +tr.visible-md.visible-sm { + display: table-row!important; +} +th.visible-md.visible-sm, td.visible-md.visible-sm { + display: table-cell!important; +} +}@media(min-width:992px) and (max-width:1199px) { + .visible-md { + display: block!important; +} +table.visible-md { + display: table; +} +tr.visible-md { + display: table-row!important; +} +th.visible-md, td.visible-md { + display: table-cell!important; +} +}@media(min-width:1200px) { + .visible-md.visible-lg { + display: block!important; +} +table.visible-md.visible-lg { + display: table; +} +tr.visible-md.visible-lg { + display: table-row!important; +} +th.visible-md.visible-lg, td.visible-md.visible-lg { + display: table-cell!important; +} +}.visible-lg, tr.visible-lg, th.visible-lg, td.visible-lg { + display: none!important; +} +@media(max-width:767px) { + .visible-lg.visible-xs { + display: block!important; +} +table.visible-lg.visible-xs { + display: table; +} +tr.visible-lg.visible-xs { + display: table-row!important; +} +th.visible-lg.visible-xs, td.visible-lg.visible-xs { + display: table-cell!important; +} +}@media(min-width:768px) and (max-width:991px) { + .visible-lg.visible-sm { + display: block!important; +} +table.visible-lg.visible-sm { + display: table; +} +tr.visible-lg.visible-sm { + display: table-row!important; +} +th.visible-lg.visible-sm, td.visible-lg.visible-sm { + display: table-cell!important; +} +}@media(min-width:992px) and (max-width:1199px) { + .visible-lg.visible-md { + display: block!important; +} +table.visible-lg.visible-md { + display: table; +} +tr.visible-lg.visible-md { + display: table-row!important; +} +th.visible-lg.visible-md, td.visible-lg.visible-md { + display: table-cell!important; +} +}@media(min-width:1200px) { + .visible-lg { + display: block!important; +} +table.visible-lg { + display: table; +} +tr.visible-lg { + display: table-row!important; +} +th.visible-lg, td.visible-lg { + display: table-cell!important; +} +}.hidden-xs { + display: block!important; +} +table.hidden-xs { + display: table; +} +tr.hidden-xs { + display: table-row!important; +} +th.hidden-xs, td.hidden-xs { + display: table-cell!important; +} +@media(max-width:767px) { + .hidden-xs, tr.hidden-xs, th.hidden-xs, td.hidden-xs { + display: none!important; +} +}@media(min-width:768px) and (max-width:991px) { + .hidden-xs.hidden-sm, tr.hidden-xs.hidden-sm, th.hidden-xs.hidden-sm, td.hidden-xs.hidden-sm { + display: none!important; +} +}@media(min-width:992px) and (max-width:1199px) { + .hidden-xs.hidden-md, tr.hidden-xs.hidden-md, th.hidden-xs.hidden-md, td.hidden-xs.hidden-md { + display: none!important; +} +}@media(min-width:1200px) { + .hidden-xs.hidden-lg, tr.hidden-xs.hidden-lg, th.hidden-xs.hidden-lg, td.hidden-xs.hidden-lg { + display: none!important; +} +}.hidden-sm { + display: block!important; +} +table.hidden-sm { + display: table; +} +tr.hidden-sm { + display: table-row!important; +} +th.hidden-sm, td.hidden-sm { + display: table-cell!important; +} +@media(max-width:767px) { + .hidden-sm.hidden-xs, tr.hidden-sm.hidden-xs, th.hidden-sm.hidden-xs, td.hidden-sm.hidden-xs { + display: none!important; +} +}@media(min-width:768px) and (max-width:991px) { + .hidden-sm, tr.hidden-sm, th.hidden-sm, td.hidden-sm { + display: none!important; +} +}@media(min-width:992px) and (max-width:1199px) { + .hidden-sm.hidden-md, tr.hidden-sm.hidden-md, th.hidden-sm.hidden-md, td.hidden-sm.hidden-md { + display: none!important; +} +}@media(min-width:1200px) { + .hidden-sm.hidden-lg, tr.hidden-sm.hidden-lg, th.hidden-sm.hidden-lg, td.hidden-sm.hidden-lg { + display: none!important; +} +}.hidden-md { + display: block!important; +} +table.hidden-md { + display: table; +} +tr.hidden-md { + display: table-row!important; +} +th.hidden-md, td.hidden-md { + display: table-cell!important; +} +@media(max-width:767px) { + .hidden-md.hidden-xs, tr.hidden-md.hidden-xs, th.hidden-md.hidden-xs, td.hidden-md.hidden-xs { + display: none!important; +} +}@media(min-width:768px) and (max-width:991px) { + .hidden-md.hidden-sm, tr.hidden-md.hidden-sm, th.hidden-md.hidden-sm, td.hidden-md.hidden-sm { + display: none!important; +} +}@media(min-width:992px) and (max-width:1199px) { + .hidden-md, tr.hidden-md, th.hidden-md, td.hidden-md { + display: none!important; +} +}@media(min-width:1200px) { + .hidden-md.hidden-lg, tr.hidden-md.hidden-lg, th.hidden-md.hidden-lg, td.hidden-md.hidden-lg { + display: none!important; +} +}.hidden-lg { + display: block!important; +} +table.hidden-lg { + display: table; +} +tr.hidden-lg { + display: table-row!important; +} +th.hidden-lg, td.hidden-lg { + display: table-cell!important; +} +@media(max-width:767px) { + .hidden-lg.hidden-xs, tr.hidden-lg.hidden-xs, th.hidden-lg.hidden-xs, td.hidden-lg.hidden-xs { + display: none!important; +} +}@media(min-width:768px) and (max-width:991px) { + .hidden-lg.hidden-sm, tr.hidden-lg.hidden-sm, th.hidden-lg.hidden-sm, td.hidden-lg.hidden-sm { + display: none!important; +} +}@media(min-width:992px) and (max-width:1199px) { + .hidden-lg.hidden-md, tr.hidden-lg.hidden-md, th.hidden-lg.hidden-md, 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zD!@)TPLi_ga8fWDICx>j629NIRako**i^J!zQzLGT2yGOYblFziwekij!0t_ksH=o z^a7*nOj)#kl3Ip2Tw0>G5OdDE)znM|NsSqm57V?_PxNdv5iNz>JWs0qSY}a0#j?s6 z$())cOlF9(ouz!05l6+0G=99Ol9=_`BR2jUU%`~6cgC<`i`@`uwvLflQkM*VO^J!K%puNUW?E=nf zWM>F%T~V0hQ^sp5m|Gi+?U?W0WJYApYx&9vgJEGcm>2k-`(i|g*ceu@POj!it*cUM z1Wudhrmjpl_@a?yUaD@ap+Kc}tl3rWx?= zW@w9AAe@1hwtLDY-es#`*9F%BH>auIL{E%6GP4wvLKSh1zjc-zf9p()zjeAgS8H{C zd(Fhga7Jr&Xx$OXfXhbBHzU<)proBZTIyUn8#@KQHQrj=GMN@j=VE@(eA+PN!{lSD zT>br}RzU?En6b4KsA*^o4Jy4Q79*8~`R(!rM)|mE60jrH9;a4V4uo6pGuK6?(_os@ zxM--igc>=b1x+oCW~ae1=IUko74>3hYKM53Kf1zq1pzUchg>qS_?GN6UtFmV%(xniN5;)ipu6Y2Z&+ z>?E10F*cbpTRE#1AZBLb>bM=_-HQ@0SyPb4S8T(gRWYU}rkeWcr`E5rk^LQ6eL3iI zom0LxHhjTJuV9!98nO9z{fyAGu2aI8+Bn(DOTMlMoc5g7s + + + + + + + + + + + + + Format - UnitCommitment.jl + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+
+ +

Data Format

+

1. Input Data Format

+

Instances are specified by JSON files containing the following main sections:

+
    +
  • Parameters
    • +
  • Buses
    • +
  • Generators
    • +
  • Price-sensitive loads
    • +
  • Transmission lines
    • +
  • Reserves
    • +
  • Contingencies
    • +
+

Each section is described in detail below. For a complete example, see case14.

+

1.1 Parameters

+

This section describes system-wide parameters, such as power balance penalties, optimization parameters, such as the length of the planning horizon and the time.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
KeyDescriptionDefaultTime series?
Time horizon (h)Length of the planning horizon (in hours).RequiredN
Time step (min)Length of each time step (in minutes). Must be a divisor of 60 (e.g. 60, 30, 20, 15, etc).60N
Power balance penalty ($/MW)Penalty for system-wide shortage or surplus in production (in $/MW). This is charged per time step. For example, if there is a shortage of 1 MW for three time steps, three times this amount will be charged.1000.0Y
+

Example

+
{
+    "Parameters": {
+        "Time horizon (h)": 4,
+        "Power balance penalty ($/MW)": 1000.0
+    }
+}
+
+

1.2 Buses

+

This section describes the characteristics of each bus in the system.

+ + + + + + + + + + + + + + + + + +
KeyDescriptionDefaultTime series?
Load (MW)Fixed load connected to the bus (in MW).RequiredY
+

Example

+
{
+    "Buses": {
+        "b1": {
+            "Load (MW)": 0.0
+        },
+        "b2": {
+            "Load (MW)": [
+                26.01527,
+                24.46212,
+                23.29725,
+                22.90897
+            ]
+        }
+    }
+}
+
+

1.3 Generators

+

This section describes all generators in the system, including thermal units, renewable units and virtual units.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
KeyDescriptionDefaultTime series?
BusIdentifier of the bus where this generator is located (string).RequiredN
Production cost curve (MW) and Production cost curve ($)Parameters describing the piecewise-linear production costs. See below for more details.RequiredY
Startup costs ($) and Startup delays (h)Parameters describing how much it costs to start the generator after it has been shut down for a certain amount of time. If Startup costs ($) and Startup delays (h) are set to [300.0, 400.0] and [1, 4], for example, and the generator is shut down at time 00:00 (h:min), then it costs 300 to start up the generator at any time between 01:00 and 03:59, and 400 to start the generator at time 04:00 or any time after that. The number of startup cost points is unlimited, and may be different for each generator. Startup delays must be strictly increasing and the first entry must equal Minimum downtime (h).[0.0] and [1]N
Minimum uptime (h)Minimum amount of time the generator must stay operational after starting up (in hours). For example, if the generator starts up at time 00:00 (h:min) and Minimum uptime (h) is set to 4, then the generator can only shut down at time 04:00.1N
Minimum downtime (h)Minimum amount of time the generator must stay offline after shutting down (in hours). For example, if the generator shuts down at time 00:00 (h:min) and Minimum downtime (h) is set to 4, then the generator can only start producing power again at time 04:00.1N
Ramp up limit (MW)Maximum increase in production from one time step to the next (in MW). For example, if the generator is producing 100 MW at time step 1 and if this parameter is set to 40 MW, then the generator will produce at most 140 MW at time step 2.+infN
Ramp down limit (MW)Maximum decrease in production from one time step to the next (in MW). For example, if the generator is producing 100 MW at time step 1 and this parameter is set to 40 MW, then the generator will produce at least 60 MW at time step 2.+infN
Startup limit (MW)Maximum amount of power a generator can produce immediately after starting up (in MW). For example, if Startup limit (MW) is set to 100 MW and the unit is off at time step 1, then it may produce at most 100 MW at time step 2.+infN
Shutdown limit (MW)Maximum amount of power a generator can produce immediately before shutting down (in MW). Specifically, the generator can only shut down at time step t+1 if its production at time step t is below this limit.+infN
Initial status (h)If set to a positive number, indicates the amount of time (in hours) the generator has been on at the beginning of the simulation, and if set to a negative number, the amount of time the generator has been off. For example, if Initial status (h) is -2, this means that the generator was off since -02:00 (h:min). The simulation starts at time 00:00. If Initial status (h) is 3, this means that the generator was on since -03:00. A value of zero is not acceptable.RequiredN
Initial power (MW)Amount of power the generator at time step -1, immediately before the planning horizon starts.RequiredN
Must run?If true, the generator should be committed, even if that is not economical (Boolean).falseY
Provides spinning reserves?If true, this generator may provide spinning reserves (Boolean).trueY
+

Production costs and limits

+

Production costs are represented as piecewise-linear curves. Figure 1 shows an example cost curve with three segments, where it costs 1400, 1600, 2200 and 2400 dollars to generate, respectively, 100, 110, 130 and 135 MW of power. To model this generator, Production cost curve (MW) should be set to [100, 110, 130, 135], and Production cost curve ($) should be set to [1400, 1600, 2200, 2400]. +Note that this curve also specifies the production limits. Specifically, the first point identifies the minimum power output when the unit is operational, while the last point identifies the maximum power output.

+

+ +
Figure 1. Piecewise-linear production cost curve.
+
+

+

Additional remarks:

+
    +
  • For time-dependent production limits or time-dependent production costs, the usage of nested arrays is allowed. For example, if Production cost curve (MW) is set to [5.0, [10.0, 12.0, 15.0, 20.0]], then the unit may generate at most 10, 12, 15 and 20 MW of power during time steps 1, 2, 3 and 4, respectively. The minimum output for all time periods is fixed to at 5 MW.
    • +
  • There is no limit to the number of piecewise-linear segments, and different generators may have a different number of segments.
    • +
  • If Production cost curve (MW) and Production cost curve ($) both contain a single element, then the generator must produce exactly that amount of power when operational. To specify that the generator may produce any amount of power up to a certain limit P, the parameter Production cost curve (MW) should be set to [0, P].
    • +
  • Production cost curves must be convex.
    • +
+

Example

+
{
+    "Generators": {
+        "gen1": {
+            "Bus": "b1",
+            "Production cost curve (MW)": [100.0, 110.0, 130.0, 135.0],
+            "Production cost curve ($)": [1400.0, 1600.0, 2200.0, 2400.0],
+            "Startup costs ($)": [300.0, 400.0],
+            "Startup delays (h)": [1, 4],
+            "Ramp up limit (MW)": 232.68,
+            "Ramp down limit (MW)": 232.68,
+            "Startup limit (MW)": 232.68,
+            "Shutdown limit (MW)": 232.68,
+            "Minimum downtime (h)": 4,
+            "Minimum uptime (h)": 4,
+            "Initial status (h)": 12,
+            "Must run?": false,
+            "Provides spinning reserves?": true,
+        },
+        "gen2": {
+            "Bus": "b5",
+            "Production cost curve (MW)": [0.0, [10.0, 8.0, 0.0, 3.0]],
+            "Production cost curve ($)": [0.0, 0.0],
+            "Provides spinning reserves?": true,
+        }
+    }
+}
+
+

1.4 Price-sensitive loads

+

This section describes components in the system which may increase or reduce their energy consumption according to the energy prices. Fixed loads (as described in the buses section) are always served, regardless of the price, unless there is significant congestion in the system or insufficient production capacity. Price-sensitive loads, on the other hand, are only served if it is economical to do so.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
KeyDescriptionDefaultTime series?
BusBus where the load is located. Multiple price-sensitive loads may be placed at the same bus.RequiredN
Revenue ($/MW)Revenue obtained for serving each MW of power to this load.RequiredY
Demand (MW)Maximum amount of power required by this load. Any amount lower than this may be served.RequiredY
+

Example

+
{
+    "Price-sensitive loads": {
+        "p1": {
+            "Bus": "b3",
+            "Revenue ($/MW)": 23.0,
+            "Demand (MW)": 50.0
+        }
+    }
+}
+
+

1.5 Transmission Lines

+

This section describes the characteristics of transmission system, such as its topology and the susceptance of each transmission line.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
KeyDescriptionDefaultTime series?
Source busIdentifier of the bus where the transmission line originates.RequiredN
Target busIdentifier of the bus where the transmission line reaches.RequiredN
Reactance (ohms)Reactance of the transmission line (in ohms).RequiredN
Susceptance (S)Susceptance of the transmission line (in siemens).RequiredN
Normal flow limit (MW)Maximum amount of power (in MW) allowed to flow through the line when the system is in its regular, fully-operational state.+infY
Emergency flow limit (MW)Maximum amount of power (in MW) allowed to flow through the line when the system is in degraded state (for example, after the failure of another transmission line).+infY
Flow limit penalty ($/MW)Penalty for violating the flow limits of the transmission line (in $/MW). This is charged per time step. For example, if there is a thermal violation of 1 MW for three time steps, then three times this amount will be charged.5000.0Y
+

Example

+
{
+    "Transmission lines": {
+        "l1": {
+            "Source bus": "b1",
+            "Target bus": "b2",
+            "Reactance (ohms)": 0.05917,
+            "Susceptance (S)": 29.49686,
+            "Normal flow limit (MW)": 15000.0,
+            "Emergency flow limit (MW)": 20000.0,
+            "Flow limit penalty ($/MW)": 5000.0
+        }
+    }
+}
+
+

1.6 Reserves

+

This section describes the hourly amount of operating reserves required.

+ + + + + + + + + + + + + + + + + +
KeyDescriptionDefaultTime series?
Spinning (MW)Minimum amount of system-wide spinning reserves (in MW). Only generators which are online may provide this reserve.0.0Y
+

Example

+
{
+    "Reserves": {
+        "Spinning (MW)": [
+            57.30552,
+            53.88429,
+            51.31838,
+            50.46307
+        ]
+    }
+}
+
+

1.7 Contingencies

+

This section describes credible contingency scenarios in the optimization, such as the loss of a transmission line or generator.

+ + + + + + + + + + + + + + + + + + + + +
KeyDescriptionDefault
Affected generatorsList of generators affected by this contingency. May be omitted if no generators are affected.[]
Affected linesList of transmission lines affected by this contingency. May be omitted if no lines are affected.[]
+

Example

+
{
+    "Contingencies": {
+        "c1": {
+            "Affected lines": ["l1", "l2", "l3"],
+            "Affected generators": ["g1"]
+        },
+        "c2": {
+            "Affected lines": ["l4"]
+        },
+    }
+}
+
+

1.8 Additional remarks

+

Time series parameters

+

Many numerical properties in the JSON file can be specified either as a single floating point number if they are time-independent, or as an array containing exactly T elements, if they are time-dependent, where T is the number of time steps in the planning horizon. For example, both formats below are valid when T=3:

+
{
+    "Load (MW)": 800.0,
+    "Load (MW)": [800.0, 850.0, 730.0]
+}
+
+

The value T depends on both Time horizon (h) and Time step (min), as the table below illustrates.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Time horizon (h)Time step (min)T
246024
241596
245288
366036
3615144
365432
+

Current limitations

+
    +
  • All reserves are system-wide (no zonal reserves)
    • +
  • Network topology remains the same for all time periods
    • +
  • Only N-1 transmission contingencies are supported. Generator contingencies are not supported.
    • +
  • Time-varying minimum production amounts are not currently compatible with ramp/startup/shutdown limits.
    • +
+

2. Output Data Format

+

The output data format is also JSON-based, but it is not currently documented since we expect it to change significantly in a future version of the package.

+ + +
+ + +
+ + +
+

+ Copyright © 2020, UChicago Argonne, LLC. All Rights Reserved.
+ + Documentation built with MkDocs. +

+ + + + +
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+ + +
+
+ +

UnitCommitment.jl

+

UnitCommitment.jl (UC.jl) is a Julia optimization package for the Security-Constrained Unit Commitment Problem (SCUC), a fundamental optimization problem in power systems used, for example, to clear the day-ahead electricity markets. The package provides benchmark instances for the problem and Julia/JuMP implementations of state-of-the-art mixed-integer programming formulations.

+

Package Components

+
    +
  • Data Format: The package proposes an extensible and fully-documented JSON-based data specification format for SCUC, developed in collaboration with Independent System Operators (ISOs), which describes the most important aspects of the problem. The format supports all the most common generator characteristics (including ramping, piecewise-linear production cost curves and time-dependent startup costs), as well as operating reserves, price-sensitive loads, transmission networks and contingencies.
    • +
  • Benchmark Instances: The package provides a diverse collection of large-scale benchmark instances collected from the literature and extended to make them more challenging and realistic.
    • +
  • Model Implementation: The package provides a Julia/JuMP implementation of state-of-the-art formulations and solution methods for SCUC. Our goal is to keep this implementation up-to-date, as new methods are proposed in the literature.
    • +
  • Benchmark Tools: The package provides automated benchmark scripts to accurately evaluate the performance impact of proposed code changes.
    • +
+

Documentation

+ +

Source code

+ +

Authors

+
    +
  • Alinson Santos Xavier (Argonne National Laboratory)
    • +
  • Feng Qiu (Argonne National Laboratory)
    • +
+

Acknowledgments

+
    +
  • +

    We would like to thank Aleksandr M. Kazachkov (University of Florida), Yonghong Chen (Midcontinent Independent System Operator), Feng Pan (Pacific Northwest National Laboratory) for valuable feedback on early versions of this package.

    +
    • +
  • +

    Based upon work supported by Laboratory Directed Research and Development (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357.

    +
    • +
+

Citing

+

If you use UnitCommitment.jl in your research, we request that you cite the package as follows:

+
    +
  • Alinson S. Xavier, Feng Qiu, "UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment". Zenodo (2020). DOI: 10.5281/zenodo.4269874.
    • +
+

If you make use of the provided instances files, we request that you additionally cite the original sources, as described in the instances page.

+

License

+

Released under the modified BSD license. See LICENSE.md for more details.

+ + +
+ + +
+ + +
+

+ Copyright © 2020, UChicago Argonne, LLC. All Rights Reserved.
+ + Documentation built with MkDocs. +

+ + + + +
+ + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/0.2/instances/index.html b/0.2/instances/index.html new file mode 100644 index 0000000..9a76186 --- /dev/null +++ b/0.2/instances/index.html @@ -0,0 +1,2154 @@ + + + + + + + + + + + + + + Instances - UnitCommitment.jl + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+
+ +

Instances

+

UnitCommitment.jl provides a large collection of benchmark instances collected +from the literature and converted to a common data format. In some cases, as indicated below, the original instances have been extended, with realistic parameters, using data-driven methods. +If you use these instances in your research, we request that you cite UnitCommitment.jl, as well as the original sources.

+

Raw instances files are available at our GitHub repository. Benchmark instances can also be loaded with +UnitCommitment.read_benchmark(name), as explained in the usage section.

+

1. MATPOWER

+

MATPOWER is an open-source package for solving power flow problems in MATLAB and Octave. It contains a number of power flow test cases, which have been widely used in the power systems literature.

+

Because most MATPOWER test cases were originally designed for power flow studies, they lack a number of important unit commitment parameters, such as time-varying loads, production cost curves, ramp limits, reserves and initial conditions. The test cases included in UnitCommitment.jl are extended versions of the original MATPOWER test cases, modified as following:

+
    +
  • +

    Production cost curves were generated using a data-driven approach, based on publicly available data. More specifically, machine learning models were trained to predict typical production cost curves, for each day of the year, based on a generator's maximum and minimum power output.

    +
    • +
  • +

    Load profiles were generated using a similar data-driven approach.

    +
    • +
  • +

    Ramp-up, ramp-down, startup and shutdown rates were set to a fixed proportion of the generator's maximum output.

    +
    • +
  • +

    Minimum reserves were set to a fixed proportion of the total demand.

    +
    • +
  • +

    Contingencies were set to include all N-1 transmission line contingencies that do not generate islands or isolated buses. More specifically, there is one contingency for each transmission line, as long as that transmission line is not a bridge in the network graph.

    +
    • +
+

For each MATPOWER test case, UC.jl provides two variations (2017-02-01 and 2017-08-01) corresponding respectively to a winter and to a summer test case.

