2 files changed, 594 insertions(+), 87 deletions(-)

M assets/js/lunr/lunr.js
M assets/js/lunr/lunr.min.js

@@ 1,6 1,6 @@
 /**
- * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.1.5
- * Copyright (C) 2017 Oliver Nightingale
+ * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.3
+ * Copyright (C) 2018 Oliver Nightingale
  * @license MIT
  */
 


@@ 54,14 54,15 @@ var lunr = function (config) {
   return builder.build()
 }
 
-lunr.version = "2.1.5"
+lunr.version = "2.3.3"
 /*!
  * lunr.utils
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**
  * A namespace containing utils for the rest of the lunr library
+ * @namespace lunr.utils
  */
 lunr.utils = {}
 


@@ 69,7 70,8 @@ lunr.utils = {}
  * Print a warning message to the console.
  *
  * @param {String} message The message to be printed.
- * @memberOf Utils
+ * @memberOf lunr.utils
+ * @function
  */
 lunr.utils.warn = (function (global) {
   /* eslint-disable no-console */


@@ 90,7 92,7 @@ lunr.utils.warn = (function (global) {
  *
  * @param {Any} obj The object to convert to a string.
  * @return {String} string representation of the passed object.
- * @memberOf Utils
+ * @memberOf lunr.utils
  */
 lunr.utils.asString = function (obj) {
   if (obj === void 0 || obj === null) {


@@ 99,6 101,52 @@ lunr.utils.asString = function (obj) {
     return obj.toString()
   }
 }
+
+/**
+ * Clones an object.
+ *
+ * Will create a copy of an existing object such that any mutations
+ * on the copy cannot affect the original.
+ *
+ * Only shallow objects are supported, passing a nested object to this
+ * function will cause a TypeError.
+ *
+ * Objects with primitives, and arrays of primitives are supported.
+ *
+ * @param {Object} obj The object to clone.
+ * @return {Object} a clone of the passed object.
+ * @throws {TypeError} when a nested object is passed.
+ * @memberOf Utils
+ */
+lunr.utils.clone = function (obj) {
+  if (obj === null || obj === undefined) {
+    return obj
+  }
+
+  var clone = Object.create(null),
+      keys = Object.keys(obj)
+
+  for (var i = 0; i < keys.length; i++) {
+    var key = keys[i],
+        val = obj[key]
+
+    if (Array.isArray(val)) {
+      clone[key] = val.slice()
+      continue
+    }
+
+    if (typeof val === 'string' ||
+        typeof val === 'number' ||
+        typeof val === 'boolean') {
+      clone[key] = val
+      continue
+    }
+
+    throw new TypeError("clone is not deep and does not support nested objects")
+  }
+
+  return clone
+}
 lunr.FieldRef = function (docRef, fieldName, stringValue) {
   this.docRef = docRef
   this.fieldName = fieldName


@@ 127,6 175,139 @@ lunr.FieldRef.prototype.toString = function () {
 
   return this._stringValue
 }
+/*!
+ * lunr.Set
+ * Copyright (C) 2018 Oliver Nightingale
+ */
+
+/**
+ * A lunr set.
+ *
+ * @constructor
+ */
+lunr.Set = function (elements) {
+  this.elements = Object.create(null)
+
+  if (elements) {
+    this.length = elements.length
+
+    for (var i = 0; i < this.length; i++) {
+      this.elements[elements[i]] = true
+    }
+  } else {
+    this.length = 0
+  }
+}
+
+/**
+ * A complete set that contains all elements.
+ *
+ * @static
+ * @readonly
+ * @type {lunr.Set}
+ */
+lunr.Set.complete = {
+  intersect: function (other) {
+    return other
+  },
+
+  union: function (other) {
+    return other
+  },
+
+  contains: function () {
+    return true
+  }
+}
+
+/**
+ * An empty set that contains no elements.
+ *
+ * @static
+ * @readonly
+ * @type {lunr.Set}
+ */
+lunr.Set.empty = {
+  intersect: function () {
+    return this
+  },
+
+  union: function (other) {
+    return other
+  },
+
+  contains: function () {
+    return false
+  }
+}
+
+/**
+ * Returns true if this set contains the specified object.
+ *
+ * @param {object} object - Object whose presence in this set is to be tested.
+ * @returns {boolean} - True if this set contains the specified object.
+ */
+lunr.Set.prototype.contains = function (object) {
+  return !!this.elements[object]
+}
+
+/**
+ * Returns a new set containing only the elements that are present in both
+ * this set and the specified set.
+ *
+ * @param {lunr.Set} other - set to intersect with this set.
+ * @returns {lunr.Set} a new set that is the intersection of this and the specified set.
+ */
+
+lunr.Set.prototype.intersect = function (other) {
+  var a, b, elements, intersection = []
+
+  if (other === lunr.Set.complete) {
+    return this
+  }
+
+  if (other === lunr.Set.empty) {
+    return other
+  }
+
+  if (this.length < other.length) {
+    a = this
+    b = other
+  } else {
+    a = other
+    b = this
+  }
+
+  elements = Object.keys(a.elements)
+
+  for (var i = 0; i < elements.length; i++) {
+    var element = elements[i]
+    if (element in b.elements) {
+      intersection.push(element)
+    }
+  }
+
+  return new lunr.Set (intersection)
+}
+
+/**
+ * Returns a new set combining the elements of this and the specified set.
+ *
+ * @param {lunr.Set} other - set to union with this set.
+ * @return {lunr.Set} a new set that is the union of this and the specified set.
+ */
+
+lunr.Set.prototype.union = function (other) {
+  if (other === lunr.Set.complete) {
+    return lunr.Set.complete
+  }
+
+  if (other === lunr.Set.empty) {
+    return this
+  }
+
+  return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))
+}
 /**
  * A function to calculate the inverse document frequency for
  * a posting. This is shared between the builder and the index


@@ 208,7 389,7 @@ lunr.Token.prototype.clone = function (fn) {
 }
 /*!
  * lunr.tokenizer
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**


@@ 220,18 401,26 @@ lunr.Token.prototype.clone = function (fn) {
  * then will split this string on the character in `lunr.tokenizer.separator`.
  * Arrays will have their elements converted to strings and wrapped in a lunr.Token.
  *
+ * Optional metadata can be passed to the tokenizer, this metadata will be cloned and
+ * added as metadata to every token that is created from the object to be tokenized.
+ *
  * @static
  * @param {?(string|object|object[])} obj - The object to convert into tokens
+ * @param {?object} metadata - Optional metadata to associate with every token
  * @returns {lunr.Token[]}
+ * @see {@link lunr.Pipeline}
  */
-lunr.tokenizer = function (obj) {
+lunr.tokenizer = function (obj, metadata) {
   if (obj == null || obj == undefined) {
     return []
   }
 
   if (Array.isArray(obj)) {
     return obj.map(function (t) {
-      return new lunr.Token(lunr.utils.asString(t).toLowerCase())
+      return new lunr.Token(
+        lunr.utils.asString(t).toLowerCase(),
+        lunr.utils.clone(metadata)
+      )
     })
   }
 


@@ 246,11 435,15 @@ lunr.tokenizer = function (obj) {
     if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {
 
       if (sliceLength > 0) {
+        var tokenMetadata = lunr.utils.clone(metadata) || {}
+        tokenMetadata["position"] = [sliceStart, sliceLength]
+        tokenMetadata["index"] = tokens.length
+
         tokens.push(
-          new lunr.Token (str.slice(sliceStart, sliceEnd), {
-            position: [sliceStart, sliceLength],
-            index: tokens.length
-          })
+          new lunr.Token (
+            str.slice(sliceStart, sliceEnd),
+            tokenMetadata
+          )
         )
       }
 


@@ 272,7 465,7 @@ lunr.tokenizer = function (obj) {
 lunr.tokenizer.separator = /[\s\-]+/
 /*!
  * lunr.Pipeline
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**


