@@ 0,0 1,2977 @@
+/**
+ * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.1.5
+ * Copyright (C) 2017 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 = "2.1.5"
+/*!
+ * lunr.utils
+ * Copyright (C) 2017 Oliver Nightingale
+ */
+
+/**
+ * A namespace containing utils for the rest of the lunr library
+ */
+lunr.utils = {}
+
+/**
+ * Print a warning message to the console.
+ *
+ * @param {String} message The message to be printed.
+ * @memberOf Utils
+ */
+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 Utils
+ */
+lunr.utils.asString = function (obj) {
+ if (obj === void 0 || obj === null) {
+ return ""
+ } else {
+ return obj.toString()
+ }
+}
+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
+}
+/**
+ * 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) 2017 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.
+ *
+ * @static
+ * @param {?(string|object|object[])} obj - The object to convert into tokens
+ * @returns {lunr.Token[]}
+ */
+lunr.tokenizer = function (obj) {
+ if (obj == null || obj == undefined) {
+ return []
+ }
+
+ if (Array.isArray(obj)) {
+ return obj.map(function (t) {
+ return new lunr.Token(lunr.utils.asString(t).toLowerCase())
+ })
+ }
+
+ 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) {
+ tokens.push(
+ new lunr.Token (str.slice(sliceStart, sliceEnd), {
+ position: [sliceStart, sliceLength],
+ index: tokens.length
+ })
+ )
+ }
+
+ 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) 2017 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]
+
+ tokens = tokens.reduce(function (memo, token, j) {
+ var result = fn(token, j, tokens)
+
+ if (result === void 0 || result === '') return memo
+
+ return memo.concat(result)
+ }, [])
+ }
+
+ 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.
+ * @returns {string[]}
+ */
+lunr.Pipeline.prototype.runString = function (str) {
+ var token = new lunr.Token (str)
+
+ 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) 2017 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 cosine 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() * otherVector.magnitude())
+}
+
+/**
+ * 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) 2017 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}
+ */
+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) 2017 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.
+ *
+ * @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.
+ *
+ * @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) 2017 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) 2017 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,
+ wildcardFound = false
+
+ /*
+ * Iterates through all characters within the passed string
+ * appending a node for each character.
+ *
+ * As soon as 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 == "*") {
+ wildcardFound = true
+ node.edges[char] = node
+ node.final = final
+
+ } else {
+ var next = new lunr.TokenSet
+ next.final = final
+
+ node.edges[char] = next
+ node = next
+
+ // TODO: is this needed anymore?
+ if (wildcardFound) {
+ node.edges["*"] = root
+ }
+ }
+ }
+
+ 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) {
+ 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) 2017 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.documentVectors - Document vectors keyed by document reference.
+ * @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.
+ *
+ * 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
+ */
+
+/**
+ * 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 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)
+
+ 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
+
+ if (clause.usePipeline) {
+ terms = this.pipeline.runString(clause.term)
+ } 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()
+
+ 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
+
+ /*
+ * To support field level boosts a query vector is created per
+ * field. This vector is populated using the termIndex found for
+ * the term and a unit value with the appropriate boost applied.
+ *
+ * If the query vector for this field does not exist yet it needs
+ * to be created.
+ */
+ if (queryVectors[field] === undefined) {
+ queryVectors[field] = new lunr.Vector
+ }
+
+ /*
+ * 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, 1 * 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
+ }
+ }
+ }
+ }
+
+ var matchingFieldRefs = Object.keys(matchingFields),
+ results = [],
+ matches = Object.create(null)
+
+ 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,
+ 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) 2017 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 = []
+ 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
+}
+
+/**
+ * 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.
+ *
+ * @param {string} field - The name of a field to index in all documents.
+ */
+lunr.Builder.prototype.field = function (field) {
+ this._fields.push(field)
+}
+
+/**
+ * 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.
+ *
+ * @param {object} doc - The document to add to the index.
