[source,bash]
----
-$ git clone git://git.evergreen-ils.org/Evergreen.git
+$ git clone git://git.evergreen-ils.org/working/Evergreen.git
$ cd Evergreen
$ git checkout collab/blake/LP1848524_antora_ize_docs
----
ui:
bundle:
url: ./ui/build/ui-bundle.zip
- supplemental_files: ./ui/supplemental_ui
+ supplemental_files: ./ui/ui-lunr
output:
dir: /var/www/html/prod
.footer a {
color: var(--footer-link-font-color);
}
+
+.article-footer {
+ width: 100%;
+}
+
+.article-footer .article-footer-next {
+ float: right;
+ width: 35%;
+ text-align: right;
+}
+
+.article-footer .article-footer-previous {
+ float: left;
+ width: 35%;
+}
.navbar-end {
justify-content: flex-end;
- margin: auto;
+ margin-left: auto;
}
.navbar-dropdown {
--color-black: #000;
--color-evergreen: #446129;
/* fonts */
- --rem-base: 14; /* used to compute rem value from desired pixel value (e.g., calc(18 / var(--rem-base) * 1rem) = 18px) */
+ --rem-base: 16; /* used to compute rem value from desired pixel value (e.g., calc(18 / var(--rem-base) * 1rem) = 18px) */
--body-font-size: 1.0625em; /* 17px */
--body-font-size--desktop: 1.125em; /* 18px */
--body-font-size--print: 0.9375em; /* 15px */
<h1 class="page">{{{page.title}}}</h1>
{{/if}}
{{{page.contents}}}
+<div class="article-footer">
+ <div class="article-footer-previous">
+ <a href="{{site.path}}{{page.previous.url}}">Previous</a>
+ </div>
+ <div class="article-footer-next">
+ <a href="{{site.path}}{{page.next.url}}">Next</a>
+ </div>
+</div>
{{/if}}
</article>
-<header class="header">
+<header class="header" role="banner">
<nav class="navbar">
<div class="navbar-brand">
<a class="navbar-item" href="{{or site.url (or siteRootUrl siteRootPath)}}">{{site.title}}</a>
</div>
</div>
</div>
+ {{#if env.DOCSEARCH_ENABLED}}
+ <div class="navbar-item">
+ <input id="search-input" type="text" placeholder="Search docs">
+ </div>
+ {{/if}}
</nav>
</header>
{{> breadcrumbs}}
{{> page-versions}}
{{#if (and page.editUrl (not page.origin.private))}}
- <div class="edit-this-page"><a href="{{page.editUrl}}">Edit this Page</a></div>
+ <!--
+ Removing the edit link until we have these docs on master/rel branches
+ <div class="edit-this-page"><a href="{{page.editUrl}}">Edit this Page</a></div>
+ -->
{{/if}}
</div>
+++ /dev/null
-.navbar-brand .navbar-item + .navbar-item {
- flex-grow: 1;
- justify-content: flex-end;
-}
-
-@media screen and (min-width: 1024px) {
- .navbar-brand {
- flex-grow: 1;
- }
-
- .navbar-menu {
- flex-grow: 0;
- }
-}
-
-#search-input {
- color: #333;
- font-family: inherit;
- font-size: 0.95rem;
- width: 150px;
- border: 1px solid #dbdbdb;
- border-radius: 0.1em;
- line-height: 1.5;
- padding: 0 0.25em;
-}
-
-@media screen and (min-width: 769px) {
- #search-input {
- width: 200px;
- }
-}
-
-.search-result-dropdown-menu {
- position: absolute;
- z-index: 100;
- display: block;
- right: 0;
- left: inherit;
- top: 100%;
- border-radius: 4px;
- margin: 6px 0 0;
- padding: 0;
- text-align: left;
- height: auto;
- background: transparent;
- border: none;
- max-width: 600px;
- min-width: 500px;
- box-shadow: 0 1px 0 0 rgba(0, 0, 0, 0.2), 0 2px 3px 0 rgba(0, 0, 0, 0.1);
-}
-
-@media screen and (max-width: 768px) {
- .navbar-brand .navbar-item + .navbar-item {
- padding-left: 0;
- padding-right: 0;
- }
-
- .search-result-dropdown-menu {
- min-width: calc(100vw - 3.75rem);
- }
-}
-
-.search-result-dataset {
- position: relative;
- border: 1px solid #d9d9d9;
- background: #fff;
- border-radius: 4px;
- overflow: auto;
- padding: 0 8px 8px;
- max-height: calc(100vh - 5.25rem);
- color: #333;
-}
-
-.search-result-highlight {
- color: #174d8c;
- background: rgba(143, 187, 237, 0.1);
- padding: .1em .05em;
-}
-
-.search-result-item {
- display: flex;
- font-size: 1rem;
- margin-bottom: 0.5rem;
- margin-top: 0.5rem;
-}
-
-.search-result-document-title {
- width: 33%;
- border-right: 1px solid #ddd;
- color: #a4a7ae;
- font-size: 0.8rem;
- padding: 0.25rem 0.5rem 0.25rem 0;
- text-align: right;
- position: relative;
- word-wrap: break-word;
-}
-
-.search-result-document-hit {
- flex: 1;
- font-size: 0.75em;
- color: #02060c;
- font-weight: 700;
-}
-
-.search-result-document-hit > a {
- color: inherit;
- display: block;
- padding: 0.5rem 0 0.5rem 1rem;
- margin-bottom: 0.25rem;
-}
-
-.search-result-document-hit > a:hover {
- background-color: rgba(69, 142, 225, 0.05);
-}
-
+++ /dev/null
-/**
- * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.3
- * Copyright (C) 2018 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 = "2.3.3"
-/*!
- * lunr.utils
- * Copyright (C) 2018 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) 2018 Oliver Nightingale
- */
-
-/**
- * A lunr set.
- *
- * @constructor
- */
-lunr.Set = function (elements) {
- this.elements = Object.create(null)
-
- if (elements) {
- this.length = elements.length
-
- for (var i = 0; i < this.length; i++) {
- this.elements[elements[i]] = true
- }
- } else {
- this.length = 0
- }
-}
-
-/**
- * A complete set that contains all elements.
- *
- * @static
- * @readonly
- * @type {lunr.Set}
- */
-lunr.Set.complete = {
- intersect: function (other) {
- return other
- },
-
- union: function (other) {
- return other
- },
-
- contains: function () {
- return true
- }
-}
-
-/**
- * An empty set that contains no elements.
- *
- * @static
- * @readonly
- * @type {lunr.Set}
- */
-lunr.Set.empty = {
- intersect: function () {
- return this
- },
-
- union: function (other) {
- return other
- },
-
- contains: function () {
- return false
- }
-}
-
-/**
- * Returns true if this set contains the specified object.
- *
- * @param {object} object - Object whose presence in this set is to be tested.
- * @returns {boolean} - True if this set contains the specified object.