+

1.1 MATPOWER/UW-PSTCA

+

A variety of smaller IEEE test cases, compiled by University of Washington, corresponding mostly to small portions of the American Electric Power System in the 1960s.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameBusesGeneratorsLinesContingenciesReferences
matpower/case14/2017-02-011452019[MTPWR, PSTCA]
matpower/case14/2017-08-011452019[MTPWR, PSTCA]
matpower/case30/2017-02-013064138[MTPWR, PSTCA]
matpower/case30/2017-08-013064138[MTPWR, PSTCA]
matpower/case57/2017-02-015778079[MTPWR, PSTCA]
matpower/case57/2017-08-015778079[MTPWR, PSTCA]
matpower/case118/2017-02-0111854186177[MTPWR, PSTCA]
matpower/case118/2017-08-0111854186177[MTPWR, PSTCA]
matpower/case300/2017-02-0130069411320[MTPWR, PSTCA]
matpower/case300/2017-08-0130069411320[MTPWR, PSTCA]
+

1.2 MATPOWER/Polish

+

Test cases based on the Polish 400, 220 and 110 kV networks, originally provided by Roman Korab (Politechnika Śląska) and corrected by the MATPOWER team.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameBusesGeneratorsLinesContingenciesReferences
matpower/case2383wp/2017-02-01238332328962240[MTPWR]
matpower/case2383wp/2017-08-01238332328962240[MTPWR]
matpower/case2736sp/2017-02-01273628935043159[MTPWR]
matpower/case2736sp/2017-08-01273628935043159[MTPWR]
matpower/case2737sop/2017-02-01273726735063161[MTPWR]
matpower/case2737sop/2017-08-01273726735063161[MTPWR]
matpower/case2746wop/2017-02-01274644335143155[MTPWR]
matpower/case2746wop/2017-08-01274644335143155[MTPWR]
matpower/case2746wp/2017-02-01274645735143156[MTPWR]
matpower/case2746wp/2017-08-01274645735143156[MTPWR]
matpower/case3012wp/2017-02-01301249635722854[MTPWR]
matpower/case3012wp/2017-08-01301249635722854[MTPWR]
matpower/case3120sp/2017-02-01312048336932950[MTPWR]
matpower/case3120sp/2017-08-01312048336932950[MTPWR]
matpower/case3375wp/2017-02-01337459041613245[MTPWR]
matpower/case3375wp/2017-08-01337459041613245[MTPWR]
+

1.3 MATPOWER/PEGASE

+

Test cases from the Pan European Grid Advanced Simulation and State Estimation (PEGASE) project, describing part of the European high voltage transmission network.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameBusesGeneratorsLinesContingenciesReferences
matpower/case89pegase/2017-02-018912210192[JoFlMa16, FlPaCa13, MTPWR]
matpower/case89pegase/2017-08-018912210192[JoFlMa16, FlPaCa13, MTPWR]
matpower/case1354pegase/2017-02-01135426019911288[JoFlMa16, FlPaCa13, MTPWR]
matpower/case1354pegase/2017-08-01135426019911288[JoFlMa16, FlPaCa13, MTPWR]
matpower/case2869pegase/2017-02-01286951045823579[JoFlMa16, FlPaCa13, MTPWR]
matpower/case2869pegase/2017-08-01286951045823579[JoFlMa16, FlPaCa13, MTPWR]
matpower/case9241pegase/2017-02-01924114451604913932[JoFlMa16, FlPaCa13, MTPWR]
matpower/case9241pegase/2017-08-01924114451604913932[JoFlMa16, FlPaCa13, MTPWR]
matpower/case13659pegase/2017-02-011365940922046713932[JoFlMa16, FlPaCa13, MTPWR]
matpower/case13659pegase/2017-08-011365940922046713932[JoFlMa16, FlPaCa13, MTPWR]
+

1.4 MATPOWER/RTE

+

Test cases from the R&D Division at Reseau de Transport d'Electricite representing the size and complexity of the French very high voltage transmission network.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameBusesGeneratorsLinesContingenciesReferences
matpower/case1888rte/2017-02-01188829625311484[MTPWR, JoFlMa16]
matpower/case1888rte/2017-08-01188829625311484[MTPWR, JoFlMa16]
matpower/case1951rte/2017-02-01195139025961497[MTPWR, JoFlMa16]
matpower/case1951rte/2017-08-01195139025961497[MTPWR, JoFlMa16]
matpower/case2848rte/2017-02-01284854437762242[MTPWR, JoFlMa16]
matpower/case2848rte/2017-08-01284854437762242[MTPWR, JoFlMa16]
matpower/case2868rte/2017-02-01286859638082260[MTPWR, JoFlMa16]
matpower/case2868rte/2017-08-01286859638082260[MTPWR, JoFlMa16]
matpower/case6468rte/2017-02-016468126290006094[MTPWR, JoFlMa16]
matpower/case6468rte/2017-08-016468126290006094[MTPWR, JoFlMa16]
matpower/case6470rte/2017-02-016470130690056085[MTPWR, JoFlMa16]
matpower/case6470rte/2017-08-016470130690056085[MTPWR, JoFlMa16]
matpower/case6495rte/2017-02-016495135290196060[MTPWR, JoFlMa16]
matpower/case6495rte/2017-08-016495135290196060[MTPWR, JoFlMa16]
matpower/case6515rte/2017-02-016515136890376063[MTPWR, JoFlMa16]
matpower/case6515rte/2017-08-016515136890376063[MTPWR, JoFlMa16]
+

2. PGLIB-UC Instances

+

PGLIB-UC is a benchmark library curated and maintained by the IEEE PES Task Force on Benchmarks for Validation of Emerging Power System Algorithms. These test cases have been used in [KnOsWa20].

+

2.1 PGLIB-UC/California

+

Test cases based on publicly available data from the California ISO. For more details, see PGLIB-UC case file overview.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameBusesGeneratorsLinesContingenciesReferences
pglib-uc/ca/2014-09-01_reserves_0161000[KnOsWa20]
pglib-uc/ca/2014-09-01_reserves_1161000[KnOsWa20]
pglib-uc/ca/2014-09-01_reserves_3161000[KnOsWa20]
pglib-uc/ca/2014-09-01_reserves_5161000[KnOsWa20]
pglib-uc/ca/2014-12-01_reserves_0161000[KnOsWa20]
pglib-uc/ca/2014-12-01_reserves_1161000[KnOsWa20]
pglib-uc/ca/2014-12-01_reserves_3161000[KnOsWa20]
pglib-uc/ca/2014-12-01_reserves_5161000[KnOsWa20]
pglib-uc/ca/2015-03-01_reserves_0161000[KnOsWa20]
pglib-uc/ca/2015-03-01_reserves_1161000[KnOsWa20]
pglib-uc/ca/2015-03-01_reserves_3161000[KnOsWa20]
pglib-uc/ca/2015-03-01_reserves_5161000[KnOsWa20]
pglib-uc/ca/2015-06-01_reserves_0161000[KnOsWa20]
pglib-uc/ca/2015-06-01_reserves_1161000[KnOsWa20]
pglib-uc/ca/2015-06-01_reserves_3161000[KnOsWa20]
pglib-uc/ca/2015-06-01_reserves_5161000[KnOsWa20]
pglib-uc/ca/Scenario400_reserves_0161100[KnOsWa20]
pglib-uc/ca/Scenario400_reserves_1161100[KnOsWa20]
pglib-uc/ca/Scenario400_reserves_3161100[KnOsWa20]
pglib-uc/ca/Scenario400_reserves_5161100[KnOsWa20]
+

2.2 PGLIB-UC/FERC

+

Test cases based on a publicly available unit commitment test case produced by the Federal Energy Regulatory Commission. For more details, see PGLIB-UC case file overview.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameBusesGeneratorsLinesContingenciesReferences
pglib-uc/ferc/2015-01-01_hw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-01-01_lw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-02-01_hw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-02-01_lw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-03-01_hw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-03-01_lw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-04-01_hw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-04-01_lw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-05-01_hw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-05-01_lw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-06-01_hw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-06-01_lw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-07-01_hw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-07-01_lw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-08-01_hw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-08-01_lw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-09-01_hw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-09-01_lw197900[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-10-01_hw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-10-01_lw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-11-02_hw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-11-02_lw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-12-01_hw193500[KnOsWa20, KrHiOn12]
pglib-uc/ferc/2015-12-01_lw193500[KnOsWa20, KrHiOn12]
+

2.3 PGLIB-UC/RTS-GMLC

+

RTS-GMLC is an updated version of the RTS-96 test system produced by the United States Department of Energy's Grid Modernization Laboratory Consortium. The PGLIB-UC/RTS-GMLC instances are modified versions of the original RTS-GMLC instances, with modified ramp-rates and without a transmission network. For more details, see PGLIB-UC case file overview.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameBusesGeneratorsLinesContingenciesReferences
pglib-uc/rts_gmlc/2020-01-27115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-02-09115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-03-05115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-04-03115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-05-05115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-06-09115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-07-06115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-08-12115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-09-20115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-10-27115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-11-25115400[BaBlEh19]
pglib-uc/rts_gmlc/2020-12-23115400[BaBlEh19]
+

3. OR-LIB/UC

+

OR-LIB is a collection of test data sets for a variety of operations research problems, including unit commitment. The UC instances in OR-LIB are synthetic instances generated by a random problem generator developed by the Operations Research Group at University of Pisa. These test cases have been used in [FrGe06] and many other publications.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameHoursBusesGeneratorsLinesContingenciesReferences
or-lib/10_0_1_w2411000[ORLIB, FrGe06]
or-lib/10_0_2_w2411000[ORLIB, FrGe06]
or-lib/10_0_3_w2411000[ORLIB, FrGe06]
or-lib/10_0_4_w2411000[ORLIB, FrGe06]
or-lib/10_0_5_w2411000[ORLIB, FrGe06]
or-lib/20_0_1_w2412000[ORLIB, FrGe06]
or-lib/20_0_2_w2412000[ORLIB, FrGe06]
or-lib/20_0_3_w2412000[ORLIB, FrGe06]
or-lib/20_0_4_w2412000[ORLIB, FrGe06]
or-lib/20_0_5_w2412000[ORLIB, FrGe06]
or-lib/50_0_1_w2415000[ORLIB, FrGe06]
or-lib/50_0_2_w2415000[ORLIB, FrGe06]
or-lib/50_0_3_w2415000[ORLIB, FrGe06]
or-lib/50_0_4_w2415000[ORLIB, FrGe06]
or-lib/50_0_5_w2415000[ORLIB, FrGe06]
or-lib/75_0_1_w2417500[ORLIB, FrGe06]
or-lib/75_0_2_w2417500[ORLIB, FrGe06]
or-lib/75_0_3_w2417500[ORLIB, FrGe06]
or-lib/75_0_4_w2417500[ORLIB, FrGe06]
or-lib/75_0_5_w2417500[ORLIB, FrGe06]
or-lib/100_0_1_w24110000[ORLIB, FrGe06]
or-lib/100_0_2_w24110000[ORLIB, FrGe06]
or-lib/100_0_3_w24110000[ORLIB, FrGe06]
or-lib/100_0_4_w24110000[ORLIB, FrGe06]
or-lib/100_0_5_w24110000[ORLIB, FrGe06]
or-lib/150_0_1_w24115000[ORLIB, FrGe06]
or-lib/150_0_2_w24115000[ORLIB, FrGe06]
or-lib/150_0_3_w24115000[ORLIB, FrGe06]
or-lib/150_0_4_w24115000[ORLIB, FrGe06]
or-lib/150_0_5_w24115000[ORLIB, FrGe06]
or-lib/200_0_10_w24120000[ORLIB, FrGe06]
or-lib/200_0_11_w24120000[ORLIB, FrGe06]
or-lib/200_0_12_w24120000[ORLIB, FrGe06]
or-lib/200_0_1_w24120000[ORLIB, FrGe06]
or-lib/200_0_2_w24120000[ORLIB, FrGe06]
or-lib/200_0_3_w24120000[ORLIB, FrGe06]
or-lib/200_0_4_w24120000[ORLIB, FrGe06]
or-lib/200_0_5_w24120000[ORLIB, FrGe06]
or-lib/200_0_6_w24120000[ORLIB, FrGe06]
or-lib/200_0_7_w24120000[ORLIB, FrGe06]
or-lib/200_0_8_w24120000[ORLIB, FrGe06]
or-lib/200_0_9_w24120000[ORLIB, FrGe06]
+

4. Tejada19

+

Test cases used in [TeLuSa19]. These instances are similar to OR-LIB/UC, in the sense that they use the same random problem generator, but are much larger.

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameHoursBusesGeneratorsLinesContingenciesReferences
tejada19/UC_24h_214g24121400[TeLuSa19]
tejada19/UC_24h_250g24125000[TeLuSa19]
tejada19/UC_24h_290g24129000[TeLuSa19]
tejada19/UC_24h_480g24148000[TeLuSa19]
tejada19/UC_24h_505g24150500[TeLuSa19]
tejada19/UC_24h_623g24162300[TeLuSa19]
tejada19/UC_24h_647g24164700[TeLuSa19]
tejada19/UC_24h_836g24183600[TeLuSa19]
tejada19/UC_24h_850g24185000[TeLuSa19]
tejada19/UC_24h_918g24191800[TeLuSa19]
tejada19/UC_24h_931g24193100[TeLuSa19]
tejada19/UC_24h_940g24194000[TeLuSa19]
tejada19/UC_24h_957g24195700[TeLuSa19]
tejada19/UC_24h_959g24195900[TeLuSa19]
tejada19/UC_24h_1069g241106900[TeLuSa19]
tejada19/UC_24h_1130g241113000[TeLuSa19]
tejada19/UC_24h_1376g241137600[TeLuSa19]
tejada19/UC_24h_1393g241139300[TeLuSa19]
tejada19/UC_24h_1577g241157700[TeLuSa19]
tejada19/UC_24h_1615g241161500[TeLuSa19]
tejada19/UC_24h_1632g241163200[TeLuSa19]
tejada19/UC_24h_1768g241176800[TeLuSa19]
tejada19/UC_24h_1804g241180400[TeLuSa19]
tejada19/UC_24h_1820g241182000[TeLuSa19]
tejada19/UC_24h_1823g241182300[TeLuSa19]
tejada19/UC_24h_1888g241188800[TeLuSa19]
tejada19/UC_168h_36g16813600[TeLuSa19]
tejada19/UC_168h_38g16813800[TeLuSa19]
tejada19/UC_168h_40g16814000[TeLuSa19]
tejada19/UC_168h_53g16815300[TeLuSa19]
tejada19/UC_168h_58g16815800[TeLuSa19]
tejada19/UC_168h_59g16815900[TeLuSa19]
tejada19/UC_168h_72g16817200[TeLuSa19]
tejada19/UC_168h_84g16818400[TeLuSa19]
tejada19/UC_168h_86g16818600[TeLuSa19]
tejada19/UC_168h_88g16818800[TeLuSa19]
tejada19/UC_168h_93g16819300[TeLuSa19]
tejada19/UC_168h_105g168110500[TeLuSa19]
tejada19/UC_168h_110g168111000[TeLuSa19]
tejada19/UC_168h_125g168112500[TeLuSa19]
tejada19/UC_168h_130g168113000[TeLuSa19]
tejada19/UC_168h_131g168113100[TeLuSa19]
tejada19/UC_168h_140g168114000[TeLuSa19]
tejada19/UC_168h_165g168116500[TeLuSa19]
tejada19/UC_168h_175g168117500[TeLuSa19]
tejada19/UC_168h_179g168117900[TeLuSa19]
tejada19/UC_168h_188g168118800[TeLuSa19]
tejada19/UC_168h_192g168119200[TeLuSa19]
tejada19/UC_168h_199g168119900[TeLuSa19]
+

5. References

+
    +
  • +

    [UCJL] Alinson S. Xavier, Feng Qiu. "UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment". Zenodo (2020). DOI: 10.5281/zenodo.4269874

    +
    • +
  • +

    [KnOsWa20] Bernard Knueven, James Ostrowski and Jean-Paul Watson. "On Mixed-Integer Programming Formulations for the Unit Commitment Problem". INFORMS Journal on Computing (2020). DOI: 10.1287/ijoc.2019.0944

    +
    • +
  • +

    [KrHiOn12] Eric Krall, Michael Higgins and Richard P. O’Neill. "RTO unit commitment test system." Federal Energy Regulatory Commission. Available at: https://www.ferc.gov/industries-data/electric/power-sales-and-markets/increasing-efficiency-through-improved-software-1 (Accessed: Nov 14, 2020)

    +
    • +
  • +

    [BaBlEh19] Clayton Barrows, Aaron Bloom, Ali Ehlen, Jussi Ikaheimo, Jennie Jorgenson, Dheepak Krishnamurthy, Jessica Lau et al. "The IEEE Reliability Test System: A Proposed 2019 Update." IEEE Transactions on Power Systems (2019). DOI: 10.1109/TPWRS.2019.2925557

    +
    • +
  • +

    [JoFlMa16] C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici. "AC Power Flow +Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE". ArXiv (2016).

    +
    • +
  • +

    [FlPaCa13] S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel. +"Contingency ranking with respect to overloads in very large power +systems taking into account uncertainty, preventive and corrective +actions", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013. +DOI: 10.1109/TPWRS.2013.2251015

    +
    • +
  • +

    [MTPWR] D. Zimmerman, C. E. Murillo-Sandnchez and R. J. Thomas. "Matpower: Steady-state operations, planning, and analysis tools forpower systems research and education", IEEE Transactions on PowerSystems, vol. 26, no. 1, pp. 12 –19, Feb. 2011. DOI: 10.1109/TPWRS.2010.2051168

    +
    • +
  • +

    [PSTCA] University of Washington, Dept. of Electrical Engineering. "Power Systems Test Case Archive". Available at: http://www.ee.washington.edu/research/pstca/ (Accessed: Nov 14, 2020)

    +
    • +
  • +

    [ORLIB] J.E.Beasley. "OR-Library: distributing test problems by electronic mail", Journal of the Operational Research Society 41(11) (1990). DOI: 10.2307/2582903

    +
    • +
  • +

    [FrGe06] A. Frangioni, C. Gentile. "Solving nonlinear single-unit commitment problems with ramping constraints" Operations Research 54(4), p. 767 - 775, 2006. DOI: 10.1287/opre.1060.0309

    +
    • +
  • +

    [TeLuSa19] D. A. Tejada-Arango, S. Lumbreras, P. Sanchez-Martin and A. Ramos. "Which Unit-Commitment Formulation is Best? A Systematic Comparison," in IEEE Transactions on Power Systems. DOI: 10.1109/TPWRS.2019.2962024.

    +
    • +
+ + +
+ + +
+ + +
+

+ Copyright © 2020, UChicago Argonne, LLC. All Rights Reserved.
+ + Documentation built with MkDocs. +