+ */
+lunr.Builder.prototype.add = function (doc) {
+ var docRef = doc[this._ref]
+
+ this.documentCount += 1
+
+ for (var i = 0; i < this._fields.length; i++) {
+ var fieldName = this._fields[i],
+ field = doc[fieldName],
+ tokens = this.tokenizer(field),
+ 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 < this._fields.length; k++) {
+ posting[this._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]
+ }
+
+ for (var i = 0; i < this._fields.length; i++) {
+ var field = this._fields[i]
+ accumulator[field] = accumulator[field] / documentsWithField[field]
+ }
+
+ 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]),
+ field = fieldRef.fieldName,
+ fieldLength = this.fieldLengths[fieldRef],
+ fieldVector = new lunr.Vector,
+ termFrequencies = this.fieldTermFrequencies[fieldRef],
+ terms = Object.keys(termFrequencies),
+ termsLength = terms.length
+
+ 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[field])) + tf)
+ 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: 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)
+ 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
+
+/**
+ * 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=0] - Whether the term should have wildcards appended or prepended.
+ */
+
+/**
+ * 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 + "*"
+ }
+
+ this.clauses.push(clause)
+
+ return this
+}
+
+/**
+ * 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.
+ *
+ * @param {string} term - The term 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
+ * })
+ */
+lunr.Query.prototype.term = function (term, options) {
+ var clause = options || {}
+ clause.term = term
+
+ 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.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
+ }
+
+ 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.parseFieldOrTerm
+
+ 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.parseFieldOrTerm = function (parser) {
+ var lexeme = parser.peekLexeme()
+
+ if (lexeme == undefined) {
+ return
+ }
+
+ switch (lexeme.type) {
+ 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.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
+ 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
+ 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
+ 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
+ }))
+})();
@@ 1,2977 1,1 @@
-/**
- * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.1.5
- * Copyright (C) 2017 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 = "2.1.5"
-/*!
- * lunr.utils
- * Copyright (C) 2017 Oliver Nightingale
- */
-
-/**
- * A namespace containing utils for the rest of the lunr library
- */
-lunr.utils = {}
-
-/**
- * Print a warning message to the console.
- *
- * @param {String} message The message to be printed.
- * @memberOf Utils
- */
-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 Utils
- */
-lunr.utils.asString = function (obj) {
- if (obj === void 0 || obj === null) {
- return ""
- } else {
- return obj.toString()
- }
-}
-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
-}
-/**
- * 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) 2017 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.
- *
- * @static
- * @param {?(string|object|object[])} obj - The object to convert into tokens
- * @returns {lunr.Token[]}
- */
-lunr.tokenizer = function (obj) {
- if (obj == null || obj == undefined) {
- return []
- }
-
- if (Array.isArray(obj)) {
- return obj.map(function (t) {
- return new lunr.Token(lunr.utils.asString(t).toLowerCase())
- })
- }
-
- 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) {
- tokens.push(
- new lunr.Token (str.slice(sliceStart, sliceEnd), {
- position: [sliceStart, sliceLength],
- index: tokens.length
- })
- )
- }
-
- 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) 2017 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]
-
- tokens = tokens.reduce(function (memo, token, j) {
- var result = fn(token, j, tokens)
-
- if (result === void 0 || result === '') return memo
-
- return memo.concat(result)
- }, [])
- }
-
- 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.
- * @returns {string[]}
- */
-lunr.Pipeline.prototype.runString = function (str) {
- var token = new lunr.Token (str)
-
- 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) 2017 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 cosine 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() * otherVector.magnitude())
-}
-
-/**
- * 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) 2017 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}
- */
-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) 2017 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.
- *
- * @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.
- *
- * @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) 2017 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) 2017 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,
- wildcardFound = false
-
- /*
- * Iterates through all characters within the passed string
- * appending a node for each character.
- *
- * As soon as 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 == "*") {
- wildcardFound = true
- node.edges[char] = node
- node.final = final
-
- } else {
- var next = new lunr.TokenSet
- next.final = final
-
- node.edges[char] = next
- node = next
-
- // TODO: is this needed anymore?
- if (wildcardFound) {
- node.edges["*"] = root
- }
- }
- }
-
- 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) {
- 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) 2017 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.documentVectors - Document vectors keyed by document reference.
- * @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.
- *
- * 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
- */
-
-/**
- * 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 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)
-
- 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
-
- if (clause.usePipeline) {
- terms = this.pipeline.runString(clause.term)
- } 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()
-
- 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
-
- /*
- * To support field level boosts a query vector is created per
- * field. This vector is populated using the termIndex found for
- * the term and a unit value with the appropriate boost applied.
- *
- * If the query vector for this field does not exist yet it needs
- * to be created.
