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authormatsuyoshi <sfbgwm30@gmail.com>2021-10-21 19:24:03 +0300
committermatsuyoshi <sfbgwm30@gmail.com>2021-10-21 19:24:03 +0300
commita81a337a2452019ab48a017d9d1827dc9f928230 (patch)
treef6a1aedae494987b94019940866ff2bd656b9254
parent52d9f1bb537d96fa9ebe5416a7067464308078c2 (diff)
Add asset files
-rw-r--r--assets/css/dark.css11
-rw-r--r--assets/css/main.css534
-rw-r--r--assets/css/syntax.css82
-rw-r--r--assets/fontawesome/css/all.min.css5
-rw-r--r--assets/fontawesome/webfonts/fa-brands-400.woffbin0 -> 89824 bytes
-rw-r--r--assets/fontawesome/webfonts/fa-brands-400.woff2bin0 -> 76548 bytes
-rw-r--r--assets/fontawesome/webfonts/fa-regular-400.woffbin0 -> 16800 bytes
-rw-r--r--assets/fontawesome/webfonts/fa-regular-400.woff2bin0 -> 13600 bytes
-rw-r--r--assets/fontawesome/webfonts/fa-solid-900.woffbin0 -> 99004 bytes
-rw-r--r--assets/fontawesome/webfonts/fa-solid-900.woff2bin0 -> 76120 bytes
-rw-r--r--assets/fonts/noto-sans-jp-v25-japanese_latin-regular.woffbin0 -> 1858664 bytes
-rw-r--r--assets/fonts/noto-sans-jp-v25-japanese_latin-regular.woff2bin0 -> 1637976 bytes
-rw-r--r--assets/fonts/roboto-v20-latin-regular.woffbin0 -> 20268 bytes
-rw-r--r--assets/fonts/roboto-v20-latin-regular.woff2bin0 -> 15736 bytes
-rw-r--r--assets/js/instantpage.min.js2
-rw-r--r--assets/js/lunr.js3475
-rw-r--r--assets/js/mark.js1068
-rw-r--r--assets/js/search.js148
-rw-r--r--assets/js/theme.js29
19 files changed, 5354 insertions, 0 deletions
diff --git a/assets/css/dark.css b/assets/css/dark.css
new file mode 100644
index 0000000..627c5be
--- /dev/null
+++ b/assets/css/dark.css
@@ -0,0 +1,11 @@
+html {
+ background-color: #171717 !important;
+}
+body {
+ filter: invert(100%) hue-rotate(180deg) brightness(105%) contrast(85%);
+ -webkit-filter: invert(100%) hue-rotate(180deg) brightness(105%) contrast(85%);
+}
+img, video, iframe, body * [style*="background-image"] {
+ filter: hue-rotate(180deg) contrast(100%) invert(100%);
+ -webkit-filter: hue-rotate(180deg) contrast(100%) invert(100%);
+} \ No newline at end of file
diff --git a/assets/css/main.css b/assets/css/main.css
new file mode 100644
index 0000000..db038c4
--- /dev/null
+++ b/assets/css/main.css
@@ -0,0 +1,534 @@
+/* noto-sans-jp-regular - japanese_latin */
+@font-face {
+ font-family: 'Noto Sans JP';
+ font-style: normal;
+ font-weight: 400;
+ font-display: swap;
+ src: local('Noto Sans Japanese Regular'), local('NotoSansJapanese-Regular'),
+ url('../fonts/noto-sans-jp-v25-japanese_latin-regular.woff2') format('woff2'), /* Super Modern Browsers */
+ url('../fonts/noto-sans-jp-v25-japanese_latin-regular.woff') format('woff'); /* Modern Browsers */
+}
+
+/* roboto-regular - latin */
+@font-face {
+ font-family: 'Roboto';
+ font-style: normal;
+ font-weight: 400;
+ font-display: swap;
+ src: local('Roboto'), local('Roboto-Regular'),
+ url('../fonts/roboto-v20-latin-regular.woff2') format('woff2'), /* Super Modern Browsers */
+ url('../fonts/roboto-v20-latin-regular.woff') format('woff'); /* Modern Browsers */
+}
+
+html {
+ background-color: #FFFFFF;
+}
+
+body {
+ margin: 0;
+ padding: 0;
+ font-family: 'Noto Sans JP', sans-serif;
+ font-size: 16px;
+ color: #42464c;
+ background: 0 0;
+ flex-flow: column;
+ text-rendering: optimizeLegibility;
+}
+
+a {
+ outline: none;
+ text-decoration: none;
+}
+
+.error-text {
+ font-family: 'Roboto', Helvetica, sans-serif;
+ text-align: center;
+}
+
+.header {
+ margin: auto;
+ position: relative;
+}
+
+.navbar {
+ min-height: 50px;
+ margin-bottom: 20px;
+}
+
+.nav {
+ top: 0;
+ position: relative;
+ max-width: 800px;
+ margin: 20px auto;
+ padding: 0 10px;
+ text-align: right;
+}
+
+.nav-logo {
+ float: left;
+ transition: transform 300ms ease-out;
+}
+
+.nav-logo:hover {
+ transform: scale(1.1);
+}
+
+.nav-logo img {
+ display: block;
+ width: auto;
+}
+
+.nav-links {
+ margin: 0;
+ padding: 0;
+ font-size: 14px;
+ list-style: none;
+}
+
+.nav-links li {
+ display: inline-block;
+ margin: 0 0 0 10px;
+}
+
+.nav-links li a em {
+ color: #000000;
+}
+
+.intro-header {
+ margin: 40px 0 20px;
+ position: relative;
+}
+
+.intro-header [class$="-heading"] {
+ text-align: center;
+}
+
+.intro-header [class$="-heading"] h1 {
+ margin-top: 0;
+ padding-top: 0;
+ font-size: 50px;
+}
+
+h1,h2,h3,h4,h5,h6 {
+ font-family: 'Roboto', Helvetica, sans-serif;
+ font-weight: 800;
+ color: #111111;
+}
+
+.container[role=main] {
+ max-width: 700px;
+ padding: 0 15px;
+ font-size: 16px;
+ line-height: 1.7;
+ color: #333333;
+}
+
+.container img {
+ max-width: 100%;
+}
+
+#blog-archives {
+ margin: 20px auto;
+ font-size: 14px;
+}
+
+.archives {
+ margin: 20px auto;
+}
+
+.archives td {
+ border: none;
+ text-align: left;
+}
+
+.article {
+ text-align: justify;
+}
+
+#TableOfContents {
+ font-size: 14px;
+ border: 2px dotted #cccccc;
+ margin: 1em 0;
+ padding: 0.5em 0;
+ background-color: #f0f0f0;
+}
+
+#TableOfContents ul {
+ list-style-type: none;
+}
+
+#TableOfContents ul ul {
+ list-style-type: disc;
+}
+
+p {
+ line-height: 1.5;
+ margin: 0.5em 0;
+}
+
+p + p {
+ margin-top: 1em;
+}
+
+.social-icon {
+ margin-left: 0.2em;
+ margin-right: 0.2em;
+}
+
+.post-preview {
+ padding-bottom: 10px;
+ border-bottom: 1px solid #eeeeee;
+}
+
+.post-preview a {
+ text-decoration: none;
+ color: #222222;
+}
+
+.post-preview:last-child {
+ border-bottom: 0;
+}
+
+.postmeta {
+ margin: 10px 0;
+}
+
+.blog-tags {
+ font-family: 'Roboto', Helvetica, sans-serif;
+ color: #999999;
+ font-size: 15px;
+ margin: 30px 0;
+}
+
+.blog-tags a {
+ color: #0000BB;
+ text-decoration: none;
+ padding: 0px 5px;
+}
+
+.blog-tags a:before {
+ content: "#";
+}
+
+h4.term-name > span.badge {
+ float: right;
+}
+
+div.panel-body {
+ font-family: 'Roboto', Helvetica, sans-serif;
+ font-weight: 800;
+ border-radius: 0;
+ border: none;
+ font-size: 16px;
+}
+
+.post-entry {
+ width: 100%;
+ margin-top: 10px;
+}
+
+.post-read-more {
+ font-family: 'Roboto', Helvetica, sans-serif;
+ font-weight: 800;
+ float: right;
+ position: relative;
+ display: block;
+ text-decoration: none;
+}
+
+a.post-read-more::after {
+ position: absolute;
+ bottom: -4px;
+ left: 0;
+ content: '';
+ width: 100%;
+ height: 2px;
+ background: #333;
+ transform: scale(0, 1);
+ transform-origin: center top;
+ transition: transform .3s;
+}
+
+a.post-read-more:hover::after {
+ transform: scale(1, 1);
+}
+
+blockquote {
+ color: #808080;
+ padding: 0 10px;
+ border-left: 4px solid #aaaaaa;
+}
+
+blockquote p:first-child {
+ margin-top: 0;
+}
+
+table {
+ padding: 0;
+ border-spacing: 0;
+}
+
+table tr {
+ border-top: 1px solid #dddddd;
+ margin: 0;
+ padding: 0;
+}
+
+table tr th {
+ font-weight: bold;
+ border: 1px solid #dddddd;
+ text-align: left;
+ margin: 0;
+ padding: 6px 13px;
+}
+
+table tr td {
+ border: 1px solid #dddddd;
+ text-align: left;
+ margin: 0;
+ padding: 6px 12px;
+}
+
+table tr th :first-child,
+table tr td :first-child {
+ margin-top: 0;
+}
+
+table tr th :last-child,
+table tr td :last-child {
+ margin-bottom: 0;
+}
+
+.chroma .ln {
+ margin-right: 0.8em;
+ padding: 0 0.4em 0 0.4em;
+}
+
+pre {
+ display: block;
+ padding: 9.5px;
+ margin: 0 0 10px;
+ font-size: 13px;
+ line-height: 1.42857143;
+ color: #333;
+ word-break: break-all;
+ word-wrap: break-word;
+ background-color: #f5f5f5;
+ border: 1px solid #cccccc;