- */
-lunr.Set.prototype.contains = function (object) {
- return !!this.elements[object]
-}
-
-/**
- * Returns a new set containing only the elements that are present in both
- * this set and the specified set.
- *
- * @param {lunr.Set} other - set to intersect with this set.
- * @returns {lunr.Set} a new set that is the intersection of this and the specified set.
- */
-
-lunr.Set.prototype.intersect = function (other) {
- var a, b, elements, intersection = []
-
- if (other === lunr.Set.complete) {
- return this
- }
-
- if (other === lunr.Set.empty) {
- return other
- }
-
- if (this.length < other.length) {
- a = this
- b = other
- } else {
- a = other
- b = this
- }
-
- elements = Object.keys(a.elements)
-
- for (var i = 0; i < elements.length; i++) {
- var element = elements[i]
- if (element in b.elements) {
- intersection.push(element)
- }
- }
-
- return new lunr.Set (intersection)
-}
-
-/**
- * Returns a new set combining the elements of this and the specified set.
- *
- * @param {lunr.Set} other - set to union with this set.
- * @return {lunr.Set} a new set that is the union of this and the specified set.
- */
-
-lunr.Set.prototype.union = function (other) {
- if (other === lunr.Set.complete) {
- return lunr.Set.complete
- }
-
- if (other === lunr.Set.empty) {
- return this
- }
-
- return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))
-}
-/**
- * A function to calculate the inverse document frequency for
- * a posting. This is shared between the builder and the index
- *
- * @private
- * @param {object} posting - The posting for a given term
- * @param {number} documentCount - The total number of documents.
- */
-lunr.idf = function (posting, documentCount) {
- var documentsWithTerm = 0
-
- for (var fieldName in posting) {
- if (fieldName == '_index') continue // Ignore the term index, its not a field
- documentsWithTerm += Object.keys(posting[fieldName]).length
- }
-
- var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)
-
- return Math.log(1 + Math.abs(x))
-}
-
-/**
- * A token wraps a string representation of a token
- * as it is passed through the text processing pipeline.
- *
- * @constructor
- * @param {string} [str=''] - The string token being wrapped.
- * @param {object} [metadata={}] - Metadata associated with this token.
- */
-lunr.Token = function (str, metadata) {
- this.str = str || ""
- this.metadata = metadata || {}
-}
-
-/**
- * Returns the token string that is being wrapped by this object.
- *
- * @returns {string}
- */
-lunr.Token.prototype.toString = function () {
- return this.str
-}
-
-/**
- * A token update function is used when updating or optionally
- * when cloning a token.
- *
- * @callback lunr.Token~updateFunction
- * @param {string} str - The string representation of the token.
- * @param {Object} metadata - All metadata associated with this token.
- */
-
-/**
- * Applies the given function to the wrapped string token.
- *
- * @example
- * token.update(function (str, metadata) {
- * return str.toUpperCase()
- * })
- *
- * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.
- * @returns {lunr.Token}
- */
-lunr.Token.prototype.update = function (fn) {
- this.str = fn(this.str, this.metadata)
- return this
-}
-
-/**
- * Creates a clone of this token. Optionally a function can be
- * applied to the cloned token.
- *
- * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.
- * @returns {lunr.Token}
- */
-lunr.Token.prototype.clone = function (fn) {
- fn = fn || function (s) { return s }
- return new lunr.Token (fn(this.str, this.metadata), this.metadata)
-}
-/*!
- * lunr.tokenizer
- * Copyright (C) 2018 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().trim().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) 2018 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. 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 === void 0 || result === '') continue
-
- if (result instanceof Array) {
- 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) 2018 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) 2018 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) 2018 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) 2018 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) 2018 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
- } else {
- stack.push({
- node: noEditNode,
- editsRemaining: frame.editsRemaining,
- str: frame.str.slice(1)
- })
- }
- }
-
- // 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.editsRemaining > 0 && frame.str.length > 1) {
- var char = frame.str.charAt(1),
- deletionNode
-
- if (char in frame.node.edges) {
- deletionNode = frame.node.edges[char]
- } else {
- deletionNode = new lunr.TokenSet
- frame.node.edges[char] = deletionNode
- }
-
- if (frame.str.length <= 2) {
- deletionNode.final = true
- } else {
- stack.push({
- node: deletionNode,
- editsRemaining: frame.editsRemaining - 1,
- str: frame.str.slice(2)
- })
- }
- }
-
- // deletion
- // just removing the last character from the str
- if (frame.editsRemaining > 0 && 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.editsRemaining > 0 && 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
- } else {
- stack.push({
- node: substitutionNode,
- editsRemaining: frame.editsRemaining - 1,
- str: frame.str.slice(1)
- })
- }
- }
-
- // insertion
- // can only do insertion if there are edits remaining
- if (frame.editsRemaining > 0) {
- 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
- } else {
- stack.push({
- node: insertionNode,
- editsRemaining: frame.editsRemaining - 1,
- str: frame.str
- })
- }
- }
-
- // transposition
- // can only do a transposition if there are edits remaining
- // and there are enough characters to transpose
- if (frame.editsRemaining > 0 && 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
- } else {
- 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.
- *
- * @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) 2018 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.complete
-
- if (clause.usePipeline) {
- terms = this.pipeline.runString(clause.term, {
- fields: clause.fields
- })
- } else {
- terms = [clause.term]
- }
-
- for (var m = 0; m < terms.length; m++) {
- var term = terms[m]
-
- /*
- * Each term returned from the pipeline needs to use the same query
- * clause object, e.g. the same boost and or edit distance. The
- * simplest way to do this is to re-use the clause object but mutate
- * its term property.
- */
- clause.term = term
-
- /*
- * From the term in the clause we create a token set which will then
- * be used to intersect the indexes token set to get a list of terms
- * to lookup in the inverted index
- */
- var termTokenSet = lunr.TokenSet.fromClause(clause),
- expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()
-
- /*
- * If a term marked as required does not exist in the tokenSet it is
- * impossible for the search to return any matches. We set all the field
- * scoped required matches set to empty and stop examining any further
- * clauses.
- */
- if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {
- for (var k = 0; k < clause.fields.length; k++) {
- var field = clause.fields[k]
- requiredMatches[field] = lunr.Set.empty
- }
-
- break
- }
-
- for (var j = 0; j < expandedTerms.length; j++) {
- /*
- * For each term get the posting and termIndex, this is required for
- * building the query vector.
- */
- var expandedTerm = expandedTerms[j],
- posting = this.invertedIndex[expandedTerm],
- termIndex = posting._index
-
- for (var k = 0; k < clause.fields.length; k++) {
- /*
- * For each field that this query term is scoped by (by default
- * all fields are in scope) we need to get all the document refs
- * that have this term in that field.
- *
- * The posting is the entry in the invertedIndex for the matching
- * term from above.
- */
- var field = clause.fields[k],
- fieldPosting = posting[field],
- matchingDocumentRefs = Object.keys(fieldPosting),
- termField = expandedTerm + "/" + field,
- matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)
-
- /*
- * if the presence of this term is required ensure that the matching
- * documents are added to the set of required matches for this clause.