- */
- if (queryVectors[field] === undefined) {
- queryVectors[field] = new lunr.Vector
- }
-
- /*
- * 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, 1 * 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
- }
- }
- }
- }
-
- var matchingFieldRefs = Object.keys(matchingFields),
- results = [],
- matches = Object.create(null)
-
- 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,
- 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) 2017 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 = []
- 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
-}
-
-/**
- * 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.
- *
- * @param {string} field - The name of a field to index in all documents.
- */
-lunr.Builder.prototype.field = function (field) {
- this._fields.push(field)
-}
-
-/**
- * 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.
- *
- * @param {object} doc - The document to add to the index.
- */
-lunr.Builder.prototype.add = function (doc) {
- var docRef = doc[this._ref]
-
- this.documentCount += 1
-
- for (var i = 0; i < this._fields.length; i++) {
- var fieldName = this._fields[i],
- field = doc[fieldName],
- tokens = this.tokenizer(field),
- 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 < this._fields.length; k++) {
- posting[this._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]
- }
-
- for (var i = 0; i < this._fields.length; i++) {
- var field = this._fields[i]
- accumulator[field] = accumulator[field] / documentsWithField[field]
- }
-
- 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]),
- field = fieldRef.fieldName,
- fieldLength = this.fieldLengths[fieldRef],
- fieldVector = new lunr.Vector,
- termFrequencies = this.fieldTermFrequencies[fieldRef],
- terms = Object.keys(termFrequencies),
- termsLength = terms.length
-
- 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[field])) + tf)
- 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: 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)
- 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
-
-/**
- * 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=0] - Whether the term should have wildcards appended or prepended.
- */
-
-/**
- * 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 + "*"
- }
-
- this.clauses.push(clause)
-
- return this
-}
-
-/**
- * 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.
- *
- * @param {string} term - The term 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
- * })
- */
-lunr.Query.prototype.term = function (term, options) {
- var clause = options || {}
- clause.term = term
-
- 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.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
- }
-
- 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.parseFieldOrTerm
-
- 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.parseFieldOrTerm = function (parser) {
- var lexeme = parser.peekLexeme()
-
- if (lexeme == undefined) {
- return
- }
-
- switch (lexeme.type) {
- 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.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
- 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
- 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
- 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
- }))
-})();