+ + + + +
+ + + + + + + + + + + + + + + + + + + + + + + diff --git a/0.2/js/base.js b/0.2/js/base.js new file mode 100644 index 0000000..1db589c --- /dev/null +++ b/0.2/js/base.js @@ -0,0 +1,225 @@ +function getSearchTerm() { + var sPageURL = window.location.search.substring(1); + var sURLVariables = sPageURL.split('&'); + for (var i = 0; i < sURLVariables.length; i++) { + var sParameterName = sURLVariables[i].split('='); + if (sParameterName[0] == 'q') { + return sParameterName[1]; + } + } +} + +$(document).ready(function() { + /** + * ------------------------------------------------------------------------ + * Taken from themes/mkdocs/js/base.js + * ------------------------------------------------------------------------ + */ + var search_term = getSearchTerm(), + $search_modal = $('#mkdocs_search_modal'), + $keyboard_modal = $('#mkdocs_keyboard_modal'); + + if (search_term) { + $search_modal.modal(); + } + + // make sure search input gets autofocus everytime modal opens. + $search_modal.on('shown.bs.modal', function() { + $search_modal.find('#mkdocs-search-query').focus(); + }); + + // Close search modal when result is selected + // The links get added later so listen to parent + $('#mkdocs-search-results').click(function(e) { + if ($(e.target).is('a')) { + $search_modal.modal('hide'); + } + }); + + if (typeof shortcuts !== 'undefined') { + // Populate keyboard modal with proper Keys + $keyboard_modal.find('.help.shortcut kbd')[0].innerHTML = keyCodes[shortcuts.help]; + $keyboard_modal.find('.prev.shortcut kbd')[0].innerHTML = keyCodes[shortcuts.previous]; + $keyboard_modal.find('.next.shortcut kbd')[0].innerHTML = keyCodes[shortcuts.next]; + $keyboard_modal.find('.search.shortcut kbd')[0].innerHTML = keyCodes[shortcuts.search]; + + // Keyboard navigation + document.addEventListener("keydown", function(e) { + if ($(e.target).is(':input')) return true; + var key = e.which || e.key || window.event && window.event.key; + var page; + switch (key) { + case shortcuts.next: + page = $('.navbar a[rel="next"]:first').prop('href'); + break; + case shortcuts.previous: + page = $('.navbar a[rel="prev"]:first').prop('href'); + break; + case shortcuts.search: + e.preventDefault(); + $keyboard_modal.modal('hide'); + $search_modal.modal('show'); + $search_modal.find('#mkdocs-search-query').focus(); + break; + case shortcuts.help: + $search_modal.modal('hide'); + $keyboard_modal.modal('show'); + break; + default: + break; + } + if (page) { + $keyboard_modal.modal('hide'); + window.location.href = page; + } + }); + } + + $('table').addClass('table table-striped table-hover'); + + // Improve the scrollspy behaviour when users click on a TOC item. + $(".bs-sidenav a").on("click", function() { + var clicked = this; + setTimeout(function() { + var active = $('.nav li.active a'); + active = active[active.length - 1]; + if (clicked !== active) { + $(active).parent().removeClass("active"); + $(clicked).parent().addClass("active"); + } + }, 50); + }); +}); + + +/** + * ------------------------------------------------------------------------ + * Taken from themes/mkdocs/js/base.js + * ------------------------------------------------------------------------ + */ + +$('body').scrollspy({ + target: '.bs-sidebar', + offset: 100 +}); + +/* Prevent disabled links from causing a page reload */ +$("li.disabled a").click(function() { + event.preventDefault(); +}); + +// See https://www.cambiaresearch.com/articles/15/javascript-char-codes-key-codes +// We only list common keys below. Obscure keys are omited and their use is discouraged. +var keyCodes = { + 8: 'backspace', + 9: 'tab', + 13: 'enter', + 16: 'shift', + 17: 'ctrl', + 18: 'alt', + 19: 'pause/break', + 20: 'caps lock', + 27: 'escape', + 32: 'spacebar', + 33: 'page up', + 34: 'page down', + 35: 'end', + 36: 'home', + 37: '←', + 38: '↑', + 39: '→', + 40: '↓', + 45: 'insert', + 46: 'delete', + 48: '0', + 49: '1', + 50: '2', + 51: '3', + 52: '4', + 53: '5', + 54: '6', + 55: '7', + 56: '8', + 57: '9', + 65: 'a', + 66: 'b', + 67: 'c', + 68: 'd', + 69: 'e', + 70: 'f', + 71: 'g', + 72: 'h', + 73: 'i', + 74: 'j', + 75: 'k', + 76: 'l', + 77: 'm', + 78: 'n', + 79: 'o', + 80: 'p', + 81: 'q', + 82: 'r', + 83: 's', + 84: 't', + 85: 'u', + 86: 'v', + 87: 'w', + 88: 'x', + 89: 'y', + 90: 'z', + 91: 'Left Windows Key / Left ⌘', + 92: 'Right Windows Key', + 93: 'Windows Menu / Right ⌘', + 96: 'numpad 0', + 97: 'numpad 1', + 98: 'numpad 2', + 99: 'numpad 3', + 100: 'numpad 4', + 101: 'numpad 5', + 102: 'numpad 6', + 103: 'numpad 7', + 104: 'numpad 8', + 105: 'numpad 9', + 106: 'multiply', + 107: 'add', + 109: 'subtract', + 110: 'decimal point', + 111: 'divide', + 112: 'f1', + 113: 'f2', + 114: 'f3', + 115: 'f4', + 116: 'f5', + 117: 'f6', + 118: 'f7', + 119: 'f8', + 120: 'f9', + 121: 'f10', + 122: 'f11', + 123: 'f12', + 124: 'f13', + 125: 'f14', + 126: 'f15', + 127: 'f16', + 128: 'f17', + 129: 'f18', + 130: 'f19', + 131: 'f20', + 132: 'f21', + 133: 'f22', + 134: 'f23', + 135: 'f24', + 144: 'num lock', + 145: 'scroll lock', + 186: ';', + 187: '=', + 188: ',', + 189: '‐', + 190: '.', + 191: '?', + 192: '`', + 219: '[', + 220: '\', + 221: ']', + 222: ''', +}; diff --git a/0.2/js/bootstrap-3.0.3.min.js b/0.2/js/bootstrap-3.0.3.min.js new file mode 100644 index 0000000..1a6258e --- /dev/null +++ b/0.2/js/bootstrap-3.0.3.min.js @@ -0,0 +1,7 @@ +/*! + * Bootstrap v3.0.3 (http://getbootstrap.com) + * Copyright 2013 Twitter, Inc. + * Licensed under http://www.apache.org/licenses/LICENSE-2.0 + */ + 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"tex2jax": { inlineMath: [ [ '$', '$' ] ] } +}); +MathJax.Hub.Config({ + config: ["MMLorHTML.js"], + jax: ["input/TeX", "output/HTML-CSS", "output/NativeMML"], + extensions: ["MathMenu.js", "MathZoom.js"] +}); \ No newline at end of file diff --git a/0.2/search/lunr.js b/0.2/search/lunr.js new file mode 100644 index 0000000..c353765 --- /dev/null +++ b/0.2/search/lunr.js @@ -0,0 +1,3475 @@ +/** + * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.8 + * Copyright (C) 2019 Oliver Nightingale + * @license MIT + */ + +;(function(){ + +/** + * A convenience function for configuring and constructing + * a new lunr Index. + * + * A lunr.Builder instance is created and the pipeline setup + * with a trimmer, stop word filter and stemmer. + * + * This builder object is yielded to the configuration function + * that is passed as a parameter, allowing the list of fields + * and other builder parameters to be customised. + * + * All documents _must_ be added within the passed config function. + * + * @example + * var idx = lunr(function () { + * this.field('title') + * this.field('body') + * this.ref('id') + * + * documents.forEach(function (doc) { + * this.add(doc) + * }, this) + * }) + * + * @see {@link lunr.Builder} + * @see {@link lunr.Pipeline} + * @see {@link lunr.trimmer} + * @see {@link lunr.stopWordFilter} + * @see {@link lunr.stemmer} + * @namespace {function} lunr + */ +var lunr = function (config) { + var builder = new lunr.Builder + + builder.pipeline.add( + lunr.trimmer, + lunr.stopWordFilter, + lunr.stemmer + ) + + builder.searchPipeline.add( + lunr.stemmer + ) + + config.call(builder, builder) + return builder.build() +} + +lunr.version = "2.3.8" +/*! + * lunr.utils + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A namespace containing utils for the rest of the lunr library + * @namespace lunr.utils + */ +lunr.utils = {} + +/** + * Print a warning message to the console. + * + * @param {String} message The message to be printed. + * @memberOf lunr.utils + * @function + */ +lunr.utils.warn = (function (global) { + /* eslint-disable no-console */ + return function (message) { + if (global.console && console.warn) { + console.warn(message) + } + } + /* eslint-enable no-console */ +})(this) + +/** + * Convert an object to a string. + * + * In the case of `null` and `undefined` the function returns + * the empty string, in all other cases the result of calling + * `toString` on the passed object is returned. + * + * @param {Any} obj The object to convert to a string. + * @return {String} string representation of the passed object. + * @memberOf lunr.utils + */ +lunr.utils.asString = function (obj) { + if (obj === void 0 || obj === null) { + return "" + } else { + return obj.toString() + } +} + +/** + * Clones an object. + * + * Will create a copy of an existing object such that any mutations + * on the copy cannot affect the original. + * + * Only shallow objects are supported, passing a nested object to this + * function will cause a TypeError. + * + * Objects with primitives, and arrays of primitives are supported. + * + * @param {Object} obj The object to clone. + * @return {Object} a clone of the passed object. + * @throws {TypeError} when a nested object is passed. + * @memberOf Utils + */ +lunr.utils.clone = function (obj) { + if (obj === null || obj === undefined) { + return obj + } + + var clone = Object.create(null), + keys = Object.keys(obj) + + for (var i = 0; i < keys.length; i++) { + var key = keys[i], + val = obj[key] + + if (Array.isArray(val)) { + clone[key] = val.slice() + continue + } + + if (typeof val === 'string' || + typeof val === 'number' || + typeof val === 'boolean') { + clone[key] = val + continue + } + + throw new TypeError("clone is not deep and does not support nested objects") + } + + return clone +} +lunr.FieldRef = function (docRef, fieldName, stringValue) { + this.docRef = docRef + this.fieldName = fieldName + this._stringValue = stringValue +} + +lunr.FieldRef.joiner = "/" + +lunr.FieldRef.fromString = function (s) { + var n = s.indexOf(lunr.FieldRef.joiner) + + if (n === -1) { + throw "malformed field ref string" + } + + var fieldRef = s.slice(0, n), + docRef = s.slice(n + 1) + + return new lunr.FieldRef (docRef, fieldRef, s) +} + +lunr.FieldRef.prototype.toString = function () { + if (this._stringValue == undefined) { + this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef + } + + return this._stringValue +} +/*! + * lunr.Set + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A lunr set. + * + * @constructor + */ +lunr.Set = function (elements) { + this.elements = Object.create(null) + + if (elements) { + this.length = elements.length + + for (var i = 0; i < this.length; i++) { + this.elements[elements[i]] = true + } + } else { + this.length = 0 + } +} + +/** + * A complete set that contains all elements. + * + * @static + * @readonly + * @type {lunr.Set} + */ +lunr.Set.complete = { + intersect: function (other) { + return other + }, + + union: function (other) { + return other + }, + + contains: function () { + return true + } +} + +/** + * An empty set that contains no elements. + * + * @static + * @readonly + * @type {lunr.Set} + */ +lunr.Set.empty = { + intersect: function () { + return this + }, + + union: function (other) { + return other + }, + + contains: function () { + return false + } +} + +/** + * Returns true if this set contains the specified object. + * + * @param {object} object - Object whose presence in this set is to be tested. + * @returns {boolean} - True if this set contains the specified object. + */ +lunr.Set.prototype.contains = function (object) { + return !!this.elements[object] +} + +/** + * Returns a new set containing only the elements that are present in both + * this set and the specified set. + * + * @param {lunr.Set} other - set to intersect with this set. + * @returns {lunr.Set} a new set that is the intersection of this and the specified set. + */ + +lunr.Set.prototype.intersect = function (other) { + var a, b, elements, intersection = [] + + if (other === lunr.Set.complete) { + return this + } + + if (other === lunr.Set.empty) { + return other + } + + if (this.length < other.length) { + a = this + b = other + } else { + a = other + b = this + } + + elements = Object.keys(a.elements) + + for (var i = 0; i < elements.length; i++) { + var element = elements[i] + if (element in b.elements) { + intersection.push(element) + } + } + + return new lunr.Set (intersection) +} + +/** + * Returns a new set combining the elements of this and the specified set. + * + * @param {lunr.Set} other - set to union with this set. + * @return {lunr.Set} a new set that is the union of this and the specified set. + */ + +lunr.Set.prototype.union = function (other) { + if (other === lunr.Set.complete) { + return lunr.Set.complete + } + + if (other === lunr.Set.empty) { + return this + } + + return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements))) +} +/** + * A function to calculate the inverse document frequency for + * a posting. This is shared between the builder and the index + * + * @private + * @param {object} posting - The posting for a given term + * @param {number} documentCount - The total number of documents. + */ +lunr.idf = function (posting, documentCount) { + var documentsWithTerm = 0 + + for (var fieldName in posting) { + if (fieldName == '_index') continue // Ignore the term index, its not a field + documentsWithTerm += Object.keys(posting[fieldName]).length + } + + var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5) + + return Math.log(1 + Math.abs(x)) +} + +/** + * A token wraps a string representation of a token + * as it is passed through the text processing pipeline. + * + * @constructor + * @param {string} [str=''] - The string token being wrapped. + * @param {object} [metadata={}] - Metadata associated with this token. + */ +lunr.Token = function (str, metadata) { + this.str = str || "" + this.metadata = metadata || {} +} + +/** + * Returns the token string that is being wrapped by this object. + * + * @returns {string} + */ +lunr.Token.prototype.toString = function () { + return this.str +} + +/** + * A token update function is used when updating or optionally + * when cloning a token. + * + * @callback lunr.Token~updateFunction + * @param {string} str - The string representation of the token. + * @param {Object} metadata - All metadata associated with this token. + */ + +/** + * Applies the given function to the wrapped string token. + * + * @example + * token.update(function (str, metadata) { + * return str.toUpperCase() + * }) + * + * @param {lunr.Token~updateFunction} fn - A function to apply to the token string. + * @returns {lunr.Token} + */ +lunr.Token.prototype.update = function (fn) { + this.str = fn(this.str, this.metadata) + return this +} + +/** + * Creates a clone of this token. Optionally a function can be + * applied to the cloned token. + * + * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token. + * @returns {lunr.Token} + */ +lunr.Token.prototype.clone = function (fn) { + fn = fn || function (s) { return s } + return new lunr.Token (fn(this.str, this.metadata), this.metadata) +} +/*! + * lunr.tokenizer + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A function for splitting a string into tokens ready to be inserted into + * the search index. Uses `lunr.tokenizer.separator` to split strings, change + * the value of this property to change how strings are split into tokens. + * + * This tokenizer will convert its parameter to a string by calling `toString` and + * then will split this string on the character in `lunr.tokenizer.separator`. + * Arrays will have their elements converted to strings and wrapped in a lunr.Token. + * + * Optional metadata can be passed to the tokenizer, this metadata will be cloned and + * added as metadata to every token that is created from the object to be tokenized. + * + * @static + * @param {?(string|object|object[])} obj - The object to convert into tokens + * @param {?object} metadata - Optional metadata to associate with every token + * @returns {lunr.Token[]} + * @see {@link lunr.Pipeline} + */ +lunr.tokenizer = function (obj, metadata) { + if (obj == null || obj == undefined) { + return [] + } + + if (Array.isArray(obj)) { + return obj.map(function (t) { + return new lunr.Token( + lunr.utils.asString(t).toLowerCase(), + lunr.utils.clone(metadata) + ) + }) + } + + var str = obj.toString().toLowerCase(), + len = str.length, + tokens = [] + + for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) { + var char = str.charAt(sliceEnd), + sliceLength = sliceEnd - sliceStart + + if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) { + + if (sliceLength > 0) { + var tokenMetadata = lunr.utils.clone(metadata) || {} + tokenMetadata["position"] = [sliceStart, sliceLength] + tokenMetadata["index"] = tokens.length + + tokens.push( + new lunr.Token ( + str.slice(sliceStart, sliceEnd), + tokenMetadata + ) + ) + } + + sliceStart = sliceEnd + 1 + } + + } + + return tokens +} + +/** + * The separator used to split a string into tokens. Override this property to change the behaviour of + * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens. + * + * @static + * @see lunr.tokenizer + */ +lunr.tokenizer.separator = /[\s\-]+/ +/*! + * lunr.Pipeline + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.Pipelines maintain an ordered list of functions to be applied to all + * tokens in documents entering the search index and queries being ran against + * the index. + * + * An instance of lunr.Index created with the lunr shortcut will contain a + * pipeline with a stop word filter and an English language stemmer. Extra + * functions can be added before or after either of these functions or these + * default functions can be removed. + * + * When run the pipeline will call each function in turn, passing a token, the + * index of that token in the original list of all tokens and finally a list of + * all the original tokens. + * + * The output of functions in the pipeline will be passed to the next function + * in the pipeline. To exclude a token from entering the index the function + * should return undefined, the rest of the pipeline will not be called with + * this token. + * + * For serialisation of pipelines to work, all functions used in an instance of + * a pipeline should be registered with lunr.Pipeline. Registered functions can + * then be loaded. If trying to load a serialised pipeline that uses functions + * that are not registered an error will be thrown. + * + * If not planning on serialising the pipeline then registering pipeline functions + * is not necessary. + * + * @constructor + */ +lunr.Pipeline = function () { + this._stack = [] +} + +lunr.Pipeline.registeredFunctions = Object.create(null) + +/** + * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token + * string as well as all known metadata. A pipeline function can mutate the token string + * or mutate (or add) metadata for a given token. + * + * A pipeline function can indicate that the passed token should be discarded by returning + * null, undefined or an empty string. This token will not be passed to any downstream pipeline + * functions and will not be added to the index. + * + * Multiple tokens can be returned by returning an array of tokens. Each token will be passed + * to any downstream pipeline functions and all will returned tokens will be added to the index. + * + * Any number of pipeline functions may be chained together using a lunr.Pipeline. + * + * @interface lunr.PipelineFunction + * @param {lunr.Token} token - A token from the document being processed. + * @param {number} i - The index of this token in the complete list of tokens for this document/field. + * @param {lunr.Token[]} tokens - All tokens for this document/field. + * @returns {(?lunr.Token|lunr.Token[])} + */ + +/** + * Register a function with the pipeline. + * + * Functions that are used in the pipeline should be registered if the pipeline + * needs to be serialised, or a serialised pipeline needs to be loaded. + * + * Registering a function does not add it to a pipeline, functions must still be + * added to instances of the pipeline for them to be used when running a pipeline. + * + * @param {lunr.PipelineFunction} fn - The function to check for. + * @param {String} label - The label to register this function with + */ +lunr.Pipeline.registerFunction = function (fn, label) { + if (label in this.registeredFunctions) { + lunr.utils.warn('Overwriting existing registered function: ' + label) + } + + fn.label = label + lunr.Pipeline.registeredFunctions[fn.label] = fn +} + +/** + * Warns if the function is not registered as a Pipeline function. + * + * @param {lunr.PipelineFunction} fn - The function to check for. + * @private + */ +lunr.Pipeline.warnIfFunctionNotRegistered = function (fn) { + var isRegistered = fn.label && (fn.label in this.registeredFunctions) + + if (!isRegistered) { + lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\n', fn) + } +} + +/** + * Loads a previously serialised pipeline. + * + * All functions to be loaded must already be registered with lunr.Pipeline. + * If any function from the serialised data has not been registered then an + * error will be thrown. + * + * @param {Object} serialised - The serialised pipeline to load. + * @returns {lunr.Pipeline} + */ +lunr.Pipeline.load = function (serialised) { + var pipeline = new lunr.Pipeline + + serialised.forEach(function (fnName) { + var fn = lunr.Pipeline.registeredFunctions[fnName] + + if (fn) { + pipeline.add(fn) + } else { + throw new Error('Cannot load unregistered function: ' + fnName) + } + }) + + return pipeline +} + +/** + * Adds new functions to the end of the pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline. + */ +lunr.Pipeline.prototype.add = function () { + var fns = Array.prototype.slice.call(arguments) + + fns.forEach(function (fn) { + lunr.Pipeline.warnIfFunctionNotRegistered(fn) + this._stack.push(fn) + }, this) +} + +/** + * Adds a single function after a function that already exists in the + * pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. + * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. + */ +lunr.Pipeline.prototype.after = function (existingFn, newFn) { + lunr.Pipeline.warnIfFunctionNotRegistered(newFn) + + var pos = this._stack.indexOf(existingFn) + if (pos == -1) { + throw new Error('Cannot find existingFn') + } + + pos = pos + 1 + this._stack.splice(pos, 0, newFn) +} + +/** + * Adds a single function before a function that already exists in the + * pipeline. + * + * Logs a warning if the function has not been registered. + * + * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline. + * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline. + */ +lunr.Pipeline.prototype.before = function (existingFn, newFn) { + lunr.Pipeline.warnIfFunctionNotRegistered(newFn) + + var pos = this._stack.indexOf(existingFn) + if (pos == -1) { + throw new Error('Cannot find existingFn') + } + + this._stack.splice(pos, 0, newFn) +} + +/** + * Removes a function from the pipeline. + * + * @param {lunr.PipelineFunction} fn The function to remove from the pipeline. + */ +lunr.Pipeline.prototype.remove = function (fn) { + var pos = this._stack.indexOf(fn) + if (pos == -1) { + return + } + + this._stack.splice(pos, 1) +} + +/** + * Runs the current list of functions that make up the pipeline against the + * passed tokens. + * + * @param {Array} tokens The tokens to run through the pipeline. + * @returns {Array} + */ +lunr.Pipeline.prototype.run = function (tokens) { + var stackLength = this._stack.length + + for (var i = 0; i < stackLength; i++) { + var fn = this._stack[i] + var memo = [] + + for (var j = 0; j < tokens.length; j++) { + var result = fn(tokens[j], j, tokens) + + if (result === null || result === void 0 || result === '') continue + + if (Array.isArray(result)) { + for (var k = 0; k < result.length; k++) { + memo.push(result[k]) + } + } else { + memo.push(result) + } + } + + tokens = memo + } + + return tokens +} + +/** + * Convenience method for passing a string through a pipeline and getting + * strings out. This method takes care of wrapping the passed string in a + * token and mapping the resulting tokens back to strings. + * + * @param {string} str - The string to pass through the pipeline. + * @param {?object} metadata - Optional metadata to associate with the token + * passed to the pipeline. + * @returns {string[]} + */ +lunr.Pipeline.prototype.runString = function (str, metadata) { + var token = new lunr.Token (str, metadata) + + return this.run([token]).map(function (t) { + return t.toString() + }) +} + +/** + * Resets the pipeline by removing any existing processors. + * + */ +lunr.Pipeline.prototype.reset = function () { + this._stack = [] +} + +/** + * Returns a representation of the pipeline ready for serialisation. + * + * Logs a warning if the function has not been registered. + * + * @returns {Array} + */ +lunr.Pipeline.prototype.toJSON = function () { + return this._stack.map(function (fn) { + lunr.Pipeline.warnIfFunctionNotRegistered(fn) + + return fn.label + }) +} +/*! + * lunr.Vector + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A vector is used to construct the vector space of documents and queries. These + * vectors support operations to determine the similarity between two documents or + * a document and a query. + * + * Normally no parameters are required for initializing a vector, but in the case of + * loading a previously dumped vector the raw elements can be provided to the constructor. + * + * For performance reasons vectors are implemented with a flat array, where an elements + * index is immediately followed by its value. E.g. [index, value, index, value]. This + * allows the underlying array to be as sparse as possible and still offer decent + * performance when being used for vector calculations. + * + * @constructor + * @param {Number[]} [elements] - The flat list of element index and element value pairs. + */ +lunr.Vector = function (elements) { + this._magnitude = 0 + this.elements = elements || [] +} + + +/** + * Calculates the position within the vector to insert a given index. + * + * This is used internally by insert and upsert. If there are duplicate indexes then + * the position is returned as if the value for that index were to be updated, but it + * is the callers responsibility to check whether there is a duplicate at that index + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @returns {Number} + */ +lunr.Vector.prototype.positionForIndex = function (index) { + // For an empty vector the tuple can be inserted at the beginning + if (this.elements.length == 0) { + return 0 + } + + var start = 0, + end = this.elements.length / 2, + sliceLength = end - start, + pivotPoint = Math.floor(sliceLength / 2), + pivotIndex = this.elements[pivotPoint * 2] + + while (sliceLength > 1) { + if (pivotIndex < index) { + start = pivotPoint + } + + if (pivotIndex > index) { + end = pivotPoint + } + + if (pivotIndex == index) { + break + } + + sliceLength = end - start + pivotPoint = start + Math.floor(sliceLength / 2) + pivotIndex = this.elements[pivotPoint * 2] + } + + if (pivotIndex == index) { + return pivotPoint * 2 + } + + if (pivotIndex > index) { + return pivotPoint * 2 + } + + if (pivotIndex < index) { + return (pivotPoint + 1) * 2 + } +} + +/** + * Inserts an element at an index within the vector. + * + * Does not allow duplicates, will throw an error if there is already an entry + * for this index. + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @param {Number} val - The value to be inserted into the vector. + */ +lunr.Vector.prototype.insert = function (insertIdx, val) { + this.upsert(insertIdx, val, function () { + throw "duplicate index" + }) +} + +/** + * Inserts or updates an existing index within the vector. + * + * @param {Number} insertIdx - The index at which the element should be inserted. + * @param {Number} val - The value to be inserted into the vector. + * @param {function} fn - A function that is called for updates, the existing value and the + * requested value are passed as arguments + */ +lunr.Vector.prototype.upsert = function (insertIdx, val, fn) { + this._magnitude = 0 + var position = this.positionForIndex(insertIdx) + + if (this.elements[position] == insertIdx) { + this.elements[position + 1] = fn(this.elements[position + 1], val) + } else { + this.elements.splice(position, 0, insertIdx, val) + } +} + +/** + * Calculates the magnitude of this vector. + * + * @returns {Number} + */ +lunr.Vector.prototype.magnitude = function () { + if (this._magnitude) return this._magnitude + + var sumOfSquares = 0, + elementsLength = this.elements.length + + for (var i = 1; i < elementsLength; i += 2) { + var val = this.elements[i] + sumOfSquares += val * val + } + + return this._magnitude = Math.sqrt(sumOfSquares) +} + +/** + * Calculates the dot product of this vector and another vector. + * + * @param {lunr.Vector} otherVector - The vector to compute the dot product with. + * @returns {Number} + */ +lunr.Vector.prototype.dot = function (otherVector) { + var dotProduct = 0, + a = this.elements, b = otherVector.elements, + aLen = a.length, bLen = b.length, + aVal = 0, bVal = 0, + i = 0, j = 0 + + while (i < aLen && j < bLen) { + aVal = a[i], bVal = b[j] + if (aVal < bVal) { + i += 2 + } else if (aVal > bVal) { + j += 2 + } else if (aVal == bVal) { + dotProduct += a[i + 1] * b[j + 1] + i += 2 + j += 2 + } + } + + return dotProduct +} + +/** + * Calculates the similarity between this vector and another vector. + * + * @param {lunr.Vector} otherVector - The other vector to calculate the + * similarity with. + * @returns {Number} + */ +lunr.Vector.prototype.similarity = function (otherVector) { + return this.dot(otherVector) / this.magnitude() || 0 +} + +/** + * Converts the vector to an array of the elements within the vector. + * + * @returns {Number[]} + */ +lunr.Vector.prototype.toArray = function () { + var output = new Array (this.elements.length / 2) + + for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) { + output[j] = this.elements[i] + } + + return output +} + +/** + * A JSON serializable representation of the vector. + * + * @returns {Number[]} + */ +lunr.Vector.prototype.toJSON = function () { + return this.elements +} +/* eslint-disable */ +/*! + * lunr.stemmer + * Copyright (C) 2019 Oliver Nightingale + * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt + */ + +/** + * lunr.stemmer is an english language stemmer, this is a JavaScript + * implementation of the PorterStemmer taken from http://tartarus.org/~martin + * + * @static + * @implements {lunr.PipelineFunction} + * @param {lunr.Token} token - The string to stem + * @returns {lunr.Token} + * @see {@link lunr.Pipeline} + * @function + */ +lunr.stemmer = (function(){ + var step2list = { + "ational" : "ate", + "tional" : "tion", + "enci" : "ence", + "anci" : "ance", + "izer" : "ize", + "bli" : "ble", + "alli" : "al", + "entli" : "ent", + "eli" : "e", + "ousli" : "ous", + "ization" : "ize", + "ation" : "ate", + "ator" : "ate", + "alism" : "al", + "iveness" : "ive", + "fulness" : "ful", + "ousness" : "ous", + "aliti" : "al", + "iviti" : "ive", + "biliti" : "ble", + "logi" : "log" + }, + + step3list = { + "icate" : "ic", + "ative" : "", + "alize" : "al", + "iciti" : "ic", + "ical" : "ic", + "ful" : "", + "ness" : "" + }, + + c = "[^aeiou]", // consonant + v = "[aeiouy]", // vowel + C = c + "[^aeiouy]*", // consonant sequence + V = v + "[aeiou]*", // vowel sequence + + mgr0 = "^(" + C + ")?" + V + C, // [C]VC... is m>0 + meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$", // [C]VC[V] is m=1 + mgr1 = "^(" + C + ")?" + V + C + V + C, // [C]VCVC... is m>1 + s_v = "^(" + C + ")?" + v; // vowel in stem + + var re_mgr0 = new RegExp(mgr0); + var re_mgr1 = new RegExp(mgr1); + var re_meq1 = new RegExp(meq1); + var re_s_v = new RegExp(s_v); + + var re_1a = /^(.+?)(ss|i)es$/; + var re2_1a = /^(.+?)([^s])s$/; + var re_1b = /^(.+?)eed$/; + var re2_1b = /^(.+?)(ed|ing)$/; + var re_1b_2 = /.$/; + var re2_1b_2 = /(at|bl|iz)$/; + var re3_1b_2 = new RegExp("([^aeiouylsz])\\1$"); + var re4_1b_2 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + + var re_1c = /^(.+?[^aeiou])y$/; + var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + + var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + + var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + var re2_4 = /^(.+?)(s|t)(ion)$/; + + var re_5 = /^(.