- *
- */
- if (clause.presence == lunr.Query.presence.REQUIRED) {
- clauseMatches = clauseMatches.union(matchingDocumentsSet)
-
- if (requiredMatches[field] === undefined) {
- requiredMatches[field] = lunr.Set.complete
- }
- }
-
- /*
- * if the presence of this term is prohibited ensure that the matching
- * documents are added to the set of prohibited matches for this field,
- * creating that set if it does not yet exist.
- */
- if (clause.presence == lunr.Query.presence.PROHIBITED) {
- if (prohibitedMatches[field] === undefined) {
- prohibitedMatches[field] = lunr.Set.empty
- }
-
- prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)
-
- /*
- * Prohibited matches should not be part of the query vector used for
- * similarity scoring and no metadata should be extracted so we continue
- * to the next field
- */
- continue
- }
-
- /*
- * The query field vector is populated using the termIndex found for
- * the term and a unit value with the appropriate boost applied.
- * Using upsert because there could already be an entry in the vector
- * for the term we are working with. In that case we just add the scores
- * together.
- */
- queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })
-
- /**
- * If we've already seen this term, field combo then we've already collected
- * the matching documents and metadata, no need to go through all that again
- */
- if (termFieldCache[termField]) {
- continue
- }
-
- for (var l = 0; l < matchingDocumentRefs.length; l++) {
- /*
- * All metadata for this term/field/document triple
- * are then extracted and collected into an instance
- * of lunr.MatchData ready to be returned in the query
- * results
- */
- var matchingDocumentRef = matchingDocumentRefs[l],
- matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),
- metadata = fieldPosting[matchingDocumentRef],
- fieldMatch
-
- if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {
- matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)
- } else {
- fieldMatch.add(expandedTerm, field, metadata)
- }
-
- }
-
- termFieldCache[termField] = true
- }
- }
- }
-
- /**
- * If the presence was required we need to update the requiredMatches field sets.
- * We do this after all fields for the term have collected their matches because
- * the clause terms presence is required in _any_ of the fields not _all_ of the
- * fields.
- */
- if (clause.presence === lunr.Query.presence.REQUIRED) {
- for (var k = 0; k < clause.fields.length; k++) {
- var field = clause.fields[k]
- requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)
- }
- }
- }
-
- /**
- * Need to combine the field scoped required and prohibited
- * matching documents into a global set of required and prohibited
- * matches
- */
- var allRequiredMatches = lunr.Set.complete,
- allProhibitedMatches = lunr.Set.empty
-
- for (var i = 0; i < this.fields.length; i++) {
- var field = this.fields[i]
-
- if (requiredMatches[field]) {
- allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])
- }
-
- if (prohibitedMatches[field]) {
- allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])
- }
- }
-
- var matchingFieldRefs = Object.keys(matchingFields),
- results = [],
- matches = Object.create(null)
-
- /*
- * If the query is negated (contains only prohibited terms)
- * we need to get _all_ fieldRefs currently existing in the
- * index. This is only done when we know that the query is
- * entirely prohibited terms to avoid any cost of getting all
- * fieldRefs unnecessarily.
- *
- * Additionally, blank MatchData must be created to correctly
- * populate the results.
- */
- if (query.isNegated()) {
- matchingFieldRefs = Object.keys(this.fieldVectors)
-
- for (var i = 0; i < matchingFieldRefs.length; i++) {
- var matchingFieldRef = matchingFieldRefs[i]
- var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)
- matchingFields[matchingFieldRef] = new lunr.MatchData
- }
- }
-
- for (var i = 0; i < matchingFieldRefs.length; i++) {
- /*
- * Currently we have document fields that match the query, but we
- * need to return documents. The matchData and scores are combined
- * from multiple fields belonging to the same document.
- *
- * Scores are calculated by field, using the query vectors created
- * above, and combined into a final document score using addition.
- */
- var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),
- docRef = fieldRef.docRef
-
- if (!allRequiredMatches.contains(docRef)) {
- continue
- }
-
- if (allProhibitedMatches.contains(docRef)) {
- continue
- }
-
- var fieldVector = this.fieldVectors[fieldRef],
- score = queryVectors[fieldRef.fieldName].similarity(fieldVector),
- docMatch
-
- if ((docMatch = matches[docRef]) !== undefined) {
- docMatch.score += score
- docMatch.matchData.combine(matchingFields[fieldRef])
- } else {
- var match = {
- ref: docRef,
- score: score,
- matchData: matchingFields[fieldRef]
- }
- matches[docRef] = match
- results.push(match)
- }
- }
-
- /*
- * Sort the results objects by score, highest first.
- */
- return results.sort(function (a, b) {
- return b.score - a.score
- })
-}
-
-/**
- * Prepares the index for JSON serialization.
- *
- * The schema for this JSON blob will be described in a
- * separate JSON schema file.
- *
- * @returns {Object}
- */
-lunr.Index.prototype.toJSON = function () {
- var invertedIndex = Object.keys(this.invertedIndex)
- .sort()
- .map(function (term) {
- return [term, this.invertedIndex[term]]
- }, this)
-
- var fieldVectors = Object.keys(this.fieldVectors)
- .map(function (ref) {
- return [ref, this.fieldVectors[ref].toJSON()]
- }, this)
-
- return {
- version: lunr.version,
- fields: this.fields,
- fieldVectors: fieldVectors,
- invertedIndex: invertedIndex,
- pipeline: this.pipeline.toJSON()
- }
-}
-
-/**
- * Loads a previously serialized lunr.Index
- *
- * @param {Object} serializedIndex - A previously serialized lunr.Index
- * @returns {lunr.Index}
- */
-lunr.Index.load = function (serializedIndex) {
- var attrs = {},
- fieldVectors = {},
- serializedVectors = serializedIndex.fieldVectors,
- invertedIndex = {},
- 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) 2018 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
- }))
-})();
+++ /dev/null
-/* eslint-env browser */
-window.antoraLunr = (function (lunr) {
- var searchInput = document.getElementById('search-input')
- var searchResult = document.createElement('div')
- searchResult.classList.add('search-result-dropdown-menu')
- searchInput.parentNode.appendChild(searchResult)
-
- function highlightText (doc, position) {
- var hits = []
- var start = position[0]
- var length = position[1]
-
- var text = doc.text
- var highlightSpan = document.createElement('span')
- highlightSpan.classList.add('search-result-highlight')
- highlightSpan.innerText = text.substr(start, length)
-
- var end = start + length
- var textEnd = text.length - 1
- var contextOffset = 15
- var contextAfter = end + contextOffset > textEnd ? textEnd : end + contextOffset
- var contextBefore = start - contextOffset < 0 ? 0 : start - contextOffset
- if (start === 0 && end === textEnd) {
- hits.push(highlightSpan)
- } else if (start === 0) {
- hits.push(highlightSpan)
- hits.push(document.createTextNode(text.substr(end, contextAfter)))
- } else if (end === textEnd) {
- hits.push(document.createTextNode(text.substr(0, start)))
- hits.push(highlightSpan)
- } else {
- hits.push(document.createTextNode('...' + text.substr(contextBefore, start - contextBefore)))
- hits.push(highlightSpan)
- hits.push(document.createTextNode(text.substr(end, contextAfter - end) + '...'))