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O=o.exec(r);i=O[1],n=O[2],o=d,o.test(i)&&(r=i+t[n])}if(o=S,a=b,o.test(r)){var O=o.exec(r);i=O[1],o=h,o.test(i)&&(r=i)}else if(a.test(r)){var O=a.exec(r);i=O[1]+O[2],a=h,a.test(i)&&(r=i)}if(o=P,o.test(r)){var O=o.exec(r);i=O[1],o=h,a=c,u=I,(o.test(i)||a.test(i)&&!u.test(i))&&(r=i)}return o=E,a=h,o.test(r)&&a.test(r)&&(o=g,r=r.replace(o,"")),"y"==s&&(r=s.toLowerCase()+r.substr(1)),r};return function(e){return e.update(O)}}(),e.Pipeline.registerFunction(e.stemmer,"stemmer"),e.generateStopWordFilter=function(e){var t=e.reduce(function(e,t){return e[t]=t,e},{});return function(e){return e&&t[e.toString()]!==e.toString()?e:void 0}},e.stopWordFilter=e.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"]),e.Pipeline.registerFunction(e.stopWordFilter,"stopWordFilter"),e.trimmer=function(e){return e.update(function(e){return e.replace(/^\W+/,"").replace(/\W+$/,"")})},e.Pipeline.registerFunction(e.trimmer,"trimmer"),e.TokenSet=function(){this["final"]=!1,this.edges={},this.id=e.TokenSet._nextId,e.TokenSet._nextId+=1},e.TokenSet._nextId=1,e.TokenSet.fromArray=function(t){for(var r=new e.TokenSet.Builder,i=0,n=t.length;n>i;i++)r.insert(t[i]);return r.finish(),r.root},e.TokenSet.fromClause=function(t){return"editDistance"in t?e.TokenSet.fromFuzzyString(t.term,t.editDistance):e.TokenSet.fromString(t.term)},e.TokenSet.fromFuzzyString=function(t,r){for(var i=new e.TokenSet,n=[{node:i,editsRemaining:r,str:t}];n.length;){var s=n.pop();if(s.str.length>0){var o,a=s.str.charAt(0);a in s.node.edges?o=s.node.edges[a]:(o=new e.TokenSet,s.node.edges[a]=o),1==s.str.length?o["final"]=!0:n.push({node:o,editsRemaining:s.editsRemaining,str:s.str.slice(1)})}if(s.editsRemaining>0&&s.str.length>1){var u,a=s.str.charAt(1);a in s.node.edges?u=s.node.edges[a]:(u=new e.TokenSet,s.node.edges[a]=u),s.str.length<=2?u["final"]=!0:n.push({node:u,editsRemaining:s.editsRemaining-1,str:s.str.slice(2)})}if(s.editsRemaining>0&&1==s.str.length&&(s.node["final"]=!0),s.editsRemaining>0&&s.str.length>=1){if("*"in s.node.edges)var l=s.node.edges["*"];else{var l=new e.TokenSet;s.node.edges["*"]=l}1==s.str.length?l["final"]=!0:n.push({node:l,editsRemaining:s.editsRemaining-1,str:s.str.slice(1)})}if(s.editsRemaining>0){if("*"in s.node.edges)var d=s.node.edges["*"];else{var d=new e.TokenSet;s.node.edges["*"]=d}0==s.str.length?d["final"]=!0:n.push({node:d,editsRemaining:s.editsRemaining-1,str:s.str})}if(s.editsRemaining>0&&s.str.length>1){var h,c=s.str.charAt(0),f=s.str.charAt(1);f in s.node.edges?h=s.node.edges[f]:(h=new e.TokenSet,s.node.edges[f]=h),1==s.str.length?h["final"]=!0:n.push({node:h,editsRemaining:s.editsRemaining-1,str:c+s.str.slice(2)})}}return i},e.TokenSet.fromString=function(t){for(var r=new e.TokenSet,i=r,n=!1,s=0,o=t.length;o>s;s++){var a=t[s],u=s==o-1;if("*"==a)n=!0,r.edges[a]=r,r["final"]=u;else{var l=new e.TokenSet;l["final"]=u,r.edges[a]=l,r=l,n&&(r.edges["*"]=i)}}return i},e.TokenSet.prototype.toArray=function(){for(var e=[],t=[{prefix:"",node:this}];t.length;){var r=t.pop(),i=Object.keys(r.node.edges),n=i.length;r.node["final"]&&e.push(r.prefix);for(var s=0;n>s;s++){var o=i[s];t.push({prefix:r.prefix.concat(o),node:r.node.edges[o]})}}return e},e.TokenSet.prototype.toString=function(){if(this._str)return this._str;for(var e=this["final"]?"1":"0",t=Object.keys(this.edges).sort(),r=t.length,i=0;r>i;i++){var n=t[i],s=this.edges[n];e=e+n+s.id}return e},e.TokenSet.prototype.intersect=function(t){for(var r=new e.TokenSet,i=void 0,n=[{qNode:t,output:r,node:this}];n.length;){i=n.pop();for(var s=Object.keys(i.qNode.edges),o=s.length,a=Object.keys(i.node.edges),u=a.length,l=0;o>l;l++)for(var d=s[l],h=0;u>h;h++){var c=a[h];if(c==d||"*"==d){var f=i.node.edges[c],p=i.qNode.edges[d],y=f["final"]&&p["final"],m=void 0;c in i.output.edges?