+?)e$/; + var re_5_1 = /ll$/; + var re3_5 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + + var porterStemmer = function porterStemmer(w) { + var stem, + suffix, + firstch, + re, + re2, + re3, + re4; + + if (w.length < 3) { return w; } + + firstch = w.substr(0,1); + if (firstch == "y") { + w = firstch.toUpperCase() + w.substr(1); + } + + // Step 1a + re = re_1a + re2 = re2_1a; + + if (re.test(w)) { w = w.replace(re,"$1$2"); } + else if (re2.test(w)) { w = w.replace(re2,"$1$2"); } + + // Step 1b + re = re_1b; + re2 = re2_1b; + if (re.test(w)) { + var fp = re.exec(w); + re = re_mgr0; + if (re.test(fp[1])) { + re = re_1b_2; + w = w.replace(re,""); + } + } else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = re_s_v; + if (re2.test(stem)) { + w = stem; + re2 = re2_1b_2; + re3 = re3_1b_2; + re4 = re4_1b_2; + if (re2.test(w)) { w = w + "e"; } + else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,""); } + else if (re4.test(w)) { w = w + "e"; } + } + } + + // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say) + re = re_1c; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + w = stem + "i"; + } + + // Step 2 + re = re_2; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = re_mgr0; + if (re.test(stem)) { + w = stem + step2list[suffix]; + } + } + + // Step 3 + re = re_3; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = re_mgr0; + if (re.test(stem)) { + w = stem + step3list[suffix]; + } + } + + // Step 4 + re = re_4; + re2 = re2_4; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = re_mgr1; + if (re.test(stem)) { + w = stem; + } + } else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = re_mgr1; + if (re2.test(stem)) { + w = stem; + } + } + + // Step 5 + re = re_5; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = re_mgr1; + re2 = re_meq1; + re3 = re3_5; + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) { + w = stem; + } + } + + re = re_5_1; + re2 = re_mgr1; + if (re.test(w) && re2.test(w)) { + re = re_1b_2; + w = w.replace(re,""); + } + + // and turn initial Y back to y + + if (firstch == "y") { + w = firstch.toLowerCase() + w.substr(1); + } + + return w; + }; + + return function (token) { + return token.update(porterStemmer); + } +})(); + +lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer') +/*! + * lunr.stopWordFilter + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.generateStopWordFilter builds a stopWordFilter function from the provided + * list of stop words. + * + * The built in lunr.stopWordFilter is built using this generator and can be used + * to generate custom stopWordFilters for applications or non English languages. + * + * @function + * @param {Array} token The token to pass through the filter + * @returns {lunr.PipelineFunction} + * @see lunr.Pipeline + * @see lunr.stopWordFilter + */ +lunr.generateStopWordFilter = function (stopWords) { + var words = stopWords.reduce(function (memo, stopWord) { + memo[stopWord] = stopWord + return memo + }, {}) + + return function (token) { + if (token && words[token.toString()] !== token.toString()) return token + } +} + +/** + * lunr.stopWordFilter is an English language stop word list filter, any words + * contained in the list will not be passed through the filter. + * + * This is intended to be used in the Pipeline. If the token does not pass the + * filter then undefined will be returned. + * + * @function + * @implements {lunr.PipelineFunction} + * @params {lunr.Token} token - A token to check for being a stop word. + * @returns {lunr.Token} + * @see {@link lunr.Pipeline} + */ +lunr.stopWordFilter = lunr.generateStopWordFilter([ + 'a', + 'able', + 'about', + 'across', + 'after', + 'all', + 'almost', + 'also', + 'am', + 'among', + 'an', + 'and', + 'any', + 'are', + 'as', + 'at', + 'be', + 'because', + 'been', + 'but', + 'by', + 'can', + 'cannot', + 'could', + 'dear', + 'did', + 'do', + 'does', + 'either', + 'else', + 'ever', + 'every', + 'for', + 'from', + 'get', + 'got', + 'had', + 'has', + 'have', + 'he', + 'her', + 'hers', + 'him', + 'his', + 'how', + 'however', + 'i', + 'if', + 'in', + 'into', + 'is', + 'it', + 'its', + 'just', + 'least', + 'let', + 'like', + 'likely', + 'may', + 'me', + 'might', + 'most', + 'must', + 'my', + 'neither', + 'no', + 'nor', + 'not', + 'of', + 'off', + 'often', + 'on', + 'only', + 'or', + 'other', + 'our', + 'own', + 'rather', + 'said', + 'say', + 'says', + 'she', + 'should', + 'since', + 'so', + 'some', + 'than', + 'that', + 'the', + 'their', + 'them', + 'then', + 'there', + 'these', + 'they', + 'this', + 'tis', + 'to', + 'too', + 'twas', + 'us', + 'wants', + 'was', + 'we', + 'were', + 'what', + 'when', + 'where', + 'which', + 'while', + 'who', + 'whom', + 'why', + 'will', + 'with', + 'would', + 'yet', + 'you', + 'your' +]) + +lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter') +/*! + * lunr.trimmer + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.trimmer is a pipeline function for trimming non word + * characters from the beginning and end of tokens before they + * enter the index. + * + * This implementation may not work correctly for non latin + * characters and should either be removed or adapted for use + * with languages with non-latin characters. + * + * @static + * @implements {lunr.PipelineFunction} + * @param {lunr.Token} token The token to pass through the filter + * @returns {lunr.Token} + * @see lunr.Pipeline + */ +lunr.trimmer = function (token) { + return token.update(function (s) { + return s.replace(/^\W+/, '').replace(/\W+$/, '') + }) +} + +lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer') +/*! + * lunr.TokenSet + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * A token set is used to store the unique list of all tokens + * within an index. Token sets are also used to represent an + * incoming query to the index, this query token set and index + * token set are then intersected to find which tokens to look + * up in the inverted index. + * + * A token set can hold multiple tokens, as in the case of the + * index token set, or it can hold a single token as in the + * case of a simple query token set. + * + * Additionally token sets are used to perform wildcard matching. + * Leading, contained and trailing wildcards are supported, and + * from this edit distance matching can also be provided. + * + * Token sets are implemented as a minimal finite state automata, + * where both common prefixes and suffixes are shared between tokens. + * This helps to reduce the space used for storing the token set. + * + * @constructor + */ +lunr.TokenSet = function () { + this.final = false + this.edges = {} + this.id = lunr.TokenSet._nextId + lunr.TokenSet._nextId += 1 +} + +/** + * Keeps track of the next, auto increment, identifier to assign + * to a new tokenSet. + * + * TokenSets require a unique identifier to be correctly minimised. + * + * @private + */ +lunr.TokenSet._nextId = 1 + +/** + * Creates a TokenSet instance from the given sorted array of words. + * + * @param {String[]} arr - A sorted array of strings to create the set from. + * @returns {lunr.TokenSet} + * @throws Will throw an error if the input array is not sorted. + */ +lunr.TokenSet.fromArray = function (arr) { + var builder = new lunr.TokenSet.Builder + + for (var i = 0, len = arr.length; i < len; i++) { + builder.insert(arr[i]) + } + + builder.finish() + return builder.root +} + +/** + * Creates a token set from a query clause. + * + * @private + * @param {Object} clause - A single clause from lunr.Query. + * @param {string} clause.term - The query clause term. + * @param {number} [clause.editDistance] - The optional edit distance for the term. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.fromClause = function (clause) { + if ('editDistance' in clause) { + return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance) + } else { + return lunr.TokenSet.fromString(clause.term) + } +} + +/** + * Creates a token set representing a single string with a specified + * edit distance. + * + * Insertions, deletions, substitutions and transpositions are each + * treated as an edit distance of 1. + * + * Increasing the allowed edit distance will have a dramatic impact + * on the performance of both creating and intersecting these TokenSets. + * It is advised to keep the edit distance less than 3. + * + * @param {string} str - The string to create the token set from. + * @param {number} editDistance - The allowed edit distance to match. + * @returns {lunr.Vector} + */ +lunr.TokenSet.fromFuzzyString = function (str, editDistance) { + var root = new lunr.TokenSet + + var stack = [{ + node: root, + editsRemaining: editDistance, + str: str + }] + + while (stack.length) { + var frame = stack.pop() + + // no edit + if (frame.str.length > 0) { + var char = frame.str.charAt(0), + noEditNode + + if (char in frame.node.edges) { + noEditNode = frame.node.edges[char] + } else { + noEditNode = new lunr.TokenSet + frame.node.edges[char] = noEditNode + } + + if (frame.str.length == 1) { + noEditNode.final = true + } + + stack.push({ + node: noEditNode, + editsRemaining: frame.editsRemaining, + str: frame.str.slice(1) + }) + } + + if (frame.editsRemaining == 0) { + continue + } + + // insertion + if ("*" in frame.node.edges) { + var insertionNode = frame.node.edges["*"] + } else { + var insertionNode = new lunr.TokenSet + frame.node.edges["*"] = insertionNode + } + + if (frame.str.length == 0) { + insertionNode.final = true + } + + stack.push({ + node: insertionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str + }) + + // deletion + // can only do a deletion if we have enough edits remaining + // and if there are characters left to delete in the string + if (frame.str.length > 1) { + stack.push({ + node: frame.node, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + + // deletion + // just removing the last character from the str + if (frame.str.length == 1) { + frame.node.final = true + } + + // substitution + // can only do a substitution if we have enough edits remaining + // and if there are characters left to substitute + if (frame.str.length >= 1) { + if ("*" in frame.node.edges) { + var substitutionNode = frame.node.edges["*"] + } else { + var substitutionNode = new lunr.TokenSet + frame.node.edges["*"] = substitutionNode + } + + if (frame.str.length == 1) { + substitutionNode.final = true + } + + stack.push({ + node: substitutionNode, + editsRemaining: frame.editsRemaining - 1, + str: frame.str.slice(1) + }) + } + + // transposition + // can only do a transposition if there are edits remaining + // and there are enough characters to transpose + if (frame.str.length > 1) { + var charA = frame.str.charAt(0), + charB = frame.str.charAt(1), + transposeNode + + if (charB in frame.node.edges) { + transposeNode = frame.node.edges[charB] + } else { + transposeNode = new lunr.TokenSet + frame.node.edges[charB] = transposeNode + } + + if (frame.str.length == 1) { + transposeNode.final = true + } + + stack.push({ + node: transposeNode, + editsRemaining: frame.editsRemaining - 1, + str: charA + frame.str.slice(2) + }) + } + } + + return root +} + +/** + * Creates a TokenSet from a string. + * + * The string may contain one or more wildcard characters (*) + * that will allow wildcard matching when intersecting with + * another TokenSet. + * + * @param {string} str - The string to create a TokenSet from. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.fromString = function (str) { + var node = new lunr.TokenSet, + root = node + + /* + * Iterates through all characters within the passed string + * appending a node for each character. + * + * When a wildcard character is found then a self + * referencing edge is introduced to continually match + * any number of any characters. + */ + for (var i = 0, len = str.length; i < len; i++) { + var char = str[i], + final = (i == len - 1) + + if (char == "*") { + node.edges[char] = node + node.final = final + + } else { + var next = new lunr.TokenSet + next.final = final + + node.edges[char] = next + node = next + } + } + + return root +} + +/** + * Converts this TokenSet into an array of strings + * contained within the TokenSet. + * + * This is not intended to be used on a TokenSet that + * contains wildcards, in these cases the results are + * undefined and are likely to cause an infinite loop. + * + * @returns {string[]} + */ +lunr.TokenSet.prototype.toArray = function () { + var words = [] + + var stack = [{ + prefix: "", + node: this + }] + + while (stack.length) { + var frame = stack.pop(), + edges = Object.keys(frame.node.edges), + len = edges.length + + if (frame.node.final) { + /* In Safari, at this point the prefix is sometimes corrupted, see: + * https://github.com/olivernn/lunr.js/issues/279 Calling any + * String.prototype method forces Safari to "cast" this string to what + * it's supposed to be, fixing the bug. */ + frame.prefix.charAt(0) + words.push(frame.prefix) + } + + for (var i = 0; i < len; i++) { + var edge = edges[i] + + stack.push({ + prefix: frame.prefix.concat(edge), + node: frame.node.edges[edge] + }) + } + } + + return words +} + +/** + * Generates a string representation of a TokenSet. + * + * This is intended to allow TokenSets to be used as keys + * in objects, largely to aid the construction and minimisation + * of a TokenSet. As such it is not designed to be a human + * friendly representation of the TokenSet. + * + * @returns {string} + */ +lunr.TokenSet.prototype.toString = function () { + // NOTE: Using Object.keys here as this.edges is very likely + // to enter 'hash-mode' with many keys being added + // + // avoiding a for-in loop here as it leads to the function + // being de-optimised (at least in V8). From some simple + // benchmarks the performance is comparable, but allowing + // V8 to optimize may mean easy performance wins in the future. + + if (this._str) { + return this._str + } + + var str = this.final ? '1' : '0', + labels = Object.keys(this.edges).sort(), + len = labels.length + + for (var i = 0; i < len; i++) { + var label = labels[i], + node = this.edges[label] + + str = str + label + node.id + } + + return str +} + +/** + * Returns a new TokenSet that is the intersection of + * this TokenSet and the passed TokenSet. + * + * This intersection will take into account any wildcards + * contained within the TokenSet. + * + * @param {lunr.TokenSet} b - An other TokenSet to intersect with. + * @returns {lunr.TokenSet} + */ +lunr.TokenSet.prototype.intersect = function (b) { + var output = new lunr.TokenSet, + frame = undefined + + var stack = [{ + qNode: b, + output: output, + node: this + }] + + while (stack.length) { + frame = stack.pop() + + // NOTE: As with the #toString method, we are using + // Object.keys and a for loop instead of a for-in loop + // as both of these objects enter 'hash' mode, causing + // the function to be de-optimised in V8 + var qEdges = Object.keys(frame.qNode.edges), + qLen = qEdges.length, + nEdges = Object.keys(frame.node.edges), + nLen = nEdges.length + + for (var q = 0; q < qLen; q++) { + var qEdge = qEdges[q] + + for (var n = 0; n < nLen; n++) { + var nEdge = nEdges[n] + + if (nEdge == qEdge || qEdge == '*') { + var node = frame.node.edges[nEdge], + qNode = frame.qNode.edges[qEdge], + final = node.final && qNode.final, + next = undefined + + if (nEdge in frame.output.edges) { + // an edge already exists for this character + // no need to create a new node, just set the finality + // bit unless this node is already final + next = frame.output.edges[nEdge] + next.final = next.final || final + + } else { + // no edge exists yet, must create one + // set the finality bit and insert it + // into the output + next = new lunr.TokenSet + next.final = final + frame.output.edges[nEdge] = next + } + + stack.push({ + qNode: qNode, + output: next, + node: node + }) + } + } + } + } + + return output +} +lunr.TokenSet.Builder = function () { + this.previousWord = "" + this.root = new lunr.TokenSet + this.uncheckedNodes = [] + this.minimizedNodes = {} +} + +lunr.TokenSet.Builder.prototype.insert = function (word) { + var node, + commonPrefix = 0 + + if (word < this.previousWord) { + throw new Error ("Out of order word insertion") + } + + for (var i = 0; i < word.length && i < this.previousWord.length; i++) { + if (word[i] != this.previousWord[i]) break + commonPrefix++ + } + + this.minimize(commonPrefix) + + if (this.uncheckedNodes.length == 0) { + node = this.root + } else { + node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child + } + + for (var i = commonPrefix; i < word.length; i++) { + var nextNode = new lunr.TokenSet, + char = word[i] + + node.edges[char] = nextNode + + this.uncheckedNodes.push({ + parent: node, + char: char, + child: nextNode + }) + + node = nextNode + } + + node.final = true + this.previousWord = word +} + +lunr.TokenSet.Builder.prototype.finish = function () { + this.minimize(0) +} + +lunr.TokenSet.Builder.prototype.minimize = function (downTo) { + for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) { + var node = this.uncheckedNodes[i], + childKey = node.child.toString() + + if (childKey in this.minimizedNodes) { + node.parent.edges[node.char] = this.minimizedNodes[childKey] + } else { + // Cache the key for this node since + // we know it can't change anymore + node.child._str = childKey + + this.minimizedNodes[childKey] = node.child + } + + this.uncheckedNodes.pop() + } +} +/*! + * lunr.Index + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * An index contains the built index of all documents and provides a query interface + * to the index. + * + * Usually instances of lunr.Index will not be created using this constructor, instead + * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be + * used to load previously built and serialized indexes. + * + * @constructor + * @param {Object} attrs - The attributes of the built search index. + * @param {Object} attrs.invertedIndex - An index of term/field to document reference. + * @param {Object} attrs.fieldVectors - Field vectors + * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens. + * @param {string[]} attrs.fields - The names of indexed document fields. + * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms. + */ +lunr.Index = function (attrs) { + this.invertedIndex = attrs.invertedIndex + this.fieldVectors = attrs.fieldVectors + this.tokenSet = attrs.tokenSet + this.fields = attrs.fields + this.pipeline = attrs.pipeline +} + +/** + * A result contains details of a document matching a search query. + * @typedef {Object} lunr.Index~Result + * @property {string} ref - The reference of the document this result represents. + * @property {number} score - A number between 0 and 1 representing how similar this document is to the query. + * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match. + */ + +/** + * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple + * query language which itself is parsed into an instance of lunr.Query. + * + * For programmatically building queries it is advised to directly use lunr.Query, the query language + * is best used for human entered text rather than program generated text. + * + * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported + * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello' + * or 'world', though those that contain both will rank higher in the results. + * + * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can + * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding + * wildcards will increase the number of documents that will be found but can also have a negative + * impact on query performance, especially with wildcards at the beginning of a term. + * + * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term + * hello in the title field will match this query. Using a field not present in the index will lead + * to an error being thrown. + * + * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term + * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported + * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2. + * Avoid large values for edit distance to improve query performance. + * + * Each term also supports a presence modifier. By default a term's presence in document is optional, however + * this can be changed to either required or prohibited. For a term's presence to be required in a document the + * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and + * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not + * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'. + * + * To escape special characters the backslash character '\' can be used, this allows searches to include + * characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead + * of attempting to apply a boost of 2 to the search term "foo". + * + * @typedef {string} lunr.Index~QueryString + * @example Simple single term query + * hello + * @example Multiple term query + * hello world + * @example term scoped to a field + * title:hello + * @example term with a boost of 10 + * hello^10 + * @example term with an edit distance of 2 + * hello~2 + * @example terms with presence modifiers + * -foo +bar baz + */ + +/** + * Performs a search against the index using lunr query syntax. + * + * Results will be returned sorted by their score, the most relevant results + * will be returned first. For details on how the score is calculated, please see + * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}. + * + * For more programmatic querying use lunr.Index#query. + * + * @param {lunr.Index~QueryString} queryString - A string containing a lunr query. + * @throws {lunr.QueryParseError} If the passed query string cannot be parsed. + * @returns {lunr.Index~Result[]} + */ +lunr.Index.prototype.search = function (queryString) { + return this.query(function (query) { + var parser = new lunr.QueryParser(queryString, query) + parser.parse() + }) +} + +/** + * A query builder callback provides a query object to be used to express + * the query to perform on the index. + * + * @callback lunr.Index~queryBuilder + * @param {lunr.Query} query - The query object to build up. + * @this lunr.Query + */ + +/** + * Performs a query against the index using the yielded lunr.Query object. + * + * If performing programmatic queries against the index, this method is preferred + * over lunr.Index#search so as to avoid the additional query parsing overhead. + * + * A query object is yielded to the supplied function which should be used to + * express the query to be run against the index. + * + * Note that although this function takes a callback parameter it is _not_ an + * asynchronous operation, the callback is just yielded a query object to be + * customized. + * + * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query. + * @returns {lunr.Index~Result[]} + */ +lunr.Index.prototype.query = function (fn) { + // for each query clause + // * process terms + // * expand terms from token set + // * find matching documents and metadata + // * get document vectors + // * score documents + + var query = new lunr.Query(this.fields), + matchingFields = Object.create(null), + queryVectors = Object.create(null), + termFieldCache = Object.create(null), + requiredMatches = Object.create(null), + prohibitedMatches = Object.create(null) + + /* + * To support field level boosts a query vector is created per + * field. An empty vector is eagerly created to support negated + * queries. + */ + for (var i = 0; i < this.fields.length; i++) { + queryVectors[this.fields[i]] = new lunr.Vector + } + + fn.call(query, query) + + for (var i = 0; i < query.clauses.length; i++) { + /* + * Unless the pipeline has been disabled for this term, which is + * the case for terms with wildcards, we need to pass the clause + * term through the search pipeline. A pipeline returns an array + * of processed terms. Pipeline functions may expand the passed + * term, which means we may end up performing multiple index lookups + * for a single query term. + */ + var clause = query.clauses[i], + terms = null, + clauseMatches = lunr.Set.complete + + if (clause.usePipeline) { + terms = this.pipeline.runString(clause.term, { + fields: clause.fields + }) + } else { + terms = [clause.term] + } + + for (var m = 0; m < terms.length; m++) { + var term = terms[m] + + /* + * Each term returned from the pipeline needs to use the same query + * clause object, e.g. the same boost and or edit distance. The + * simplest way to do this is to re-use the clause object but mutate + * its term property. + */ + clause.term = term + + /* + * From the term in the clause we create a token set which will then + * be used to intersect the indexes token set to get a list of terms + * to lookup in the inverted index + */ + var termTokenSet = lunr.TokenSet.fromClause(clause), + expandedTerms = this.tokenSet.intersect(termTokenSet).toArray() + + /* + * If a term marked as required does not exist in the tokenSet it is + * impossible for the search to return any matches. We set all the field + * scoped required matches set to empty and stop examining any further + * clauses. + */ + if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) { + for (var k = 0; k < clause.fields.length; k++) { + var field = clause.fields[k] + requiredMatches[field] = lunr.Set.empty + } + + break + } + + for (var j = 0; j < expandedTerms.length; j++) { + /* + * For each term get the posting and termIndex, this is required for + * building the query vector. + */ + var expandedTerm = expandedTerms[j], + posting = this.invertedIndex[expandedTerm], + termIndex = posting._index + + for (var k = 0; k < clause.fields.length; k++) { + /* + * For each field that this query term is scoped by (by default + * all fields are in scope) we need to get all the document refs + * that have this term in that field. + * + * The posting is the entry in the invertedIndex for the matching + * term from above. + */ + var field = clause.fields[k], + fieldPosting = posting[field], + matchingDocumentRefs = Object.keys(fieldPosting), + termField = expandedTerm + "/" + field, + matchingDocumentsSet = new lunr.Set(matchingDocumentRefs) + + /* + * if the presence of this term is required ensure that the matching + * documents are added to the set of required matches for this clause. + * + */ + if (clause.presence == lunr.Query.presence.REQUIRED) { + clauseMatches = clauseMatches.union(matchingDocumentsSet) + + if (requiredMatches[field] === undefined) { + requiredMatches[field] = lunr.Set.complete + } + } + + /* + * if the presence of this term is prohibited ensure that the matching + * documents are added to the set of prohibited matches for this field, + * creating that set if it does not yet exist. + */ + if (clause.presence == lunr.Query.presence.PROHIBITED) { + if (prohibitedMatches[field] === undefined) { + prohibitedMatches[field] = lunr.Set.empty + } + + prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet) + + /* + * Prohibited matches should not be part of the query vector used for + * similarity scoring and no metadata should be extracted so we continue + * to the next field + */ + continue + } + + /* + * The query field vector is populated using the termIndex found for + * the term and a unit value with the appropriate boost applied. + * Using upsert because there could already be an entry in the vector + * for the term we are working with. In that case we just add the scores + * together. + */ + queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b }) + + /** + * If we've already seen this term, field combo then we've already collected + * the matching documents and metadata, no need to go through all that again + */ + if (termFieldCache[termField]) { + continue + } + + for (var l = 0; l < matchingDocumentRefs.length; l++) { + /* + * All metadata for this term/field/document triple + * are then extracted and collected into an instance + * of lunr.MatchData ready to be returned in the query + * results + */ + var matchingDocumentRef = matchingDocumentRefs[l], + matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field), + metadata = fieldPosting[matchingDocumentRef], + fieldMatch + + if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) { + matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata) + } else { + fieldMatch.add(expandedTerm, field, metadata) + } + + } + + termFieldCache[termField] = true + } + } + } + + /** + * If the presence was required we need to update the requiredMatches field sets. + * We do this after all fields for the term have collected their matches because + * the clause terms presence is required in _any_ of the fields not _all_ of the + * fields. + */ + if (clause.presence === lunr.Query.presence.REQUIRED) { + for (var k = 0; k < clause.fields.length; k++) { + var field = clause.fields[k] + requiredMatches[field] = requiredMatches[field].intersect(clauseMatches) + } + } + } + + /** + * Need to combine the field scoped required and prohibited + * matching documents into a global set of required and prohibited + * matches + */ + var allRequiredMatches = lunr.Set.complete, + allProhibitedMatches = lunr.Set.empty + + for (var i = 0; i < this.fields.length; i++) { + var field = this.fields[i] + + if (requiredMatches[field]) { + allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field]) + } + + if (prohibitedMatches[field]) { + allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field]) + } + } + + var matchingFieldRefs = Object.keys(matchingFields), + results = [], + matches = Object.create(null) + + /* + * If the query is negated (contains only prohibited terms) + * we need to get _all_ fieldRefs currently existing in the + * index. This is only done when we know that the query is + * entirely prohibited terms to avoid any cost of getting all + * fieldRefs unnecessarily. + * + * Additionally, blank MatchData must be created to correctly + * populate the results. + */ + if (query.isNegated()) { + matchingFieldRefs = Object.keys(this.fieldVectors) + + for (var i = 0; i < matchingFieldRefs.length; i++) { + var matchingFieldRef = matchingFieldRefs[i] + var fieldRef = lunr.FieldRef.fromString(matchingFieldRef) + matchingFields[matchingFieldRef] = new lunr.MatchData + } + } + + for (var i = 0; i < matchingFieldRefs.length; i++) { + /* + * Currently we have document fields that match the query, but we + * need to return documents. The matchData and scores are combined + * from multiple fields belonging to the same document. + * + * Scores are calculated by field, using the query vectors created + * above, and combined into a final document score using addition. + */ + var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]), + docRef = fieldRef.docRef + + if (!allRequiredMatches.contains(docRef)) { + continue + } + + if (allProhibitedMatches.contains(docRef)) { + continue + } + + var fieldVector = this.fieldVectors[fieldRef], + score = queryVectors[fieldRef.fieldName].similarity(fieldVector), + docMatch + + if ((docMatch = matches[docRef]) !