+ border-radius: 4px;
+}
+
+pre code {
+ padding: 0;
+ font-family: Menlo, Monaco, Consolas, monospace;
+ font-size: inherit;
+ color: inherit;
+ white-space: pre-wrap;
+ background-color: transparent;
+ border-radius: 0;
+}
+
+code {
+ padding: 2px 4px;
+ font-size: 90%;
+ color: #dd0011;
+ background-color: #f9f9f9;
+ border-radius: 4px;
+}
+
+#backtotopButton {
+ position: fixed;
+ bottom: 20px;
+ right: 20px;
+ z-index: 99;
+ border: none;
+ outline: none;
+ background-color: #eeeeff;
+ cursor: pointer;
+ padding: 15px;
+ border-radius: 10px;
+ font-size: 16px;
+ text-align: center;
+}
+
+#backtotopButton:hover {
+ background-color: #aaaaaa;
+}
+
+.searchBoxContainer {
+ position: relative;
+ width: 300px;
+ height: 30px;
+ margin: 10px auto 50px auto;
+}
+
+input.searchBox {
+ position: absolute;
+ width: 100%;
+ padding: 0 35px 0 15px;
+ top: 0;
+ left: 0;
+ right: 0;
+ bottom: 0;
+ border-radius: 15px;
+ outline: 0;
+ font-size: 16px;
+ color: #707070;
+ background-color:#f6f6f6;
+ border: solid 1px #c9c9c9;
+ box-sizing: border-box;
+}
+
+.searchBox::placeholder {
+ color: #c9c9c9;
+}
+
+.searchResults {
+ display: none;
+ max-width: 600px;
+ min-width: 300px;
+ margin: 0 auto;
+ top: 210px;
+ left: 0;
+ right: 0;
+ padding: 5px;
+ border-radius: 5px;
+ text-align: left;
+}
+
+.searchResultPage {
+ padding: 14px
+}
+
+.searchResultTitle {
+ font-family: 'Roboto', Helvetica, sans-serif;
+ font-weight: bold;
+ font-size: 24px;
+ margin: 5px 0;
+}
+
+.searchResultBody {
+ font-size: 16px;
+}
+
+mark {
+ background-color: #eeff00;
+}
+
+.pager {
+ list-style: none;
+ text-align: center;
+ margin:20px 0 0;
+ padding-left: 0;
+}
+
+.pager ul {
+ display: block;
+}
+
+.pager li {
+ display: inline;
+}
+
+.pager li a {
+ box-sizing: border-box;
+ font-family: 'Roboto', Helvetica, sans-serif;
+ text-transform: uppercase;
+ text-align: center;
+ font-size: 14px;
+ font-weight: 800;
+ letter-spacing: 1px;
+ padding: 10px 5px;
+ background: #ffffff;
+ border-radius: 0;
+ border: 1px solid #dddddd;
+ display: inline-block;
+ color: #404040;
+ text-decoration: none;
+}
+
+.pager a:hover:not(.active) {
+ background-color: #dddddd;
+}
+
+.pager .previous > a {
+ float: left;
+ display: block;
+}
+
+.pager .next > a {
+ float: right;
+ display: block;
+}
+
+footer {
+ padding: 60px 0;
+ text-align: center;
+ margin-top: auto;
+ font-size: 14px;
+ font-family: 'Roboto', Helvetica, sans-serif;
+}
+
+footer .social-icons a {
+ width: 1em;
+ height: 1em;
+}
+
+footer .social-icons a img {
+ width: 1em;
+ height: 1em;
+ vertical-align: top;
+}
+
+footer .copyright {
+ font-family: 'Roboto', Helvetica, sans-serif;
+ text-align: center;
+ margin-top: 10px;
+ margin-bottom: 0;
+}
+
+footer .theme-by {
+ text-align: center;
+ margin: 10px 0 0;
+}
+
+footer a {
+ color: #050505;
+ font-weight: bold;
+}
+
+footer em {
+ cursor: pointer;
+}
+
+@media (min-width: 600px) {
+ .header {
+ margin: auto;
+ }
+
+ .nav-links {
+ font-size: 18px;
+ }
+
+ .nav-links li {
+ margin: 0 0 0 30px;
+ }
+
+ .container[role=main] {
+ font-size: 16px;
+ line-height: 1.8;
+ margin: 40px auto;
+ }
+
+ .blog-tags {
+ margin: 20px 0;
+ }
+
+ .pager li a {
+ padding: 10px 20px;
+ }
+
+ .pager.blog-pager {
+ margin-top: 40px;
+ }
+}
diff --git a/assets/css/syntax.css b/assets/css/syntax.css
new file mode 100644
index 0000000..cbf8b7f
--- /dev/null
+++ b/assets/css/syntax.css
@@ -0,0 +1,82 @@
+/* Background */ .chroma { background-color: #f8f8f8 }
+/* Other */ .chroma .x { color: #000000 }
+/* Error */ .chroma .err { color: #a40000 }
+/* LineTableTD */ .chroma .lntd { vertical-align: top; padding: 0; margin: 0; border: 0; }
+/* LineTable */ .chroma .lntable { border-spacing: 0; padding: 0; margin: 0; border: 0; width: auto; overflow: auto; display: block; }
+/* LineHighlight */ .chroma .hl { display: block; width: 100%;background-color: #ffffcc }
+/* LineNumbersTable */ .chroma .lnt { margin-right: 0.4em; padding: 0 0.4em 0 0.4em;color: #7f7f7f }
+/* LineNumbers */ .chroma .ln { margin-right: 0.4em; padding: 0 0.4em 0 0.4em;color: #7f7f7f }
+/* Keyword */ .chroma .k { color: #204a87; font-weight: bold }
+/* KeywordConstant */ .chroma .kc { color: #204a87; font-weight: bold }
+/* KeywordDeclaration */ .chroma .kd { color: #204a87; font-weight: bold }
+/* KeywordNamespace */ .chroma .kn { color: #204a87; font-weight: bold }
+/* KeywordPseudo */ .chroma .kp { color: #204a87; font-weight: bold }
+/* KeywordReserved */ .chroma .kr { color: #204a87; font-weight: bold }
+/* KeywordType */ .chroma .kt { color: #204a87; font-weight: bold }
+/* Name */ .chroma .n { color: #000000 }
+/* NameAttribute */ .chroma .na { color: #c4a000 }
+/* NameBuiltin */ .chroma .nb { color: #204a87 }
+/* NameBuiltinPseudo */ .chroma .bp { color: #3465a4 }
+/* NameClass */ .chroma .nc { color: #000000 }
+/* NameConstant */ .chroma .no { color: #000000 }
+/* NameDecorator */ .chroma .nd { color: #5c35cc; font-weight: bold }
+/* NameEntity */ .chroma .ni { color: #ce5c00 }
+/* NameException */ .chroma .ne { color: #cc0000; font-weight: bold }
+/* NameFunction */ .chroma .nf { color: #000000 }
+/* NameFunctionMagic */ .chroma .fm { color: #000000 }
+/* NameLabel */ .chroma .nl { color: #f57900 }
+/* NameNamespace */ .chroma .nn { color: #000000 }
+/* NameOther */ .chroma .nx { color: #000000 }
+/* NameProperty */ .chroma .py { color: #000000 }
+/* NameTag */ .chroma .nt { color: #204a87; font-weight: bold }
+/* NameVariable */ .chroma .nv { color: #000000 }
+/* NameVariableClass */ .chroma .vc { color: #000000 }
+/* NameVariableGlobal */ .chroma .vg { color: #000000 }
+/* NameVariableInstance */ .chroma .vi { color: #000000 }
+/* NameVariableMagic */ .chroma .vm { color: #000000 }
+/* Literal */ .chroma .l { color: #000000 }
+/* LiteralDate */ .chroma .ld { color: #000000 }
+/* LiteralString */ .chroma .s { color: #4e9a06 }
+/* LiteralStringAffix */ .chroma .sa { color: #4e9a06 }
+/* LiteralStringBacktick */ .chroma .sb { color: #4e9a06 }
+/* LiteralStringChar */ .chroma .sc { color: #4e9a06 }
+/* LiteralStringDelimiter */ .chroma .dl { color: #4e9a06 }
+/* LiteralStringDoc */ .chroma .sd { color: #8f5902; font-style: italic }
+/* LiteralStringDouble */ .chroma .s2 { color: #4e9a06 }
+/* LiteralStringEscape */ .chroma .se { color: #4e9a06 }
+/* LiteralStringHeredoc */ .chroma .sh { color: #4e9a06 }
+/* LiteralStringInterpol */ .chroma .si { color: #4e9a06 }
+/* LiteralStringOther */ .chroma .sx { color: #4e9a06 }
+/* LiteralStringRegex */ .chroma .sr { color: #4e9a06 }
+/* LiteralStringSingle */ .chroma .s1 { color: #4e9a06 }
+/* LiteralStringSymbol */ .chroma .ss { color: #4e9a06 }
+/* LiteralNumber */ .chroma .m { color: #0000cf; font-weight: bold }
+/* LiteralNumberBin */ .chroma .mb { color: #0000cf; font-weight: bold }
+/* LiteralNumberFloat */ .chroma .mf { color: #0000cf; font-weight: bold }
+/* LiteralNumberHex */ .chroma .mh { color: #0000cf; font-weight: bold }
+/* LiteralNumberInteger */ .chroma .mi { color: #0000cf; font-weight: bold }
+/* LiteralNumberIntegerLong */ .chroma .il { color: #0000cf; font-weight: bold }
+/* LiteralNumberOct */ .chroma .mo { color: #0000cf; font-weight: bold }
+/* Operator */ .chroma .o { color: #ce5c00; font-weight: bold }
+/* OperatorWord */ .chroma .ow { color: #204a87; font-weight: bold }