@@ 475,14 668,23 @@ lunr.Pipeline.prototype.run = function (tokens) {
 
   for (var i = 0; i < stackLength; i++) {
     var fn = this._stack[i]
+    var memo = []
 
-    tokens = tokens.reduce(function (memo, token, j) {
-      var result = fn(token, j, tokens)
+    for (var j = 0; j < tokens.length; j++) {
+      var result = fn(tokens[j], j, tokens)
 
-      if (result === void 0 || result === '') return memo
+      if (result === void 0 || result === '') continue
+
+      if (result instanceof Array) {
+        for (var k = 0; k < result.length; k++) {
+          memo.push(result[k])
+        }
+      } else {
+        memo.push(result)
+      }
+    }
 
-      return memo.concat(result)
-    }, [])
+    tokens = memo
   }
 
   return tokens


@@ 494,10 696,12 @@ lunr.Pipeline.prototype.run = function (tokens) {
  * token and mapping the resulting tokens back to strings.
  *
  * @param {string} str - The string to pass through the pipeline.
+ * @param {?object} metadata - Optional metadata to associate with the token
+ * passed to the pipeline.
  * @returns {string[]}
  */
-lunr.Pipeline.prototype.runString = function (str) {
-  var token = new lunr.Token (str)
+lunr.Pipeline.prototype.runString = function (str, metadata) {
+  var token = new lunr.Token (str, metadata)
 
   return this.run([token]).map(function (t) {
     return t.toString()


@@ 528,7 732,7 @@ lunr.Pipeline.prototype.toJSON = function () {
 }
 /*!
  * lunr.Vector
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**


@@ 689,15 893,14 @@ lunr.Vector.prototype.dot = function (otherVector) {
 }
 
 /**
- * Calculates the cosine similarity between this vector and another
- * vector.
+ * Calculates the similarity between this vector and another vector.
  *
  * @param {lunr.Vector} otherVector - The other vector to calculate the
  * similarity with.
  * @returns {Number}
  */
 lunr.Vector.prototype.similarity = function (otherVector) {
-  return this.dot(otherVector) / (this.magnitude() * otherVector.magnitude())
+  return this.dot(otherVector) / this.magnitude() || 0
 }
 
 /**


@@ 726,7 929,7 @@ lunr.Vector.prototype.toJSON = function () {
 /* eslint-disable */
 /*!
  * lunr.stemmer
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt
  */
 


@@ 739,6 942,7 @@ lunr.Vector.prototype.toJSON = function () {
  * @param {lunr.Token} token - The string to stem
  * @returns {lunr.Token}
  * @see {@link lunr.Pipeline}
+ * @function
  */
 lunr.stemmer = (function(){
   var step2list = {


@@ 947,7 1151,7 @@ lunr.stemmer = (function(){
 lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')
 /*!
  * lunr.stopWordFilter
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**


@@ 957,6 1161,7 @@ lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')
  * The built in lunr.stopWordFilter is built using this generator and can be used
  * to generate custom stopWordFilters for applications or non English languages.
  *
+ * @function
  * @param {Array} token The token to pass through the filter
  * @returns {lunr.PipelineFunction}
  * @see lunr.Pipeline


@@ 980,6 1185,7 @@ lunr.generateStopWordFilter = function (stopWords) {
  * This is intended to be used in the Pipeline. If the token does not pass the
  * filter then undefined will be returned.
  *
+ * @function
  * @implements {lunr.PipelineFunction}
  * @params {lunr.Token} token - A token to check for being a stop word.
  * @returns {lunr.Token}


@@ 1110,7 1316,7 @@ lunr.stopWordFilter = lunr.generateStopWordFilter([
 lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')
 /*!
  * lunr.trimmer
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**


@@ 1137,7 1343,7 @@ lunr.trimmer = function (token) {
 lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')
 /*!
  * lunr.TokenSet
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**


@@ 1379,14 1585,13 @@ lunr.TokenSet.fromFuzzyString = function (str, editDistance) {
  */
 lunr.TokenSet.fromString = function (str) {
   var node = new lunr.TokenSet,
-      root = node,
-      wildcardFound = false
+      root = node
 
   /*
    * 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
+   * When a wildcard character is found then a self
    * referencing edge is introduced to continually match
    * any number of any characters.
    */


@@ 1395,7 1600,6 @@ lunr.TokenSet.fromString = function (str) {
         final = (i == len - 1)
 
     if (char == "*") {
-      wildcardFound = true
       node.edges[char] = node
       node.final = final
 


@@ 1405,11 1609,6 @@ lunr.TokenSet.fromString = function (str) {
 
       node.edges[char] = next
       node = next
-
-      // TODO: is this needed anymore?
-      if (wildcardFound) {
-        node.edges["*"] = root
-      }
     }
   }
 


@@ 1436,6 1635,11 @@ lunr.TokenSet.prototype.toArray = function () {
         len = edges.length
 
     if (frame.node.final) {
+      /* In Safari, at this point the prefix is sometimes corrupted, see:
+       * https://github.com/olivernn/lunr.js/issues/279 Calling any
+       * String.prototype method forces Safari to "cast" this string to what
+       * it's supposed to be, fixing the bug. */
+      frame.prefix.charAt(0)
       words.push(frame.prefix)
     }
 


@@ 1632,7 1836,7 @@ lunr.TokenSet.Builder.prototype.minimize = function (downTo) {
 }
 /*!
  * lunr.Index
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**


@@ 1646,7 1850,7 @@ lunr.TokenSet.Builder.prototype.minimize = function (downTo) {
  * @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 {Object<string, lunr.Vector>} attrs.fieldVectors - Field vectors
  * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.
  * @param {string[]} attrs.fields - The names of indexed document fields.
  * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.


@@ 1692,6 1896,12 @@ lunr.Index = function (attrs) {
  * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.
  * Avoid large values for edit distance to improve query performance.
  *
+ * Each term also supports a presence modifier. By default a term's presence in document is optional, however
+ * this can be changed to either required or prohibited. For a term's presence to be required in a document the
+ * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and
+ * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not
+ * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.
+ *
  * To escape special characters the backslash character '\' can be used, this allows searches to include
  * characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead
  * of attempting to apply a boost of 2 to the search term "foo".


@@ 1707,13 1917,16 @@ lunr.Index = function (attrs) {
  * hello^10
  * @example <caption>term with an edit distance of 2</caption>
  * hello~2
+ * @example <caption>terms with presence modifiers</caption>
+ * -foo +bar baz
  */
 
 /**
  * Performs a search against the index using lunr query syntax.
  *
  * Results will be returned sorted by their score, the most relevant results
- * will be returned first.
+ * will be returned first.  For details on how the score is calculated, please see
+ * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.
  *
  * For more programmatic querying use lunr.Index#query.
  *


@@ 1764,7 1977,18 @@ lunr.Index.prototype.query = function (fn) {
   var query = new lunr.Query(this.fields),
       matchingFields = Object.create(null),
       queryVectors = Object.create(null),
-      termFieldCache = Object.create(null)
+      termFieldCache = Object.create(null),
+      requiredMatches = Object.create(null),
+      prohibitedMatches = Object.create(null)
+
+  /*
+   * To support field level boosts a query vector is created per
+   * field. An empty vector is eagerly created to support negated
+   * queries.
+   */
+  for (var i = 0; i < this.fields.length; i++) {
+    queryVectors[this.fields[i]] = new lunr.Vector
+  }
 
   fn.call(query, query)
 


@@ 1778,10 2002,13 @@ lunr.Index.prototype.query = function (fn) {
      * for a single query term.
      */
     var clause = query.clauses[i],
-        terms = null
+        terms = null,
+        clauseMatches = lunr.Set.complete
 
     if (clause.usePipeline) {
-      terms = this.pipeline.runString(clause.term)
+      terms = this.pipeline.runString(clause.term, {
+        fields: clause.fields
+      })
     } else {
       terms = [clause.term]
     }