== undefined) { + docMatch.score += score + docMatch.matchData.combine(matchingFields[fieldRef]) + } else { + var match = { + ref: docRef, + score: score, + matchData: matchingFields[fieldRef] + } + matches[docRef] = match + results.push(match) + } + } + + /* + * Sort the results objects by score, highest first. + */ + return results.sort(function (a, b) { + return b.score - a.score + }) +} + +/** + * Prepares the index for JSON serialization. + * + * The schema for this JSON blob will be described in a + * separate JSON schema file. + * + * @returns {Object} + */ +lunr.Index.prototype.toJSON = function () { + var invertedIndex = Object.keys(this.invertedIndex) + .sort() + .map(function (term) { + return [term, this.invertedIndex[term]] + }, this) + + var fieldVectors = Object.keys(this.fieldVectors) + .map(function (ref) { + return [ref, this.fieldVectors[ref].toJSON()] + }, this) + + return { + version: lunr.version, + fields: this.fields, + fieldVectors: fieldVectors, + invertedIndex: invertedIndex, + pipeline: this.pipeline.toJSON() + } +} + +/** + * Loads a previously serialized lunr.Index + * + * @param {Object} serializedIndex - A previously serialized lunr.Index + * @returns {lunr.Index} + */ +lunr.Index.load = function (serializedIndex) { + var attrs = {}, + fieldVectors = {}, + serializedVectors = serializedIndex.fieldVectors, + invertedIndex = Object.create(null), + serializedInvertedIndex = serializedIndex.invertedIndex, + tokenSetBuilder = new lunr.TokenSet.Builder, + pipeline = lunr.Pipeline.load(serializedIndex.pipeline) + + if (serializedIndex.version != lunr.version) { + lunr.utils.warn("Version mismatch when loading serialised index. Current version of lunr '" + lunr.version + "' does not match serialized index '" + serializedIndex.version + "'") + } + + for (var i = 0; i < serializedVectors.length; i++) { + var tuple = serializedVectors[i], + ref = tuple[0], + elements = tuple[1] + + fieldVectors[ref] = new lunr.Vector(elements) + } + + for (var i = 0; i < serializedInvertedIndex.length; i++) { + var tuple = serializedInvertedIndex[i], + term = tuple[0], + posting = tuple[1] + + tokenSetBuilder.insert(term) + invertedIndex[term] = posting + } + + tokenSetBuilder.finish() + + attrs.fields = serializedIndex.fields + + attrs.fieldVectors = fieldVectors + attrs.invertedIndex = invertedIndex + attrs.tokenSet = tokenSetBuilder.root + attrs.pipeline = pipeline + + return new lunr.Index(attrs) +} +/*! + * lunr.Builder + * Copyright (C) 2019 Oliver Nightingale + */ + +/** + * lunr.Builder performs indexing on a set of documents and + * returns instances of lunr.Index ready for querying. + * + * All configuration of the index is done via the builder, the + * fields to index, the document reference, the text processing + * pipeline and document scoring parameters are all set on the + * builder before indexing. + * + * @constructor + * @property {string} _ref - Internal reference to the document reference field. + * @property {string[]} _fields - Internal reference to the document fields to index. + * @property {object} invertedIndex - The inverted index maps terms to document fields. + * @property {object} documentTermFrequencies - Keeps track of document term frequencies. + * @property {object} documentLengths - Keeps track of the length of documents added to the index. + * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing. + * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing. + * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index. + * @property {number} documentCount - Keeps track of the total number of documents indexed. + * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75. + * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2. + * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space. + * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index. + */ +lunr.Builder = function () { + this._ref = "id" + this._fields = Object.create(null) + this._documents = Object.create(null) + this.invertedIndex = Object.create(null) + this.fieldTermFrequencies = {} + this.fieldLengths = {} + this.tokenizer = lunr.tokenizer + this.pipeline = new lunr.Pipeline + this.searchPipeline = new lunr.Pipeline + this.documentCount = 0 + this._b = 0.75 + this._k1 = 1.2 + this.termIndex = 0 + this.metadataWhitelist = [] +} + +/** + * Sets the document field used as the document reference. Every document must have this field. + * The type of this field in the document should be a string, if it is not a string it will be + * coerced into a string by calling toString. + * + * The default ref is 'id'. + * + * The ref should _not_ be changed during indexing, it should be set before any documents are + * added to the index. Changing it during indexing can lead to inconsistent results. + * + * @param {string} ref - The name of the reference field in the document. + */ +lunr.Builder.prototype.ref = function (ref) { + this._ref = ref +} + +/** + * A function that is used to extract a field from a document. + * + * Lunr expects a field to be at the top level of a document, if however the field + * is deeply nested within a document an extractor function can be used to extract + * the right field for indexing. + * + * @callback fieldExtractor + * @param {object} doc - The document being added to the index. + * @returns {?(string|object|object[])} obj - The object that will be indexed for this field. + * @example Extracting a nested field + * function (doc) { return doc.nested.field } + */ + +/** + * Adds a field to the list of document fields that will be indexed. Every document being + * indexed should have this field. Null values for this field in indexed documents will + * not cause errors but will limit the chance of that document being retrieved by searches. + * + * All fields should be added before adding documents to the index. Adding fields after + * a document has been indexed will have no effect on already indexed documents. + * + * Fields can be boosted at build time. This allows terms within that field to have more + * importance when ranking search results. Use a field boost to specify that matches within + * one field are more important than other fields. + * + * @param {string} fieldName - The name of a field to index in all documents. + * @param {object} attributes - Optional attributes associated with this field. + * @param {number} [attributes.boost=1] - Boost applied to all terms within this field. + * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document. + * @throws {RangeError} fieldName cannot contain unsupported characters '/' + */ +lunr.Builder.prototype.field = function (fieldName, attributes) { + if (/\//.test(fieldName)) { + throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'") + } + + this._fields[fieldName] = attributes || {} +} + +/** + * A parameter to tune the amount of field length normalisation that is applied when + * calculating relevance scores. A value of 0 will completely disable any normalisation + * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b + * will be clamped to the range 0 - 1. + * + * @param {number} number - The value to set for this tuning parameter. + */ +lunr.Builder.prototype.b = function (number) { + if (number < 0) { + this._b = 0 + } else if (number > 1) { + this._b = 1 + } else { + this._b = number + } +} + +/** + * A parameter that controls the speed at which a rise in term frequency results in term + * frequency saturation. The default value is 1.2. Setting this to a higher value will give + * slower saturation levels, a lower value will result in quicker saturation. + * + * @param {number} number - The value to set for this tuning parameter. + */ +lunr.Builder.prototype.k1 = function (number) { + this._k1 = number +} + +/** + * Adds a document to the index. + * + * Before adding fields to the index the index should have been fully setup, with the document + * ref and all fields to index already having been specified. + * + * The document must have a field name as specified by the ref (by default this is 'id') and + * it should have all fields defined for indexing, though null or undefined values will not + * cause errors. + * + * Entire documents can be boosted at build time. Applying a boost to a document indicates that + * this document should rank higher in search results than other documents. + * + * @param {object} doc - The document to add to the index. + * @param {object} attributes - Optional attributes associated with this document. + * @param {number} [attributes.boost=1] - Boost applied to all terms within this document. + */ +lunr.Builder.prototype.add = function (doc, attributes) { + var docRef = doc[this._ref], + fields = Object.keys(this._fields) + + this._documents[docRef] = attributes || {} + this.documentCount += 1 + + for (var i = 0; i < fields.length; i++) { + var fieldName = fields[i], + extractor = this._fields[fieldName].extractor, + field = extractor ? extractor(doc) : doc[fieldName], + tokens = this.tokenizer(field, { + fields: [fieldName] + }), + terms = this.pipeline.run(tokens), + fieldRef = new lunr.FieldRef (docRef, fieldName), + fieldTerms = Object.create(null) + + this.fieldTermFrequencies[fieldRef] = fieldTerms + this.fieldLengths[fieldRef] = 0 + + // store the length of this field for this document + this.fieldLengths[fieldRef] += terms.length + + // calculate term frequencies for this field + for (var j = 0; j < terms.length; j++) { + var term = terms[j] + + if (fieldTerms[term] == undefined) { + fieldTerms[term] = 0 + } + + fieldTerms[term] += 1 + + // add to inverted index + // create an initial posting if one doesn't exist + if (this.invertedIndex[term] == undefined) { + var posting = Object.create(null) + posting["_index"] = this.termIndex + this.termIndex += 1 + + for (var k = 0; k < fields.length; k++) { + posting[fields[k]] = Object.create(null) + } + + this.invertedIndex[term] = posting + } + + // add an entry for this term/fieldName/docRef to the invertedIndex + if (this.invertedIndex[term][fieldName][docRef] == undefined) { + this.invertedIndex[term][fieldName][docRef] = Object.create(null) + } + + // store all whitelisted metadata about this token in the + // inverted index + for (var l = 0; l < this.metadataWhitelist.length; l++) { + var metadataKey = this.metadataWhitelist[l], + metadata = term.metadata[metadataKey] + + if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) { + this.invertedIndex[term][fieldName][docRef][metadataKey] = [] + } + + this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata) + } + } + + } +} + +/** + * Calculates the average document length for this index + * + * @private + */ +lunr.Builder.prototype.calculateAverageFieldLengths = function () { + + var fieldRefs = Object.keys(this.fieldLengths), + numberOfFields = fieldRefs.length, + accumulator = {}, + documentsWithField = {} + + for (var i = 0; i < numberOfFields; i++) { + var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), + field = fieldRef.fieldName + + documentsWithField[field] || (documentsWithField[field] = 0) + documentsWithField[field] += 1 + + accumulator[field] || (accumulator[field] = 0) + accumulator[field] += this.fieldLengths[fieldRef] + } + + var fields = Object.keys(this._fields) + + for (var i = 0; i < fields.length; i++) { + var fieldName = fields[i] + accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName] + } + + this.averageFieldLength = accumulator +} + +/** + * Builds a vector space model of every document using lunr.Vector + * + * @private + */ +lunr.Builder.prototype.createFieldVectors = function () { + var fieldVectors = {}, + fieldRefs = Object.keys(this.fieldTermFrequencies), + fieldRefsLength = fieldRefs.length, + termIdfCache = Object.create(null) + + for (var i = 0; i < fieldRefsLength; i++) { + var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]), + fieldName = fieldRef.fieldName, + fieldLength = this.fieldLengths[fieldRef], + fieldVector = new lunr.Vector, + termFrequencies = this.fieldTermFrequencies[fieldRef], + terms = Object.keys(termFrequencies), + termsLength = terms.length + + + var fieldBoost = this._fields[fieldName].boost || 1, + docBoost = this._documents[fieldRef.docRef].boost || 1 + + for (var j = 0; j < termsLength; j++) { + var term = terms[j], + tf = termFrequencies[term], + termIndex = this.invertedIndex[term]._index, + idf, score, scoreWithPrecision + + if (termIdfCache[term] === undefined) { + idf = lunr.idf(this.invertedIndex[term], this.documentCount) + termIdfCache[term] = idf + } else { + idf = termIdfCache[term] + } + + score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf) + score *= fieldBoost + score *= docBoost + scoreWithPrecision = Math.round(score * 1000) / 1000 + // Converts 1.23456789 to 1.234. + // Reducing the precision so that the vectors take up less + // space when serialised. Doing it now so that they behave + // the same before and after serialisation. Also, this is + // the fastest approach to reducing a number's precision in + // JavaScript. + + fieldVector.insert(termIndex, scoreWithPrecision) + } + + fieldVectors[fieldRef] = fieldVector + } + + this.fieldVectors = fieldVectors +} + +/** + * Creates a token set of all tokens in the index using lunr.TokenSet + * + * @private + */ +lunr.Builder.prototype.createTokenSet = function () { + this.tokenSet = lunr.TokenSet.fromArray( + Object.keys(this.invertedIndex).sort() + ) +} + +/** + * Builds the index, creating an instance of lunr.Index. + * + * This completes the indexing process and should only be called + * once all documents have been added to the index. + * + * @returns {lunr.Index} + */ +lunr.Builder.prototype.build = function () { + this.calculateAverageFieldLengths() + this.createFieldVectors() + this.createTokenSet() + + return new lunr.Index({ + invertedIndex: this.invertedIndex, + fieldVectors: this.fieldVectors, + tokenSet: this.tokenSet, + fields: Object.keys(this._fields), + pipeline: this.searchPipeline + }) +} + +/** + * Applies a plugin to the index builder. + * + * A plugin is a function that is called with the index builder as its context. + * Plugins can be used to customise or extend the behaviour of the index + * in some way. A plugin is just a function, that encapsulated the custom + * behaviour that should be applied when building the index. + * + * The plugin function will be called with the index builder as its argument, additional + * arguments can also be passed when calling use. The function will be called + * with the index builder as its context. + * + * @param {Function} plugin The plugin to apply. + */ +lunr.Builder.prototype.use = function (fn) { + var args = Array.prototype.slice.call(arguments, 1) + args.unshift(this) + fn.apply(this, args) +} +/** + * Contains and collects metadata about a matching document. + * A single instance of lunr.MatchData is returned as part of every + * lunr.Index~Result. + * + * @constructor + * @param {string} term - The term this match data is associated with + * @param {string} field - The field in which the term was found + * @param {object} metadata - The metadata recorded about this term in this field + * @property {object} metadata - A cloned collection of metadata associated with this document. + * @see {@link lunr.Index~Result} + */ +lunr.MatchData = function (term, field, metadata) { + var clonedMetadata = Object.create(null), + metadataKeys = Object.keys(metadata || {}) + + // Cloning the metadata to prevent the original + // being mutated during match data combination. + // Metadata is kept in an array within the inverted + // index so cloning the data can be done with + // Array#slice + for (var i = 0; i < metadataKeys.length; i++) { + var key = metadataKeys[i] + clonedMetadata[key] = metadata[key].slice() + } + + this.metadata = Object.create(null) + + if (term !== undefined) { + this.metadata[term] = Object.create(null) + this.metadata[term][field] = clonedMetadata + } +} + +/** + * An instance of lunr.MatchData will be created for every term that matches a + * document. However only one instance is required in a lunr.Index~Result. This + * method combines metadata from another instance of lunr.MatchData with this + * objects metadata. + * + * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one. + * @see {@link lunr.Index~Result} + */ +lunr.MatchData.prototype.combine = function (otherMatchData) { + var terms = Object.keys(otherMatchData.metadata) + + for (var i = 0; i < terms.length; i++) { + var term = terms[i], + fields = Object.keys(otherMatchData.metadata[term]) + + if (this.metadata[term] == undefined) { + this.metadata[term] = Object.create(null) + } + + for (var j = 0; j < fields.length; j++) { + var field = fields[j], + keys = Object.keys(otherMatchData.metadata[term][field]) + + if (this.metadata[term][field] == undefined) { + this.metadata[term][field] = Object.create(null) + } + + for (var k = 0; k < keys.length; k++) { + var key = keys[k] + + if (this.metadata[term][field][key] == undefined) { + this.metadata[term][field][key] = otherMatchData.metadata[term][field][key] + } else { + this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key]) + } + + } + } + } +} + +/** + * Add metadata for a term/field pair to this instance of match data. + * + * @param {string} term - The term this match data is associated with + * @param {string} field - The field in which the term was found + * @param {object} metadata - The metadata recorded about this term in this field + */ +lunr.MatchData.prototype.add = function (term, field, metadata) { + if (!(term in this.metadata)) { + this.metadata[term] = Object.create(null) + this.metadata[term][field] = metadata + return + } + + if (!(field in this.metadata[term])) { + this.metadata[term][field] = metadata + return + } + + var metadataKeys = Object.keys(metadata) + + for (var i = 0; i < metadataKeys.length; i++) { + var key = metadataKeys[i] + + if (key in this.metadata[term][field]) { + this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key]) + } else { + this.metadata[term][field][key] = metadata[key] + } + } +} +/** + * A lunr.Query provides a programmatic way of defining queries to be performed + * against a {@link lunr.Index}. + * + * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method + * so the query object is pre-initialized with the right index fields. + * + * @constructor + * @property {lunr.Query~Clause[]} clauses - An array of query clauses. + * @property {string[]} allFields - An array of all available fields in a lunr.Index. + */ +lunr.Query = function (allFields) { + this.clauses = [] + this.allFields = allFields +} + +/** + * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause. + * + * This allows wildcards to be added to the beginning and end of a term without having to manually do any string + * concatenation. + * + * The wildcard constants can be bitwise combined to select both leading and trailing wildcards. + * + * @constant + * @default + * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour + * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists + * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists + * @see lunr.Query~Clause + * @see lunr.Query#clause + * @see lunr.Query#term + * @example query term with trailing wildcard + * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING }) + * @example query term with leading and trailing wildcard + * query.term('foo', { + * wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING + * }) + */ + +lunr.Query.wildcard = new String ("*") +lunr.Query.wildcard.NONE = 0 +lunr.Query.wildcard.LEADING = 1 +lunr.Query.wildcard.TRAILING = 2 + +/** + * Constants for indicating what kind of presence a term must have in matching documents. + * + * @constant + * @enum {number} + * @see lunr.Query~Clause + * @see lunr.Query#clause + * @see lunr.Query#term + * @example query term with required presence + * query.term('foo', { presence: lunr.Query.presence.REQUIRED }) + */ +lunr.Query.presence = { + /** + * Term's presence in a document is optional, this is the default value. + */ + OPTIONAL: 1, + + /** + * Term's presence in a document is required, documents that do not contain + * this term will not be returned. + */ + REQUIRED: 2, + + /** + * Term's presence in a document is prohibited, documents that do contain + * this term will not be returned. + */ + PROHIBITED: 3 +} + +/** + * A single clause in a {@link lunr.Query} contains a term and details on how to + * match that term against a {@link lunr.Index}. + * + * @typedef {Object} lunr.Query~Clause + * @property {string[]} fields - The fields in an index this clause should be matched against. + * @property {number} [boost=1] - Any boost that should be applied when matching this clause. + * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be. + * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline. + * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended. + * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents. + */ + +/** + * Adds a {@link lunr.Query~Clause} to this query. + * + * Unless the clause contains the fields to be matched all fields will be matched. In addition + * a default boost of 1 is applied to the clause. + * + * @param {lunr.Query~Clause} clause - The clause to add to this query. + * @see lunr.Query~Clause + * @returns {lunr.Query} + */ +lunr.Query.prototype.clause = function (clause) { + if (!('fields' in clause)) { + clause.fields = this.allFields + } + + if (!('boost' in clause)) { + clause.boost = 1 + } + + if (!('usePipeline' in clause)) { + clause.usePipeline = true + } + + if (!('wildcard' in clause)) { + clause.wildcard = lunr.Query.wildcard.NONE + } + + if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) { + clause.term = "*" + clause.term + } + + if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) { + clause.term = "" + clause.term + "*" + } + + if (!('presence' in clause)) { + clause.presence = lunr.Query.presence.OPTIONAL + } + + this.clauses.push(clause) + + return this +} + +/** + * A negated query is one in which every clause has a presence of + * prohibited. These queries require some special processing to return + * the expected results. + * + * @returns boolean + */ +lunr.Query.prototype.isNegated = function () { + for (var i = 0; i < this.clauses.length; i++) { + if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) { + return false + } + } + + return true +} + +/** + * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause} + * to the list of clauses that make up this query. + * + * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion + * to a token or token-like string should be done before calling this method. + * + * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an + * array, each term in the array will share the same options. + * + * @param {object|object[]} term - The term(s) to add to the query. + * @param {object} [options] - Any additional properties to add to the query clause. + * @returns {lunr.Query} + * @see lunr.Query#clause + * @see lunr.Query~Clause + * @example adding a single term to a query + * query.term("foo") + * @example adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard + * query.term("foo", { + * fields: ["title"], + * boost: 10, + * wildcard: lunr.Query.wildcard.TRAILING + * }) + * @example using lunr.tokenizer to convert a string to tokens before using them as terms + * query.term(lunr.tokenizer("foo bar")) + */ +lunr.Query.prototype.term = function (term, options) { + if (Array.isArray(term)) { + term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this) + return this + } + + var clause = options || {} + clause.term = term.toString() + + this.clause(clause) + + return this +} +lunr.QueryParseError = function (message, start, end) { + this.name = "QueryParseError" + this.message = message + this.start = start + this.end = end +} + +lunr.QueryParseError.prototype = new Error +lunr.QueryLexer = function (str) { + this.lexemes = [] + this.str = str + this.length = str.length + this.pos = 0 + this.start = 0 + this.escapeCharPositions = [] +} + +lunr.QueryLexer.prototype.run = function () { + var state = lunr.QueryLexer.lexText + + while (state) { + state = state(this) + } +} + +lunr.QueryLexer.prototype.sliceString = function () { + var subSlices = [], + sliceStart = this.start, + sliceEnd = this.pos + + for (var i = 0; i < this.escapeCharPositions.length; i++) { + sliceEnd = this.escapeCharPositions[i] + subSlices.push(this.str.slice(sliceStart, sliceEnd)) + sliceStart = sliceEnd + 1 + } + + subSlices.push(this.str.slice(sliceStart, this.pos)) + this.escapeCharPositions.length = 0 + + return subSlices.join('') +} + +lunr.QueryLexer.prototype.emit = function (type) { + this.lexemes.push({ + type: type, + str: this.sliceString(), + start: this.start, + end: this.pos + }) + + this.start = this.pos +} + +lunr.QueryLexer.prototype.escapeCharacter = function () { + this.escapeCharPositions.push(this.pos - 1) + this.pos += 1 +} + +lunr.QueryLexer.prototype.next = function () { + if (this.pos >= this.length) { + return lunr.QueryLexer.EOS + } + + var char = this.str.charAt(this.pos) + this.pos += 1 + return char +} + +lunr.QueryLexer.prototype.width = function () { + return this.pos - this.start +} + +lunr.QueryLexer.prototype.ignore = function () { + if (this.start == this.pos) { + this.pos += 1 + } + + this.start = this.pos +} + +lunr.QueryLexer.prototype.backup = function () { + this.pos -= 1 +} + +lunr.QueryLexer.prototype.acceptDigitRun = function () { + var char, charCode + + do { + char = this.next() + charCode = char.charCodeAt(0) + } while (charCode > 47 && charCode < 58) + + if (char != lunr.QueryLexer.EOS) { + this.backup() + } +} + +lunr.QueryLexer.prototype.more = function () { + return this.pos < this.length +} + +lunr.QueryLexer.EOS = 'EOS' +lunr.QueryLexer.FIELD = 'FIELD' +lunr.QueryLexer.TERM = 'TERM' +lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE' +lunr.QueryLexer.BOOST = 'BOOST' +lunr.QueryLexer.PRESENCE = 'PRESENCE' + +lunr.QueryLexer.lexField = function (lexer) { + lexer.backup() + lexer.emit(lunr.QueryLexer.FIELD) + lexer.ignore() + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexTerm = function (lexer) { + if (lexer.width() > 1) { + lexer.backup() + lexer.emit(lunr.QueryLexer.TERM) + } + + lexer.ignore() + + if (lexer.more()) { + return lunr.QueryLexer.lexText + } +} + +lunr.QueryLexer.lexEditDistance = function (lexer) { + lexer.ignore() + lexer.acceptDigitRun() + lexer.emit(lunr.QueryLexer.EDIT_DISTANCE) + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexBoost = function (lexer) { + lexer.ignore() + lexer.acceptDigitRun() + lexer.emit(lunr.QueryLexer.BOOST) + return lunr.QueryLexer.lexText +} + +lunr.QueryLexer.lexEOS = function (lexer) { + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } +} + +// This matches the separator used when tokenising fields +// within a document. These should match otherwise it is +// not possible to search for some tokens within a document. +// +// It is possible for the user to change the separator on the +// tokenizer so it _might_ clash with any other of the special +// characters already used within the search string, e.g. :. +// +// This means that it is possible to change the separator in +// such a way that makes some words unsearchable using a search +// string. +lunr.QueryLexer.termSeparator = lunr.tokenizer.separator + +lunr.QueryLexer.lexText = function (lexer) { + while (true) { + var char = lexer.next() + + if (char == lunr.QueryLexer.EOS) { + return lunr.QueryLexer.lexEOS + } + + // Escape character is '\' + if (char.charCodeAt(0) == 92) { + lexer.escapeCharacter() + continue + } + + if (char == ":") { + return lunr.QueryLexer.lexField + } + + if (char == "~") { + lexer.backup() + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } + return lunr.QueryLexer.lexEditDistance + } + + if (char == "^") { + lexer.backup() + if (lexer.width() > 0) { + lexer.emit(lunr.QueryLexer.TERM) + } + return lunr.QueryLexer.lexBoost + } + + // "+" indicates term presence is required + // checking for length to ensure that only + // leading "+" are considered + if (char == "+" && lexer.width() === 1) { + lexer.emit(lunr.QueryLexer.PRESENCE) + return lunr.QueryLexer.lexText + } + + // "-" indicates term presence is prohibited + // checking for length to ensure that only + // leading "-" are considered + if (char == "-" && lexer.width() === 1) { + lexer.emit(lunr.QueryLexer.PRESENCE) + return lunr.QueryLexer.lexText + } + + if (char.match(lunr.QueryLexer.termSeparator)) { + return lunr.QueryLexer.lexTerm + } + } +} + +lunr.QueryParser = function (str, query) { + this.lexer = new lunr.QueryLexer (str) + this.query = query + this.currentClause = {} + this.lexemeIdx = 0 +} + +lunr.QueryParser.prototype.parse = function () { + this.lexer.run() + this.lexemes = this.lexer.lexemes + + var state = lunr.QueryParser.parseClause + + while (state) { + state = state(this) + } + + return this.query +} + +lunr.QueryParser.prototype.peekLexeme = function () { + return this.lexemes[this.lexemeIdx] +} + +lunr.QueryParser.prototype.consumeLexeme = function () { + var lexeme = this.peekLexeme() + this.lexemeIdx += 1 + return lexeme +} + +lunr.QueryParser.prototype.nextClause = function () { + var completedClause = this.currentClause + this.query.clause(completedClause) + this.currentClause = {} +} + +lunr.QueryParser.parseClause = function (parser) { + var lexeme = parser.peekLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.type) { + case lunr.QueryLexer.PRESENCE: + return lunr.QueryParser.parsePresence + case lunr.QueryLexer.FIELD: + return lunr.QueryParser.parseField + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expected either a field or a term, found " + lexeme.type + + if (lexeme.str.length >= 1) { + errorMessage += " with value '" + lexeme.str + "'" + } + + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } +} + +lunr.QueryParser.parsePresence = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + switch (lexeme.str) { + case "-": + parser.currentClause.presence = lunr.Query.presence.PROHIBITED + break + case "+": + parser.currentClause.presence = lunr.Query.presence.REQUIRED + break + default: + var errorMessage = "unrecognised presence operator'" + lexeme.str + "'" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + var errorMessage = "expecting term or field, found nothing" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.FIELD: + return lunr.QueryParser.parseField + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseField = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + if (parser.query.allFields.indexOf(lexeme.str) == -1) { + var possibleFields = parser.query.allFields.map(function (f) { return "'" + f + "'" }).join(', '), + errorMessage = "unrecognised field '" + lexeme.str + "', possible fields: " + possibleFields + + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.fields = [lexeme.str] + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + var errorMessage = "expecting term, found nothing" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + return lunr.QueryParser.parseTerm + default: + var errorMessage = "expecting term, found '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseTerm = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + parser.currentClause.term = lexeme.str.toLowerCase() + + if (lexeme.str.indexOf("*") != -1) { + parser.currentClause.usePipeline = false + } + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseEditDistance = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + var editDistance = parseInt(lexeme.str, 10) + + if (isNaN(editDistance)) { + var errorMessage = "edit distance must be numeric" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.editDistance = editDistance + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + +lunr.QueryParser.parseBoost = function (parser) { + var lexeme = parser.consumeLexeme() + + if (lexeme == undefined) { + return + } + + var boost = parseInt(lexeme.str, 10) + + if (isNaN(boost)) { + var errorMessage = "boost must be numeric" + throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end) + } + + parser.currentClause.boost = boost + + var nextLexeme = parser.peekLexeme() + + if (nextLexeme == undefined) { + parser.nextClause() + return + } + + switch (nextLexeme.type) { + case lunr.QueryLexer.TERM: + parser.nextClause() + return lunr.QueryParser.parseTerm + case lunr.QueryLexer.FIELD: + parser.nextClause() + return lunr.QueryParser.parseField + case lunr.QueryLexer.EDIT_DISTANCE: + return lunr.QueryParser.parseEditDistance + case lunr.QueryLexer.BOOST: + return lunr.QueryParser.parseBoost + case lunr.QueryLexer.PRESENCE: + parser.nextClause() + return lunr.QueryParser.parsePresence + default: + var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'" + throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end) + } +} + + /** + * export the module via AMD, CommonJS or as a browser global + * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js + */ + ;(function (root, factory) { + if (typeof define === 'function' && define.amd) { + // AMD. Register as an anonymous module. + define(factory) + } else if (typeof exports === 'object') { + /** + * Node. Does not work with strict CommonJS, but + * only CommonJS-like enviroments that support module.exports, + * like Node. + */ + module.exports = factory() + } else { + // Browser globals (root is window) + root.lunr = factory() + } + }(this, function () { + /** + * Just return a value to define the module export. + * This example returns an object, but the module + * can return a function as the exported value. + */ + return lunr + })) +})(); diff --git a/0.2/search/main.js b/0.2/search/main.js new file mode 100644 index 0000000..0e1fc81 --- /dev/null +++ b/0.2/search/main.js @@ -0,0 +1,98 @@ +function getSearchTermFromLocation() { + var sPageURL = window.location.search.substring(1); + var sURLVariables = sPageURL.split('&'); + for (var i = 0; i < sURLVariables.length; i++) { + var sParameterName = sURLVariables[i].split('='); + if (sParameterName[0] == 'q') { + return decodeURIComponent(sParameterName[1].replace(/\+/g, '%20')); + } + } +} + +function joinUrl (base, path) { + if (path.substring(0, 1) === "/") { + // path starts with `/`. Thus it is absolute. + return path; + } + if (base.substring(base.length-1) === "/") { + // base ends with `/` + return base + path; + } + return base + "/" + path; +} + +function formatResult (location, title, summary) { + return ''; +} + +function displayResults (results) { + var search_results = document.getElementById("mkdocs-search-results"); + while (search_results.firstChild) { + search_results.removeChild(search_results.firstChild); + } + if (results.length > 0){ + for (var i=0; i < results.length; i++){ + var result = results[i]; + var html = formatResult(result.location, result.title, result.summary); + search_results.insertAdjacentHTML('beforeend', html); + } + } else { + search_results.insertAdjacentHTML('beforeend', "