+/* Punctuation */ .chroma .p { color: #000000; font-weight: bold }
+/* Comment */ .chroma .c { color: #8f5902; font-style: italic }
+/* CommentHashbang */ .chroma .ch { color: #8f5902; font-style: italic }
+/* CommentMultiline */ .chroma .cm { color: #8f5902; font-style: italic }
+/* CommentSingle */ .chroma .c1 { color: #8f5902; font-style: italic }
+/* CommentSpecial */ .chroma .cs { color: #8f5902; font-style: italic }
+/* CommentPreproc */ .chroma .cp { color: #8f5902; font-style: italic }
+/* CommentPreprocFile */ .chroma .cpf { color: #8f5902; font-style: italic }
+/* Generic */ .chroma .g { color: #000000 }
+/* GenericDeleted */ .chroma .gd { color: #a40000 }
+/* GenericEmph */ .chroma .ge { color: #000000; font-style: italic }
+/* GenericError */ .chroma .gr { color: #ef2929 }
+/* GenericHeading */ .chroma .gh { color: #000080; font-weight: bold }
+/* GenericInserted */ .chroma .gi { color: #00a000 }
+/* GenericOutput */ .chroma .go { color: #000000; font-style: italic }
+/* GenericPrompt */ .chroma .gp { color: #8f5902 }
+/* GenericStrong */ .chroma .gs { color: #000000; font-weight: bold }
+/* GenericSubheading */ .chroma .gu { color: #800080; font-weight: bold }
+/* GenericTraceback */ .chroma .gt { color: #a40000; font-weight: bold }
+/* GenericUnderline */ .chroma .gl { color: #000000; text-decoration: underline }
+/* TextWhitespace */ .chroma .w { color: #f8f8f8; text-decoration: underline }
diff --git a/assets/fontawesome/css/all.min.css b/assets/fontawesome/css/all.min.css
new file mode 100644
index 0000000..d16a4d5
--- /dev/null
+++ b/assets/fontawesome/css/all.min.css
@@ -0,0 +1,5 @@
+/*!
+ * Font Awesome Free 5.12.1 by @fontawesome - https://fontawesome.com
+ * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License)
+ */
+.fa,.fab,.fad,.fal,.far,.fas{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;display:inline-block;font-style:normal;font-variant:normal;text-rendering:auto;line-height:1}.fa-lg{font-size:1.33333em;line-height:.75em;vertical-align:-.0667em}.fa-xs{font-size:.75em}.fa-sm{font-size:.875em}.fa-1x{font-size:1em}.fa-2x{font-size:2em}.fa-3x{font-size:3em}.fa-4x{font-size:4em}.fa-5x{font-size:5em}.fa-6x{font-size:6em}.fa-7x{font-size:7em}.fa-8x{font-size:8em}.fa-9x{font-size:9em}.fa-10x{font-size:10em}.fa-fw{text-align:center;width:1.25em}.fa-ul{list-style-type:none;margin-left:2.5em;padding-left:0}.fa-ul>li{position:relative}.fa-li{left:-2em;position:absolute;text-align:center;width:2em;line-height:inherit}.fa-border{border:.08em solid #eee;border-radius:.1em;padding:.2em .25em .15em}.fa-pull-left{float:left}.fa-pull-right{float:right}.fa.fa-pull-left,.fab.fa-pull-left,.fal.fa-pull-left,.far.fa-pull-left,.fas.fa-pull-left{margin-right:.3em}.fa.fa-pull-right,.fab.fa-pull-right,.fal.fa-pull-right,.far.fa-pull-right,.fas.fa-pull-right{margin-left:.3em}.fa-spin{-webkit-animation:fa-spin 2s linear infinite;animation:fa-spin 2s linear infinite}.fa-pulse{-webkit-animation:fa-spin 1s steps(8) infinite;animation:fa-spin 1s steps(8) infinite}@-webkit-keyframes fa-spin{0%{-webkit-transform:rotate(0deg);transform:rotate(0deg)}to{-webkit-transform:rotate(1turn);transform:rotate(1turn)}}@keyframes 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diff --git a/assets/fontawesome/webfonts/fa-solid-900.woff b/assets/fontawesome/webfonts/fa-solid-900.woff
new file mode 100644
index 0000000..3c9ef93
--- /dev/null
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diff --git a/assets/fonts/noto-sans-jp-v25-japanese_latin-regular.woff b/assets/fonts/noto-sans-jp-v25-japanese_latin-regular.woff
new file mode 100644
index 0000000..3112566
--- /dev/null
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new file mode 100644
index 0000000..b648b37
--- /dev/null
+++ b/assets/fonts/noto-sans-jp-v25-japanese_latin-regular.woff2
Binary files differ
diff --git a/assets/fonts/roboto-v20-latin-regular.woff b/assets/fonts/roboto-v20-latin-regular.woff
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diff --git a/assets/js/instantpage.min.js b/assets/js/instantpage.min.js
new file mode 100644
index 0000000..a2a5ea3
--- /dev/null
+++ b/assets/js/instantpage.min.js
@@ -0,0 +1,2 @@
+/*! instant.page v5.1.0 - (C) 2019-2020 Alexandre Dieulot - https://instant.page/license */
+let t,e;const n=new Set,o=document.createElement("link"),i=o.relList&&o.relList.supports&&o.relList.supports("prefetch")&&window.IntersectionObserver&&"isIntersecting"in IntersectionObserverEntry.prototype,s="instantAllowQueryString"in document.body.dataset,a="instantAllowExternalLinks"in document.body.dataset,r="instantWhitelist"in document.body.dataset,c="instantMousedownShortcut"in document.body.dataset,d=1111;let l=65,u=!1,f=!1,m=!1;if("instantIntensity"in document.body.dataset){const t=document.body.dataset.instantIntensity;if("mousedown"==t.substr(0,"mousedown".length))u=!0,"mousedown-only"==t&&(f=!0);else if("viewport"==t.substr(0,"viewport".length))navigator.connection&&(navigator.connection.saveData||navigator.connection.effectiveType&&navigator.connection.effectiveType.includes("2g"))||("viewport"==t?document.documentElement.clientWidth*document.documentElement.clientHeight<45e4&&(m=!0):"viewport-all"==t&&(m=!0));else{const e=parseInt(t);isNaN(e)||(l=e)}}if(i){const n={capture:!0,passive:!0};if(f||document.addEventListener("touchstart",function(t){e=performance.now();const n=t.target.closest("a");if(!h(n))return;v(n.href)},n),u?c||document.addEventListener("mousedown",function(t){const e=t.target.closest("a");if(!h(e))return;v(e.href)},n):document.addEventListener("mouseover",function(n){if(performance.now()-e<d)return;const o=n.target.closest("a");if(!h(o))return;o.addEventListener("mouseout",p,{passive:!0}),t=setTimeout(()=>{v(o.href),t=void 0},l)},n),c&&document.addEventListener("mousedown",function(t){if(performance.now()-e<d)return;const n=t.target.closest("a");if(t.which>1||t.metaKey||t.ctrlKey)return;if(!n)return;n.addEventListener("click",function(t){1337!=t.detail&&t.preventDefault()},{capture:!0,passive:!1,once:!0});const o=new MouseEvent("click",{view:window,bubbles:!0,cancelable:!1,detail:1337});n.dispatchEvent(o)},n),m){let t;(t=window.requestIdleCallback?t=>{requestIdleCallback(t,{timeout:1500})}:t=>{t()})(()=>{const t=new IntersectionObserver(e=>{e.forEach(e=>{if(e.isIntersecting){const n=e.target;t.unobserve(n),v(n.href)}})});document.querySelectorAll("a").forEach(e=>{h(e)&&t.observe(e)})})}}function p(e){e.relatedTarget&&e.target.closest("a")==e.relatedTarget.closest("a")||t&&(clearTimeout(t),t=void 0)}function h(t){if(t&&t.href&&(!r||"instant"in t.dataset)&&(a||t.origin==location.origin||"instant"in t.dataset)&&["http:","https:"].includes(t.protocol)&&("http:"!=t.protocol||"https:"!=location.protocol)&&(s||!t.search||"instant"in t.dataset)&&!(t.hash&&t.pathname+t.search==location.pathname+location.search||"noInstant"in t.dataset))return!0}function v(t){if(n.has(t))return;const e=document.createElement("link");e.rel="prefetch",e.href=t,document.head.appendChild(e),n.add(t)}
diff --git a/assets/js/lunr.js b/assets/js/lunr.js
new file mode 100644
index 0000000..6aa370f
--- /dev/null
+++ b/assets/js/lunr.js
@@ -0,0 +1,3475 @@
+/**
+ * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.9
+ * Copyright (C) 2020 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 = "2.3.9"
+/*!