(m=i.output.edges[c],m["final"]=m["final"]||y):(m=new e.TokenSet,m["final"]=y,i.output.edges[c]=m),n.push({qNode:p,output:m,node:f})}}}return r},e.TokenSet.Builder=function(){this.previousWord="",this.root=new e.TokenSet,this.uncheckedNodes=[],this.minimizedNodes={}},e.TokenSet.Builder.prototype.insert=function(t){var r,i=0;if(t<this.previousWord)throw new Error("Out of order word insertion");for(var n=0;n<t.length&&n<this.previousWord.length&&t[n]==this.previousWord[n];n++)i++;this.minimize(i),r=0==this.uncheckedNodes.length?this.root:this.uncheckedNodes[this.uncheckedNodes.length-1].child;for(var n=i;n<t.length;n++){var s=new e.TokenSet,o=t[n];r.edges[o]=s,this.uncheckedNodes.push({parent:r,"char":o,child:s}),r=s}r["final"]=!0,this.previousWord=t},e.TokenSet.Builder.prototype.finish=function(){this.minimize(0)},e.TokenSet.Builder.prototype.minimize=function(e){for(var t=this.uncheckedNodes.length-1;t>=e;t--){var r=this.uncheckedNodes[t],i=r.child.toString();i in this.minimizedNodes?r.parent.edges[r["char"]]=this.minimizedNodes[i]:(r.child._str=i,this.minimizedNodes[i]=r.child),this.uncheckedNodes.pop()}},e.Index=function(e){this.invertedIndex=e.invertedIndex,this.fieldVectors=e.fieldVectors,this.tokenSet=e.tokenSet,this.fields=e.fields,this.pipeline=e.pipeline},e.Index.prototype.search=function(t){return this.query(function(r){var i=new e.QueryParser(t,r);i.parse()})},e.Index.prototype.query=function(t){var r=new e.Query(this.fields),i=Object.create(null),n=Object.create(null),s=Object.create(null);t.call(r,r);for(var o=0;o<r.clauses.length;o++){var a=r.clauses[o],u=null;u=a.usePipeline?this.pipeline.runString(a.term):[a.term];for(var l=0;l<u.length;l++){var d=u[l];a.term=d;for(var h=e.TokenSet.fromClause(a),c=this.tokenSet.intersect(h).toArray(),f=0;f<c.length;f++)for(var p=c[f],y=this.invertedIndex[p],m=y._index,v=0;v<a.fields.length;v++){var g=a.fields[v],x=y[g],w=Object.keys(x),k=p+"/"+g;if(void 0===n[g]&&(n[g]=new e.Vector),n[g].upsert(m,1*a.boost,function(e,t){return e+t}),!s[k]){for(var Q=0;Q<w.length;Q++){var L,T=w[Q],S=new e.FieldRef(T,g),b=x[T];void 0===(L=i[S])?i[S]=new e.MatchData(p,g,b):L.add(p,g,b)}s[k]=!0}}}}for(var P=Object.keys(i),E=[],I=Object.create(null),o=0;o<P.length;o++){var O,F=e.FieldRef.fromString(P[o]),R=F.docRef,_=this.fieldVectors[F],N=n[F.fieldName].similarity(_);if(void 0!==(O=I[R]))O.score+=N,O.matchData.combine(i[F]);else{var C={ref:R,score:N,matchData:i[F]};I[R]=C,E.push(C)}}return E.sort(function(e,t){return t.score-e.score})},e.Index.prototype.toJSON=function(){var t=Object.keys(this.invertedIndex).sort().map(function(e){return[e,this.invertedIndex[e]]},this),r=Object.keys(this.fieldVectors).map(function(e){return[e,this.fieldVectors[e].toJSON()]},this);return{version:e.version,fields:this.fields,fieldVectors:r,invertedIndex:t,pipeline:this.pipeline.toJSON()}},e.Index.load=function(t){var r={},i={},n=t.fieldVectors,s={},o=t.invertedIndex,a=new e.TokenSet.Builder,u=e.Pipeline.load(t.pipeline);t.version!=e.version&&e.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+e.version+"' does not match serialized index '"+t.version+"'");for(var l=0;l<n.length;l++){var d=n[l],h=d[0],c=d[1];i[h]=new e.Vector(c)}for(var l=0;l<o.length;l++){var d=o[l],f=d[0],p=d[1];a.insert(f),s[f]=p}return a.finish(),r.fields=t.fields,r.fieldVectors=i,r.invertedIndex=s,r.tokenSet=a.root,r.pipeline=u,new e.Index(r)},e.Builder=function(){this._ref="id",this._fields=[],this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=e.tokenizer,this.pipeline=new e.Pipeline,this.searchPipeline=new e.