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The package provides benchmark instances for the problem and Julia/JuMP implementations of state-of-the-art mixed-integer programming formulations. Package Components Data Format: The package proposes an extensible and fully-documented JSON-based data specification format for SCUC, developed in collaboration with Independent System Operators (ISOs), which describes the most important aspects of the problem. The format supports all the most common generator characteristics (including ramping, piecewise-linear production cost curves and time-dependent startup costs), as well as operating reserves, price-sensitive loads, transmission networks and contingencies. Benchmark Instances: The package provides a diverse collection of large-scale benchmark instances collected from the literature and extended to make them more challenging and realistic. Model Implementation : The package provides a Julia/JuMP implementation of state-of-the-art formulations and solution methods for SCUC. Our goal is to keep this implementation up-to-date, as new methods are proposed in the literature. Benchmark Tools: The package provides automated benchmark scripts to accurately evaluate the performance impact of proposed code changes. Documentation Usage Data Format Instances Source code https://github.com/ANL-CEEESA/unitcommitment.jl Authors Alinson Santos Xavier (Argonne National Laboratory) Feng Qiu (Argonne National Laboratory) Acknowledgments We would like to thank Aleksandr M. Kazachkov (University of Florida), Yonghong Chen (Midcontinent Independent System Operator), Feng Pan (Pacific Northwest National Laboratory) for valuable feedback on early versions of this package. Based upon work supported by Laboratory Directed Research and Development (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357. Citing If you use UnitCommitment.jl in your research, we request that you cite the package as follows: Alinson S. Xavier, Feng Qiu, \"UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment\". Zenodo (2020). DOI: 10.5281/zenodo.4269874 . If you make use of the provided instances files, we request that you additionally cite the original sources, as described in the instances page . License Released under the modified BSD license. See LICENSE.md for more details.","title":"Home"},{"location":"#unitcommitmentjl","text":"UnitCommitment.jl (UC.jl) is a Julia optimization package for the Security-Constrained Unit Commitment Problem (SCUC), a fundamental optimization problem in power systems used, for example, to clear the day-ahead electricity markets. The package provides benchmark instances for the problem and Julia/JuMP implementations of state-of-the-art mixed-integer programming formulations.","title":"UnitCommitment.jl"},{"location":"#package-components","text":"Data Format: The package proposes an extensible and fully-documented JSON-based data specification format for SCUC, developed in collaboration with Independent System Operators (ISOs), which describes the most important aspects of the problem. The format supports all the most common generator characteristics (including ramping, piecewise-linear production cost curves and time-dependent startup costs), as well as operating reserves, price-sensitive loads, transmission networks and contingencies. Benchmark Instances: The package provides a diverse collection of large-scale benchmark instances collected from the literature and extended to make them more challenging and realistic. Model Implementation : The package provides a Julia/JuMP implementation of state-of-the-art formulations and solution methods for SCUC. Our goal is to keep this implementation up-to-date, as new methods are proposed in the literature. Benchmark Tools: The package provides automated benchmark scripts to accurately evaluate the performance impact of proposed code changes.","title":"Package Components"},{"location":"#documentation","text":"Usage Data Format Instances","title":"Documentation"},{"location":"#source-code","text":"https://github.com/ANL-CEEESA/unitcommitment.jl","title":"Source code"},{"location":"#authors","text":"Alinson Santos Xavier (Argonne National Laboratory) Feng Qiu (Argonne National Laboratory)","title":"Authors"},{"location":"#acknowledgments","text":"We would like to thank Aleksandr M. Kazachkov (University of Florida), Yonghong Chen (Midcontinent Independent System Operator), Feng Pan (Pacific Northwest National Laboratory) for valuable feedback on early versions of this package. Based upon work supported by Laboratory Directed Research and Development (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract No. DE-AC02-06CH11357.","title":"Acknowledgments"},{"location":"#citing","text":"If you use UnitCommitment.jl in your research, we request that you cite the package as follows: Alinson S. Xavier, Feng Qiu, \"UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment\". Zenodo (2020). DOI: 10.5281/zenodo.4269874 . If you make use of the provided instances files, we request that you additionally cite the original sources, as described in the instances page .","title":"Citing"},{"location":"#license","text":"Released under the modified BSD license. See LICENSE.md for more details.","title":"License"},{"location":"format/","text":"Data Format 1. Input Data Format Instances are specified by JSON files containing the following main sections: Parameters Buses Generators Price-sensitive loads Transmission lines Reserves Contingencies Each section is described in detail below. For a complete example, see case14 . 1.1 Parameters This section describes system-wide parameters, such as power balance penalties, optimization parameters, such as the length of the planning horizon and the time. Key Description Default Time series? Time horizon (h) Length of the planning horizon (in hours). Required N Time step (min) Length of each time step (in minutes). Must be a divisor of 60 (e.g. 60, 30, 20, 15, etc). 60 N Power balance penalty ($/MW) Penalty for system-wide shortage or surplus in production (in $/MW). This is charged per time step. For example, if there is a shortage of 1 MW for three time steps, three times this amount will be charged. 1000.0 Y Example { \"Parameters\": { \"Time horizon (h)\": 4, \"Power balance penalty ($/MW)\": 1000.0 } } 1.2 Buses This section describes the characteristics of each bus in the system. Key Description Default Time series? Load (MW) Fixed load connected to the bus (in MW). Required Y Example { \"Buses\": { \"b1\": { \"Load (MW)\": 0.0 }, \"b2\": { \"Load (MW)\": [ 26.01527, 24.46212, 23.29725, 22.90897 ] } } } 1.3 Generators This section describes all generators in the system, including thermal units, renewable units and virtual units. Key Description Default Time series? Bus Identifier of the bus where this generator is located (string). Required N Production cost curve (MW) and Production cost curve ($) Parameters describing the piecewise-linear production costs. See below for more details. Required Y Startup costs ($) and Startup delays (h) Parameters describing how much it costs to start the generator after it has been shut down for a certain amount of time. If Startup costs ($) and Startup delays (h) are set to [300.0, 400.0] and [1, 4] , for example, and the generator is shut down at time 00:00 (h:min), then it costs 300 to start up the generator at any time between 01:00 and 03:59 , and 400 to start the generator at time 04:00 or any time after that. The number of startup cost points is unlimited, and may be different for each generator. Startup delays must be strictly increasing and the first entry must equal Minimum downtime (h) . [0.0] and [1] N Minimum uptime (h) Minimum amount of time the generator must stay operational after starting up (in hours). For example, if the generator starts up at time 00:00 (h:min) and Minimum uptime (h) is set to 4, then the generator can only shut down at time 04:00 . 1 N Minimum downtime (h) Minimum amount of time the generator must stay offline after shutting down (in hours). For example, if the generator shuts down at time 00:00 (h:min) and Minimum downtime (h) is set to 4, then the generator can only start producing power again at time 04:00 . 1 N Ramp up limit (MW) Maximum increase in production from one time step to the next (in MW). For example, if the generator is producing 100 MW at time step 1 and if this parameter is set to 40 MW, then the generator will produce at most 140 MW at time step 2. +inf N Ramp down limit (MW) Maximum decrease in production from one time step to the next (in MW). For example, if the generator is producing 100 MW at time step 1 and this parameter is set to 40 MW, then the generator will produce at least 60 MW at time step 2. +inf N Startup limit (MW) Maximum amount of power a generator can produce immediately after starting up (in MW). For example, if Startup limit (MW) is set to 100 MW and the unit is off at time step 1, then it may produce at most 100 MW at time step 2. +inf N Shutdown limit (MW) Maximum amount of power a generator can produce immediately before shutting down (in MW). Specifically, the generator can only shut down at time step t+1 if its production at time step t is below this limit. +inf N Initial status (h) If set to a positive number, indicates the amount of time (in hours) the generator has been on at the beginning of the simulation, and if set to a negative number, the amount of time the generator has been off. For example, if Initial status (h) is -2 , this means that the generator was off since -02:00 (h:min). The simulation starts at time 00:00 . If Initial status (h) is 3 , this means that the generator was on since -03:00 . A value of zero is not acceptable. Required N Initial power (MW) Amount of power the generator at time step -1 , immediately before the planning horizon starts. Required N Must run? If true , the generator should be committed, even if that is not economical (Boolean). false Y Provides spinning reserves? If true , this generator may provide spinning reserves (Boolean). true Y Production costs and limits Production costs are represented as piecewise-linear curves. Figure 1 shows an example cost curve with three segments, where it costs 1400, 1600, 2200 and 2400 dollars to generate, respectively, 100, 110, 130 and 135 MW of power. To model this generator, Production cost curve (MW) should be set to [100, 110, 130, 135] , and Production cost curve ($) should be set to [1400, 1600, 2200, 2400] . Note that this curve also specifies the production limits. Specifically, the first point identifies the minimum power output when the unit is operational, while the last point identifies the maximum power output. Figure 1. Piecewise-linear production cost curve. Additional remarks: For time-dependent production limits or time-dependent production costs, the usage of nested arrays is allowed. For example, if Production cost curve (MW) is set to [5.0, [10.0, 12.0, 15.0, 20.0]] , then the unit may generate at most 10, 12, 15 and 20 MW of power during time steps 1, 2, 3 and 4, respectively. The minimum output for all time periods is fixed to at 5 MW. There is no limit to the number of piecewise-linear segments, and different generators may have a different number of segments. If Production cost curve (MW) and Production cost curve ($) both contain a single element, then the generator must produce exactly that amount of power when operational. To specify that the generator may produce any amount of power up to a certain limit P , the parameter Production cost curve (MW) should be set to [0, P] . Production cost curves must be convex. Example { \"Generators\": { \"gen1\": { \"Bus\": \"b1\", \"Production cost curve (MW)\": [100.0, 110.0, 130.0, 135.0], \"Production cost curve ($)\": [1400.0, 1600.0, 2200.0, 2400.0], \"Startup costs ($)\": [300.0, 400.0], \"Startup delays (h)\": [1, 4], \"Ramp up limit (MW)\": 232.68, \"Ramp down limit (MW)\": 232.68, \"Startup limit (MW)\": 232.68, \"Shutdown limit (MW)\": 232.68, \"Minimum downtime (h)\": 4, \"Minimum uptime (h)\": 4, \"Initial status (h)\": 12, \"Must run?\": false, \"Provides spinning reserves?\": true, }, \"gen2\": { \"Bus\": \"b5\", \"Production cost curve (MW)\": [0.0, [10.0, 8.0, 0.0, 3.0]], \"Production cost curve ($)\": [0.0, 0.0], \"Provides spinning reserves?\": true, } } } 1.4 Price-sensitive loads This section describes components in the system which may increase or reduce their energy consumption according to the energy prices. Fixed loads (as described in the buses section) are always served, regardless of the price, unless there is significant congestion in the system or insufficient production capacity. Price-sensitive loads, on the other hand, are only served if it is economical to do so. Key Description Default Time series? Bus Bus where the load is located. Multiple price-sensitive loads may be placed at the same bus. Required N Revenue ($/MW) Revenue obtained for serving each MW of power to this load. Required Y Demand (MW) Maximum amount of power required by this load. Any amount lower than this may be served. Required Y Example { \"Price-sensitive loads\": { \"p1\": { \"Bus\": \"b3\", \"Revenue ($/MW)\": 23.0, \"Demand (MW)\": 50.0 } } } 1.5 Transmission Lines This section describes the characteristics of transmission system, such as its topology and the susceptance of each transmission line. Key Description Default Time series? Source bus Identifier of the bus where the transmission line originates. Required N Target bus Identifier of the bus where the transmission line reaches. Required N Reactance (ohms) Reactance of the transmission line (in ohms). Required N Susceptance (S) Susceptance of the transmission line (in siemens). Required N Normal flow limit (MW) Maximum amount of power (in MW) allowed to flow through the line when the system is in its regular, fully-operational state. +inf Y Emergency flow limit (MW) Maximum amount of power (in MW) allowed to flow through the line when the system is in degraded state (for example, after the failure of another transmission line). +inf Y Flow limit penalty ($/MW) Penalty for violating the flow limits of the transmission line (in $/MW). This is charged per time step. For example, if there is a thermal violation of 1 MW for three time steps, then three times this amount will be charged. 5000.0 Y Example { \"Transmission lines\": { \"l1\": { \"Source bus\": \"b1\", \"Target bus\": \"b2\", \"Reactance (ohms)\": 0.05917, \"Susceptance (S)\": 29.49686, \"Normal flow limit (MW)\": 15000.0, \"Emergency flow limit (MW)\": 20000.0, \"Flow limit penalty ($/MW)\": 5000.0 } } } 1.6 Reserves This section describes the hourly amount of operating reserves required. Key Description Default Time series? Spinning (MW) Minimum amount of system-wide spinning reserves (in MW). Only generators which are online may provide this reserve. 0.0 Y Example { \"Reserves\": { \"Spinning (MW)\": [ 57.30552, 53.88429, 51.31838, 50.46307 ] } } 1.7 Contingencies This section describes credible contingency scenarios in the optimization, such as the loss of a transmission line or generator. Key Description Default Affected generators List of generators affected by this contingency. May be omitted if no generators are affected. [] Affected lines List of transmission lines affected by this contingency. May be omitted if no lines are affected. [] Example { \"Contingencies\": { \"c1\": { \"Affected lines\": [\"l1\", \"l2\", \"l3\"], \"Affected generators\": [\"g1\"] }, \"c2\": { \"Affected lines\": [\"l4\"] }, } } 1.8 Additional remarks Time series parameters Many numerical properties in the JSON file can be specified either as a single floating point number if they are time-independent, or as an array containing exactly T elements, if they are time-dependent, where T is the number of time steps in the planning horizon. For example, both formats below are valid when T=3 : { \"Load (MW)\": 800.0, \"Load (MW)\": [800.0, 850.0, 730.0] } The value T depends on both Time horizon (h) and Time step (min) , as the table below illustrates. Time horizon (h) Time step (min) T 24 60 24 24 15 96 24 5 288 36 60 36 36 15 144 36 5 432 Current limitations All reserves are system-wide (no zonal reserves) Network topology remains the same for all time periods Only N-1 transmission contingencies are supported. Generator contingencies are not supported. Time-varying minimum production amounts are not currently compatible with ramp/startup/shutdown limits. 2. Output Data Format The output data format is also JSON-based, but it is not currently documented since we expect it to change significantly in a future version of the package.","title":"Format"},{"location":"format/#data-format","text":"","title":"Data Format"},{"location":"format/#1-input-data-format","text":"Instances are specified by JSON files containing the following main sections: Parameters Buses Generators Price-sensitive loads Transmission lines Reserves Contingencies Each section is described in detail below. For a complete example, see case14 .","title":"1. 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If Startup costs ($) and Startup delays (h) are set to [300.0, 400.0] and [1, 4] , for example, and the generator is shut down at time 00:00 (h:min), then it costs 300 to start up the generator at any time between 01:00 and 03:59 , and 400 to start the generator at time 04:00 or any time after that. The number of startup cost points is unlimited, and may be different for each generator. Startup delays must be strictly increasing and the first entry must equal Minimum downtime (h) . [0.0] and [1] N Minimum uptime (h) Minimum amount of time the generator must stay operational after starting up (in hours). For example, if the generator starts up at time 00:00 (h:min) and Minimum uptime (h) is set to 4, then the generator can only shut down at time 04:00 . 1 N Minimum downtime (h) Minimum amount of time the generator must stay offline after shutting down (in hours). For example, if the generator shuts down at time 00:00 (h:min) and Minimum downtime (h) is set to 4, then the generator can only start producing power again at time 04:00 . 1 N Ramp up limit (MW) Maximum increase in production from one time step to the next (in MW). For example, if the generator is producing 100 MW at time step 1 and if this parameter is set to 40 MW, then the generator will produce at most 140 MW at time step 2. +inf N Ramp down limit (MW) Maximum decrease in production from one time step to the next (in MW). For example, if the generator is producing 100 MW at time step 1 and this parameter is set to 40 MW, then the generator will produce at least 60 MW at time step 2. +inf N Startup limit (MW) Maximum amount of power a generator can produce immediately after starting up (in MW). For example, if Startup limit (MW) is set to 100 MW and the unit is off at time step 1, then it may produce at most 100 MW at time step 2. +inf N Shutdown limit (MW) Maximum amount of power a generator can produce immediately before shutting down (in MW). Specifically, the generator can only shut down at time step t+1 if its production at time step t is below this limit. +inf N Initial status (h) If set to a positive number, indicates the amount of time (in hours) the generator has been on at the beginning of the simulation, and if set to a negative number, the amount of time the generator has been off. For example, if Initial status (h) is -2 , this means that the generator was off since -02:00 (h:min). The simulation starts at time 00:00 . If Initial status (h) is 3 , this means that the generator was on since -03:00 . A value of zero is not acceptable. Required N Initial power (MW) Amount of power the generator at time step -1 , immediately before the planning horizon starts. Required N Must run? If true , the generator should be committed, even if that is not economical (Boolean). false Y Provides spinning reserves? If true , this generator may provide spinning reserves (Boolean). true Y","title":"1.3 Generators"},{"location":"format/#production-costs-and-limits","text":"Production costs are represented as piecewise-linear curves. Figure 1 shows an example cost curve with three segments, where it costs 1400, 1600, 2200 and 2400 dollars to generate, respectively, 100, 110, 130 and 135 MW of power. To model this generator, Production cost curve (MW) should be set to [100, 110, 130, 135] , and Production cost curve ($) should be set to [1400, 1600, 2200, 2400] . Note that this curve also specifies the production limits. Specifically, the first point identifies the minimum power output when the unit is operational, while the last point identifies the maximum power output. Figure 1. Piecewise-linear production cost curve.","title":"Production costs and limits"},{"location":"format/#additional-remarks","text":"For time-dependent production limits or time-dependent production costs, the usage of nested arrays is allowed. For example, if Production cost curve (MW) is set to [5.0, [10.0, 12.0, 15.0, 20.0]] , then the unit may generate at most 10, 12, 15 and 20 MW of power during time steps 1, 2, 3 and 4, respectively. The minimum output for all time periods is fixed to at 5 MW. There is no limit to the number of piecewise-linear segments, and different generators may have a different number of segments. If Production cost curve (MW) and Production cost curve ($) both contain a single element, then the generator must produce exactly that amount of power when operational. To specify that the generator may produce any amount of power up to a certain limit P , the parameter Production cost curve (MW) should be set to [0, P] . Production cost curves must be convex.","title":"Additional remarks:"},{"location":"format/#example_2","text":"{ \"Generators\": { \"gen1\": { \"Bus\": \"b1\", \"Production cost curve (MW)\": [100.0, 110.0, 130.0, 135.0], \"Production cost curve ($)\": [1400.0, 1600.0, 2200.0, 2400.0], \"Startup costs ($)\": [300.0, 400.0], \"Startup delays (h)\": [1, 4], \"Ramp up limit (MW)\": 232.68, \"Ramp down limit (MW)\": 232.68, \"Startup limit (MW)\": 232.68, \"Shutdown limit (MW)\": 232.68, \"Minimum downtime (h)\": 4, \"Minimum uptime (h)\": 4, \"Initial status (h)\": 12, \"Must run?\": false, \"Provides spinning reserves?\": true, }, \"gen2\": { \"Bus\": \"b5\", \"Production cost curve (MW)\": [0.0, [10.0, 8.0, 0.0, 3.0]], \"Production cost curve ($)\": [0.0, 0.0], \"Provides spinning reserves?\": true, } } }","title":"Example"},{"location":"format/#14-price-sensitive-loads","text":"This section describes components in the system which may increase or reduce their energy consumption according to the energy prices. Fixed loads (as described in the buses section) are always served, regardless of the price, unless there is significant congestion in the system or insufficient production capacity. Price-sensitive loads, on the other hand, are only served if it is economical to do so. Key Description Default Time series? Bus Bus where the load is located. Multiple price-sensitive loads may be placed at the same bus. Required N Revenue ($/MW) Revenue obtained for serving each MW of power to this load. Required Y Demand (MW) Maximum amount of power required by this load. Any amount lower than this may be served. Required Y","title":"1.4 Price-sensitive loads"},{"location":"format/#example_3","text":"{ \"Price-sensitive loads\": { \"p1\": { \"Bus\": \"b3\", \"Revenue ($/MW)\": 23.0, \"Demand (MW)\": 50.0 } } }","title":"Example"},{"location":"format/#15-transmission-lines","text":"This section describes the characteristics of transmission system, such as its topology and the susceptance of each transmission line. Key Description Default Time series? Source bus Identifier of the bus where the transmission line originates. Required N Target bus Identifier of the bus where the transmission line reaches. Required N Reactance (ohms) Reactance of the transmission line (in ohms). Required N Susceptance (S) Susceptance of the transmission line (in siemens). Required N Normal flow limit (MW) Maximum amount of power (in MW) allowed to flow through the line when the system is in its regular, fully-operational state. +inf Y Emergency flow limit (MW) Maximum amount of power (in MW) allowed to flow through the line when the system is in degraded state (for example, after the failure of another transmission line). +inf Y Flow limit penalty ($/MW) Penalty for violating the flow limits of the transmission line (in $/MW). This is charged per time step. For example, if there is a thermal violation of 1 MW for three time steps, then three times this amount will be charged. 5000.0 Y","title":"1.5 Transmission Lines"},{"location":"format/#example_4","text":"{ \"Transmission lines\": { \"l1\": { \"Source bus\": \"b1\", \"Target bus\": \"b2\", \"Reactance (ohms)\": 0.05917, \"Susceptance (S)\": 29.49686, \"Normal flow limit (MW)\": 15000.0, \"Emergency flow limit (MW)\": 20000.0, \"Flow limit penalty ($/MW)\": 5000.0 } } }","title":"Example"},{"location":"format/#16-reserves","text":"This section describes the hourly amount of operating reserves required. Key Description Default Time series? Spinning (MW) Minimum amount of system-wide spinning reserves (in MW). Only generators which are online may provide this reserve. 0.0 Y","title":"1.6 Reserves"},{"location":"format/#example_5","text":"{ \"Reserves\": { \"Spinning (MW)\": [ 57.30552, 53.88429, 51.31838, 50.46307 ] } }","title":"Example"},{"location":"format/#17-contingencies","text":"This section describes credible contingency scenarios in the optimization, such as the loss of a transmission line or generator. Key Description Default Affected generators List of generators affected by this contingency. May be omitted if no generators are affected. [] Affected lines List of transmission lines affected by this contingency. May be omitted if no lines are affected. []","title":"1.7 Contingencies"},{"location":"format/#example_6","text":"{ \"Contingencies\": { \"c1\": { \"Affected lines\": [\"l1\", \"l2\", \"l3\"], \"Affected generators\": [\"g1\"] }, \"c2\": { \"Affected lines\": [\"l4\"] }, } }","title":"Example"},{"location":"format/#18-additional-remarks","text":"","title":"1.8 Additional remarks"},{"location":"format/#time-series-parameters","text":"Many numerical properties in the JSON file can be specified either as a single floating point number if they are time-independent, or as an array containing exactly T elements, if they are time-dependent, where T is the number of time steps in the planning horizon. For example, both formats below are valid when T=3 : { \"Load (MW)\": 800.0, \"Load (MW)\": [800.0, 850.0, 730.0] } The value T depends on both Time horizon (h) and Time step (min) , as the table below illustrates. Time horizon (h) Time step (min) T 24 60 24 24 15 96 24 5 288 36 60 36 36 15 144 36 5 432","title":"Time series parameters"},{"location":"format/#current-limitations","text":"All reserves are system-wide (no zonal reserves) Network topology remains the same for all time periods Only N-1 transmission contingencies are supported. Generator contingencies are not supported. Time-varying minimum production amounts are not currently compatible with ramp/startup/shutdown limits.","title":"Current limitations"},{"location":"format/#2-output-data-format","text":"The output data format is also JSON-based, but it is not currently documented since we expect it to change significantly in a future version of the package.","title":"2. Output Data Format"},{"location":"instances/","text":"Instances UnitCommitment.jl provides a large collection of benchmark instances collected from the literature and converted to a common data format . In some cases, as indicated below, the original instances have been extended, with realistic parameters, using data-driven methods. If you use these instances in your research, we request that you cite UnitCommitment.jl, as well as the original sources. Raw instances files are available at our GitHub repository . Benchmark instances can also be loaded with UnitCommitment.read_benchmark(name) , as explained in the usage section . 1. MATPOWER MATPOWER is an open-source package for solving power flow problems in MATLAB and Octave. It contains a number of power flow test cases, which have been widely used in the power systems literature. Because most MATPOWER test cases were originally designed for power flow studies, they lack a number of important unit commitment parameters, such as time-varying loads, production cost curves, ramp limits, reserves and initial conditions. The test cases included in UnitCommitment.jl are extended versions of the original MATPOWER test cases, modified as following: Production cost curves were generated using a data-driven approach, based on publicly available data. More specifically, machine learning models were trained to predict typical production cost curves, for each day of the year, based on a generator's maximum and minimum power output. Load profiles were generated using a similar data-driven approach. Ramp-up, ramp-down, startup and shutdown rates were set to a fixed proportion of the generator's maximum output. Minimum reserves were set to a fixed proportion of the total demand. Contingencies were set to include all N-1 transmission line contingencies that do not generate islands or isolated buses. More specifically, there is one contingency for each transmission line, as long as that transmission line is not a bridge in the network graph. For each MATPOWER test case, UC.jl provides two variations ( 2017-02-01 and 2017-08-01 ) corresponding respectively to a winter and to a summer test case. 1.1 MATPOWER/UW-PSTCA A variety of smaller IEEE test cases, compiled by University of Washington , corresponding mostly to small portions of the American Electric Power System in the 1960s. Name Buses Generators Lines Contingencies References matpower/case14/2017-02-01 14 5 20 19 [MTPWR, PSTCA] matpower/case14/2017-08-01 14 5 20 19 [MTPWR, PSTCA] matpower/case30/2017-02-01 30 6 41 38 [MTPWR, PSTCA] matpower/case30/2017-08-01 30 6 41 38 [MTPWR, PSTCA] matpower/case57/2017-02-01 57 7 80 79 [MTPWR, PSTCA] matpower/case57/2017-08-01 57 7 80 79 [MTPWR, PSTCA] matpower/case118/2017-02-01 118 54 186 177 [MTPWR, PSTCA] matpower/case118/2017-08-01 118 54 186 177 [MTPWR, PSTCA] matpower/case300/2017-02-01 300 69 411 320 [MTPWR, PSTCA] matpower/case300/2017-08-01 300 69 411 320 [MTPWR, PSTCA] 1.2 MATPOWER/Polish Test cases based on the Polish 400, 220 and 110 kV networks, originally provided by Roman Korab (Politechnika \u015al\u0105ska) and corrected by the MATPOWER team. Name Buses Generators Lines Contingencies References matpower/case2383wp/2017-02-01 2383 323 2896 2240 [MTPWR] matpower/case2383wp/2017-08-01 2383 323 2896 2240 [MTPWR] matpower/case2736sp/2017-02-01 2736 289 3504 3159 [MTPWR] matpower/case2736sp/2017-08-01 2736 289 3504 3159 [MTPWR] matpower/case2737sop/2017-02-01 2737 267 3506 3161 [MTPWR] matpower/case2737sop/2017-08-01 2737 267 3506 3161 [MTPWR] matpower/case2746wop/2017-02-01 2746 443 3514 3155 [MTPWR] matpower/case2746wop/2017-08-01 2746 443 3514 3155 [MTPWR] matpower/case2746wp/2017-02-01 2746 457 3514 3156 [MTPWR] matpower/case2746wp/2017-08-01 2746 457 3514 3156 [MTPWR] matpower/case3012wp/2017-02-01 3012 496 3572 2854 [MTPWR] matpower/case3012wp/2017-08-01 3012 496 3572 2854 [MTPWR] matpower/case3120sp/2017-02-01 3120 483 3693 2950 [MTPWR] matpower/case3120sp/2017-08-01 3120 483 3693 2950 [MTPWR] matpower/case3375wp/2017-02-01 3374 590 4161 3245 [MTPWR] matpower/case3375wp/2017-08-01 3374 590 4161 3245 [MTPWR] 1.3 MATPOWER/PEGASE Test cases from the Pan European Grid Advanced Simulation and State Estimation (PEGASE) project , describing part of the European high voltage transmission network. Name Buses Generators Lines Contingencies References matpower/case89pegase/2017-02-01 89 12 210 192 [JoFlMa16, FlPaCa13, MTPWR] matpower/case89pegase/2017-08-01 89 12 210 192 [JoFlMa16, FlPaCa13, MTPWR] matpower/case1354pegase/2017-02-01 1354 260 1991 1288 [JoFlMa16, FlPaCa13, MTPWR] matpower/case1354pegase/2017-08-01 1354 260 1991 1288 [JoFlMa16, FlPaCa13, MTPWR] matpower/case2869pegase/2017-02-01 2869 510 4582 3579 [JoFlMa16, FlPaCa13, MTPWR] matpower/case2869pegase/2017-08-01 2869 510 4582 3579 [JoFlMa16, FlPaCa13, MTPWR] matpower/case9241pegase/2017-02-01 9241 1445 16049 13932 [JoFlMa16, FlPaCa13, MTPWR] matpower/case9241pegase/2017-08-01 9241 1445 16049 13932 [JoFlMa16, FlPaCa13, MTPWR] matpower/case13659pegase/2017-02-01 13659 4092 20467 13932 [JoFlMa16, FlPaCa13, MTPWR] matpower/case13659pegase/2017-08-01 13659 4092 20467 13932 [JoFlMa16, FlPaCa13, MTPWR] 1.4 MATPOWER/RTE Test cases from the R&D Division at Reseau de Transport d'Electricite representing the size and complexity of the French very high voltage transmission network. Name Buses Generators Lines Contingencies References matpower/case1888rte/2017-02-01 1888 296 2531 1484 [MTPWR, JoFlMa16] matpower/case1888rte/2017-08-01 1888 296 2531 1484 [MTPWR, JoFlMa16] matpower/case1951rte/2017-02-01 1951 390 2596 1497 [MTPWR, JoFlMa16] matpower/case1951rte/2017-08-01 1951 390 2596 1497 [MTPWR, JoFlMa16] matpower/case2848rte/2017-02-01 2848 544 3776 2242 [MTPWR, JoFlMa16] matpower/case2848rte/2017-08-01 2848 544 3776 2242 [MTPWR, JoFlMa16] matpower/case2868rte/2017-02-01 2868 596 3808 2260 [MTPWR, JoFlMa16] matpower/case2868rte/2017-08-01 2868 596 3808 2260 [MTPWR, JoFlMa16] matpower/case6468rte/2017-02-01 6468 1262 9000 6094 [MTPWR, JoFlMa16] matpower/case6468rte/2017-08-01 6468 1262 9000 6094 [MTPWR, JoFlMa16] matpower/case6470rte/2017-02-01 6470 1306 9005 6085 [MTPWR, JoFlMa16] matpower/case6470rte/2017-08-01 6470 1306 9005 6085 [MTPWR, JoFlMa16] matpower/case6495rte/2017-02-01 6495 1352 9019 6060 [MTPWR, JoFlMa16] matpower/case6495rte/2017-08-01 6495 1352 9019 6060 [MTPWR, JoFlMa16] matpower/case6515rte/2017-02-01 6515 1368 9037 6063 [MTPWR, JoFlMa16] matpower/case6515rte/2017-08-01 6515 1368 9037 6063 [MTPWR, JoFlMa16] 2. PGLIB-UC Instances PGLIB-UC is a benchmark library curated and maintained by the IEEE PES Task Force on Benchmarks for Validation of Emerging Power System Algorithms . These test cases have been used in [KnOsWa20]. 2.1 PGLIB-UC/California Test cases based on publicly available data from the California ISO. For more details, see PGLIB-UC case file overview . Name Buses Generators Lines Contingencies References pglib-uc/ca/2014-09-01_reserves_0 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-09-01_reserves_1 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-09-01_reserves_3 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-09-01_reserves_5 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-12-01_reserves_0 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-12-01_reserves_1 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-12-01_reserves_3 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-12-01_reserves_5 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-03-01_reserves_0 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-03-01_reserves_1 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-03-01_reserves_3 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-03-01_reserves_5 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-06-01_reserves_0 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-06-01_reserves_1 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-06-01_reserves_3 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-06-01_reserves_5 1 610 0 0 [KnOsWa20] pglib-uc/ca/Scenario400_reserves_0 1 611 0 0 [KnOsWa20] pglib-uc/ca/Scenario400_reserves_1 1 611 0 0 [KnOsWa20] pglib-uc/ca/Scenario400_reserves_3 1 611 0 0 [KnOsWa20] pglib-uc/ca/Scenario400_reserves_5 1 611 0 0 [KnOsWa20] 2.2 PGLIB-UC/FERC Test cases based on a publicly available unit commitment test case produced by the Federal Energy Regulatory Commission . For more details, see PGLIB-UC case file overview . Name Buses Generators Lines Contingencies References pglib-uc/ferc/2015-01-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-01-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-02-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-02-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-03-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-03-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-04-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-04-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-05-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-05-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-06-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-06-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-07-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-07-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-08-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-08-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-09-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-09-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-10-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-10-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-11-02_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-11-02_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-12-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-12-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] 2.3 PGLIB-UC/RTS-GMLC RTS-GMLC is an updated version of the RTS-96 test system produced by the United States Department of Energy's Grid Modernization Laboratory Consortium . The PGLIB-UC/RTS-GMLC instances are modified versions of the original RTS-GMLC instances, with modified ramp-rates and without a transmission network. For more details, see PGLIB-UC case file overview . Name Buses Generators Lines Contingencies References pglib-uc/rts_gmlc/2020-01-27 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-02-09 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-03-05 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-04-03 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-05-05 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-06-09 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-07-06 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-08-12 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-09-20 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-10-27 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-11-25 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-12-23 1 154 0 0 [BaBlEh19] 3. OR-LIB/UC OR-LIB is a collection of test data sets for a variety of operations research problems, including unit commitment. The UC instances in OR-LIB are synthetic instances generated by a random problem generator developed by the Operations Research Group at University of Pisa . These test cases have been used in [FrGe06] and many other publications. Name Hours Buses Generators Lines Contingencies References or-lib/10_0_1_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/10_0_2_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/10_0_3_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/10_0_4_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/10_0_5_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/20_0_1_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/20_0_2_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/20_0_3_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/20_0_4_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/20_0_5_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/50_0_1_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/50_0_2_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/50_0_3_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/50_0_4_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/50_0_5_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/75_0_1_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/75_0_2_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/75_0_3_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/75_0_4_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/75_0_5_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/100_0_1_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/100_0_2_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/100_0_3_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/100_0_4_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/100_0_5_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/150_0_1_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/150_0_2_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/150_0_3_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/150_0_4_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/150_0_5_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/200_0_10_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_11_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_12_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_1_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_2_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_3_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_4_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_5_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_6_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_7_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_8_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_9_w 24 1 200 0 0 [ORLIB, FrGe06] 4. Tejada19 Test cases used in [TeLuSa19]. These instances are similar to OR-LIB/UC, in the sense that they use the same random problem generator, but are much larger. Name Hours Buses Generators Lines Contingencies References tejada19/UC_24h_214g 24 1 214 0 0 [TeLuSa19] tejada19/UC_24h_250g 24 1 250 0 0 [TeLuSa19] tejada19/UC_24h_290g 24 1 290 0 0 [TeLuSa19] tejada19/UC_24h_480g 24 1 480 0 0 [TeLuSa19] tejada19/UC_24h_505g 24 1 505 0 0 [TeLuSa19] tejada19/UC_24h_623g 24 1 623 0 0 [TeLuSa19] tejada19/UC_24h_647g 24 1 647 0 0 [TeLuSa19] tejada19/UC_24h_836g 24 1 836 0 0 [TeLuSa19] tejada19/UC_24h_850g 24 1 850 0 0 [TeLuSa19] tejada19/UC_24h_918g 24 1 918 0 0 [TeLuSa19] tejada19/UC_24h_931g 24 1 931 0 0 [TeLuSa19] tejada19/UC_24h_940g 24 1 940 0 0 [TeLuSa19] tejada19/UC_24h_957g 24 1 957 0 0 [TeLuSa19] tejada19/UC_24h_959g 24 1 959 0 0 [TeLuSa19] tejada19/UC_24h_1069g 24 1 1069 0 0 [TeLuSa19] tejada19/UC_24h_1130g 24 1 1130 0 0 [TeLuSa19] tejada19/UC_24h_1376g 24 1 1376 0 0 [TeLuSa19] tejada19/UC_24h_1393g 24 1 1393 0 0 [TeLuSa19] tejada19/UC_24h_1577g 24 1 1577 0 0 [TeLuSa19] tejada19/UC_24h_1615g 24 1 1615 0 0 [TeLuSa19] tejada19/UC_24h_1632g 24 1 1632 0 0 [TeLuSa19] tejada19/UC_24h_1768g 24 1 1768 0 0 [TeLuSa19] tejada19/UC_24h_1804g 24 1 1804 0 0 [TeLuSa19] tejada19/UC_24h_1820g 24 1 1820 0 0 [TeLuSa19] tejada19/UC_24h_1823g 24 1 1823 0 0 [TeLuSa19] tejada19/UC_24h_1888g 24 1 1888 0 0 [TeLuSa19] tejada19/UC_168h_36g 168 1 36 0 0 [TeLuSa19] tejada19/UC_168h_38g 168 1 38 0 0 [TeLuSa19] tejada19/UC_168h_40g 168 1 40 0 0 [TeLuSa19] tejada19/UC_168h_53g 168 1 53 0 0 [TeLuSa19] tejada19/UC_168h_58g 168 1 58 0 0 [TeLuSa19] tejada19/UC_168h_59g 168 1 59 0 0 [TeLuSa19] tejada19/UC_168h_72g 168 1 72 0 0 [TeLuSa19] tejada19/UC_168h_84g 168 1 84 0 0 [TeLuSa19] tejada19/UC_168h_86g 168 1 86 0 0 [TeLuSa19] tejada19/UC_168h_88g 168 1 88 0 0 [TeLuSa19] tejada19/UC_168h_93g 168 1 93 0 0 [TeLuSa19] tejada19/UC_168h_105g 168 1 105 0 0 [TeLuSa19] tejada19/UC_168h_110g 168 1 110 0 0 [TeLuSa19] tejada19/UC_168h_125g 168 1 125 0 0 [TeLuSa19] tejada19/UC_168h_130g 168 1 130 0 0 [TeLuSa19] tejada19/UC_168h_131g 168 1 131 0 0 [TeLuSa19] tejada19/UC_168h_140g 168 1 140 0 0 [TeLuSa19] tejada19/UC_168h_165g 168 1 165 0 0 [TeLuSa19] tejada19/UC_168h_175g 168 1 175 0 0 [TeLuSa19] tejada19/UC_168h_179g 168 1 179 0 0 [TeLuSa19] tejada19/UC_168h_188g 168 1 188 0 0 [TeLuSa19] tejada19/UC_168h_192g 168 1 192 0 0 [TeLuSa19] tejada19/UC_168h_199g 168 1 199 0 0 [TeLuSa19] 5. References [UCJL] Alinson S. Xavier, Feng Qiu. \"UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment\". Zenodo (2020). DOI: 10.5281/zenodo.4269874 [KnOsWa20] Bernard Knueven, James Ostrowski and Jean-Paul Watson. \"On Mixed-Integer Programming Formulations for the Unit Commitment Problem\". INFORMS Journal on Computing (2020). DOI: 10.1287/ijoc.2019.0944 [KrHiOn12] Eric Krall, Michael Higgins and Richard P. O\u2019Neill. \"RTO unit commitment test system.