+ * lunr.utils
+ * Copyright (C) 2020 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) 2020 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 () {
+ return this
+ },
+
+ 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) 2020 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) 2020 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) 2020 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) 2020 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) 2020 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) 2020 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) 2020 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) 2020 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<string, lunr.Vector>} 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 <caption>Simple single term query</caption>
+ * hello
+ * @example <caption>Multiple term query</caption>
+ * hello world
+ * @example <caption>term scoped to a field</caption>
+ * title:hello
+ * @example <caption>term with a boost of 10</caption>
+ * hello^10
+ * @example <caption>term with an edit distance of 2</caption>
+ * hello~2
+ * @example <caption>terms with presence modifiers</caption>
+ * -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.empty
+
+ 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) 2020 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 <caption>Extracting a nested field</caption>
+ * 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 <caption>query term with trailing wildcard</caption>
+ * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })
+ * @example <caption>query term with leading and trailing wildcard</caption>
+ * 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 <caption>query term with required presence</caption>
+ * 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 <caption>adding a single term to a query</caption>
+ * query.term("foo")
+ * @example <caption>adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard</caption>
+ * query.term("foo", {
+ * fields: ["title"],
+ * boost: 10,
+ * wildcard: lunr.Query.wildcard.TRAILING
+ * })
+ * @example <caption>using lunr.tokenizer to convert a string to tokens before using them as terms</caption>
+ * 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/assets/js/mark.js b/assets/js/mark.js
new file mode 100644
index 0000000..b8ec0e2
--- /dev/null
+++ b/assets/js/mark.js
@@ -0,0 +1,1068 @@
+/*!***************************************************
+* mark.js v8.11.1
+* https://markjs.io/
+* Copyright (c) 2014–2018, Julian Kühnel
+* Released under the MIT license https://git.io/vwTVl
+*****************************************************/
+
+(function (global, factory) {
+ typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = factory() :
+ typeof define === 'function' && define.amd ? define(factory) :
+ (global.Mark = factory());
+}(this, (function () { 'use strict';
+
+var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) {
+ return typeof obj;
+} : function (obj) {
+ return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj;
+};
+
+
+
+
+
+
+
+
+
+
+
+var classCallCheck = function (instance, Constructor) {
+ if (!(instance instanceof Constructor)) {
+ throw new TypeError("Cannot call a class as a function");
+ }
+};
+
+var createClass = function () {
+ function defineProperties(target, props) {
+ for (var i = 0; i < props.length; i++) {
+ var descriptor = props[i];
+ descriptor.enumerable = descriptor.enumerable || false;
+ descriptor.configurable = true;
+ if ("value" in descriptor) descriptor.writable = true;
+ Object.defineProperty(target, descriptor.key, descriptor);
+ }
+ }
+
+ return function (Constructor, protoProps, staticProps) {
+ if (protoProps) defineProperties(Constructor.prototype, protoProps);
+ if (staticProps) defineProperties(Constructor, staticProps);
+ return Constructor;
+ };
+}();
+
+
+
+
+
+
+
+var _extends = Object.assign || function (target) {
+ for (var i = 1; i < arguments.length; i++) {
+ var source = arguments[i];
+
+ for (var key in source) {
+ if (Object.prototype.hasOwnProperty.call(source, key)) {
+ target[key] = source[key];
+ }
+ }
+ }
+
+ return target;
+};
+
+var DOMIterator = function () {
+ function DOMIterator(ctx) {
+ var iframes = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : true;
+ var exclude = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : [];
+ var iframesTimeout = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : 5000;
+ classCallCheck(this, DOMIterator);
+
+ this.ctx = ctx;
+ this.iframes = iframes;
+ this.exclude = exclude;
+ this.iframesTimeout = iframesTimeout;
+ }
+
+ createClass(DOMIterator, [{
+ key: 'getContexts',
+ value: function getContexts() {
+ var ctx = void 0,
+ filteredCtx = [];
+ if (typeof this.ctx === 'undefined' || !this.ctx) {
+ ctx = [];
+ } else if (NodeList.prototype.isPrototypeOf(this.ctx)) {
+ ctx = Array.prototype.slice.call(this.ctx);
+ } else if (Array.isArray(this.ctx)) {
+ ctx = this.ctx;
+ } else if (typeof this.ctx === 'string') {
+ ctx = Array.prototype.slice.call(document.querySelectorAll(this.ctx));
+ } else {
+ ctx = [this.ctx];
+ }
+ ctx.forEach(function (ctx) {
+ var isDescendant = filteredCtx.filter(function (contexts) {
+ return contexts.contains(ctx);
+ }).length > 0;
+ if (filteredCtx.indexOf(ctx) === -1 && !isDescendant) {
+ filteredCtx.push(ctx);
+ }
+ });
+ return filteredCtx;
+ }
+ }, {
+ key: 'getIframeContents',
+ value: function getIframeContents(ifr, successFn) {
+ var errorFn = arguments.length > 2 && arguments[2] !== undefined ? arguments[2] : function () {};
+
+ var doc = void 0;
+ try {
+ var ifrWin = ifr.contentWindow;
+ doc = ifrWin.document;
+ if (!ifrWin || !doc) {
+ throw new Error('iframe inaccessible');
+ }
+ } catch (e) {
+ errorFn();
+ }
+ if (doc) {
+ successFn(doc);
+ }
+ }
+ }, {
+ key: 'isIframeBlank',
+ value: function isIframeBlank(ifr) {
+ var bl = 'about:blank',
+ src = ifr.getAttribute('src').trim(),
+ href = ifr.contentWindow.location.href;
+ return href === bl && src !== bl && src;
+ }
+ }, {
+ key: 'observeIframeLoad',
+ value: function observeIframeLoad(ifr, successFn, errorFn) {
+ var _this = this;
+
+ var called = false,
+ tout = null;
+ var listener = function listener() {
+ if (called) {
+ return;
+ }
+ called = true;
+ clearTimeout(tout);
+ try {
+ if (!_this.isIframeBlank(ifr)) {
+ ifr.removeEventListener('load', listener);
+ _this.getIframeContents(ifr, successFn, errorFn);
+ }
+ } catch (e) {
+ errorFn();
+ }
+ };
+ ifr.addEventListener('load', listener);
+ tout = setTimeout(listener, this.iframesTimeout);
+ }
+ }, {
+ key: 'onIframeReady',
+ value: function onIframeReady(ifr, successFn, errorFn) {
+ try {
+ if (ifr.contentWindow.document.readyState === 'complete') {
+ if (this.isIframeBlank(ifr)) {
+ this.observeIframeLoad(ifr, successFn, errorFn);
+ } else {
+ this.getIframeContents(ifr, successFn, errorFn);
+ }
+ } else {
+ this.observeIframeLoad(ifr, successFn, errorFn);
+ }
+ } catch (e) {
+ errorFn();
+ }
+ }
+ }, {
+ key: 'waitForIframes',
+ value: function waitForIframes(ctx, done) {
+ var _this2 = this;
+
+ var eachCalled = 0;
+ this.forEachIframe(ctx, function () {
+ return true;