- }
- return hits
- }
-
- function highlightTitle (hash, doc, position) {
- var hits = []
- var start = position[0]
- var length = position[1]
-
- var highlightSpan = document.createElement('span')
- highlightSpan.classList.add('search-result-highlight')
- var title
- if (hash) {
- title = doc.titles.filter(function (item) {
- return item.id === hash
- })[0].text
- } else {
- title = doc.title
- }
- highlightSpan.innerText = title.substr(start, length)
-
- var end = start + length
- var titleEnd = title.length - 1
- if (start === 0 && end === titleEnd) {
- hits.push(highlightSpan)
- } else if (start === 0) {
- hits.push(highlightSpan)
- hits.push(document.createTextNode(title.substr(length, titleEnd)))
- } else if (end === titleEnd) {
- hits.push(document.createTextNode(title.substr(0, start)))
- hits.push(highlightSpan)
- } else {
- hits.push(document.createTextNode(title.substr(0, start)))
- hits.push(highlightSpan)
- hits.push(document.createTextNode(title.substr(end, titleEnd)))
- }
- return hits
- }
-
- function highlightHit (metadata, hash, doc) {
- var hits = []
- for (var token in metadata) {
- var fields = metadata[token]
- for (var field in fields) {
- var positions = fields[field]
- if (positions.position) {
- var position = positions.position[0] // only higlight the first match
- if (field === 'title') {
- hits = highlightTitle(hash, doc, position)
- } else if (field === 'text') {
- hits = highlightText(doc, position)
- }
- }
- }
- }
- return hits
- }
-
- function createSearchResult(result, store, searchResultDataset) {
- result.forEach(function (item) {
- var url = item.ref
- var hash
- if (url.includes('#')) {
- hash = url.substring(url.indexOf('#') + 1)
- url = url.replace('#' + hash, '')
- }
- var doc = store[url]
- var metadata = item.matchData.metadata
- var hits = highlightHit(metadata, hash, doc)
- searchResultDataset.appendChild(createSearchResultItem(doc, item, hits))
- })
- }
-
- function createSearchResultItem (doc, item, hits) {
- var documentTitle = document.createElement('div')
- documentTitle.classList.add('search-result-document-title')
- documentTitle.innerText = doc.title
- var documentHit = document.createElement('div')
- documentHit.classList.add('search-result-document-hit')
- var documentHitLink = document.createElement('a')
- documentHitLink.href = item.ref
- documentHit.appendChild(documentHitLink)
- hits.forEach(function (hit) {
- documentHitLink.appendChild(hit)
- })
- var searchResultItem = document.createElement('div')
- searchResultItem.classList.add('search-result-item')
- searchResultItem.appendChild(documentTitle)
- searchResultItem.appendChild(documentHit)
- return searchResultItem
- }
-
- function createNoResult (text) {
- var searchResultItem = document.createElement('div')
- searchResultItem.classList.add('search-result-item')
- var documentHit = document.createElement('div')
- documentHit.classList.add('search-result-document-hit')
- var message = document.createElement('strong')
- message.innerText = 'No results found for query "' + text + '"'
- documentHit.appendChild(message)
- searchResultItem.appendChild(documentHit)
- return searchResultItem
- }
-
- function search (index, text) {
- // execute an exact match search
- var result = index.search(text)
- if (result.length > 0) {
- return result
- }
- // no result, use a begins with search
- result = index.search(text + '*')
- if (result.length > 0) {
- return result
- }
- // no result, use a contains search
- result = index.search('*' + text + '*')
- return result
- }
-
- function searchIndex (index, store, text) {
- // reset search result
- while (searchResult.firstChild) {
- searchResult.removeChild(searchResult.firstChild)
- }
- if (text.trim() === '') {
- return
- }
- var result = search(index, text)
- var searchResultDataset = document.createElement('div')
- searchResultDataset.classList.add('search-result-dataset')
- searchResult.appendChild(searchResultDataset)
- if (result.length > 0) {
- createSearchResult(result, store, searchResultDataset)
- } else {
- searchResultDataset.appendChild(createNoResult(text))
- }
- }
-
- function debounce (func, wait, immediate) {
- var timeout
- return function () {
- var context = this
- var args = arguments
- var later = function () {
- timeout = null
- if (!immediate) func.apply(context, args)
- }
- var callNow = immediate && !timeout
- clearTimeout(timeout)
- timeout = setTimeout(later, wait)
- if (callNow) func.apply(context, args)
- }
- }
-
- function init (data) {
- var index = Object.assign({index: lunr.Index.load(data.index), store: data.store})
- var search = debounce(function () {
- searchIndex(index.index, index.store, searchInput.value)
- }, 100)
- // TODO listen to blur, focus and input events
- searchInput.addEventListener('keydown', search)
- }
-
- return {
- init: init,
- }
-})(window.lunr)
+++ /dev/null
-<script type="text/javascript">
- window.antora = window.antora || {}
- window.antora.basePath = '{{or siteRootPath (or site.url siteRootUrl)}}'
- window.antora.pagePath = '{{@root.page.url}}'
-</script>
-<script src="{{uiRootPath}}/js/site.js"></script>
-{{#if (eq env.DOCSEARCH_ENGINE 'lunr')}}
-<script src="{{uiRootPath}}/js/vendor/lunr.js"></script>
-<script src="{{uiRootPath}}/js/vendor/search.js"></script>
-<script async src="{{uiRootPath}}/../search-index.js"></script>
-{{/if}}
-<script src="{{uiRootPath}}/js/vendor/highlight.js"></script>
-<script>hljs.initHighlighting()</script>
+++ /dev/null
-<link rel="stylesheet" href="{{uiRootPath}}/css/search.css">
+++ /dev/null
-<header class="header" role="banner">
- <nav class="navbar">
- <div class="navbar-brand">
- <a class="navbar-item" href="{{or site.url (or siteRootUrl siteRootPath)}}">{{site.title}}</a>
- {{#if env.DOCSEARCH_ENABLED}}
- <div class="navbar-item">
- <input id="search-input" type="text" placeholder="Search docs">