@@ 1805,6 2032,21 @@ lunr.Index.prototype.query = function (fn) {
       var termTokenSet = lunr.TokenSet.fromClause(clause),
           expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()
 
+      /*
+       * If a term marked as required does not exist in the tokenSet it is
+       * impossible for the search to return any matches. We set all the field
+       * scoped required matches set to empty and stop examining any further
+       * clauses.
+       */
+      if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {
+        for (var k = 0; k < clause.fields.length; k++) {
+          var field = clause.fields[k]
+          requiredMatches[field] = lunr.Set.empty
+        }
+
+        break
+      }
+
       for (var j = 0; j < expandedTerms.length; j++) {
         /*
          * For each term get the posting and termIndex, this is required for


@@ 1826,26 2068,50 @@ lunr.Index.prototype.query = function (fn) {
           var field = clause.fields[k],
               fieldPosting = posting[field],
               matchingDocumentRefs = Object.keys(fieldPosting),
-              termField = expandedTerm + "/" + field
+              termField = expandedTerm + "/" + field,
+              matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)
 
           /*
-           * 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 presence of this term is required ensure that the matching
+           * documents are added to the set of required matches for this clause.
            *
-           * 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
+          if (clause.presence == lunr.Query.presence.REQUIRED) {
+            clauseMatches = clauseMatches.union(matchingDocumentsSet)
+
+            if (requiredMatches[field] === undefined) {
+              requiredMatches[field] = lunr.Set.complete
+            }
+          }
+
+          /*
+           * if the presence of this term is prohibited ensure that the matching
+           * documents are added to the set of prohibited matches for this field,
+           * creating that set if it does not yet exist.
+           */
+          if (clause.presence == lunr.Query.presence.PROHIBITED) {
+            if (prohibitedMatches[field] === undefined) {
+              prohibitedMatches[field] = lunr.Set.empty
+            }
+
+            prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)
+
+            /*
+             * Prohibited matches should not be part of the query vector used for
+             * similarity scoring and no metadata should be extracted so we continue
+             * to the next field
+             */
+            continue
           }
 
           /*
+           * The query field vector is populated using the termIndex found for
+           * the term and a unit value with the appropriate boost applied.
            * Using upsert because there could already be an entry in the vector
            * for the term we are working with. In that case we just add the scores
            * together.
            */
-          queryVectors[field].upsert(termIndex, 1 * clause.boost, function (a, b) { return a + b })
+          queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })
 
           /**
            * If we've already seen this term, field combo then we've already collected


@@ 1879,12 2145,65 @@ lunr.Index.prototype.query = function (fn) {
         }
       }
     }
+
+    /**
+     * If the presence was required we need to update the requiredMatches field sets.
+     * We do this after all fields for the term have collected their matches because
+     * the clause terms presence is required in _any_ of the fields not _all_ of the
+     * fields.
+     */
+    if (clause.presence === lunr.Query.presence.REQUIRED) {
+      for (var k = 0; k < clause.fields.length; k++) {
+        var field = clause.fields[k]
+        requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)
+      }
+    }
+  }
+
+  /**
+   * Need to combine the field scoped required and prohibited
+   * matching documents into a global set of required and prohibited
+   * matches
+   */
+  var allRequiredMatches = lunr.Set.complete,
+      allProhibitedMatches = lunr.Set.empty
+
+  for (var i = 0; i < this.fields.length; i++) {
+    var field = this.fields[i]
+
+    if (requiredMatches[field]) {
+      allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])
+    }
+
+    if (prohibitedMatches[field]) {
+      allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])
+    }
   }
 
   var matchingFieldRefs = Object.keys(matchingFields),
       results = [],
       matches = Object.create(null)
 
+  /*
+   * If the query is negated (contains only prohibited terms)
+   * we need to get _all_ fieldRefs currently existing in the
+   * index. This is only done when we know that the query is
+   * entirely prohibited terms to avoid any cost of getting all
+   * fieldRefs unnecessarily.
+   *
+   * Additionally, blank MatchData must be created to correctly
+   * populate the results.
+   */
+  if (query.isNegated()) {
+    matchingFieldRefs = Object.keys(this.fieldVectors)
+
+    for (var i = 0; i < matchingFieldRefs.length; i++) {
+      var matchingFieldRef = matchingFieldRefs[i]
+      var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)
+      matchingFields[matchingFieldRef] = new lunr.MatchData
+    }
+  }
+
   for (var i = 0; i < matchingFieldRefs.length; i++) {
     /*
      * Currently we have document fields that match the query, but we


@@ 1895,8 2214,17 @@ lunr.Index.prototype.query = function (fn) {
      * above, and combined into a final document score using addition.
      */
     var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),
-        docRef = fieldRef.docRef,
-        fieldVector = this.fieldVectors[fieldRef],
+        docRef = fieldRef.docRef
+
+    if (!allRequiredMatches.contains(docRef)) {
+      continue
+    }
+
+    if (allProhibitedMatches.contains(docRef)) {
+      continue
+    }
+
+    var fieldVector = this.fieldVectors[fieldRef],
         score = queryVectors[fieldRef.fieldName].similarity(fieldVector),
         docMatch
 


@@ 2000,7 2328,7 @@ lunr.Index.load = function (serializedIndex) {
 }
 /*!
  * lunr.Builder
- * Copyright (C) 2017 Oliver Nightingale
+ * Copyright (C) 2018 Oliver Nightingale
  */
 
 /**


@@ 2029,7 2357,8 @@ lunr.Index.load = function (serializedIndex) {
  */
 lunr.Builder = function () {
   this._ref = "id"
-  this._fields = []
+  this._fields = Object.create(null)
+  this._documents = Object.create(null)
   this.invertedIndex = Object.create(null)
   this.fieldTermFrequencies = {}
   this.fieldLengths = {}


@@ 2060,6 2389,20 @@ lunr.Builder.prototype.ref = function (ref) {
 }
 
 /**
+ * A function that is used to extract a field from a document.
+ *
+ * Lunr expects a field to be at the top level of a document, if however the field
+ * is deeply nested within a document an extractor function can be used to extract
+ * the right field for indexing.
+ *
+ * @callback fieldExtractor
+ * @param {object} doc - The document being added to the index.
+ * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.
+ * @example <caption>Extracting a nested field</caption>
+ * function (doc) { return doc.nested.field }
+ */
+
+/**
  * Adds a field to the list of document fields that will be indexed. Every document being
  * indexed should have this field. Null values for this field in indexed documents will
  * not cause errors but will limit the chance of that document being retrieved by searches.