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},e.Builder.prototype.ref=function(e){this._ref=e},e.Builder.prototype.field=function(e){this._fields.push(e)},e.Builder.prototype.b=function(e){0>e?this._b=0:e>1?this._b=1:this._b=e},e.Builder.prototype.k1=function(e){this._k1=e},e.Builder.prototype.add=function(t){var r=t[this._ref];this.documentCount+=1;for(var i=0;i<this._fields.length;i++){var n=this._fields[i],s=t[n],o=this.tokenizer(s),a=this.pipeline.run(o),u=new e.FieldRef(r,n),l=Object.create(null);this.fieldTermFrequencies[u]=l,this.fieldLengths[u]=0,this.fieldLengths[u]+=a.length;for(var d=0;d<a.length;d++){var h=a[d];if(void 0==l[h]&&(l[h]=0),l[h]+=1,void 0==this.invertedIndex[h]){var c=Object.create(null);c._index=this.termIndex,this.termIndex+=1;for(var f=0;f<this._fields.length;f++)c[this._fields[f]]=Object.create(null);this.invertedIndex[h]=c}void 0==this.invertedIndex[h][n][r]&&(this.invertedIndex[h][n][r]=Object.create(null));for(var p=0;p<this.metadataWhitelist.length;p++){var y=this.metadataWhitelist[p],m=h.metadata[y];void 0==this.invertedIndex[h][n][r][y]&&(this.invertedIndex[h][n][r][y]=[]),this.invertedIndex[h][n][r][y].push(m)}}}},e.Builder.prototype.calculateAverageFieldLengths=function(){for(var t=Object.keys(this.fieldLengths),r=t.length,i={},n={},s=0;r>s;s++){var o=e.FieldRef.fromString(t[s]),a=o.fieldName;n[a]||(n[a]=0),n[a]+=1,i[a]||(i[a]=0),i[a]+=this.fieldLengths[o]}for(var s=0;s<this._fields.length;s++){var a=this._fields[s];i[a]=i[a]/n[a]}this.averageFieldLength=i},e.Builder.prototype.createFieldVectors=function(){for(var t={},r=Object.keys(this.fieldTermFrequencies),i=r.length,n=Object.create(null),s=0;i>s;s++){for(var o=e.FieldRef.fromString(r[s]),a=o.fieldName,u=this.fieldLengths[o],l=new e.Vector,d=this.fieldTermFrequencies[o],h=Object.keys(d),c=h.length,f=0;c>f;f++){var p,y,m,v=h[f],g=d[v],x=this.invertedIndex[v]._index;void 0===n[v]?(p=e.idf(this.invertedIndex[v],this.documentCount),n[v]=p):p=n[v],y=p*((this._k1+1)*g)/(this._k1*(1-this._b+this._b*(u/this.averageFieldLength[a]))+g),m=Math.round(1e3*y)/1e3,l.insert(x,m)}t[o]=l}this.fieldVectors=t},e.Builder.prototype.createTokenSet=function(){this.tokenSet=e.TokenSet.fromArray(Object.keys(this.invertedIndex).sort())},e.Builder.prototype.build=function(){return this.calculateAverageFieldLengths(),this.createFieldVectors(),this.createTokenSet(),new e.Index({invertedIndex:this.invertedIndex,fieldVectors:this.fieldVectors,tokenSet:this.tokenSet,fields:this._fields,pipeline:this.searchPipeline})},e.Builder.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},e.MatchData=function(e,t,r){for(var i=Object.create(null),n=Object.keys(r),s=0;s<n.length;s++){var o=n[s];i[o]=r[o].slice()}this.metadata=Object.create(null),this.metadata[e]=Object.create(null),this.metadata[e][t]=i},e.MatchData.prototype.combine=function(e){for(var t=Object.keys(e.metadata),r=0;r<t.length;r++){var i=t[r],n=Object.keys(e.metadata[i]);void 0==this.metadata[i]&&(this.metadata[i]=Object.create(null));for(var s=0;s<n.length;s++){var o=n[s],a=Object.keys(e.metadata[i][o]);void 0==this.metadata[i][o]&&(this.metadata[i][o]=Object.create(null));for(var u=0;u<a.length;u++){var l=a[u];void 0==this.metadata[i][o][l]?this.metadata[i][o][l]=e.metadata[i][o][l]:this.metadata[i][o][l]=this.metadata[i][o][l].concat(e.metadata[i][o][l])}}}},e.MatchData.prototype.add=function(e,t,r){if(!(e in this.metadata))return this.metadata[e]=Object.create(null),void(this.metadata[e][t]=r);if(!