- </div>
- {{/if}}
- <button class="navbar-burger" data-target="topbar-nav">
- <span></span>
- <span></span>
- <span></span>
- </button>
- </div>
- <div id="topbar-nav" class="navbar-menu">
- <div class="navbar-end">
- <div class="navbar-item has-dropdown is-hoverable">
- <a class="navbar-link" href="#">Documentation</a>
- <div class="navbar-dropdown">
- <a class="navbar-item" href="http://evergreen-ils.org/dokuwiki/doku.php?id=evergreen-docs:dig">Documentation Interest Group</a>
- <a class="navbar-item" href="http://evergreen-ils.org/dokuwiki/doku.php?id=faqs:evergreen_roadmap">Evergreen Roadmap</a>
- <a class="navbar-item" href="http://wiki.evergreen-ils.org/">Evergreen Wiki</a>
- <a class="navbar-item" href="https://evergreen-ils.org/eg-documentation/tabular-release-notes/">Tabular Release Notes</a>
- </div>
- </div>
- <div class="navbar-item has-dropdown is-hoverable">
- <a class="navbar-link" href="#">Downloads</a>
- <div class="navbar-dropdown">
- <a class="navbar-item" href="https://evergreen-ils.org/trademark-policy/">Evergreen Downloads</a>
- <a class="navbar-item" href="https://evergreen-ils.org/opensrf-downloads/">OpenSRF Downloads</a>
- </div>
- </div>
- <div class="navbar-item has-dropdown is-hoverable">
- <a class="navbar-link" href="#">About Us</a>
- <div class="navbar-dropdown">
- <a class="navbar-item" href="https://evergreen-ils.org/about-us/">Overview</a>
- <a class="navbar-item" href="https://evergreen-ils.org/about-us/annual-reports/">Annual Reports</a>
- <a class="navbar-item" href="https://evergreen-ils.org/frequently-anticipated-questions/">F.A.Q.</a>
- <a class="navbar-item" href="https://evergreen-ils.org/code-of-conduct/">Evergreen Event Code of Conduct</a>
- <a class="navbar-item" href="https://evergreen-ils.org/governance/">Project Governance</a>
- <a class="navbar-item" href="https://evergreen-ils.org/trademark-policy/">Trademark Policy</a>
- </div>
- </div>
- </div>
- </div>
- </nav>
-</header>
--- /dev/null
+.navbar-brand .navbar-item + .navbar-item {
+ flex-grow: 1;
+ justify-content: flex-end;
+}
+
+@media screen and (min-width: 1024px) {
+ .navbar-brand {
+ flex-grow: 1;
+ }
+
+ .navbar-menu {
+ flex-grow: 0;
+ }
+}
+
+#search-input {
+ color: #333;
+ font-family: inherit;
+ font-size: 0.95rem;
+ width: 150px;
+ border: 1px solid #dbdbdb;
+ border-radius: 0.1em;
+ line-height: 1.5;
+ padding: 0 0.25em;
+}
+
+@media screen and (min-width: 769px) {
+ #search-input {
+ width: 200px;
+ }
+}
+
+.search-result-dropdown-menu {
+ position: absolute;
+ z-index: 100;
+ display: block;
+ right: 0;
+ left: inherit;
+ top: 100%;
+ border-radius: 4px;
+ margin: 6px 0 0;
+ padding: 0;
+ text-align: left;
+ height: auto;
+ background: transparent;
+ border: none;
+ max-width: 600px;
+ min-width: 500px;
+ box-shadow: 0 1px 0 0 rgba(0, 0, 0, 0.2), 0 2px 3px 0 rgba(0, 0, 0, 0.1);
+}
+
+@media screen and (max-width: 768px) {
+ .navbar-brand .navbar-item + .navbar-item {
+ padding-left: 0;
+ padding-right: 0;
+ }
+
+ .search-result-dropdown-menu {
+ min-width: calc(100vw - 3.75rem);
+ }
+}
+
+.search-result-dataset {
+ position: relative;
+ border: 1px solid #d9d9d9;
+ background: #fff;
+ border-radius: 4px;
+ overflow: auto;
+ padding: 0 8px 8px;
+ max-height: calc(100vh - 5.25rem);
+ color: #333;
+}
+
+.search-result-highlight {
+ color: #174d8c;
+ background: rgba(143, 187, 237, 0.1);
+ padding: .1em .05em;
+}
+
+.search-result-item {
+ display: flex;
+ font-size: 1rem;
+ margin-bottom: 0.5rem;
+ margin-top: 0.5rem;
+}
+
+.search-result-document-title {
+ width: 33%;
+ border-right: 1px solid #ddd;
+ color: #a4a7ae;
+ font-size: 0.8rem;
+ padding: 0.25rem 0.5rem 0.25rem 0;
+ text-align: right;
+ position: relative;
+ word-wrap: break-word;
+}
+
+.search-result-document-hit {
+ flex: 1;
+ font-size: 0.75em;
+ color: #02060c;
+ font-weight: 700;
+}
+
+.search-result-document-hit > a {
+ color: inherit;
+ display: block;
+ padding: 0.5rem 0 0.5rem 1rem;
+ margin-bottom: 0.25rem;
+}
+
+.search-result-document-hit > a:hover {
+ background-color: rgba(69, 142, 225, 0.05);
+}
+
--- /dev/null
+/**
+ * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.3
+ * Copyright (C) 2018 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 = "2.3.3"
+/*!
+ * lunr.utils
+ * Copyright (C) 2018 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) 2018 Oliver Nightingale
+ */
+
+/**
+ * A lunr set.
+ *
+ * @constructor
+ */
+lunr.Set = function (elements) {
+ this.elements = Object.create(null)
+
+ if (elements) {
+ this.length = elements.length
+
+ for (var i = 0; i < this.length; i++) {
+ this.elements[elements[i]] = true
+ }
+ } else {
+ this.length = 0
+ }
+}
+
+/**
+ * A complete set that contains all elements.
+ *
+ * @static
+ * @readonly
+ * @type {lunr.Set}
+ */
+lunr.Set.complete = {
+ intersect: function (other) {
+ return other
+ },
+
+ union: function (other) {
+ return other
+ },
+
+ contains: function () {
+ return true
+ }
+}
+
+/**
+ * An empty set that contains no elements.
+ *
+ * @static
+ * @readonly
+ * @type {lunr.Set}
+ */
+lunr.Set.empty = {
+ intersect: function () {
+ return this
+ },
+
+ union: function (other) {
+ return other
+ },
+
+ contains: function () {
+ return false
+ }
+}
+
+/**
+ * Returns true if this set contains the specified object.
+ *
+ * @param {object} object - Object whose presence in this set is to be tested.
+ * @returns {boolean} - True if this set contains the specified object.
+ */
+lunr.Set.prototype.contains = function (object) {
+ return !!this.elements[object]
+}
+
+/**
+ * Returns a new set containing only the elements that are present in both
+ * this set and the specified set.
+ *
+ * @param {lunr.Set} other - set to intersect with this set.
+ * @returns {lunr.Set} a new set that is the intersection of this and the specified set.