+ }, function (ifr) {
+ eachCalled++;
+ _this2.waitForIframes(ifr.querySelector('html'), function () {
+ if (! --eachCalled) {
+ done();
+ }
+ });
+ }, function (handled) {
+ if (!handled) {
+ done();
+ }
+ });
+ }
+ }, {
+ key: 'forEachIframe',
+ value: function forEachIframe(ctx, filter, each) {
+ var _this3 = this;
+
+ var end = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : function () {};
+
+ var ifr = ctx.querySelectorAll('iframe'),
+ open = ifr.length,
+ handled = 0;
+ ifr = Array.prototype.slice.call(ifr);
+ var checkEnd = function checkEnd() {
+ if (--open <= 0) {
+ end(handled);
+ }
+ };
+ if (!open) {
+ checkEnd();
+ }
+ ifr.forEach(function (ifr) {
+ if (DOMIterator.matches(ifr, _this3.exclude)) {
+ checkEnd();
+ } else {
+ _this3.onIframeReady(ifr, function (con) {
+ if (filter(ifr)) {
+ handled++;
+ each(con);
+ }
+ checkEnd();
+ }, checkEnd);
+ }
+ });
+ }
+ }, {
+ key: 'createIterator',
+ value: function createIterator(ctx, whatToShow, filter) {
+ return document.createNodeIterator(ctx, whatToShow, filter, false);
+ }
+ }, {
+ key: 'createInstanceOnIframe',
+ value: function createInstanceOnIframe(contents) {
+ return new DOMIterator(contents.querySelector('html'), this.iframes);
+ }
+ }, {
+ key: 'compareNodeIframe',
+ value: function compareNodeIframe(node, prevNode, ifr) {
+ var compCurr = node.compareDocumentPosition(ifr),
+ prev = Node.DOCUMENT_POSITION_PRECEDING;
+ if (compCurr & prev) {
+ if (prevNode !== null) {
+ var compPrev = prevNode.compareDocumentPosition(ifr),
+ after = Node.DOCUMENT_POSITION_FOLLOWING;
+ if (compPrev & after) {
+ return true;
+ }
+ } else {
+ return true;
+ }
+ }
+ return false;
+ }
+ }, {
+ key: 'getIteratorNode',
+ value: function getIteratorNode(itr) {
+ var prevNode = itr.previousNode();
+ var node = void 0;
+ if (prevNode === null) {
+ node = itr.nextNode();
+ } else {
+ node = itr.nextNode() && itr.nextNode();
+ }
+ return {
+ prevNode: prevNode,
+ node: node
+ };
+ }
+ }, {
+ key: 'checkIframeFilter',
+ value: function checkIframeFilter(node, prevNode, currIfr, ifr) {
+ var key = false,
+ handled = false;
+ ifr.forEach(function (ifrDict, i) {
+ if (ifrDict.val === currIfr) {
+ key = i;
+ handled = ifrDict.handled;
+ }
+ });
+ if (this.compareNodeIframe(node, prevNode, currIfr)) {
+ if (key === false && !handled) {
+ ifr.push({
+ val: currIfr,
+ handled: true
+ });
+ } else if (key !== false && !handled) {
+ ifr[key].handled = true;
+ }
+ return true;
+ }
+ if (key === false) {
+ ifr.push({
+ val: currIfr,
+ handled: false
+ });
+ }
+ return false;
+ }
+ }, {
+ key: 'handleOpenIframes',
+ value: function handleOpenIframes(ifr, whatToShow, eCb, fCb) {
+ var _this4 = this;
+
+ ifr.forEach(function (ifrDict) {
+ if (!ifrDict.handled) {
+ _this4.getIframeContents(ifrDict.val, function (con) {
+ _this4.createInstanceOnIframe(con).forEachNode(whatToShow, eCb, fCb);
+ });
+ }
+ });
+ }
+ }, {
+ key: 'iterateThroughNodes',
+ value: function iterateThroughNodes(whatToShow, ctx, eachCb, filterCb, doneCb) {
+ var _this5 = this;
+
+ var itr = this.createIterator(ctx, whatToShow, filterCb);
+ var ifr = [],
+ elements = [],
+ node = void 0,
+ prevNode = void 0,
+ retrieveNodes = function retrieveNodes() {
+ var _getIteratorNode = _this5.getIteratorNode(itr);
+
+ prevNode = _getIteratorNode.prevNode;
+ node = _getIteratorNode.node;
+
+ return node;
+ };
+ while (retrieveNodes()) {
+ if (this.iframes) {
+ this.forEachIframe(ctx, function (currIfr) {
+ return _this5.checkIframeFilter(node, prevNode, currIfr, ifr);
+ }, function (con) {
+ _this5.createInstanceOnIframe(con).forEachNode(whatToShow, function (ifrNode) {
+ return elements.push(ifrNode);
+ }, filterCb);
+ });
+ }
+ elements.push(node);
+ }
+ elements.forEach(function (node) {
+ eachCb(node);
+ });
+ if (this.iframes) {
+ this.handleOpenIframes(ifr, whatToShow, eachCb, filterCb);
+ }
+ doneCb();
+ }
+ }, {
+ key: 'forEachNode',
+ value: function forEachNode(whatToShow, each, filter) {
+ var _this6 = this;
+
+ var done = arguments.length > 3 && arguments[3] !== undefined ? arguments[3] : function () {};
+
+ var contexts = this.getContexts();
+ var open = contexts.length;
+ if (!open) {
+ done();
+ }
+ contexts.forEach(function (ctx) {
+ var ready = function ready() {
+ _this6.iterateThroughNodes(whatToShow, ctx, each, filter, function () {
+ if (--open <= 0) {
+ done();
+ }
+ });
+ };
+ if (_this6.iframes) {
+ _this6.waitForIframes(ctx, ready);
+ } else {
+ ready();
+ }
+ });
+ }
+ }], [{
+ key: 'matches',
+ value: function matches(element, selector) {
+ var selectors = typeof selector === 'string' ? [selector] : selector,
+ fn = element.matches || element.matchesSelector || element.msMatchesSelector || element.mozMatchesSelector || element.oMatchesSelector || element.webkitMatchesSelector;
+ if (fn) {
+ var match = false;
+ selectors.every(function (sel) {
+ if (fn.call(element, sel)) {
+ match = true;
+ return false;
+ }
+ return true;
+ });
+ return match;
+ } else {
+ return false;
+ }
+ }
+ }]);
+ return DOMIterator;
+}();
+
+var Mark$1 = function () {
+ function Mark(ctx) {
+ classCallCheck(this, Mark);
+
+ this.ctx = ctx;
+ this.ie = false;
+ var ua = window.navigator.userAgent;
+ if (ua.indexOf('MSIE') > -1 || ua.indexOf('Trident') > -1) {
+ this.ie = true;
+ }
+ }
+
+ createClass(Mark, [{
+ key: 'log',
+ value: function log(msg) {
+ var level = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : 'debug';
+
+ var log = this.opt.log;
+ if (!this.opt.debug) {
+ return;
+ }
+ if ((typeof log === 'undefined' ? 'undefined' : _typeof(log)) === 'object' && typeof log[level] === 'function') {
+ log[level]('mark.js: ' + msg);
+ }
+ }
+ }, {
+ key: 'escapeStr',
+ value: function escapeStr(str) {
+ return str.replace(/[\-\[\]\/\{\}\(\)\*\+\?\.\\\^\$\|]/g, '\\$&');
+ }
+ }, {
+ key: 'createRegExp',
+ value: function createRegExp(str) {
+ if (this.opt.wildcards !== 'disabled') {
+ str = this.setupWildcardsRegExp(str);
+ }
+ str = this.escapeStr(str);
+ if (Object.keys(this.opt.synonyms).length) {
+ str = this.createSynonymsRegExp(str);
+ }
+ if (this.opt.ignoreJoiners || this.opt.ignorePunctuation.length) {
+ str = this.setupIgnoreJoinersRegExp(str);
+ }
+ if (this.opt.diacritics) {
+ str = this.createDiacriticsRegExp(str);
+ }
+ str = this.createMergedBlanksRegExp(str);
+ if (this.opt.ignoreJoiners || this.opt.ignorePunctuation.length) {
+ str = this.createJoinersRegExp(str);
+ }
+ if (this.opt.wildcards !== 'disabled') {
+ str = this.createWildcardsRegExp(str);
+ }
+ str = this.createAccuracyRegExp(str);
+ return str;
+ }
+ }, {
+ key: 'createSynonymsRegExp',
+ value: function createSynonymsRegExp(str) {
+ var syn = this.opt.synonyms,
+ sens = this.opt.caseSensitive ? '' : 'i',
+ joinerPlaceholder = this.opt.ignoreJoiners || this.opt.ignorePunctuation.length ? '\0' : '';
+ for (var index in syn) {
+ if (syn.hasOwnProperty(index)) {
+ var value = syn[index],
+ k1 = this.opt.wildcards !== 'disabled' ? this.setupWildcardsRegExp(index) : this.escapeStr(index),
+ k2 = this.opt.wildcards !== 'disabled' ? this.setupWildcardsRegExp(value) : this.escapeStr(value);
+ if (k1 !== '' && k2 !== '') {