@@ 2067,10 2410,22 @@ lunr.Builder.prototype.ref = function (ref) {
  * 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.
+ * Fields can be boosted at build time. This allows terms within that field to have more
+ * importance when ranking search results. Use a field boost to specify that matches within
+ * one field are more important than other fields.
+ *
+ * @param {string} fieldName - The name of a field to index in all documents.
+ * @param {object} attributes - Optional attributes associated with this field.
+ * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.
+ * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.
+ * @throws {RangeError} fieldName cannot contain unsupported characters '/'
  */
-lunr.Builder.prototype.field = function (field) {
-  this._fields.push(field)
+lunr.Builder.prototype.field = function (fieldName, attributes) {
+  if (/\//.test(fieldName)) {
+    throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'")
+  }
+
+  this._fields[fieldName] = attributes || {}
 }
 
 /**


@@ 2112,17 2467,27 @@ lunr.Builder.prototype.k1 = function (number) {
  * it should have all fields defined for indexing, though null or undefined values will not
  * cause errors.
  *
+ * Entire documents can be boosted at build time. Applying a boost to a document indicates that
+ * this document should rank higher in search results than other documents.
+ *
  * @param {object} doc - The document to add to the index.
+ * @param {object} attributes - Optional attributes associated with this document.
+ * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.
  */
-lunr.Builder.prototype.add = function (doc) {
-  var docRef = doc[this._ref]
+lunr.Builder.prototype.add = function (doc, attributes) {
+  var docRef = doc[this._ref],
+      fields = Object.keys(this._fields)
 
+  this._documents[docRef] = attributes || {}
   this.documentCount += 1
 
-  for (var i = 0; i < this._fields.length; i++) {
-    var fieldName = this._fields[i],
-        field = doc[fieldName],
-        tokens = this.tokenizer(field),
+  for (var i = 0; i < fields.length; i++) {
+    var fieldName = fields[i],
+        extractor = this._fields[fieldName].extractor,
+        field = extractor ? extractor(doc) : doc[fieldName],
+        tokens = this.tokenizer(field, {
+          fields: [fieldName]
+        }),
         terms = this.pipeline.run(tokens),
         fieldRef = new lunr.FieldRef (docRef, fieldName),
         fieldTerms = Object.create(null)


@@ 2150,8 2515,8 @@ lunr.Builder.prototype.add = function (doc) {
         posting["_index"] = this.termIndex
         this.termIndex += 1
 
-        for (var k = 0; k < this._fields.length; k++) {
-          posting[this._fields[k]] = Object.create(null)
+        for (var k = 0; k < fields.length; k++) {
+          posting[fields[k]] = Object.create(null)
         }
 
         this.invertedIndex[term] = posting


@@ 2202,9 2567,11 @@ lunr.Builder.prototype.calculateAverageFieldLengths = function () {
     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]
+  var fields = Object.keys(this._fields)
+
+  for (var i = 0; i < fields.length; i++) {
+    var fieldName = fields[i]
+    accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]
   }
 
   this.averageFieldLength = accumulator


@@ 2223,13 2590,17 @@ lunr.Builder.prototype.createFieldVectors = function () {
 
   for (var i = 0; i < fieldRefsLength; i++) {
     var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),
-        field = fieldRef.fieldName,
+        fieldName = fieldRef.fieldName,
         fieldLength = this.fieldLengths[fieldRef],
         fieldVector = new lunr.Vector,
         termFrequencies = this.fieldTermFrequencies[fieldRef],
         terms = Object.keys(termFrequencies),
         termsLength = terms.length
 
+
+    var fieldBoost = this._fields[fieldName].boost || 1,
+        docBoost = this._documents[fieldRef.docRef].boost || 1
+
     for (var j = 0; j < termsLength; j++) {
       var term = terms[j],
           tf = termFrequencies[term],


@@ 2243,7 2614,9 @@ lunr.Builder.prototype.createFieldVectors = function () {
         idf = termIdfCache[term]
       }
 
-      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[field])) + tf)
+      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)
+      score *= fieldBoost
+      score *= docBoost
       scoreWithPrecision = Math.round(score * 1000) / 1000
       // Converts 1.23456789 to 1.234.
       // Reducing the precision so that the vectors take up less


@@ 2289,7 2662,7 @@ lunr.Builder.prototype.build = function () {
     invertedIndex: this.invertedIndex,
     fieldVectors: this.fieldVectors,
     tokenSet: this.tokenSet,
-    fields: this._fields,
+    fields: Object.keys(this._fields),
     pipeline: this.searchPipeline
   })
 }


@@ 2327,7 2700,7 @@ lunr.Builder.prototype.use = function (fn) {
  */
 lunr.MatchData = function (term, field, metadata) {
   var clonedMetadata = Object.create(null),
-      metadataKeys = Object.keys(metadata)
+      metadataKeys = Object.keys(metadata || {})
 
   // Cloning the metadata to prevent the original
   // being mutated during match data combination.


@@ 2340,8 2713,11 @@ lunr.MatchData = function (term, field, metadata) {
   }
 
   this.metadata = Object.create(null)
-  this.metadata[term] = Object.create(null)
-  this.metadata[term][field] = clonedMetadata
+
+  if (term !== undefined) {
+    this.metadata[term] = Object.create(null)
+    this.metadata[term][field] = clonedMetadata
+  }
 }
 
 /**


@@ 2456,12 2832,43 @@ lunr.Query = function (allFields) {
  *   wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING
  * })
  */
+
 lunr.Query.wildcard = new String ("*")
 lunr.Query.wildcard.NONE = 0
 lunr.Query.wildcard.LEADING = 1
 lunr.Query.wildcard.TRAILING = 2
 
 /**
+ * Constants for indicating what kind of presence a term must have in matching documents.
+ *
+ * @constant
+ * @enum {number}
+ * @see lunr.Query~Clause
+ * @see lunr.Query#clause
+ * @see lunr.Query#term
+ * @example <caption>query term with required presence</caption>
+ * query.term('foo', { presence: lunr.Query.presence.REQUIRED })
+ */
+lunr.Query.presence = {
+  /**
+   * Term's presence in a document is optional, this is the default value.
+   */
+  OPTIONAL: 1,
+
+  /**
+   * Term's presence in a document is required, documents that do not contain
+   * this term will not be returned.
+   */
+  REQUIRED: 2,
+
+  /**
+   * Term's presence in a document is prohibited, documents that do contain
+   * this term will not be returned.
+   */
+  PROHIBITED: 3
+}
+
+/**
  * A single clause in a {@link lunr.Query} contains a term and details on how to
  * match that term against a {@link lunr.Index}.
  *


@@ 2470,7 2877,8 @@ lunr.Query.wildcard.TRAILING = 2
  * @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.
+ * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.
+ * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.
  */
 
 /**


@@ 2508,17 2916,44 @@ lunr.Query.prototype.clause = function (clause) {
     clause.term = "" + clause.term + "*"
   }
 
+  if (!('presence' in clause)) {
+    clause.presence = lunr.Query.presence.OPTIONAL
+  }
+
   this.clauses.push(clause)
 
   return this
 }
 
 /**
+ * A negated query is one in which every clause has a presence of
+ * prohibited. These queries require some special processing to return
+ * the expected results.
+ *
+ * @returns boolean
+ */
+lunr.Query.prototype.isNegated = function () {
+  for (var i = 0; i < this.clauses.length; i++) {
+    if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {
+      return false
+    }
+  }
+
+  return true
+}
+
+/**
  * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}
  * to the list of clauses that make up this query.
  *
- * @param {string} term - The term to add to the query.
- * @param {Object} [options] - Any additional properties to add to the query clause.
+ * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion
+ * to a token or token-like string should be done before calling this method.
+ *
+ * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an
+ * array, each term in the array will share the same options.
+ *
+ * @param {object|object[]} term - The term(s) to add to the query.
+ * @param {object} [options] - Any additional properties to add to the query clause.
  * @returns {lunr.Query}
  * @see lunr.Query#clause
  * @see lunr.Query~Clause


@@ 2530,10 2965,17 @@ lunr.Query.prototype.clause = function (clause) {
  *   boost: 10,
  *   wildcard: lunr.Query.wildcard.TRAILING
  * })
+ * @example <caption>using lunr.tokenizer to convert a string to tokens before using them as terms</caption>
+ * query.term(lunr.tokenizer("foo bar"))
  */
 lunr.Query.prototype.term = function (term, options) {
+  if (Array.isArray(term)) {
+    term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)
+    return this
+  }
+
   var clause = options || {}
-  clause.term = term
+  clause.term = term.toString()
 
   this.clause(clause)
 


@@ 2645,6 3087,7 @@ lunr.QueryLexer.FIELD = 'FIELD'
 lunr.QueryLexer.TERM = 'TERM'
 lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'
 lunr.QueryLexer.BOOST = 'BOOST'
+lunr.QueryLexer.PRESENCE = 'PRESENCE'
 
 lunr.QueryLexer.lexField = function (lexer) {
   lexer.backup()