+ */
+
+lunr.Set.prototype.intersect = function (other) {
+ var a, b, elements, intersection = []
+
+ if (other === lunr.Set.complete) {
+ return this
+ }
+
+ if (other === lunr.Set.empty) {
+ return other
+ }
+
+ if (this.length < other.length) {
+ a = this
+ b = other
+ } else {
+ a = other
+ b = this
+ }
+
+ elements = Object.keys(a.elements)
+
+ for (var i = 0; i < elements.length; i++) {
+ var element = elements[i]
+ if (element in b.elements) {
+ intersection.push(element)
+ }
+ }
+
+ return new lunr.Set (intersection)
+}
+
+/**
+ * Returns a new set combining the elements of this and the specified set.
+ *
+ * @param {lunr.Set} other - set to union with this set.
+ * @return {lunr.Set} a new set that is the union of this and the specified set.
+ */
+
+lunr.Set.prototype.union = function (other) {
+ if (other === lunr.Set.complete) {
+ return lunr.Set.complete
+ }
+
+ if (other === lunr.Set.empty) {
+ return this
+ }
+
+ return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))
+}
+/**
+ * A function to calculate the inverse document frequency for
+ * a posting. This is shared between the builder and the index
+ *
+ * @private
+ * @param {object} posting - The posting for a given term
+ * @param {number} documentCount - The total number of documents.
+ */
+lunr.idf = function (posting, documentCount) {
+ var documentsWithTerm = 0
+
+ for (var fieldName in posting) {
+ if (fieldName == '_index') continue // Ignore the term index, its not a field
+ documentsWithTerm += Object.keys(posting[fieldName]).length
+ }
+
+ var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)
+
+ return Math.log(1 + Math.abs(x))
+}
+
+/**
+ * A token wraps a string representation of a token
+ * as it is passed through the text processing pipeline.
+ *
+ * @constructor
+ * @param {string} [str=''] - The string token being wrapped.
+ * @param {object} [metadata={}] - Metadata associated with this token.
+ */
+lunr.Token = function (str, metadata) {
+ this.str = str || ""
+ this.metadata = metadata || {}
+}
+
+/**
+ * Returns the token string that is being wrapped by this object.
+ *
+ * @returns {string}
+ */
+lunr.Token.prototype.toString = function () {
+ return this.str
+}
+
+/**
+ * A token update function is used when updating or optionally
+ * when cloning a token.
+ *
+ * @callback lunr.Token~updateFunction
+ * @param {string} str - The string representation of the token.
+ * @param {Object} metadata - All metadata associated with this token.
+ */
+
+/**
+ * Applies the given function to the wrapped string token.
+ *
+ * @example
+ * token.update(function (str, metadata) {
+ * return str.toUpperCase()
+ * })
+ *
+ * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.
+ * @returns {lunr.Token}
+ */
+lunr.Token.prototype.update = function (fn) {
+ this.str = fn(this.str, this.metadata)
+ return this
+}
+
+/**
+ * Creates a clone of this token. Optionally a function can be
+ * applied to the cloned token.
+ *
+ * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.
+ * @returns {lunr.Token}
+ */
+lunr.Token.prototype.clone = function (fn) {
+ fn = fn || function (s) { return s }
+ return new lunr.Token (fn(this.str, this.metadata), this.metadata)
+}
+/*!
+ * lunr.tokenizer
+ * Copyright (C) 2018 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().trim().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) 2018 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. 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 === void 0 || result === '') continue
+
+ if (result instanceof Array) {
+ 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) 2018 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) 2018 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) 2018 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) 2018 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) 2018 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
+ } else {
+ stack.push({
+ node: noEditNode,
+ editsRemaining: frame.editsRemaining,
+ str: frame.str.slice(1)
+ })
+ }
+ }
+
+ // 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.editsRemaining > 0 && frame.str.length > 1) {
+ var char = frame.str.charAt(1),
+ deletionNode
+
+ if (char in frame.node.edges) {
+ deletionNode = frame.node.edges[char]
+ } else {
+ deletionNode = new lunr.TokenSet
+ frame.node.edges[char] = deletionNode
+ }
+
+ if (frame.str.length <= 2) {
+ deletionNode.final = true
+ } else {
+ stack.push({
+ node: deletionNode,
+ editsRemaining: frame.editsRemaining - 1,
+ str: frame.str.slice(2)
+ })
+ }
+ }
+
+ // deletion
+ // just removing the last character from the str
+ if (frame.editsRemaining > 0 && 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.editsRemaining > 0 && 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
+ } else {
+ stack.push({
+ node: substitutionNode,
+ editsRemaining: frame.editsRemaining - 1,
+ str: frame.str.slice(1)
+ })
+ }
+ }
+
+ // insertion
+ // can only do insertion if there are edits remaining
+ if (frame.editsRemaining > 0) {
+ 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
+ } else {
+ stack.push({
+ node: insertionNode,
+ editsRemaining: frame.editsRemaining - 1,
+ str: frame.str
+ })
+ }
+ }
+
+ // transposition
+ // can only do a transposition if there are edits remaining
+ // and there are enough characters to transpose
+ if (frame.editsRemaining > 0 && 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
+ } else {
+ 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.
+ *
+ * @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) 2018 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.complete
+
+ if (clause.usePipeline) {
+ terms = this.pipeline.runString(clause.term, {
+ fields: clause.fields
+ })
+ } else {
+ terms = [clause.term]
+ }
+
+ for (var m = 0; m < terms.length; m++) {
+ var term = terms[m]
+
+ /*
+ * Each term returned from the pipeline needs to use the same query
+ * clause object, e.g. the same boost and or edit distance. The
+ * simplest way to do this is to re-use the clause object but mutate
+ * its term property.
+ */
+ clause.term = term
+
+ /*
+ * From the term in the clause we create a token set which will then
+ * be used to intersect the indexes token set to get a list of terms
+ * to lookup in the inverted index
+ */
+ var termTokenSet = lunr.TokenSet.fromClause(clause),
+ expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()
+
+ /*
+ * If a term marked as required does not exist in the tokenSet it is
+ * impossible for the search to return any matches. We set all the field
+ * scoped required matches set to empty and stop examining any further
+ * clauses.
+ */
+ if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {
+ for (var k = 0; k < clause.fields.length; k++) {
+ var field = clause.fields[k]
+ requiredMatches[field] = lunr.Set.empty
+ }
+
+ break
+ }
+
+ for (var j = 0; j < expandedTerms.length; j++) {
+ /*
+ * For each term get the posting and termIndex, this is required for
+ * building the query vector.
+ */
+ var expandedTerm = expandedTerms[j],
+ posting = this.invertedIndex[expandedTerm],
+ termIndex = posting._index
+
+ for (var k = 0; k < clause.fields.length; k++) {
+ /*
+ * For each field that this query term is scoped by (by default
+ * all fields are in scope) we need to get all the document refs
+ * that have this term in that field.
+ *
+ * The posting is the entry in the invertedIndex for the matching
+ * term from above.
+ */
+ var field = clause.fields[k],
+ fieldPosting = posting[field],
+ matchingDocumentRefs = Object.keys(fieldPosting),
+ termField = expandedTerm + "/" + field,
+ matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)
+
+ /*
+ * if the presence of this term is required ensure that the matching
+ * documents are added to the set of required matches for this clause.