+ str = str.replace(new RegExp('(' + this.escapeStr(k1) + '|' + this.escapeStr(k2) + ')', 'gm' + sens), joinerPlaceholder + ('(' + this.processSynomyms(k1) + '|') + (this.processSynomyms(k2) + ')') + joinerPlaceholder);
+ }
+ }
+ }
+ return str;
+ }
+ }, {
+ key: 'processSynomyms',
+ value: function processSynomyms(str) {
+ if (this.opt.ignoreJoiners || this.opt.ignorePunctuation.length) {
+ str = this.setupIgnoreJoinersRegExp(str);
+ }
+ return str;
+ }
+ }, {
+ key: 'setupWildcardsRegExp',
+ value: function setupWildcardsRegExp(str) {
+ str = str.replace(/(?:\\)*\?/g, function (val) {
+ return val.charAt(0) === '\\' ? '?' : '\x01';
+ });
+ return str.replace(/(?:\\)*\*/g, function (val) {
+ return val.charAt(0) === '\\' ? '*' : '\x02';
+ });
+ }
+ }, {
+ key: 'createWildcardsRegExp',
+ value: function createWildcardsRegExp(str) {
+ var spaces = this.opt.wildcards === 'withSpaces';
+ return str.replace(/\u0001/g, spaces ? '[\\S\\s]?' : '\\S?').replace(/\u0002/g, spaces ? '[\\S\\s]*?' : '\\S*');
+ }
+ }, {
+ key: 'setupIgnoreJoinersRegExp',
+ value: function setupIgnoreJoinersRegExp(str) {
+ return str.replace(/[^(|)\\]/g, function (val, indx, original) {
+ var nextChar = original.charAt(indx + 1);
+ if (/[(|)\\]/.test(nextChar) || nextChar === '') {
+ return val;
+ } else {
+ return val + '\0';
+ }
+ });
+ }
+ }, {
+ key: 'createJoinersRegExp',
+ value: function createJoinersRegExp(str) {
+ var joiner = [];
+ var ignorePunctuation = this.opt.ignorePunctuation;
+ if (Array.isArray(ignorePunctuation) && ignorePunctuation.length) {
+ joiner.push(this.escapeStr(ignorePunctuation.join('')));
+ }
+ if (this.opt.ignoreJoiners) {
+ joiner.push('\\u00ad\\u200b\\u200c\\u200d');
+ }
+ return joiner.length ? str.split(/\u0000+/).join('[' + joiner.join('') + ']*') : str;
+ }
+ }, {
+ key: 'createDiacriticsRegExp',
+ value: function createDiacriticsRegExp(str) {
+ var sens = this.opt.caseSensitive ? '' : 'i',
+ dct = this.opt.caseSensitive ? ['aàáảãạăằắẳẵặâầấẩẫậäåāą', 'AÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ', 'cçćč', 'CÇĆČ', 'dđď', 'DĐĎ', 'eèéẻẽẹêềếểễệëěēę', 'EÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ', 'iìíỉĩịîïī', 'IÌÍỈĨỊÎÏĪ', 'lł', 'LŁ', 'nñňń', 'NÑŇŃ', 'oòóỏõọôồốổỗộơởỡớờợöøō', 'OÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ', 'rř', 'RŘ', 'sšśșş', 'SŠŚȘŞ', 'tťțţ', 'TŤȚŢ', 'uùúủũụưừứửữựûüůū', 'UÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ', 'yýỳỷỹỵÿ', 'YÝỲỶỸỴŸ', 'zžżź', 'ZŽŻŹ'] : ['aàáảãạăằắẳẵặâầấẩẫậäåāąAÀÁẢÃẠĂẰẮẲẴẶÂẦẤẨẪẬÄÅĀĄ', 'cçćčCÇĆČ', 'dđďDĐĎ', 'eèéẻẽẹêềếểễệëěēęEÈÉẺẼẸÊỀẾỂỄỆËĚĒĘ', 'iìíỉĩịîïīIÌÍỈĨỊÎÏĪ', 'lłLŁ', 'nñňńNÑŇŃ', 'oòóỏõọôồốổỗộơởỡớờợöøōOÒÓỎÕỌÔỒỐỔỖỘƠỞỠỚỜỢÖØŌ', 'rřRŘ', 'sšśșşSŠŚȘŞ', 'tťțţTŤȚŢ', 'uùúủũụưừứửữựûüůūUÙÚỦŨỤƯỪỨỬỮỰÛÜŮŪ', 'yýỳỷỹỵÿYÝỲỶỸỴŸ', 'zžżźZŽŻŹ'];
+ var handled = [];
+ str.split('').forEach(function (ch) {
+ dct.every(function (dct) {
+ if (dct.indexOf(ch) !== -1) {
+ if (handled.indexOf(dct) > -1) {
+ return false;
+ }
+ str = str.replace(new RegExp('[' + dct + ']', 'gm' + sens), '[' + dct + ']');
+ handled.push(dct);
+ }
+ return true;
+ });
+ });
+ return str;
+ }
+ }, {
+ key: 'createMergedBlanksRegExp',
+ value: function createMergedBlanksRegExp(str) {
+ return str.replace(/[\s]+/gmi, '[\\s]+');
+ }
+ }, {
+ key: 'createAccuracyRegExp',
+ value: function createAccuracyRegExp(str) {
+ var _this = this;
+
+ var chars = '!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~¡¿';
+ var acc = this.opt.accuracy,
+ val = typeof acc === 'string' ? acc : acc.value,
+ ls = typeof acc === 'string' ? [] : acc.limiters,
+ lsJoin = '';
+ ls.forEach(function (limiter) {
+ lsJoin += '|' + _this.escapeStr(limiter);
+ });
+ switch (val) {
+ case 'partially':
+ default:
+ return '()(' + str + ')';
+ case 'complementary':
+ lsJoin = '\\s' + (lsJoin ? lsJoin : this.escapeStr(chars));
+ return '()([^' + lsJoin + ']*' + str + '[^' + lsJoin + ']*)';
+ case 'exactly':
+ return '(^|\\s' + lsJoin + ')(' + str + ')(?=$|\\s' + lsJoin + ')';
+ }
+ }
+ }, {
+ key: 'getSeparatedKeywords',
+ value: function getSeparatedKeywords(sv) {
+ var _this2 = this;
+
+ var stack = [];
+ sv.forEach(function (kw) {
+ if (!_this2.opt.separateWordSearch) {
+ if (kw.trim() && stack.indexOf(kw) === -1) {
+ stack.push(kw);
+ }
+ } else {
+ kw.split(' ').forEach(function (kwSplitted) {
+ if (kwSplitted.trim() && stack.indexOf(kwSplitted) === -1) {
+ stack.push(kwSplitted);
+ }
+ });
+ }
+ });
+ return {
+ 'keywords': stack.sort(function (a, b) {
+ return b.length - a.length;
+ }),
+ 'length': stack.length
+ };
+ }
+ }, {
+ key: 'isNumeric',
+ value: function isNumeric(value) {
+ return Number(parseFloat(value)) == value;
+ }
+ }, {
+ key: 'checkRanges',
+ value: function checkRanges(array) {
+ var _this3 = this;
+
+ if (!Array.isArray(array) || Object.prototype.toString.call(array[0]) !== '[object Object]') {
+ this.log('markRanges() will only accept an array of objects');
+ this.opt.noMatch(array);
+ return [];
+ }
+ var stack = [];
+ var last = 0;
+ array.sort(function (a, b) {
+ return a.start - b.start;
+ }).forEach(function (item) {
+ var _callNoMatchOnInvalid = _this3.callNoMatchOnInvalidRanges(item, last),
+ start = _callNoMatchOnInvalid.start,
+ end = _callNoMatchOnInvalid.end,
+ valid = _callNoMatchOnInvalid.valid;
+
+ if (valid) {
+ item.start = start;
+ item.length = end - start;
+ stack.push(item);
+ last = end;
+ }
+ });
+ return stack;
+ }
+ }, {
+ key: 'callNoMatchOnInvalidRanges',
+ value: function callNoMatchOnInvalidRanges(range, last) {
+ var start = void 0,
+ end = void 0,
+ valid = false;
+ if (range && typeof range.start !== 'undefined') {
+ start = parseInt(range.start, 10);
+ end = start + parseInt(range.length, 10);
+ if (this.isNumeric(range.start) && this.isNumeric(range.length) && end - last > 0 && end - start > 0) {
+ valid = true;
+ } else {
+ this.log('Ignoring invalid or overlapping range: ' + ('' + JSON.stringify(range)));
+ this.opt.noMatch(range);
+ }
+ } else {
+ this.log('Ignoring invalid range: ' + JSON.stringify(range));
+ this.opt.noMatch(range);
+ }
+ return {
+ start: start,
+ end: end,
+ valid: valid
+ };
+ }
+ }, {
+ key: 'checkWhitespaceRanges',
+ value: function checkWhitespaceRanges(range, originalLength, string) {
+ var end = void 0,
+ valid = true,
+ max = string.length,
+ offset = originalLength - max,
+ start = parseInt(range.start, 10) - offset;
+ start = start > max ? max : start;
+ end = start + parseInt(range.length, 10);
+ if (end > max) {
+ end = max;
+ this.log('End range automatically set to the max value of ' + max);
+ }
+ if (start < 0 || end - start < 0 || start > max || end > max) {
+ valid = false;
+ this.log('Invalid range: ' + JSON.stringify(range));
+ this.opt.noMatch(range);
+ } else if (string.substring(start, end).replace(/\s+/g, '') === '') {
+ valid = false;
+ this.log('Skipping whitespace only range: ' + JSON.stringify(range));
+ this.opt.noMatch(range);
+ }
+ return {
+ start: start,
+ end: end,
+ valid: valid
+ };
+ }
+ }, {
+ key: 'getTextNodes',
+ value: function getTextNodes(cb) {
+ var _this4 = this;
+
+ var val = '',
+ nodes = [];
+ this.iterator.forEachNode(NodeFilter.SHOW_TEXT, function (node) {
+ nodes.push({
+ start: val.length,
+ end: (val += node.textContent).length,
+ node: node
+ });