\" Federal Energy Regulatory Commission. Available at: https://www.ferc.gov/industries-data/electric/power-sales-and-markets/increasing-efficiency-through-improved-software-1 (Accessed: Nov 14, 2020) [BaBlEh19] Clayton Barrows, Aaron Bloom, Ali Ehlen, Jussi Ikaheimo, Jennie Jorgenson, Dheepak Krishnamurthy, Jessica Lau et al. \"The IEEE Reliability Test System: A Proposed 2019 Update.\" IEEE Transactions on Power Systems (2019). DOI: 10.1109/TPWRS.2019.2925557 [JoFlMa16] C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici. \"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE\". ArXiv (2016) . [FlPaCa13] S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel. \"Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive and corrective actions\", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013. DOI: 10.1109/TPWRS.2013.2251015 [MTPWR] D. Zimmerman, C. E. Murillo-Sandnchez and R. J. Thomas. \"Matpower: Steady-state operations, planning, and analysis tools forpower systems research and education\", IEEE Transactions on PowerSystems, vol. 26, no. 1, pp. 12 \u201319, Feb. 2011. DOI: 10.1109/TPWRS.2010.2051168 [PSTCA] University of Washington, Dept. of Electrical Engineering. \"Power Systems Test Case Archive\". Available at: http://www.ee.washington.edu/research/pstca/ (Accessed: Nov 14, 2020) [ORLIB] J.E.Beasley. \"OR-Library: distributing test problems by electronic mail\", Journal of the Operational Research Society 41(11) (1990). DOI: 10.2307/2582903 [FrGe06] A. Frangioni, C. Gentile. \"Solving nonlinear single-unit commitment problems with ramping constraints\" Operations Research 54(4), p. 767 - 775, 2006. DOI: 10.1287/opre.1060.0309 [TeLuSa19] D. A. Tejada-Arango, S. Lumbreras, P. Sanchez-Martin and A. Ramos. \"Which Unit-Commitment Formulation is Best? A Systematic Comparison,\" in IEEE Transactions on Power Systems. DOI: 10.1109/TPWRS.2019.2962024 .","title":"Instances"},{"location":"instances/#instances","text":"UnitCommitment.jl provides a large collection of benchmark instances collected from the literature and converted to a common data format . In some cases, as indicated below, the original instances have been extended, with realistic parameters, using data-driven methods. If you use these instances in your research, we request that you cite UnitCommitment.jl, as well as the original sources. Raw instances files are available at our GitHub repository . Benchmark instances can also be loaded with UnitCommitment.read_benchmark(name) , as explained in the usage section .","title":"Instances"},{"location":"instances/#1-matpower","text":"MATPOWER is an open-source package for solving power flow problems in MATLAB and Octave. It contains a number of power flow test cases, which have been widely used in the power systems literature. Because most MATPOWER test cases were originally designed for power flow studies, they lack a number of important unit commitment parameters, such as time-varying loads, production cost curves, ramp limits, reserves and initial conditions. The test cases included in UnitCommitment.jl are extended versions of the original MATPOWER test cases, modified as following: Production cost curves were generated using a data-driven approach, based on publicly available data. More specifically, machine learning models were trained to predict typical production cost curves, for each day of the year, based on a generator's maximum and minimum power output. Load profiles were generated using a similar data-driven approach. Ramp-up, ramp-down, startup and shutdown rates were set to a fixed proportion of the generator's maximum output. Minimum reserves were set to a fixed proportion of the total demand. Contingencies were set to include all N-1 transmission line contingencies that do not generate islands or isolated buses. More specifically, there is one contingency for each transmission line, as long as that transmission line is not a bridge in the network graph. For each MATPOWER test case, UC.jl provides two variations ( 2017-02-01 and 2017-08-01 ) corresponding respectively to a winter and to a summer test case.","title":"1. MATPOWER"},{"location":"instances/#11-matpoweruw-pstca","text":"A variety of smaller IEEE test cases, compiled by University of Washington , corresponding mostly to small portions of the American Electric Power System in the 1960s. Name Buses Generators Lines Contingencies References matpower/case14/2017-02-01 14 5 20 19 [MTPWR, PSTCA] matpower/case14/2017-08-01 14 5 20 19 [MTPWR, PSTCA] matpower/case30/2017-02-01 30 6 41 38 [MTPWR, PSTCA] matpower/case30/2017-08-01 30 6 41 38 [MTPWR, PSTCA] matpower/case57/2017-02-01 57 7 80 79 [MTPWR, PSTCA] matpower/case57/2017-08-01 57 7 80 79 [MTPWR, PSTCA] matpower/case118/2017-02-01 118 54 186 177 [MTPWR, PSTCA] matpower/case118/2017-08-01 118 54 186 177 [MTPWR, PSTCA] matpower/case300/2017-02-01 300 69 411 320 [MTPWR, PSTCA] matpower/case300/2017-08-01 300 69 411 320 [MTPWR, PSTCA]","title":"1.1 MATPOWER/UW-PSTCA"},{"location":"instances/#12-matpowerpolish","text":"Test cases based on the Polish 400, 220 and 110 kV networks, originally provided by Roman Korab (Politechnika \u015al\u0105ska) and corrected by the MATPOWER team. Name Buses Generators Lines Contingencies References matpower/case2383wp/2017-02-01 2383 323 2896 2240 [MTPWR] matpower/case2383wp/2017-08-01 2383 323 2896 2240 [MTPWR] matpower/case2736sp/2017-02-01 2736 289 3504 3159 [MTPWR] matpower/case2736sp/2017-08-01 2736 289 3504 3159 [MTPWR] matpower/case2737sop/2017-02-01 2737 267 3506 3161 [MTPWR] matpower/case2737sop/2017-08-01 2737 267 3506 3161 [MTPWR] matpower/case2746wop/2017-02-01 2746 443 3514 3155 [MTPWR] matpower/case2746wop/2017-08-01 2746 443 3514 3155 [MTPWR] matpower/case2746wp/2017-02-01 2746 457 3514 3156 [MTPWR] matpower/case2746wp/2017-08-01 2746 457 3514 3156 [MTPWR] matpower/case3012wp/2017-02-01 3012 496 3572 2854 [MTPWR] matpower/case3012wp/2017-08-01 3012 496 3572 2854 [MTPWR] matpower/case3120sp/2017-02-01 3120 483 3693 2950 [MTPWR] matpower/case3120sp/2017-08-01 3120 483 3693 2950 [MTPWR] matpower/case3375wp/2017-02-01 3374 590 4161 3245 [MTPWR] matpower/case3375wp/2017-08-01 3374 590 4161 3245 [MTPWR]","title":"1.2 MATPOWER/Polish"},{"location":"instances/#13-matpowerpegase","text":"Test cases from the Pan European Grid Advanced Simulation and State Estimation (PEGASE) project , describing part of the European high voltage transmission network. Name Buses Generators Lines Contingencies References matpower/case89pegase/2017-02-01 89 12 210 192 [JoFlMa16, FlPaCa13, MTPWR] matpower/case89pegase/2017-08-01 89 12 210 192 [JoFlMa16, FlPaCa13, MTPWR] matpower/case1354pegase/2017-02-01 1354 260 1991 1288 [JoFlMa16, FlPaCa13, MTPWR] matpower/case1354pegase/2017-08-01 1354 260 1991 1288 [JoFlMa16, FlPaCa13, MTPWR] matpower/case2869pegase/2017-02-01 2869 510 4582 3579 [JoFlMa16, FlPaCa13, MTPWR] matpower/case2869pegase/2017-08-01 2869 510 4582 3579 [JoFlMa16, FlPaCa13, MTPWR] matpower/case9241pegase/2017-02-01 9241 1445 16049 13932 [JoFlMa16, FlPaCa13, MTPWR] matpower/case9241pegase/2017-08-01 9241 1445 16049 13932 [JoFlMa16, FlPaCa13, MTPWR] matpower/case13659pegase/2017-02-01 13659 4092 20467 13932 [JoFlMa16, FlPaCa13, MTPWR] matpower/case13659pegase/2017-08-01 13659 4092 20467 13932 [JoFlMa16, FlPaCa13, MTPWR]","title":"1.3 MATPOWER/PEGASE"},{"location":"instances/#14-matpowerrte","text":"Test cases from the R&D Division at Reseau de Transport d'Electricite representing the size and complexity of the French very high voltage transmission network. Name Buses Generators Lines Contingencies References matpower/case1888rte/2017-02-01 1888 296 2531 1484 [MTPWR, JoFlMa16] matpower/case1888rte/2017-08-01 1888 296 2531 1484 [MTPWR, JoFlMa16] matpower/case1951rte/2017-02-01 1951 390 2596 1497 [MTPWR, JoFlMa16] matpower/case1951rte/2017-08-01 1951 390 2596 1497 [MTPWR, JoFlMa16] matpower/case2848rte/2017-02-01 2848 544 3776 2242 [MTPWR, JoFlMa16] matpower/case2848rte/2017-08-01 2848 544 3776 2242 [MTPWR, JoFlMa16] matpower/case2868rte/2017-02-01 2868 596 3808 2260 [MTPWR, JoFlMa16] matpower/case2868rte/2017-08-01 2868 596 3808 2260 [MTPWR, JoFlMa16] matpower/case6468rte/2017-02-01 6468 1262 9000 6094 [MTPWR, JoFlMa16] matpower/case6468rte/2017-08-01 6468 1262 9000 6094 [MTPWR, JoFlMa16] matpower/case6470rte/2017-02-01 6470 1306 9005 6085 [MTPWR, JoFlMa16] matpower/case6470rte/2017-08-01 6470 1306 9005 6085 [MTPWR, JoFlMa16] matpower/case6495rte/2017-02-01 6495 1352 9019 6060 [MTPWR, JoFlMa16] matpower/case6495rte/2017-08-01 6495 1352 9019 6060 [MTPWR, JoFlMa16] matpower/case6515rte/2017-02-01 6515 1368 9037 6063 [MTPWR, JoFlMa16] matpower/case6515rte/2017-08-01 6515 1368 9037 6063 [MTPWR, JoFlMa16]","title":"1.4 MATPOWER/RTE"},{"location":"instances/#2-pglib-uc-instances","text":"PGLIB-UC is a benchmark library curated and maintained by the IEEE PES Task Force on Benchmarks for Validation of Emerging Power System Algorithms . These test cases have been used in [KnOsWa20].","title":"2. PGLIB-UC Instances"},{"location":"instances/#21-pglib-uccalifornia","text":"Test cases based on publicly available data from the California ISO. For more details, see PGLIB-UC case file overview . Name Buses Generators Lines Contingencies References pglib-uc/ca/2014-09-01_reserves_0 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-09-01_reserves_1 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-09-01_reserves_3 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-09-01_reserves_5 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-12-01_reserves_0 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-12-01_reserves_1 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-12-01_reserves_3 1 610 0 0 [KnOsWa20] pglib-uc/ca/2014-12-01_reserves_5 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-03-01_reserves_0 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-03-01_reserves_1 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-03-01_reserves_3 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-03-01_reserves_5 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-06-01_reserves_0 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-06-01_reserves_1 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-06-01_reserves_3 1 610 0 0 [KnOsWa20] pglib-uc/ca/2015-06-01_reserves_5 1 610 0 0 [KnOsWa20] pglib-uc/ca/Scenario400_reserves_0 1 611 0 0 [KnOsWa20] pglib-uc/ca/Scenario400_reserves_1 1 611 0 0 [KnOsWa20] pglib-uc/ca/Scenario400_reserves_3 1 611 0 0 [KnOsWa20] pglib-uc/ca/Scenario400_reserves_5 1 611 0 0 [KnOsWa20]","title":"2.1 PGLIB-UC/California"},{"location":"instances/#22-pglib-ucferc","text":"Test cases based on a publicly available unit commitment test case produced by the Federal Energy Regulatory Commission . For more details, see PGLIB-UC case file overview . Name Buses Generators Lines Contingencies References pglib-uc/ferc/2015-01-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-01-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-02-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-02-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-03-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-03-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-04-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-04-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-05-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-05-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-06-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-06-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-07-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-07-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-08-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-08-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-09-01_hw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-09-01_lw 1 979 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-10-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-10-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-11-02_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-11-02_lw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-12-01_hw 1 935 0 0 [KnOsWa20, KrHiOn12] pglib-uc/ferc/2015-12-01_lw 1 935 0 0 [KnOsWa20, KrHiOn12]","title":"2.2 PGLIB-UC/FERC"},{"location":"instances/#23-pglib-ucrts-gmlc","text":"RTS-GMLC is an updated version of the RTS-96 test system produced by the United States Department of Energy's Grid Modernization Laboratory Consortium . The PGLIB-UC/RTS-GMLC instances are modified versions of the original RTS-GMLC instances, with modified ramp-rates and without a transmission network. For more details, see PGLIB-UC case file overview . Name Buses Generators Lines Contingencies References pglib-uc/rts_gmlc/2020-01-27 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-02-09 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-03-05 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-04-03 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-05-05 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-06-09 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-07-06 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-08-12 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-09-20 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-10-27 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-11-25 1 154 0 0 [BaBlEh19] pglib-uc/rts_gmlc/2020-12-23 1 154 0 0 [BaBlEh19]","title":"2.3 PGLIB-UC/RTS-GMLC"},{"location":"instances/#3-or-libuc","text":"OR-LIB is a collection of test data sets for a variety of operations research problems, including unit commitment. The UC instances in OR-LIB are synthetic instances generated by a random problem generator developed by the Operations Research Group at University of Pisa . These test cases have been used in [FrGe06] and many other publications. Name Hours Buses Generators Lines Contingencies References or-lib/10_0_1_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/10_0_2_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/10_0_3_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/10_0_4_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/10_0_5_w 24 1 10 0 0 [ORLIB, FrGe06] or-lib/20_0_1_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/20_0_2_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/20_0_3_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/20_0_4_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/20_0_5_w 24 1 20 0 0 [ORLIB, FrGe06] or-lib/50_0_1_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/50_0_2_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/50_0_3_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/50_0_4_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/50_0_5_w 24 1 50 0 0 [ORLIB, FrGe06] or-lib/75_0_1_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/75_0_2_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/75_0_3_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/75_0_4_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/75_0_5_w 24 1 75 0 0 [ORLIB, FrGe06] or-lib/100_0_1_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/100_0_2_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/100_0_3_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/100_0_4_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/100_0_5_w 24 1 100 0 0 [ORLIB, FrGe06] or-lib/150_0_1_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/150_0_2_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/150_0_3_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/150_0_4_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/150_0_5_w 24 1 150 0 0 [ORLIB, FrGe06] or-lib/200_0_10_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_11_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_12_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_1_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_2_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_3_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_4_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_5_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_6_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_7_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_8_w 24 1 200 0 0 [ORLIB, FrGe06] or-lib/200_0_9_w 24 1 200 0 0 [ORLIB, FrGe06]","title":"3. OR-LIB/UC"},{"location":"instances/#4-tejada19","text":"Test cases used in [TeLuSa19]. These instances are similar to OR-LIB/UC, in the sense that they use the same random problem generator, but are much larger. Name Hours Buses Generators Lines Contingencies References tejada19/UC_24h_214g 24 1 214 0 0 [TeLuSa19] tejada19/UC_24h_250g 24 1 250 0 0 [TeLuSa19] tejada19/UC_24h_290g 24 1 290 0 0 [TeLuSa19] tejada19/UC_24h_480g 24 1 480 0 0 [TeLuSa19] tejada19/UC_24h_505g 24 1 505 0 0 [TeLuSa19] tejada19/UC_24h_623g 24 1 623 0 0 [TeLuSa19] tejada19/UC_24h_647g 24 1 647 0 0 [TeLuSa19] tejada19/UC_24h_836g 24 1 836 0 0 [TeLuSa19] tejada19/UC_24h_850g 24 1 850 0 0 [TeLuSa19] tejada19/UC_24h_918g 24 1 918 0 0 [TeLuSa19] tejada19/UC_24h_931g 24 1 931 0 0 [TeLuSa19] tejada19/UC_24h_940g 24 1 940 0 0 [TeLuSa19] tejada19/UC_24h_957g 24 1 957 0 0 [TeLuSa19] tejada19/UC_24h_959g 24 1 959 0 0 [TeLuSa19] tejada19/UC_24h_1069g 24 1 1069 0 0 [TeLuSa19] tejada19/UC_24h_1130g 24 1 1130 0 0 [TeLuSa19] tejada19/UC_24h_1376g 24 1 1376 0 0 [TeLuSa19] tejada19/UC_24h_1393g 24 1 1393 0 0 [TeLuSa19] tejada19/UC_24h_1577g 24 1 1577 0 0 [TeLuSa19] tejada19/UC_24h_1615g 24 1 1615 0 0 [TeLuSa19] tejada19/UC_24h_1632g 24 1 1632 0 0 [TeLuSa19] tejada19/UC_24h_1768g 24 1 1768 0 0 [TeLuSa19] tejada19/UC_24h_1804g 24 1 1804 0 0 [TeLuSa19] tejada19/UC_24h_1820g 24 1 1820 0 0 [TeLuSa19] tejada19/UC_24h_1823g 24 1 1823 0 0 [TeLuSa19] tejada19/UC_24h_1888g 24 1 1888 0 0 [TeLuSa19] tejada19/UC_168h_36g 168 1 36 0 0 [TeLuSa19] tejada19/UC_168h_38g 168 1 38 0 0 [TeLuSa19] tejada19/UC_168h_40g 168 1 40 0 0 [TeLuSa19] tejada19/UC_168h_53g 168 1 53 0 0 [TeLuSa19] tejada19/UC_168h_58g 168 1 58 0 0 [TeLuSa19] tejada19/UC_168h_59g 168 1 59 0 0 [TeLuSa19] tejada19/UC_168h_72g 168 1 72 0 0 [TeLuSa19] tejada19/UC_168h_84g 168 1 84 0 0 [TeLuSa19] tejada19/UC_168h_86g 168 1 86 0 0 [TeLuSa19] tejada19/UC_168h_88g 168 1 88 0 0 [TeLuSa19] tejada19/UC_168h_93g 168 1 93 0 0 [TeLuSa19] tejada19/UC_168h_105g 168 1 105 0 0 [TeLuSa19] tejada19/UC_168h_110g 168 1 110 0 0 [TeLuSa19] tejada19/UC_168h_125g 168 1 125 0 0 [TeLuSa19] tejada19/UC_168h_130g 168 1 130 0 0 [TeLuSa19] tejada19/UC_168h_131g 168 1 131 0 0 [TeLuSa19] tejada19/UC_168h_140g 168 1 140 0 0 [TeLuSa19] tejada19/UC_168h_165g 168 1 165 0 0 [TeLuSa19] tejada19/UC_168h_175g 168 1 175 0 0 [TeLuSa19] tejada19/UC_168h_179g 168 1 179 0 0 [TeLuSa19] tejada19/UC_168h_188g 168 1 188 0 0 [TeLuSa19] tejada19/UC_168h_192g 168 1 192 0 0 [TeLuSa19] tejada19/UC_168h_199g 168 1 199 0 0 [TeLuSa19]","title":"4. Tejada19"},{"location":"instances/#5-references","text":"[UCJL] Alinson S. Xavier, Feng Qiu. \"UnitCommitment.jl: A Julia/JuMP Optimization Package for Security-Constrained Unit Commitment\". Zenodo (2020). DOI: 10.5281/zenodo.4269874 [KnOsWa20] Bernard Knueven, James Ostrowski and Jean-Paul Watson. \"On Mixed-Integer Programming Formulations for the Unit Commitment Problem\". INFORMS Journal on Computing (2020). DOI: 10.1287/ijoc.2019.0944 [KrHiOn12] Eric Krall, Michael Higgins and Richard P. O\u2019Neill. \"RTO unit commitment test system.\" Federal Energy Regulatory Commission. Available at: https://www.ferc.gov/industries-data/electric/power-sales-and-markets/increasing-efficiency-through-improved-software-1 (Accessed: Nov 14, 2020) [BaBlEh19] Clayton Barrows, Aaron Bloom, Ali Ehlen, Jussi Ikaheimo, Jennie Jorgenson, Dheepak Krishnamurthy, Jessica Lau et al. \"The IEEE Reliability Test System: A Proposed 2019 Update.\" IEEE Transactions on Power Systems (2019). DOI: 10.1109/TPWRS.2019.2925557 [JoFlMa16] C. Josz, S. Fliscounakis, J. Maeght, and P. Panciatici. \"AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE\". ArXiv (2016) . [FlPaCa13] S. Fliscounakis, P. Panciatici, F. Capitanescu, and L. Wehenkel. \"Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive and corrective actions\", Power Systems, IEEE Trans. on, (28)4:4909-4917, 2013. DOI: 10.1109/TPWRS.2013.2251015 [MTPWR] D. Zimmerman, C. E. Murillo-Sandnchez and R. J. Thomas. \"Matpower: Steady-state operations, planning, and analysis tools forpower systems research and education\", IEEE Transactions on PowerSystems, vol. 26, no. 1, pp. 12 \u201319, Feb. 2011. DOI: 10.1109/TPWRS.2010.2051168 [PSTCA] University of Washington, Dept. of Electrical Engineering. \"Power Systems Test Case Archive\". Available at: http://www.ee.washington.edu/research/pstca/ (Accessed: Nov 14, 2020) [ORLIB] J.E.Beasley. \"OR-Library: distributing test problems by electronic mail\", Journal of the Operational Research Society 41(11) (1990). DOI: 10.2307/2582903 [FrGe06] A. Frangioni, C. Gentile. \"Solving nonlinear single-unit commitment problems with ramping constraints\" Operations Research 54(4), p. 767 - 775, 2006. DOI: 10.1287/opre.1060.0309 [TeLuSa19] D. A. Tejada-Arango, S. Lumbreras, P. Sanchez-Martin and A. Ramos. \"Which Unit-Commitment Formulation is Best? A Systematic Comparison,\" in IEEE Transactions on Power Systems. DOI: 10.1109/TPWRS.2019.2962024 .","title":"5. References"},{"location":"usage/","text":"Usage 1. Installation UnitCommitment.jl was tested and developed with Julia 1.5 . To install Julia, please follow the installation guide on the official Julia website . To install UnitCommitment.jl, run the Julia interpreter, type ] to open the package manager, then type: pkg> add UnitCommitment To test that the package has been correctly installed, run: pkg> test UnitCommitment If all tests pass, the package should now be ready to be used by any Julia script on the machine. To solve the optimization models, a mixed-integer linear programming (MILP) solver is also required. Please see the JuMP installation guide for more instructions on installing a solver. Typical open-source choices are Cbc and GLPK . In the instructions below, Cbc will be used, but any other MILP solver listed in JuMP installation guide should also be compatible. 2. Typical Usage 2.1 Solving user-provided instances The first step to use UC.jl is to construct a JSON file describing your unit commitment instance. See the data format page for a complete description of the data format UC.jl expects. The next steps, as shown below, are to read the instance from file, construct the optimization model, run the optimization and extract the optimal solution. using Cbc using JSON using UnitCommitment # Read instance instance = UnitCommitment.read(\"/path/to/input.json\") # Construct optimization model model = UnitCommitment.build_model(instance=instance, optimizer=Cbc.Optimizer) # Solve model UnitCommitment.optimize!(model) # Extract solution and write it to a file solution = UnitCommitment.get_solution(model) open(\"/path/to/output.json\", \"w\") do file JSON.print(file, solution, 2) end 2.2 Solving benchmark instances As described in the Instances page , UnitCommitment.jl contains a number of benchmark instances collected from the literature. To solve one of these instances individually, instead of constructing your own, the function read_benchmark can be used: using UnitCommitment instance = UnitCommitment.read_benchmark(\"matpower/case3375wp/2017-02-01\") 3. Advanced usage 3.1 Modifying the formulation For the time being, the recommended way of modifying the MILP formulation used by UC.jl is to create a local copy of our git repository and directly modify the source code of the package. In a future version, it will be possible to switch between multiple formulations, or to simply add/remove constraints after the model has been generated. 3.2 Generating initial conditions When creating random unit commitment instances for benchmark purposes, it is often hard to compute, in advance, sensible initial conditions for all generators. Setting initial conditions naively (for example, making all generators initially off and producing no power) can easily cause the instance to become infeasible due to excessive ramping. Initial conditions can also make it hard to modify existing instances. For example, increasing the system load without carefully modifying the initial conditions may make the problem infeasible or unrealistically challenging to solve. To help with this issue, UC.jl provides a utility function which can generate feasible initial conditions by solving a single-period optimization problem, as shown below: using Cbc using UnitCommitment # Read original instance instance = UnitCommitment.read(\"instance.json\") # Generate initial conditions (in-place) UnitCommitment.generate_initial_conditions!(instance, Cbc.Optimizer) # Construct and solve optimization model model = UnitCommitment.build_model(instance, Cbc.Optimizer) UnitCommitment.optimize!(model) Warning The function generate_initial_conditions! may return different initial conditions after each call, even if the same instance and the same optimizer is provided. The particular algorithm may also change in a future version of UC.jl. For these reasons, it is recommended that you generate initial conditions exactly once for each instance and store them for later use. 3.3 Verifying solutions When developing new formulations, it is very easy to introduce subtle errors in the model that result in incorrect solutions. To help with this, UC.jl includes a utility function that verifies if a given solution is feasible, and, if not, prints all the validation errors it found. The implementation of this function is completely independent from the implementation of the optimization model, and therefore can be used to validate it. The function can also be used to verify solutions produced by other optimization packages, as long as they follow the UC.jl data format . using JSON using UnitCommitment # Read instance instance = UnitCommitment.read(\"instance.json\") # Read solution (potentially produced by other packages) solution = JSON.parsefile(\"solution.json\") # Validate solution and print validation errors UnitCommitment.validate(instance, solution)","title":"Usage"},{"location":"usage/#usage","text":"","title":"Usage"},{"location":"usage/#1-installation","text":"UnitCommitment.jl was tested and developed with Julia 1.5 . To install Julia, please follow the installation guide on the official Julia website . To install UnitCommitment.jl, run the Julia interpreter, type ] to open the package manager, then type: pkg> add UnitCommitment To test that the package has been correctly installed, run: pkg> test UnitCommitment If all tests pass, the package should now be ready to be used by any Julia script on the machine. To solve the optimization models, a mixed-integer linear programming (MILP) solver is also required. Please see the JuMP installation guide for more instructions on installing a solver. Typical open-source choices are Cbc and GLPK . In the instructions below, Cbc will be used, but any other MILP solver listed in JuMP installation guide should also be compatible.","title":"1. Installation"},{"location":"usage/#2-typical-usage","text":"","title":"2. Typical Usage"},{"location":"usage/#21-solving-user-provided-instances","text":"The first step to use UC.jl is to construct a JSON file describing your unit commitment instance. See the data format page for a complete description of the data format UC.jl expects. The next steps, as shown below, are to read the instance from file, construct the optimization model, run the optimization and extract the optimal solution. using Cbc using JSON using UnitCommitment # Read instance instance = UnitCommitment.read(\"/path/to/input.json\") # Construct optimization model model = UnitCommitment.build_model(instance=instance, optimizer=Cbc.Optimizer) # Solve model UnitCommitment.optimize!(model) # Extract solution and write it to a file solution = UnitCommitment.get_solution(model) open(\"/path/to/output.json\", \"w\") do file JSON.print(file, solution, 2) end","title":"2.1 Solving user-provided instances"},{"location":"usage/#22-solving-benchmark-instances","text":"As described in the Instances page , UnitCommitment.jl contains a number of benchmark instances collected from the literature. To solve one of these instances individually, instead of constructing your own, the function read_benchmark can be used: using UnitCommitment instance = UnitCommitment.read_benchmark(\"matpower/case3375wp/2017-02-01\")","title":"2.2 Solving benchmark instances"},{"location":"usage/#3-advanced-usage","text":"","title":"3. Advanced usage"},{"location":"usage/#31-modifying-the-formulation","text":"For the time being, the recommended way of modifying the MILP formulation used by UC.jl is to create a local copy of our git repository and directly modify the source code of the package. In a future version, it will be possible to switch between multiple formulations, or to simply add/remove constraints after the model has been generated.","title":"3.1 Modifying the formulation"},{"location":"usage/#32-generating-initial-conditions","text":"When creating random unit commitment instances for benchmark purposes, it is often hard to compute, in advance, sensible initial conditions for all generators. Setting initial conditions naively (for example, making all generators initially off and producing no power) can easily cause the instance to become infeasible due to excessive ramping. Initial conditions can also make it hard to modify existing instances. For example, increasing the system load without carefully modifying the initial conditions may make the problem infeasible or unrealistically challenging to solve. To help with this issue, UC.jl provides a utility function which can generate feasible initial conditions by solving a single-period optimization problem, as shown below: using Cbc using UnitCommitment # Read original instance instance = UnitCommitment.read(\"instance.json\") # Generate initial conditions (in-place) UnitCommitment.generate_initial_conditions!(instance, Cbc.Optimizer) # Construct and solve optimization model model = UnitCommitment.build_model(instance, Cbc.Optimizer) UnitCommitment.optimize!(model) Warning The function generate_initial_conditions! may return different initial conditions after each call, even if the same instance and the same optimizer is provided. The particular algorithm may also change in a future version of UC.jl. For these reasons, it is recommended that you generate initial conditions exactly once for each instance and store them for later use.","title":"3.2 Generating initial conditions"},{"location":"usage/#33-verifying-solutions","text":"When developing new formulations, it is very easy to introduce subtle errors in the model that result in incorrect solutions. To help with this, UC.jl includes a utility function that verifies if a given solution is feasible, and, if not, prints all the validation errors it found. The implementation of this function is completely independent from the implementation of the optimization model, and therefore can be used to validate it. The function can also be used to verify solutions produced by other optimization packages, as long as they follow the UC.jl data format . using JSON using UnitCommitment # Read instance instance = UnitCommitment.read(\"instance.json\") # Read solution (potentially produced by other packages) solution = JSON.parsefile(\"solution.json\") # Validate solution and print validation errors UnitCommitment.validate(instance, solution)","title":"3.3 Verifying solutions"}]} \ No newline at end of file diff --git a/0.2/search/worker.js b/0.2/search/worker.js new file mode 100644 index 0000000..9cce2f7 --- /dev/null +++ b/0.2/search/worker.js @@ -0,0 +1,130 @@ +var base_path = 'function' === typeof importScripts ? '.' : '/search/'; +var allowSearch = false; +var index; +var documents = {}; +var lang = ['en']; +var data; + +function getScript(script, callback) { + console.log('Loading script: ' + script); + $.getScript(base_path + script).done(function () { + callback(); + }).fail(function (jqxhr, settings, exception) { + console.log('Error: ' + exception); + }); +} + +function getScriptsInOrder(scripts, callback) { + if (scripts.length === 0) { + callback(); + return; + } + getScript(scripts[0], function() { + getScriptsInOrder(scripts.slice(1), callback); + }); +} + +function loadScripts(urls, callback) { + if( 'function' === typeof importScripts ) { + importScripts.apply(null, urls); + callback(); + } else { + getScriptsInOrder(urls, callback); + } +} + +function onJSONLoaded () { + data = JSON.parse(this.responseText); + var scriptsToLoad = ['lunr.js']; + if (data.config && data.config.lang && data.config.lang.length) { + lang = data.config.lang; + } + if (lang.length > 1 || lang[0] !== "en") { + scriptsToLoad.push('lunr.stemmer.support.js'); + if (lang.length > 1) { + scriptsToLoad.push('lunr.multi.js'); + } + for (var i=0; i < lang.length; i++) { + if (lang[i] != 'en') { + scriptsToLoad.push(['lunr', lang[i], 'js'].join('.')); + } + } + } + loadScripts(scriptsToLoad, onScriptsLoaded); +} + +function onScriptsLoaded () { + console.log('All search scripts loaded, building Lunr index...'); + if (data.config && data.config.separator && data.config.separator.length) { + lunr.tokenizer.separator = new RegExp(data.config.separator); + } + + if (data.index) { + index = lunr.Index.load(data.index); + data.docs.forEach(function (doc) { + documents[doc.location] = doc; + }); + console.log('Lunr pre-built index loaded, search ready'); + } else { + index = lunr(function () { + if (lang.length === 1 && lang[0] !== "en" && lunr[lang[0]]) { + this.use(lunr[lang[0]]); + } else if (lang.length > 1) { + this.use(lunr.multiLanguage.apply(null, lang)); // spread operator not supported in all browsers: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Operators/Spread_operator#Browser_compatibility + } + this.field('title'); + this.field('text'); + this.ref('location'); + + for (var i=0; i < data.docs.length; i++) { + var doc = data.docs[i]; + this.add(doc); + documents[doc.location] = doc; + } + }); + console.log('Lunr index built, search ready'); + } + allowSearch = true; + postMessage({config: data.config}); + postMessage({allowSearch: allowSearch}); +} + +function init () { + var oReq = new XMLHttpRequest(); + oReq.addEventListener("load", onJSONLoaded); + var index_path = base_path + '/search_index.json'; + if( 'function' === typeof importScripts ){ + index_path = 'search_index.json'; + } + oReq.open("GET", index_path); + oReq.send(); +} + +function search (query) { + if (!allowSearch) { + console.error('Assets for search still loading'); + return; + } + + var resultDocuments = []; + var results = index.search(query); + for (var i=0; i < results.length; i++){ + var result = results[i]; + doc = documents[result.ref]; + doc.summary = doc.text.substring(0, 200); + resultDocuments.push(doc); + } + return resultDocuments; +} + +if( 'function' === typeof importScripts ) { + onmessage = function (e) { + if (e.data.init) { + init(); + } else if (e.data.query) { + postMessage({ results: search(e.data.query) }); + } else { + console.error("Worker - Unrecognized message: " + e); + } + }; +} diff --git a/0.2/sitemap.xml b/0.2/sitemap.xml new file mode 100644 index 0000000..58734a4 --- /dev/null +++ b/0.2/sitemap.xml @@ -0,0 +1,19 @@ + + + None + 2021-03-09 + daily + + None + 2021-03-09 + daily + + None + 2021-03-09 + daily + + None + 2021-03-09 + daily + + \ No newline at end of file diff --git a/0.2/sitemap.xml.gz b/0.2/sitemap.xml.gz new file mode 100644 index 0000000000000000000000000000000000000000..ea995ef5905e1be990d2b9614d4260f6351a577b GIT binary patch literal 196 zcmV;#06YI5iwFppt4Cl0|8r?{Wo=<_E_iKh0PT^n4#FT1hW9=NVK30SSVQUN=%f!o zD7GXNDu-6zUTA9K?&>Xf_uc>JAC7m=$)bl2V7zN_MHoifDc>76wD@v9mV4ZZg5QG$ z9Z?cHXz>{1e4un$76K;fNzOog7$~SQEkHL&8ELS{UQwW2+YOWKBA6Y?G)_x + + + + + + + + + + + + + Usage - UnitCommitment.jl + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+
+ +