+ *
+ */
+ if (clause.presence == lunr.Query.presence.REQUIRED) {
+ clauseMatches = clauseMatches.union(matchingDocumentsSet)
+
+ if (requiredMatches[field] === undefined) {
+ requiredMatches[field] = lunr.Set.complete
+ }
+ }
+
+ /*
+ * if the presence of this term is prohibited ensure that the matching
+ * documents are added to the set of prohibited matches for this field,
+ * creating that set if it does not yet exist.
+ */
+ if (clause.presence == lunr.Query.presence.PROHIBITED) {
+ if (prohibitedMatches[field] === undefined) {
+ prohibitedMatches[field] = lunr.Set.empty
+ }
+
+ prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)
+
+ /*
+ * Prohibited matches should not be part of the query vector used for
+ * similarity scoring and no metadata should be extracted so we continue
+ * to the next field
+ */
+ continue
+ }
+
+ /*
+ * The query field vector is populated using the termIndex found for
+ * the term and a unit value with the appropriate boost applied.
+ * Using upsert because there could already be an entry in the vector
+ * for the term we are working with. In that case we just add the scores
+ * together.
+ */
+ queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })
+
+ /**
+ * If we've already seen this term, field combo then we've already collected
+ * the matching documents and metadata, no need to go through all that again
+ */
+ if (termFieldCache[termField]) {
+ continue
+ }
+
+ for (var l = 0; l < matchingDocumentRefs.length; l++) {
+ /*
+ * All metadata for this term/field/document triple
+ * are then extracted and collected into an instance
+ * of lunr.MatchData ready to be returned in the query
+ * results
+ */
+ var matchingDocumentRef = matchingDocumentRefs[l],
+ matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),
+ metadata = fieldPosting[matchingDocumentRef],
+ fieldMatch
+
+ if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {
+ matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)
+ } else {
+ fieldMatch.add(expandedTerm, field, metadata)
+ }
+
+ }
+
+ termFieldCache[termField] = true
+ }
+ }
+ }
+
+ /**
+ * If the presence was required we need to update the requiredMatches field sets.
+ * We do this after all fields for the term have collected their matches because
+ * the clause terms presence is required in _any_ of the fields not _all_ of the
+ * fields.
+ */
+ if (clause.presence === lunr.Query.presence.REQUIRED) {
+ for (var k = 0; k < clause.fields.length; k++) {
+ var field = clause.fields[k]
+ requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)
+ }
+ }
+ }
+
+ /**
+ * Need to combine the field scoped required and prohibited
+ * matching documents into a global set of required and prohibited
+ * matches
+ */
+ var allRequiredMatches = lunr.Set.complete,
+ allProhibitedMatches = lunr.Set.empty
+
+ for (var i = 0; i < this.fields.length; i++) {
+ var field = this.fields[i]
+
+ if (requiredMatches[field]) {
+ allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])
+ }
+
+ if (prohibitedMatches[field]) {
+ allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])
+ }
+ }
+
+ var matchingFieldRefs = Object.keys(matchingFields),
+ results = [],
+ matches = Object.create(null)
+
+ /*
+ * If the query is negated (contains only prohibited terms)
+ * we need to get _all_ fieldRefs currently existing in the
+ * index. This is only done when we know that the query is
+ * entirely prohibited terms to avoid any cost of getting all
+ * fieldRefs unnecessarily.
+ *
+ * Additionally, blank MatchData must be created to correctly
+ * populate the results.
+ */
+ if (query.isNegated()) {
+ matchingFieldRefs = Object.keys(this.fieldVectors)
+
+ for (var i = 0; i < matchingFieldRefs.length; i++) {
+ var matchingFieldRef = matchingFieldRefs[i]
+ var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)
+ matchingFields[matchingFieldRef] = new lunr.MatchData
+ }
+ }
+
+ for (var i = 0; i < matchingFieldRefs.length; i++) {
+ /*
+ * Currently we have document fields that match the query, but we
+ * need to return documents. The matchData and scores are combined
+ * from multiple fields belonging to the same document.
+ *
+ * Scores are calculated by field, using the query vectors created
+ * above, and combined into a final document score using addition.
+ */
+ var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),
+ docRef = fieldRef.docRef
+
+ if (!allRequiredMatches.contains(docRef)) {
+ continue
+ }
+
+ if (allProhibitedMatches.contains(docRef)) {
+ continue
+ }
+
+ var fieldVector = this.fieldVectors[fieldRef],
+ score = queryVectors[fieldRef.fieldName].similarity(fieldVector),
+ docMatch
+
+ if ((docMatch = matches[docRef]) !== undefined) {
+ docMatch.score += score
+ docMatch.matchData.combine(matchingFields[fieldRef])
+ } else {
+ var match = {
+ ref: docRef,
+ score: score,
+ matchData: matchingFields[fieldRef]
+ }
+ matches[docRef] = match
+ results.push(match)
+ }
+ }
+
+ /*
+ * Sort the results objects by score, highest first.
+ */
+ return results.sort(function (a, b) {
+ return b.score - a.score
+ })
+}
+
+/**
+ * Prepares the index for JSON serialization.
+ *
+ * The schema for this JSON blob will be described in a
+ * separate JSON schema file.
+ *
+ * @returns {Object}
+ */
+lunr.Index.prototype.toJSON = function () {
+ var invertedIndex = Object.keys(this.invertedIndex)
+ .sort()
+ .map(function (term) {
+ return [term, this.invertedIndex[term]]
+ }, this)
+
+ var fieldVectors = Object.keys(this.fieldVectors)
+ .map(function (ref) {
+ return [ref, this.fieldVectors[ref].toJSON()]
+ }, this)
+
+ return {
+ version: lunr.version,
+ fields: this.fields,
+ fieldVectors: fieldVectors,
+ invertedIndex: invertedIndex,
+ pipeline: this.pipeline.toJSON()
+ }
+}
+
+/**
+ * Loads a previously serialized lunr.Index
+ *
+ * @param {Object} serializedIndex - A previously serialized lunr.Index
+ * @returns {lunr.Index}
+ */
+lunr.Index.load = function (serializedIndex) {
+ var attrs = {},
+ fieldVectors = {},
+ serializedVectors = serializedIndex.fieldVectors,
+ invertedIndex = {},
+ 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) 2018 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
+ }))
+})();
--- /dev/null
+/* eslint-env browser */
+window.antoraLunr = (function (lunr) {
+ var searchInput = document.getElementById('search-input')
+ var searchResult = document.createElement('div')
+ searchResult.classList.add('search-result-dropdown-menu')
+ searchInput.parentNode.appendChild(searchResult)
+
+ function highlightText (doc, position) {
+ var hits = []
+ var start = position[0]
+ var length = position[1]
+
+ var text = doc.text
+ var highlightSpan = document.createElement('span')
+ highlightSpan.classList.add('search-result-highlight')
+ highlightSpan.innerText = text.substr(start, length)
+
+ var end = start + length
+ var textEnd = text.length - 1
+ var contextOffset = 15
+ var contextAfter = end + contextOffset > textEnd ? textEnd : end + contextOffset
+ var contextBefore = start - contextOffset < 0 ? 0 : start - contextOffset
+ if (start === 0 && end === textEnd) {
+ hits.push(highlightSpan)
+ } else if (start === 0) {
+ hits.push(highlightSpan)
+ hits.push(document.createTextNode(text.substr(end, contextAfter)))
+ } else if (end === textEnd) {
+ hits.push(document.createTextNode(text.substr(0, start)))
+ hits.push(highlightSpan)
+ } else {
+ hits.push(document.createTextNode('...' + text.substr(contextBefore, start - contextBefore)))
+ hits.push(highlightSpan)
+ hits.push(document.createTextNode(text.substr(end, contextAfter - end) + '...'))