+ }, function (node) {
+ if (_this4.matchesExclude(node.parentNode)) {
+ return NodeFilter.FILTER_REJECT;
+ } else {
+ return NodeFilter.FILTER_ACCEPT;
+ }
+ }, function () {
+ cb({
+ value: val,
+ nodes: nodes
+ });
+ });
+ }
+ }, {
+ key: 'matchesExclude',
+ value: function matchesExclude(el) {
+ return DOMIterator.matches(el, this.opt.exclude.concat(['script', 'style', 'title', 'head', 'html']));
+ }
+ }, {
+ key: 'wrapRangeInTextNode',
+ value: function wrapRangeInTextNode(node, start, end) {
+ var hEl = !this.opt.element ? 'mark' : this.opt.element,
+ startNode = node.splitText(start),
+ ret = startNode.splitText(end - start);
+ var repl = document.createElement(hEl);
+ repl.setAttribute('data-markjs', 'true');
+ if (this.opt.className) {
+ repl.setAttribute('class', this.opt.className);
+ }
+ repl.textContent = startNode.textContent;
+ startNode.parentNode.replaceChild(repl, startNode);
+ return ret;
+ }
+ }, {
+ key: 'wrapRangeInMappedTextNode',
+ value: function wrapRangeInMappedTextNode(dict, start, end, filterCb, eachCb) {
+ var _this5 = this;
+
+ dict.nodes.every(function (n, i) {
+ var sibl = dict.nodes[i + 1];
+ if (typeof sibl === 'undefined' || sibl.start > start) {
+ if (!filterCb(n.node)) {
+ return false;
+ }
+ var s = start - n.start,
+ e = (end > n.end ? n.end : end) - n.start,
+ startStr = dict.value.substr(0, n.start),
+ endStr = dict.value.substr(e + n.start);
+ n.node = _this5.wrapRangeInTextNode(n.node, s, e);
+ dict.value = startStr + endStr;
+ dict.nodes.forEach(function (k, j) {
+ if (j >= i) {
+ if (dict.nodes[j].start > 0 && j !== i) {
+ dict.nodes[j].start -= e;
+ }
+ dict.nodes[j].end -= e;
+ }
+ });
+ end -= e;
+ eachCb(n.node.previousSibling, n.start);
+ if (end > n.end) {
+ start = n.end;
+ } else {
+ return false;
+ }
+ }
+ return true;
+ });
+ }
+ }, {
+ key: 'wrapMatches',
+ value: function wrapMatches(regex, ignoreGroups, filterCb, eachCb, endCb) {
+ var _this6 = this;
+
+ var matchIdx = ignoreGroups === 0 ? 0 : ignoreGroups + 1;
+ this.getTextNodes(function (dict) {
+ dict.nodes.forEach(function (node) {
+ node = node.node;
+ var match = void 0;
+ while ((match = regex.exec(node.textContent)) !== null && match[matchIdx] !== '') {
+ if (!filterCb(match[matchIdx], node)) {
+ continue;
+ }
+ var pos = match.index;
+ if (matchIdx !== 0) {
+ for (var i = 1; i < matchIdx; i++) {
+ pos += match[i].length;
+ }
+ }
+ node = _this6.wrapRangeInTextNode(node, pos, pos + match[matchIdx].length);
+ eachCb(node.previousSibling);
+ regex.lastIndex = 0;
+ }
+ });
+ endCb();
+ });
+ }
+ }, {
+ key: 'wrapMatchesAcrossElements',
+ value: function wrapMatchesAcrossElements(regex, ignoreGroups, filterCb, eachCb, endCb) {
+ var _this7 = this;
+
+ var matchIdx = ignoreGroups === 0 ? 0 : ignoreGroups + 1;
+ this.getTextNodes(function (dict) {
+ var match = void 0;
+ while ((match = regex.exec(dict.value)) !== null && match[matchIdx] !== '') {
+ var start = match.index;
+ if (matchIdx !== 0) {
+ for (var i = 1; i < matchIdx; i++) {
+ start += match[i].length;
+ }
+ }
+ var end = start + match[matchIdx].length;
+ _this7.wrapRangeInMappedTextNode(dict, start, end, function (node) {
+ return filterCb(match[matchIdx], node);
+ }, function (node, lastIndex) {
+ regex.lastIndex = lastIndex;
+ eachCb(node);
+ });
+ }
+ endCb();
+ });
+ }
+ }, {
+ key: 'wrapRangeFromIndex',
+ value: function wrapRangeFromIndex(ranges, filterCb, eachCb, endCb) {
+ var _this8 = this;
+
+ this.getTextNodes(function (dict) {
+ var originalLength = dict.value.length;
+ ranges.forEach(function (range, counter) {
+ var _checkWhitespaceRange = _this8.checkWhitespaceRanges(range, originalLength, dict.value),
+ start = _checkWhitespaceRange.start,
+ end = _checkWhitespaceRange.end,
+ valid = _checkWhitespaceRange.valid;
+
+ if (valid) {
+ _this8.wrapRangeInMappedTextNode(dict, start, end, function (node) {
+ return filterCb(node, range, dict.value.substring(start, end), counter);
+ }, function (node) {
+ eachCb(node, range);
+ });
+ }
+ });
+ endCb();
+ });
+ }
+ }, {
+ key: 'unwrapMatches',
+ value: function unwrapMatches(node) {
+ var parent = node.parentNode;
+ var docFrag = document.createDocumentFragment();
+ while (node.firstChild) {
+ docFrag.appendChild(node.removeChild(node.firstChild));
+ }
+ parent.replaceChild(docFrag, node);
+ if (!this.ie) {
+ parent.normalize();
+ } else {
+ this.normalizeTextNode(parent);
+ }
+ }
+ }, {
+ key: 'normalizeTextNode',
+ value: function normalizeTextNode(node) {
+ if (!node) {
+ return;
+ }
+ if (node.nodeType === 3) {
+ while (node.nextSibling && node.nextSibling.nodeType === 3) {
+ node.nodeValue += node.nextSibling.nodeValue;
+ node.parentNode.removeChild(node.nextSibling);
+ }
+ } else {
+ this.normalizeTextNode(node.firstChild);
+ }
+ this.normalizeTextNode(node.nextSibling);
+ }
+ }, {
+ key: 'markRegExp',
+ value: function markRegExp(regexp, opt) {
+ var _this9 = this;
+
+ this.opt = opt;
+ this.log('Searching with expression "' + regexp + '"');
+ var totalMatches = 0,
+ fn = 'wrapMatches';
+ var eachCb = function eachCb(element) {
+ totalMatches++;
+ _this9.opt.each(element);
+ };
+ if (this.opt.acrossElements) {
+ fn = 'wrapMatchesAcrossElements';
+ }
+ this[fn](regexp, this.opt.ignoreGroups, function (match, node) {
+ return _this9.opt.filter(node, match, totalMatches);
+ }, eachCb, function () {
+ if (totalMatches === 0) {
+ _this9.opt.noMatch(regexp);
+ }
+ _this9.opt.done(totalMatches);
+ });
+ }
+ }, {
+ key: 'mark',
+ value: function mark(sv, opt) {
+ var _this10 = this;
+
+ this.opt = opt;
+ var totalMatches = 0,
+ fn = 'wrapMatches';
+
+ var _getSeparatedKeywords = this.getSeparatedKeywords(typeof sv === 'string' ? [sv] : sv),
+ kwArr = _getSeparatedKeywords.keywords,
+ kwArrLen = _getSeparatedKeywords.length,
+ sens = this.opt.caseSensitive ? '' : 'i',
+ handler = function handler(kw) {
+ var regex = new RegExp(_this10.createRegExp(kw), 'gm' + sens),
+ matches = 0;
+ _this10.log('Searching with expression "' + regex + '"');
+ _this10[fn](regex, 1, function (term, node) {
+ return _this10.opt.filter(node, kw, totalMatches, matches);
+ }, function (element) {
+ matches++;
+ totalMatches++;
+ _this10.opt.each(element);
+ }, function () {
+ if (matches === 0) {
+ _this10.opt.noMatch(kw);
+ }
+ if (kwArr[kwArrLen - 1] === kw) {
+ _this10.opt.done(totalMatches);
+ } else {
+ handler(kwArr[kwArr.indexOf(kw) + 1]);
+ }
+ });
+ };
+
+ if (this.opt.acrossElements) {
+ fn = 'wrapMatchesAcrossElements';
+ }
+ if (kwArrLen === 0) {
+ this.opt.done(totalMatches);
+ } else {
+ handler(kwArr[0]);
+ }
+ }
+ }, {
+ key: 'markRanges',
+ value: function markRanges(rawRanges, opt) {
+ var _this11 = this;
+
+ this.opt = opt;
+ var totalMatches = 0,
+ ranges = this.checkRanges(rawRanges);
+ if (ranges && ranges.length) {
+ this.log('Starting to mark with the following ranges: ' + JSON.stringify(ranges));
+ this.wrapRangeFromIndex(ranges, function (node, range, match, counter) {
+ return _this11.opt.filter(node, range, match, counter);
+ }, function (element, range) {
+ totalMatches++;
+ _this11.opt.each(element, range);
+ }, function () {
+ _this11.opt.done(totalMatches);
+ });
+ } else {
+ this.opt.done(totalMatches);