Usage

+

1. Installation

+

UnitCommitment.jl was tested and developed with Julia 1.5. To install Julia, please follow the installation guide on the official Julia website. To install UnitCommitment.jl, run the Julia interpreter, type ] to open the package manager, then type:

+
pkg> add UnitCommitment
+
+

To test that the package has been correctly installed, run:

+
pkg> test UnitCommitment
+
+

If all tests pass, the package should now be ready to be used by any Julia script on the machine.

+

To solve the optimization models, a mixed-integer linear programming (MILP) solver is also required. Please see the JuMP installation guide for more instructions on installing a solver. Typical open-source choices are Cbc and GLPK. In the instructions below, Cbc will be used, but any other MILP solver listed in JuMP installation guide should also be compatible.

+

2. Typical Usage

+

2.1 Solving user-provided instances

+

The first step to use UC.jl is to construct a JSON file describing your unit commitment instance. See the data format page for a complete description of the data format UC.jl expects. The next steps, as shown below, are to read the instance from file, construct the optimization model, run the optimization and extract the optimal solution.

+
using Cbc
+using JSON
+using UnitCommitment
+
+# Read instance
+instance = UnitCommitment.read("/path/to/input.json")
+
+# Construct optimization model
+model = UnitCommitment.build_model(instance=instance,
+                                   optimizer=Cbc.Optimizer)
+
+# Solve model
+UnitCommitment.optimize!(model)
+
+# Extract solution and write it to a file
+solution = UnitCommitment.get_solution(model)
+open("/path/to/output.json", "w") do file
+    JSON.print(file, solution, 2)
+end
+
+

2.2 Solving benchmark instances

+

As described in the Instances page, UnitCommitment.jl contains a number of benchmark instances collected from the literature. To solve one of these instances individually, instead of constructing your own, the function read_benchmark can be used:

+
using UnitCommitment
+instance = UnitCommitment.read_benchmark("matpower/case3375wp/2017-02-01")
+
+

3. Advanced usage

+

3.1 Modifying the formulation

+

For the time being, the recommended way of modifying the MILP formulation used by UC.jl is to create a local copy of our git repository and directly modify the source code of the package. In a future version, it will be possible to switch between multiple formulations, or to simply add/remove constraints after the model has been generated.

+

3.2 Generating initial conditions

+

When creating random unit commitment instances for benchmark purposes, it is often hard to compute, in advance, sensible initial conditions for all generators. Setting initial conditions naively (for example, making all generators initially off and producing no power) can easily cause the instance to become infeasible due to excessive ramping. Initial conditions can also make it hard to modify existing instances. For example, increasing the system load without carefully modifying the initial conditions may make the problem infeasible or unrealistically challenging to solve.

+

To help with this issue, UC.jl provides a utility function which can generate feasible initial conditions by solving a single-period optimization problem, as shown below:

+
using Cbc
+using UnitCommitment
+
+# Read original instance
+instance = UnitCommitment.read("instance.json")
+
+# Generate initial conditions (in-place)
+UnitCommitment.generate_initial_conditions!(instance, Cbc.Optimizer)
+
+# Construct and solve optimization model
+model = UnitCommitment.build_model(instance, Cbc.Optimizer)
+UnitCommitment.optimize!(model)
+
+
+

Warning

+

The function generate_initial_conditions! may return different initial conditions after each call, even if the same instance and the same optimizer is provided. The particular algorithm may also change in a future version of UC.jl. For these reasons, it is recommended that you generate initial conditions exactly once for each instance and store them for later use.

+
+

3.3 Verifying solutions

+

When developing new formulations, it is very easy to introduce subtle errors in the model that result in incorrect solutions. To help with this, UC.jl includes a utility function that verifies if a given solution is feasible, and, if not, prints all the validation errors it found. The implementation of this function is completely independent from the implementation of the optimization model, and therefore can be used to validate it. The function can also be used to verify solutions produced by other optimization packages, as long as they follow the UC.jl data format.

+
using JSON
+using UnitCommitment
+
+# Read instance
+instance = UnitCommitment.read("instance.json")
+
+# Read solution (potentially produced by other packages) 
+solution = JSON.parsefile("solution.json")
+
+# Validate solution and print validation errors
+UnitCommitment.validate(instance, solution)
+
+ + +
+ + +
+ + +
+

+ Copyright © 2020, UChicago Argonne, LLC. All Rights Reserved.
+ + Documentation built with MkDocs. +

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