+ }
+ return hits
+ }
+
+ function highlightTitle (hash, doc, position) {
+ var hits = []
+ var start = position[0]
+ var length = position[1]
+
+ var highlightSpan = document.createElement('span')
+ highlightSpan.classList.add('search-result-highlight')
+ var title
+ if (hash) {
+ title = doc.titles.filter(function (item) {
+ return item.id === hash
+ })[0].text
+ } else {
+ title = doc.title
+ }
+ highlightSpan.innerText = title.substr(start, length)
+
+ var end = start + length
+ var titleEnd = title.length - 1
+ if (start === 0 && end === titleEnd) {
+ hits.push(highlightSpan)
+ } else if (start === 0) {
+ hits.push(highlightSpan)
+ hits.push(document.createTextNode(title.substr(length, titleEnd)))
+ } else if (end === titleEnd) {
+ hits.push(document.createTextNode(title.substr(0, start)))
+ hits.push(highlightSpan)
+ } else {
+ hits.push(document.createTextNode(title.substr(0, start)))
+ hits.push(highlightSpan)
+ hits.push(document.createTextNode(title.substr(end, titleEnd)))
+ }
+ return hits
+ }
+
+ function highlightHit (metadata, hash, doc) {
+ var hits = []
+ for (var token in metadata) {
+ var fields = metadata[token]
+ for (var field in fields) {
+ var positions = fields[field]
+ if (positions.position) {
+ var position = positions.position[0] // only higlight the first match
+ if (field === 'title') {
+ hits = highlightTitle(hash, doc, position)
+ } else if (field === 'text') {
+ hits = highlightText(doc, position)
+ }
+ }
+ }
+ }
+ return hits
+ }
+
+ function createSearchResult(result, store, searchResultDataset) {
+ result.forEach(function (item) {
+ var url = item.ref
+ var hash
+ if (url.includes('#')) {
+ hash = url.substring(url.indexOf('#') + 1)
+ url = url.replace('#' + hash, '')
+ }
+ var doc = store[url]
+ var metadata = item.matchData.metadata
+ var hits = highlightHit(metadata, hash, doc)
+ searchResultDataset.appendChild(createSearchResultItem(doc, item, hits))
+ })
+ }
+
+ function createSearchResultItem (doc, item, hits) {
+ var documentTitle = document.createElement('div')
+ documentTitle.classList.add('search-result-document-title')
+ documentTitle.innerText = doc.title
+ var documentHit = document.createElement('div')
+ documentHit.classList.add('search-result-document-hit')
+ var documentHitLink = document.createElement('a')
+ documentHitLink.href = item.ref
+ documentHit.appendChild(documentHitLink)
+ hits.forEach(function (hit) {
+ documentHitLink.appendChild(hit)
+ })
+ var searchResultItem = document.createElement('div')
+ searchResultItem.classList.add('search-result-item')
+ searchResultItem.appendChild(documentTitle)
+ searchResultItem.appendChild(documentHit)
+ return searchResultItem
+ }
+
+ function createNoResult (text) {
+ var searchResultItem = document.createElement('div')
+ searchResultItem.classList.add('search-result-item')
+ var documentHit = document.createElement('div')
+ documentHit.classList.add('search-result-document-hit')
+ var message = document.createElement('strong')
+ message.innerText = 'No results found for query "' + text + '"'
+ documentHit.appendChild(message)
+ searchResultItem.appendChild(documentHit)
+ return searchResultItem
+ }
+
+ function search (index, text) {
+ // execute an exact match search
+ var result = index.search(text)
+ if (result.length > 0) {
+ return result
+ }
+ // no result, use a begins with search
+ result = index.search(text + '*')
+ if (result.length > 0) {
+ return result
+ }
+ // no result, use a contains search
+ result = index.search('*' + text + '*')
+ return result
+ }
+
+ function searchIndex (index, store, text) {
+ // reset search result
+ while (searchResult.firstChild) {
+ searchResult.removeChild(searchResult.firstChild)
+ }
+ if (text.trim() === '') {
+ return
+ }
+ var result = search(index, text)
+ var searchResultDataset = document.createElement('div')
+ searchResultDataset.classList.add('search-result-dataset')
+ searchResult.appendChild(searchResultDataset)
+ if (result.length > 0) {
+ createSearchResult(result, store, searchResultDataset)
+ } else {
+ searchResultDataset.appendChild(createNoResult(text))
+ }
+ }
+
+ function debounce (func, wait, immediate) {
+ var timeout
+ return function () {
+ var context = this
+ var args = arguments
+ var later = function () {
+ timeout = null
+ if (!immediate) func.apply(context, args)
+ }
+ var callNow = immediate && !timeout
+ clearTimeout(timeout)
+ timeout = setTimeout(later, wait)
+ if (callNow) func.apply(context, args)
+ }
+ }
+
+ function init (data) {
+ var index = Object.assign({index: lunr.Index.load(data.index), store: data.store})
+ var search = debounce(function () {
+ searchIndex(index.index, index.store, searchInput.value)
+ }, 100)
+ // TODO listen to blur, focus and input events
+ searchInput.addEventListener('keydown', search)
+ }
+
+ return {
+ init: init,
+ }
+})(window.lunr)
--- /dev/null
+<script type="text/javascript">
+ window.antora = window.antora || {}
+ window.antora.basePath = '{{or siteRootPath (or site.url siteRootUrl)}}'
+ window.antora.pagePath = '{{@root.page.url}}'
+</script>
+<script src="{{uiRootPath}}/js/site.js"></script>
+{{#if (eq env.DOCSEARCH_ENGINE 'lunr')}}
+<script src="{{uiRootPath}}/js/vendor/lunr.js"></script>
+<script src="{{uiRootPath}}/js/vendor/search.js"></script>
+<script async src="{{uiRootPath}}/../search-index.js"></script>
+{{/if}}
+<script src="{{uiRootPath}}/js/vendor/highlight.js"></script>
+<script>hljs.initHighlighting()</script>
--- /dev/null
+<link rel="stylesheet" href="{{uiRootPath}}/css/search.css">
projects / working / Evergreen.git / commitdiff