@@ 2733,6 3176,22 @@ lunr.QueryLexer.lexText = function (lexer) {
       return lunr.QueryLexer.lexBoost
     }
 
+    // "+" indicates term presence is required
+    // checking for length to ensure that only
+    // leading "+" are considered
+    if (char == "+" && lexer.width() === 1) {
+      lexer.emit(lunr.QueryLexer.PRESENCE)
+      return lunr.QueryLexer.lexText
+    }
+
+    // "-" indicates term presence is prohibited
+    // checking for length to ensure that only
+    // leading "-" are considered
+    if (char == "-" && lexer.width() === 1) {
+      lexer.emit(lunr.QueryLexer.PRESENCE)
+      return lunr.QueryLexer.lexText
+    }
+
     if (char.match(lunr.QueryLexer.termSeparator)) {
       return lunr.QueryLexer.lexTerm
     }


@@ 2750,7 3209,7 @@ lunr.QueryParser.prototype.parse = function () {
   this.lexer.run()
   this.lexemes = this.lexer.lexemes
 
-  var state = lunr.QueryParser.parseFieldOrTerm
+  var state = lunr.QueryParser.parseClause
 
   while (state) {
     state = state(this)


@@ 2775,7 3234,7 @@ lunr.QueryParser.prototype.nextClause = function () {
   this.currentClause = {}
 }
 
-lunr.QueryParser.parseFieldOrTerm = function (parser) {
+lunr.QueryParser.parseClause = function (parser) {
   var lexeme = parser.peekLexeme()
 
   if (lexeme == undefined) {


@@ 2783,6 3242,8 @@ lunr.QueryParser.parseFieldOrTerm = function (parser) {
   }
 
   switch (lexeme.type) {
+    case lunr.QueryLexer.PRESENCE:
+      return lunr.QueryParser.parsePresence
     case lunr.QueryLexer.FIELD:
       return lunr.QueryParser.parseField
     case lunr.QueryLexer.TERM:


@@ 2798,6 3259,43 @@ lunr.QueryParser.parseFieldOrTerm = function (parser) {
   }
 }
 
+lunr.QueryParser.parsePresence = function (parser) {
+  var lexeme = parser.consumeLexeme()
+
+  if (lexeme == undefined) {
+    return
+  }
+
+  switch (lexeme.str) {
+    case "-":
+      parser.currentClause.presence = lunr.Query.presence.PROHIBITED
+      break
+    case "+":
+      parser.currentClause.presence = lunr.Query.presence.REQUIRED
+      break
+    default:
+      var errorMessage = "unrecognised presence operator'" + lexeme.str + "'"
+      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+
+  var nextLexeme = parser.peekLexeme()
+
+  if (nextLexeme == undefined) {
+    var errorMessage = "expecting term or field, found nothing"
+    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
+  }
+
+  switch (nextLexeme.type) {
+    case lunr.QueryLexer.FIELD:
+      return lunr.QueryParser.parseField
+    case lunr.QueryLexer.TERM:
+      return lunr.QueryParser.parseTerm
+    default:
+      var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'"
+      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
+  }
+}
+
 lunr.QueryParser.parseField = function (parser) {
   var lexeme = parser.consumeLexeme()
 


@@ 2861,6 3359,9 @@ lunr.QueryParser.parseTerm = function (parser) {
       return lunr.QueryParser.parseEditDistance
     case lunr.QueryLexer.BOOST:
       return lunr.QueryParser.parseBoost
+    case lunr.QueryLexer.PRESENCE:
+      parser.nextClause()
+      return lunr.QueryParser.parsePresence
     default:
       var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
       throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)


@@ 2901,6 3402,9 @@ lunr.QueryParser.parseEditDistance = function (parser) {
       return lunr.QueryParser.parseEditDistance
     case lunr.QueryLexer.BOOST:
       return lunr.QueryParser.parseBoost
+    case lunr.QueryLexer.PRESENCE:
+      parser.nextClause()
+      return lunr.QueryParser.parsePresence
     default:
       var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
       throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)


@@ 2941,6 3445,9 @@ lunr.QueryParser.parseBoost = function (parser) {
       return lunr.QueryParser.parseEditDistance
     case lunr.QueryLexer.BOOST:
       return lunr.QueryParser.parseBoost
+    case lunr.QueryLexer.PRESENCE:
+      parser.nextClause()
+      return lunr.QueryParser.parsePresence
     default:
       var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
       throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)


@@ 2974,4 3481,4 @@ lunr.QueryParser.parseBoost = function (parser) {
      */
     return lunr
   }))
-})();
+})();<
\ No newline at end of file