(t in this.metadata[e]))return void(this.metadata[e][t]=r);for(var i=Object.keys(r),n=0;n<i.length;n++){var s=i[n];s in this.metadata[e][t]?this.metadata[e][t][s]=this.metadata[e][t][s].concat(r[s]):this.metadata[e][t][s]=r[s]}},e.Query=function(e){this.clauses=[],this.allFields=e},e.Query.wildcard=new String("*"),e.Query.wildcard.NONE=0,e.Query.wildcard.LEADING=1,e.Query.wildcard.TRAILING=2,e.Query.prototype.clause=function(t){return"fields"in t||(t.fields=this.allFields),"boost"in t||(t.boost=1),"usePipeline"in t||(t.usePipeline=!0),"wildcard"in t||(t.wildcard=e.Query.wildcard.NONE),t.wildcard&e.Query.wildcard.LEADING&&t.term.charAt(0)!=e.Query.wildcard&&(t.term="*"+t.term),t.wildcard&e.Query.wildcard.TRAILING&&t.term.slice(-1)!=e.Query.wildcard&&(t.term=""+t.term+"*"),this.clauses.push(t),this},e.Query.prototype.term=function(e,t){var r=t||{};return r.term=e,this.clause(r),this},e.QueryParseError=function(e,t,r){this.name="QueryParseError",this.message=e,this.start=t,this.end=r},e.QueryParseError.prototype=new Error,e.QueryLexer=function(e){this.lexemes=[],this.str=e,this.length=e.length,this.pos=0,this.start=0,this.escapeCharPositions=[]},e.QueryLexer.prototype.run=function(){for(var t=e.QueryLexer.lexText;t;)t=t(this)},e.QueryLexer.prototype.sliceString=function(){for(var e=[],t=this.start,r=this.pos,i=0;i<this.escapeCharPositions.length;i++)r=this.escapeCharPositions[i],e.push(this.str.slice(t,r)),t=r+1;return e.push(this.str.slice(t,this.pos)),this.escapeCharPositions.length=0,e.join("")},e.QueryLexer.prototype.emit=function(e){this.lexemes.push({type:e,str:this.sliceString(),start:this.start,end:this.pos}),this.start=this.pos},e.QueryLexer.prototype.escapeCharacter=function(){this.escapeCharPositions.push(this.pos-1),this.pos+=1},e.QueryLexer.prototype.next=function(){if(this.pos>=this.length)return e.QueryLexer.EOS;var t=this.str.charAt(this.pos);return this.pos+=1,t},e.QueryLexer.prototype.width=function(){return this.pos-this.start},e.QueryLexer.prototype.ignore=function(){this.start==this.pos&&(this.pos+=1),this.start=this.pos},e.QueryLexer.prototype.backup=function(){this.pos-=1},e.QueryLexer.prototype.acceptDigitRun=function(){var t,r;do t=this.next(),r=t.charCodeAt(0);while(r>47&&58>r);t!=e.QueryLexer.EOS&&this.backup()},e.QueryLexer.prototype.more=function(){return this.pos<this.length},e.QueryLexer.EOS="EOS",e.QueryLexer.FIELD="FIELD",e.QueryLexer.TERM="TERM",e.QueryLexer.EDIT_DISTANCE="EDIT_DISTANCE",e.QueryLexer.BOOST="BOOST",e.QueryLexer.lexField=function(t){return t.backup(),t.emit(e.QueryLexer.FIELD),t.ignore(),e.QueryLexer.lexText},e.QueryLexer.lexTerm=function(t){return t.width()>1&&(t.backup(),t.emit(e.QueryLexer.TERM)),t.ignore(),t.more()?e.QueryLexer.lexText:void 0},e.QueryLexer.lexEditDistance=function(t){return t.ignore(),t.acceptDigitRun(),t.emit(e.QueryLexer.EDIT_DISTANCE),e.QueryLexer.lexText},e.QueryLexer.lexBoost=function(t){return t.ignore(),t.acceptDigitRun(),t.emit(e.QueryLexer.BOOST),e.QueryLexer.lexText},e.QueryLexer.lexEOS=function(t){t.width()>0&&t.emit(e.QueryLexer.TERM)},e.QueryLexer.termSeparator=e.tokenizer.separator,e.QueryLexer.lexText=function(t){for(;;){var r=t.next();if(r==e.QueryLexer.EOS)return e.QueryLexer.lexEOS;if(92!=r.charCodeAt(0)){if(":"==r)return e.QueryLexer.lexField;if("~"==r)return t.backup(),t.width()>0&&t.emit(e.QueryLexer.TERM),e.QueryLexer.lexEditDistance;if("^"==r)return t.backup(),t.width()>0&&t.emit(e.QueryLexer.TERM),e.QueryLexer.lexBoost;if(r.match(e.QueryLexer.termSeparator))return e.QueryLexer.lexTerm}else t.escapeCharacter()}},e.QueryParser=function(t,r){this.lexer=new e.QueryLexer(t),this.query=r,this.currentClause={},this.lexemeIdx=0},e.