+ }
+ }
+ }, {
+ key: 'unmark',
+ value: function unmark(opt) {
+ var _this12 = this;
+
+ this.opt = opt;
+ var sel = this.opt.element ? this.opt.element : '*';
+ sel += '[data-markjs]';
+ if (this.opt.className) {
+ sel += '.' + this.opt.className;
+ }
+ this.log('Removal selector "' + sel + '"');
+ this.iterator.forEachNode(NodeFilter.SHOW_ELEMENT, function (node) {
+ _this12.unwrapMatches(node);
+ }, function (node) {
+ var matchesSel = DOMIterator.matches(node, sel),
+ matchesExclude = _this12.matchesExclude(node);
+ if (!matchesSel || matchesExclude) {
+ return NodeFilter.FILTER_REJECT;
+ } else {
+ return NodeFilter.FILTER_ACCEPT;
+ }
+ }, this.opt.done);
+ }
+ }, {
+ key: 'opt',
+ set: function set$$1(val) {
+ this._opt = _extends({}, {
+ 'element': '',
+ 'className': '',
+ 'exclude': [],
+ 'iframes': false,
+ 'iframesTimeout': 5000,
+ 'separateWordSearch': true,
+ 'diacritics': true,
+ 'synonyms': {},
+ 'accuracy': 'partially',
+ 'acrossElements': false,
+ 'caseSensitive': false,
+ 'ignoreJoiners': false,
+ 'ignoreGroups': 0,
+ 'ignorePunctuation': [],
+ 'wildcards': 'disabled',
+ 'each': function each() {},
+ 'noMatch': function noMatch() {},
+ 'filter': function filter() {
+ return true;
+ },
+ 'done': function done() {},
+ 'debug': false,
+ 'log': window.console
+ }, val);
+ },
+ get: function get$$1() {
+ return this._opt;
+ }
+ }, {
+ key: 'iterator',
+ get: function get$$1() {
+ return new DOMIterator(this.ctx, this.opt.iframes, this.opt.exclude, this.opt.iframesTimeout);
+ }
+ }]);
+ return Mark;
+}();
+
+function Mark(ctx) {
+ var _this = this;
+
+ var instance = new Mark$1(ctx);
+ this.mark = function (sv, opt) {
+ instance.mark(sv, opt);
+ return _this;
+ };
+ this.markRegExp = function (sv, opt) {
+ instance.markRegExp(sv, opt);
+ return _this;
+ };
+ this.markRanges = function (sv, opt) {
+ instance.markRanges(sv, opt);
+ return _this;
+ };
+ this.unmark = function (opt) {
+ instance.unmark(opt);
+ return _this;
+ };
+ return this;
+}
+
+return Mark;
+
+})));
diff --git a/assets/js/search.js b/assets/js/search.js
new file mode 100644
index 0000000..f172bd6
--- /dev/null
+++ b/assets/js/search.js
@@ -0,0 +1,148 @@
+let lunrIndex
+let lunrResult
+let pagesIndex
+
+const bigramTokeniser = (obj, metadata) => {
+ if (obj == null || obj == undefined) {
+ return []
+ }
+
+ let str = obj.toString().trim().toLowerCase()
+ let tokens = []
+
+ for (let i = 0; i <= str.length - 2; i++) {
+ let tokenMetadata = lunr.utils.clone(metadata) || {}
+ tokenMetadata['position'] = [i, i + 2]
+ tokenMetadata['index'] = tokens.length
+ tokens.push(new lunr.Token(str.slice(i, i + 2), tokenMetadata))
+ }
+
+ return tokens
+}
+
+const queryNgramSeparator = (query) => {
+ const str = query.toString().trim().toLowerCase()
+ const tokens = []
+
+ for (let i = 0; i <= str.length - 2; i++) {
+ tokens.push(str.slice(i, i + 2))
+ }
+
+ return tokens.join(' ')
+}
+
+const index = '../post/index.json'
+
+const initLunr = () => {
+ let request = new XMLHttpRequest()
+ request.open('GET', index, true)
+ request.onload = function () {
+ if (this.status >= 200 && this.status < 400) {
+ pagesIndex = JSON.parse(this.response)
+ lunrIndex = lunr(function () {
+ this.tokenizer = bigramTokeniser
+ this.pipeline.reset()
+ this.ref('ref')
+ this.field('title', { boost: 10 })
+ this.field('body')
+ this.metadataWhitelist = ['position']
+ pagesIndex.forEach((page) => {
+ this.add(page)
+ }, this)
+ })
+ } else {
+ console.error('Error getting Hugo index flie')
+ }
+ }
+ request.onerror = function () {
+ console.error('connection error')
+ }
+ request.send()
+}
+
+/**
+ * Searching pages using lunr
+ * @param {String} query Query string for searching
+ * @return {Object[]} Array of search results
+ */
+const search = (query) => {
+ lunrResult = lunrIndex.search(queryNgramSeparator(query))
+ return lunrResult.map((result) => {
+ return pagesIndex.filter((page) => {
+ return page.ref === result.ref
+ })[0]
+ })
+}
+
+const initUI = () => {
+ const searchBox = document.querySelector('#searchBox')
+ if (searchBox === null) {
+ return
+ }
+ searchBox.addEventListener('keyup', function (event) {
+ let searchResultsArea = document.querySelector('#searchResults')
+ let query = event.currentTarget.value
+
+ // Only trigger a search when 2 chars. at least have been provided
+ if (query.length < 2) {
+ searchResultsArea.style.display = 'none'
+ return
+ }
+
+ // Display search results
+ renderResults(search(query))
+ searchResultsArea.style.display = 'block'
+ })
+}
+
+/**
+ * Rendering search results
+ * @param {Object[]} results Array of search results
+ */
+const renderResults = (results) => {
+ const searchResults = document.querySelector('#searchResults')
+ const query = document.querySelector('#searchBox').value
+ const BODY_LENGTH = 100
+ const MAX_PAGES = 10
+
+ // Clear search result
+ while (searchResults.firstChild)
+ searchResults.removeChild(searchResults.firstChild)
+
+ // Show message when results is empty
+ if (!results.length) {
+ let resultPage = document.createElement('div')
+ resultPage.className = 'searchResultPage'
+ resultPage.innerHTML = 'No results found for query "' + query + '"'
+ searchResults.append(resultPage)
+ return
+ }
+
+ let instance = new Mark(document.querySelector('#searchResults'))
+ // Only show the ten first results
+ results.slice(0, MAX_PAGES).forEach((result, idx) => {
+ let resultPage = document.createElement('div')
+ resultPage.className = 'searchResultPage'
+ let metadata = lunrResult[idx].matchData.metadata
+ let matchPosition = metadata[Object.keys(metadata)[0]].body.position[0][0]
+ let bodyStartPosition =
+ matchPosition - BODY_LENGTH / 2 > 0 ? matchPosition - BODY_LENGTH / 2 : 0
+
+ let resultTitle = document.createElement('a')
+ resultTitle.className = 'searchResultTitle'
+ resultTitle.href = result.ref
+ resultTitle.innerHTML = result.title
+ resultPage.append(resultTitle)
+
+ let resultBody = document.createElement('div')
+ resultBody.className = 'searchResultBody'
+ resultBody.innerHTML = result.body.substr(bodyStartPosition, BODY_LENGTH)
+ resultPage.append(resultBody)
+ searchResults.append(resultPage)
+
+ instance.mark(query)
+ })
+}
+
+initLunr()
+initUI()
diff --git a/assets/js/theme.js b/assets/js/theme.js
new file mode 100644
index 0000000..3bd7466
--- /dev/null
+++ b/assets/js/theme.js
@@ -0,0 +1,29 @@
+window.onload = function () {
+ var toggle = document.getElementById('dark-mode-toggle')
+ var darkTheme = document.getElementById('dark-mode-theme')
+
+ if (window.matchMedia('(prefers-color-scheme: dark)').matches) {
+ setTheme(localStorage.getItem('dark-mode-storage') || 'dark')
+ } else {
+ setTheme(localStorage.getItem('dark-mode-storage') || 'light')
+ }
+
+ toggle.addEventListener('click', () => {
+ if (toggle.className === 'fas fa-moon') {
+ setTheme('dark')
+ } else if (toggle.className === 'fas fa-sun') {
+ setTheme('light')
+ }
+ })
+
+ function setTheme(mode) {
+ localStorage.setItem('dark-mode-storage', mode)
+ if (mode === 'dark') {
+ darkTheme.disabled = false
+ toggle.className = 'fas fa-sun'
+ } else if (mode === 'light') {
+ darkTheme.disabled = true
+ toggle.className = 'fas fa-moon'
+ }
+ }
+}