@@ 1,6 1,6 @@
 /**
- * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.1.5
- * Copyright (C) 2017 Oliver Nightingale
+ * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.3
+ * Copyright (C) 2018 Oliver Nightingale
  * @license MIT
  */
-!function(){var e=function(t){var r=new e.Builder;return r.pipeline.add(e.trimmer,e.stopWordFilter,e.stemmer),r.searchPipeline.add(e.stemmer),t.call(r,r),r.build()};e.version="2.1.5",e.utils={},e.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),e.utils.asString=function(e){return void 0===e||null===e?"":e.toString()},e.FieldRef=function(e,t,r){this.docRef=e,this.fieldName=t,this._stringValue=r},e.FieldRef.joiner="/",e.FieldRef.fromString=function(t){var r=t.indexOf(e.FieldRef.joiner);if(-1===r)throw"malformed field ref string";var i=t.slice(0,r),n=t.slice(r+1);return new e.FieldRef(n,i,t)},e.FieldRef.prototype.toString=function(){return void 0==this._stringValue&&(this._stringValue=this.fieldName+e.FieldRef.joiner+this.docRef),this._stringValue},e.idf=function(e,t){var r=0;for(var i in e)"_index"!=i&&(r+=Object.keys(e[i]).length);var n=(t-r+.5)/(r+.5);return Math.log(1+Math.abs(n))},e.Token=function(e,t){this.str=e||"",this.metadata=t||{}},e.Token.prototype.toString=function(){return this.str},e.Token.prototype.update=function(e){return this.str=e(this.str,this.metadata),this},e.Token.prototype.clone=function(t){return t=t||function(e){return e},new e.Token(t(this.str,this.metadata),this.metadata)},e.tokenizer=function(t){if(null==t||void 0==t)return[];if(Array.isArray(t))return t.map(function(t){return new e.Token(e.utils.asString(t).toLowerCase())});for(var r=t.toString().trim().toLowerCase(),i=r.length,n=[],s=0,o=0;i>=s;s++){var a=r.charAt(s),u=s-o;(a.match(e.tokenizer.separator)||s==i)&&(u>0&&n.push(new e.Token(r.slice(o,s),{position:[o,u],index:n.length})),o=s+1)}return n},e.tokenizer.separator=/[\s\-]+/,e.Pipeline=function(){this._stack=[]},e.Pipeline.registeredFunctions=Object.create(null),e.Pipeline.registerFunction=function(t,r){r in this.registeredFunctions&&e.utils.warn("Overwriting existing registered function: "+r),t.label=r,e.Pipeline.registeredFunctions[t.label]=t},e.Pipeline.warnIfFunctionNotRegistered=function(t){var r=t.label&&t.label in this.registeredFunctions;r||e.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",t)},e.Pipeline.load=function(t){var r=new e.Pipeline;return t.forEach(function(t){var i=e.Pipeline.registeredFunctions[t];if(!i)throw new Error("Cannot load unregistered function: "+t);r.add(i)}),r},e.Pipeline.prototype.add=function(){var t=Array.prototype.slice.call(arguments);t.forEach(function(t){e.Pipeline.warnIfFunctionNotRegistered(t),this._stack.push(t)},this)},e.Pipeline.prototype.after=function(t,r){e.Pipeline.warnIfFunctionNotRegistered(r);var i=this._stack.indexOf(t);if(-1==i)throw new Error("Cannot find existingFn");i+=1,this._stack.splice(i,0,r)},e.Pipeline.prototype.before=function(t,r){e.Pipeline.warnIfFunctionNotRegistered(r);var i=this._stack.indexOf(t);if(-1==i)throw new Error("Cannot find existingFn");this._stack.splice(i,0,r)},e.Pipeline.prototype.remove=function(e){var t=this._stack.indexOf(e);-1!=t&&this._stack.splice(t,1)},e.Pipeline.prototype.run=function(e){for(var t=this._stack.length,r=0;t>r;r++){var i=this._stack[r];e=e.reduce(function(t,r,n){var s=i(r,n,e);return void 0===s||""===s?t:t.concat(s)},[])}return e},e.Pipeline.prototype.runString=function(t){var r=new e.Token(t);return this.run([r]).map(function(e){return e.toString()})},e.Pipeline.prototype.reset=function(){this._stack=[]},e.Pipeline.prototype.toJSON=function(){return this._stack.map(function(t){return e.Pipeline.warnIfFunctionNotRegistered(t),t.label})},e.Vector=function(e){this._magnitude=0,this.elements=e||[]},e.Vector.prototype.positionForIndex=function(e){if(0==this.elements.length)return 0;for(var t=0,r=this.elements.length/2,i=r-t,n=Math.floor(i/2),s=this.elements[2*n];i>1&&(e>s&&(t=n),s>e&&(r=n),s!=e);)i=r-t,n=t+Math.floor(i/2),s=this.elements[2*n];return s==e?2*n:s>e?2*n:e>s?2*(n+1):void 0},e.Vector.prototype.insert=function(e,t){this.upsert(e,t,function(){throw"duplicate index"})},e.Vector.prototype.upsert=function(e,t,r){this._magnitude=0;var i=this.positionForIndex(e);this.elements[i]==e?this.elements[i+1]=r(this.elements[i+1],t):this.elements.splice(i,0,e,t)},e.Vector.prototype.magnitude=function(){if(this._magnitude)return this._magnitude;for(var e=0,t=this.elements.length,r=1;t>r;r+=2){var i=this.elements[r];e+=i*i}return this._magnitude=Math.sqrt(e)},e.Vector.prototype.dot=function(e){for(var t=0,r=this.elements,i=e.elements,n=r.length,s=i.length,o=0,a=0,u=0,l=0;n>u&&s>l;)o=r[u],a=i[l],a>o?u+=2:o>a?l+=2:o==a&&(t+=r[u+1]*i[l+1],u+=2,l+=2);return t},e.Vector.prototype.similarity=function(e){return this.dot(e)/(this.magnitude()*e.magnitude())},e.Vector.prototype.toArray=function(){for(var e=new Array(this.elements.length/2),t=1,r=0;t<this.elements.length;t+=2,r++)e[r]=this.elements[t];return e},e.Vector.prototype.toJSON=function(){return this.elements},e.stemmer=function(){var e={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"},t={icate:"ic",ative:"",alize:"al",iciti:"ic",ical:"ic",ful:"",ness:""},r="[^aeiou]",i="[aeiouy]",n=r+"[^aeiouy]*",s=i+"[aeiou]*",o="^("+n+")?"+s+n,a="^("+n+")?"+s+n+"("+s+")?$",u="^("+n+")?"+s+n+s+n,l="^("+n+")?"+i,d=new RegExp(o),h=new RegExp(u),c=new RegExp(a),f=new RegExp(l),p=/^(.+?)(ss|i)es$/,y=/^(.+?)([^s])s$/,m=/^(.+?)eed$/,v=/^(.+?)(ed|ing)$/,g=/.$/,x=/(at|bl|iz)$/,w=new RegExp("([^aeiouylsz])\\1$"),k=new RegExp("^"+n+i+"[^aeiouwxy]$"),Q=/^(.+?[^aeiou])y$/,L=/^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/,T=/^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/,S=/^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/,b=/^(.+?)(s|t)(ion)$/,P=/^(.+?)e$/,E=/ll$/,I=new RegExp("^"+n+i+"[^aeiouwxy]$"),O=function(r){var i,n,s,o,a,u,l;if(r.length<3)return r;if(s=r.substr(0,1),"y"==s&&(r=s.toUpperCase()+r.substr(1)),o=p,a=y,o.test(r)?r=r.replace(o,"$1$2"):a.test(r)&&(r=r.replace(a,"$1$2")),o=m,a=v,o.test(r)){var O=o.exec(r);o=d,o.test(O[1])&&(o=g,r=r.replace(o,""))}else if(a.test(r)){var O=a.exec(r);i=O[1],a=f,a.test(i)&&(r=i,a=x,u=w,l=k,a.test(r)?r+="e":u.test(r)?(o=g,r=r.replace(o,"")):l.test(r)&&(r+="e"))}if(o=Q,o.test(r)){var O=o.exec(r);i=O[1],r=i+"i"}if(o=L,o.test(r)){var O=o.exec(r);i=O[1],n=O[2],o=d,o.test(i)&&(r=i+e[n])}if(o=T,o.test(r)){var O=o.exec(r);i=O[1],n=O[2],o=d,o.test(i)&&(r=i+t[n])}if(o=S,a=b,o.test(r)){var O=o.exec(r);i=O[1],o=h,o.test(i)&&(r=i)}else if(a.test(r)){var O=a.exec(r);i=O[1]+O[2],a=h,a.test(i)&&(r=i)}if(o=P,o.test(r)){var O=o.exec(r);i=O[1],o=h,a=c,u=I,(o.test(i)||a.test(i)&&!u.test(i))&&(r=i)}return o=E,a=h,o.test(r)&&a.test(r)&&(o=g,r=r.replace(o,"")),"y"==s&&(r=s.toLowerCase()+r.substr(1)),r};return function(e){return e.update(O)}}(),e.Pipeline.registerFunction(e.stemmer,"stemmer"),e.generateStopWordFilter=function(e){var t=e.reduce(function(e,t){return e[t]=t,e},{});return function(e){return e&&t[e.toString()]!