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var t=e.QueryParser.parseFieldOrTerm;t;)t=t(this);return this.query},e.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},e.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},e.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},e.QueryParser.parseFieldOrTerm=function(t){var r=t.peekLexeme();if(void 0!=r)switch(r.type){case e.QueryLexer.FIELD:return e.QueryParser.parseField;case e.QueryLexer.TERM:return e.QueryParser.parseTerm;default:var i="expected either a field or a term, found "+r.type;throw r.str.length>=1&&(i+=" with value '"+r.str+"'"),new e.QueryParseError(i,r.start,r.end)}},e.QueryParser.parseField=function(t){var r=t.consumeLexeme();if(void 0!=r){if(-1==t.query.allFields.indexOf(r.str)){var i=t.query.allFields.map(function(e){return"'"+e+"'"}).join(", "),n="unrecognised field '"+r.str+"', possible fields: "+i;throw new e.QueryParseError(n,r.start,r.end)}t.currentClause.fields=[r.str];var s=t.peekLexeme();if(void 0==s){var n="expecting term, found nothing";throw new e.QueryParseError(n,r.start,r.end)}switch(s.type){case e.QueryLexer.TERM:return e.QueryParser.parseTerm;default:var n="expecting term, found '"+s.type+"'";throw new e.QueryParseError(n,s.start,s.end)}}},e.QueryParser.parseTerm=function(t){var r=t.consumeLexeme();if(void 0!=r){t.currentClause.term=r.str.toLowerCase(),-1!=r.str.indexOf("*")&&(t.currentClause.usePipeline=!1);var i=t.peekLexeme();if(void 0==i)return void t.nextClause();switch(i.type){case e.QueryLexer.TERM:return t.nextClause(),e.QueryParser.parseTerm;case e.QueryLexer.FIELD:return t.nextClause(),e.QueryParser.parseField;case e.QueryLexer.EDIT_DISTANCE:return e.QueryParser.parseEditDistance;case e.QueryLexer.BOOST:return e.QueryParser.parseBoost;default:var n="Unexpected lexeme type '"+i.type+"'";throw new e.QueryParseError(n,i.start,i.end)}}},e.QueryParser.parseEditDistance=function(t){var r=t.consumeLexeme();if(void 0!=r){var i=parseInt(r.str,10);if(isNaN(i)){var n="edit distance must be numeric";throw new e.QueryParseError(n,r.start,r.end)}t.currentClause.editDistance=i;var s=t.peekLexeme();if(void 0==s)return void t.nextClause();switch(s.type){case e.QueryLexer.TERM:return t.nextClause(),e.QueryParser.parseTerm;case e.QueryLexer.FIELD:return t.nextClause(),e.QueryParser.parseField;case e.QueryLexer.EDIT_DISTANCE:return e.QueryParser.parseEditDistance;case e.QueryLexer.BOOST:return e.QueryParser.parseBoost;default:var n="Unexpected lexeme type '"+s.type+"'";throw new e.QueryParseError(n,s.start,s.end)}}},e.QueryParser.parseBoost=function(t){var r=t.consumeLexeme();if(void 0!=r){var i=parseInt(r.str,10);if(isNaN(i)){var n="boost must be numeric";throw new e.QueryParseError(n,r.start,r.end)}t.currentClause.boost=i;var s=t.peekLexeme();if(void 0==s)return void t.nextClause();switch(s.type){case e.QueryLexer.TERM:return t.nextClause(),e.QueryParser.parseTerm;case e.QueryLexer.FIELD:return t.nextClause(),e.QueryParser.parseField;case e.QueryLexer.EDIT_DISTANCE:return e.QueryParser.parseEditDistance;case e.QueryLexer.BOOST:return e.QueryParser.parseBoost;default:var n="Unexpected lexeme type '"+s.type+"'";throw new e.QueryParseError(n,s.start,s.end)}}},function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():e.lunr=t()}(this,function(){return e})}();<
\ No newline at end of file