==e.toString()?e:void 0}},e.stopWordFilter=e.generateStopWordFilter(["a","able","about","across","after","all","almost","also","am","among","an","and","any","are","as","at","be","because","been","but","by","can","cannot","could","dear","did","do","does","either","else","ever","every","for","from","get","got","had","has","have","he","her","hers","him","his","how","however","i","if","in","into","is","it","its","just","least","let","like","likely","may","me","might","most","must","my","neither","no","nor","not","of","off","often","on","only","or","other","our","own","rather","said","say","says","she","should","since","so","some","than","that","the","their","them","then","there","these","they","this","tis","to","too","twas","us","wants","was","we","were","what","when","where","which","while","who","whom","why","will","with","would","yet","you","your"]),e.Pipeline.registerFunction(e.stopWordFilter,"stopWordFilter"),e.trimmer=function(e){return e.update(function(e){return e.replace(/^\W+/,"").replace(/\W+$/,"")})},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 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r.output.edges?(y=r.output.edges[d]).final=y.final||p:((y=new T.TokenSet).final=p,r.output.edges[d]=y),i.push({qNode:f,output:y,node:h})}}}return t},T.TokenSet.Builder=function(){this.previousWord="",this.root=new T.TokenSet,this.uncheckedNodes=[],this.minimizedNodes={}},T.TokenSet.Builder.prototype.insert=function(e){var t,r=0;if(e<this.previousWord)throw new Error("Out of order word insertion");for(var i=0;i<e.length&&i<this.previousWord.length&&e[i]==this.previousWord[i];i++)r++;this.minimize(r),t=0==this.uncheckedNodes.length?this.root:this.uncheckedNodes[this.uncheckedNodes.length-1].child;for(i=r;i<e.length;i++){var n=new T.TokenSet,s=e[i];t.edges[s]=n,this.uncheckedNodes.push({parent:t,char:s,child:n}),t=n}t.final=!0,this.previousWord=e},T.TokenSet.Builder.prototype.finish=function(){this.minimize(0)},T.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()}},T.Index=function(e){this.invertedIndex=e.invertedIndex,this.fieldVectors=e.fieldVectors,this.tokenSet=e.tokenSet,this.fields=e.fields,this.pipeline=e.pipeline},T.Index.prototype.search=function(e){return this.query(function(t){new T.QueryParser(e,t).parse()})},T.Index.prototype.query=function(e){for(var t=new T.Query(this.fields),r=Object.create(null),i=Object.create(null),n=Object.create(null),s=Object.create(null),o=Object.create(null),a=0;a<this.fields.length;a++)i[this.fields[a]]=new T.Vector;e.call(t,t);for(a=0;a<t.clauses.length;a++){var u=t.clauses[a],l=null,c=T.Set.complete;l=u.usePipeline?this.pipeline.runString(u.term,{fields:u.fields}):[u.term];for(var d=0;d<l.length;d++){var h=l[d];u.term=h;var f=T.TokenSet.fromClause(u),p=this.tokenSet.intersect(f).toArray();if(0===p.length&&u.presence===T.Query.presence.REQUIRED){for(var y=0;y<u.fields.length;y++){s[F=u.fields[y]]=T.Set.empty}break}for(var m=0;m<p.length;m++){var g=p[m],x=this.invertedIndex[g],v=x._index;for(y=0;y<u.fields.length;y++){var w=x[F=u.fields[y]],Q=Object.keys(w),k=g+"/"+F,S=new T.Set(Q);if(u.presence==T.Query.presence.REQUIRED&&(c=c.union(S),void 0===s[F]&&(s[F]=T.Set.complete)),u.presence!=T.Query.presence.PROHIBITED){if(i[F].upsert(v,u.boost,function(e,t){return e+t}),!n[k]){for(var E=0;E<Q.length;E++){var L,b=Q[E],P=new T.FieldRef(b,F),O=w[b];void 0===(L=r[P])?r[P]=new T.MatchData(g,F,O):L.add(g,F,O)}n[k]=!0}}else void 0===o[F]&&(o[F]=T.Set.empty),o[F]=o[F].union(S)}}}if(u.presence===T.Query.presence.REQUIRED)for(y=0;y<u.fields.length;y++){s[F=u.fields[y]]=s[F].intersect(c)}}var I=T.Set.complete,R=T.Set.empty;for(a=0;a<this.fields.length;a++){var F;s[F=this.fields[a]]&&(I=I.intersect(s[F])),o[F]&&(R=R.union(o[F]))}var C=Object.keys(r),N=[],_=Object.create(null);if(t.isNegated()){C=Object.keys(this.fieldVectors);for(a=0;a<C.length;a++){P=C[a];var j=T.FieldRef.fromString(P);r[P]=new T.MatchData}}for(a=0;a<C.length;a++){var D=(j=T.FieldRef.fromString(C[a])).docRef;if(I.contains(D)&&!R.contains(D)){var A,B=this.fieldVectors[j],V=i[j.fieldName].similarity(B);if(void 0!==(A=_[D]))A.score+=V,A.matchData.combine(r[j]);else{var z={ref:D,score:V,matchData:r[j]};_[D]=z,N.push(z)}}}return N.sort(function(e,t){return t.score-e.score})},T.Index.prototype.toJSON=function(){var e=Object.keys(this.invertedIndex).sort().map(function(e){return[e,this.invertedIndex[e]]},this),t=Object.keys(this.fieldVectors).map(function(e){return[e,this.fieldVectors[e].toJSON()]},this);return{version:T.version,fields:this.fields,fieldVectors:t,invertedIndex:e,pipeline:this.pipeline.toJSON()}},T.Index.load=function(e){var t={},r={},i=e.fieldVectors,n={},s=e.invertedIndex,o=new T.TokenSet.Builder,a=T.Pipeline.load(e.pipeline);e.version!=T.version&&T.utils.warn("Version mismatch when loading serialised index. Current version of lunr '"+T.version+"' does not match serialized index '"+e.version+"'");for(var u=0;u<i.length;u++){var l=(d=i[u])[0],c=d[1];r[l]=new T.Vector(c)}for(u=0;u<s.length;u++){var d,h=(d=s[u])[0],f=d[1];o.insert(h),n[h]=f}return o.finish(),t.fields=e.fields,t.fieldVectors=r,t.invertedIndex=n,t.tokenSet=o.root,t.pipeline=a,new T.Index(t)},T.Builder=function(){this._ref="id",this._fields=Object.create(null),this._documents=Object.create(null),this.invertedIndex=Object.create(null),this.fieldTermFrequencies={},this.fieldLengths={},this.tokenizer=T.tokenizer,this.pipeline=new T.Pipeline,this.searchPipeline=new T.Pipeline,this.documentCount=0,this._b=.75,this._k1=1.2,this.termIndex=0,this.metadataWhitelist=[]},T.Builder.prototype.ref=function(e){this._ref=e},T.Builder.prototype.field=function(e,t){if(/\//.test(e))throw new RangeError("Field '"+e+"' contains illegal character '/'");this._fields[e]=t||{}},T.Builder.prototype.b=function(e){this._b=e<0?0:e>1?1:e},T.Builder.prototype.k1=function(e){this._k1=e},T.Builder.prototype.add=function(e,t){var r=e[this._ref],i=Object.keys(this._fields);this._documents[r]=t||{},this.documentCount+=1;for(var n=0;n<i.length;n++){var s=i[n],o=this._fields[s].extractor,a=o?o(e):e[s],u=this.tokenizer(a,{fields:[s]}),l=this.pipeline.run(u),c=new T.FieldRef(r,s),d=Object.create(null);this.fieldTermFrequencies[c]=d,this.fieldLengths[c]=0,this.fieldLengths[c]+=l.length;for(var h=0;h<l.length;h++){var f=l[h];if(void 0==d[f]&&(d[f]=0),d[f]+=1,void 0==this.invertedIndex[f]){var p=Object.create(null);p._index=this.termIndex,this.termIndex+=1;for(var y=0;y<i.length;y++)p[i[y]]=Object.create(null);this.invertedIndex[f]=p}void 0==this.invertedIndex[f][s][r]&&(this.invertedIndex[f][s][r]=Object.create(null));for(var m=0;m<this.metadataWhitelist.length;m++){var g=this.metadataWhitelist[m],x=f.metadata[g];void 0==this.invertedIndex[f][s][r][g]&&(this.invertedIndex[f][s][r][g]=[]),this.invertedIndex[f][s][r][g].push(x)}}}},T.Builder.prototype.calculateAverageFieldLengths=function(){for(var e=Object.keys(this.fieldLengths),t=e.length,r={},i={},n=0;n<t;n++){var s=T.FieldRef.fromString(e[n]),o=s.fieldName;i[o]||(i[o]=0),i[o]+=1,r[o]||(r[o]=0),r[o]+=this.fieldLengths[s]}var a=Object.keys(this._fields);for(n=0;n<a.length;n++){var u=a[n];r[u]=r[u]/i[u]}this.averageFieldLength=r},T.Builder.prototype.createFieldVectors=function(){for(var e={},t=Object.keys(this.fieldTermFrequencies),r=t.length,i=Object.create(null),n=0;n<r;n++){for(var s=T.FieldRef.fromString(t[n]),o=s.fieldName,a=this.fieldLengths[s],u=new T.Vector,l=this.fieldTermFrequencies[s],c=Object.keys(l),d=c.length,h=this._fields[o].boost||1,f=this._documents[s.docRef].boost||1,p=0;p<d;p++){var y,m,g,x=c[p],v=l[x],w=this.invertedIndex[x]._index;void 0===i[x]?(y=T.idf(this.invertedIndex[x],this.documentCount),i[x]=y):y=i[x],m=y*((this._k1+1)*v)/(this._k1*(1-this._b+this._b*(a/this.averageFieldLength[o]))+v),m*=h,m*=f,g=Math.round(1e3*m)/1e3,u.insert(w,g)}e[s]=u}this.fieldVectors=e},T.Builder.prototype.createTokenSet=function(){this.tokenSet=T.TokenSet.fromArray(Object.keys(this.invertedIndex).sort())},T.Builder.prototype.build=function(){return this.calculateAverageFieldLengths(),this.createFieldVectors(),this.createTokenSet(),new T.Index({invertedIndex:this.invertedIndex,fieldVectors:this.fieldVectors,tokenSet:this.tokenSet,fields:Object.keys(this._fields),pipeline:this.searchPipeline})},T.Builder.prototype.use=function(e){var t=Array.prototype.slice.call(arguments,1);t.unshift(this),e.apply(this,t)},T.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),void 0!==e&&(this.metadata[e]=Object.create(null),this.metadata[e][t]=i)},T.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])}}}},T.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])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]}else this.metadata[e][t]=r},T.Query=function(e){this.clauses=[],this.allFields=e},T.Query.wildcard=new String("*"),T.Query.wildcard.NONE=0,T.Query.wildcard.LEADING=1,T.Query.wildcard.TRAILING=2,T.Query.presence={OPTIONAL:1,REQUIRED:2,PROHIBITED:3},T.Query.prototype.clause=function(e){return"fields"in e||(e.fields=this.allFields),"boost"in e||(e.boost=1),"usePipeline"in e||(e.usePipeline=!0),"wildcard"in e||(e.wildcard=T.Query.wildcard.NONE),e.wildcard&T.Query.wildcard.LEADING&&e.term.charAt(0)!=T.Query.wildcard&&(e.term="*"+e.term),e.wildcard&T.Query.wildcard.TRAILING&&e.term.slice(-1)!=T.Query.wildcard&&(e.term=e.term+"*"),"presence"in e||(e.presence=T.Query.presence.OPTIONAL),this.clauses.push(e),this},T.Query.prototype.isNegated=function(){for(var e=0;e<this.clauses.length;e++)if(this.clauses[e].presence!=T.Query.presence.PROHIBITED)return!1;return!0},T.Query.prototype.term=function(e,t){if(Array.isArray(e))return e.forEach(function(e){this.term(e,T.utils.clone(t))},this),this;var r=t||{};return r.term=e.toString(),this.clause(r),this},T.QueryParseError=function(e,t,r){this.name="QueryParseError",this.message=e,this.start=t,this.end=r},T.QueryParseError.prototype=new Error,T.QueryLexer=function(e){this.lexemes=[],this.str=e,this.length=e.length,this.pos=0,this.start=0,this.escapeCharPositions=[]},T.QueryLexer.prototype.run=function(){for(var e=T.QueryLexer.lexText;e;)e=e(this)},T.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("")},T.QueryLexer.prototype.emit=function(e){this.lexemes.push({type:e,str:this.sliceString(),start:this.start,end:this.pos}),this.start=this.pos},T.QueryLexer.prototype.escapeCharacter=function(){this.escapeCharPositions.push(this.pos-1),this.pos+=1},T.QueryLexer.prototype.next=function(){if(this.pos>=this.length)return T.QueryLexer.EOS;var e=this.str.charAt(this.pos);return this.pos+=1,e},T.QueryLexer.prototype.width=function(){return this.pos-this.start},T.QueryLexer.prototype.ignore=function(){this.start==this.pos&&(this.pos+=1),this.start=this.pos},T.QueryLexer.prototype.backup=function(){this.pos-=1},T.QueryLexer.prototype.acceptDigitRun=function(){var e,t;do{t=(e=this.next()).charCodeAt(0)}while(t>47&&t<58);e!=T.QueryLexer.EOS&&this.backup()},T.QueryLexer.prototype.more=function(){return this.pos<this.length},T.QueryLexer.EOS="EOS",T.QueryLexer.FIELD="FIELD",T.QueryLexer.TERM="TERM",T.QueryLexer.EDIT_DISTANCE="EDIT_DISTANCE",T.QueryLexer.BOOST="BOOST",T.QueryLexer.PRESENCE="PRESENCE",T.QueryLexer.lexField=function(e){return e.backup(),e.emit(T.QueryLexer.FIELD),e.ignore(),T.QueryLexer.lexText},T.QueryLexer.lexTerm=function(e){if(e.width()>1&&(e.backup(),e.emit(T.QueryLexer.TERM)),e.ignore(),e.more())return T.QueryLexer.lexText},T.QueryLexer.lexEditDistance=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(T.QueryLexer.EDIT_DISTANCE),T.QueryLexer.lexText},T.QueryLexer.lexBoost=function(e){return e.ignore(),e.acceptDigitRun(),e.emit(T.QueryLexer.BOOST),T.QueryLexer.lexText},T.QueryLexer.lexEOS=function(e){e.width()>0&&e.emit(T.QueryLexer.TERM)},T.QueryLexer.termSeparator=T.tokenizer.separator,T.QueryLexer.lexText=function(e){for(;;){var t=e.next();if(t==T.QueryLexer.EOS)return T.QueryLexer.lexEOS;if(92!=t.charCodeAt(0)){if(":"==t)return T.QueryLexer.lexField;if("~"==t)return e.backup(),e.width()>0&&e.emit(T.QueryLexer.TERM),T.QueryLexer.lexEditDistance;if("^"==t)return e.backup(),e.width()>0&&e.emit(T.QueryLexer.TERM),T.QueryLexer.lexBoost;if("+"==t&&1===e.width())return e.emit(T.QueryLexer.PRESENCE),T.QueryLexer.lexText;if("-"==t&&1===e.width())return e.emit(T.QueryLexer.PRESENCE),T.QueryLexer.lexText;if(t.match(T.QueryLexer.termSeparator))return T.QueryLexer.lexTerm}else e.escapeCharacter()}},T.QueryParser=function(e,t){this.lexer=new T.QueryLexer(e),this.query=t,this.currentClause={},this.lexemeIdx=0},T.QueryParser.prototype.parse=function(){this.lexer.run(),this.lexemes=this.lexer.lexemes;for(var e=T.QueryParser.parseClause;e;)e=e(this);return this.query},T.QueryParser.prototype.peekLexeme=function(){return this.lexemes[this.lexemeIdx]},T.QueryParser.prototype.consumeLexeme=function(){var e=this.peekLexeme();return this.lexemeIdx+=1,e},T.QueryParser.prototype.nextClause=function(){var e=this.currentClause;this.query.clause(e),this.currentClause={}},T.QueryParser.parseClause=function(e){var t=e.peekLexeme();if(void 0!=t)switch(t.type){case T.QueryLexer.PRESENCE:return T.QueryParser.parsePresence;case T.QueryLexer.FIELD:return T.QueryParser.parseField;case T.QueryLexer.TERM:return T.QueryParser.parseTerm;default:var r="expected either a field or a term, found "+t.type;throw t.str.length>=1&&(r+=" with value '"+t.str+"'"),new T.QueryParseError(r,t.start,t.end)}},T.QueryParser.parsePresence=function(e){var t=e.consumeLexeme();if(void 0!=t){switch(t.str){case"-":e.currentClause.presence=T.Query.presence.PROHIBITED;break;case"+":e.currentClause.presence=T.Query.presence.REQUIRED;break;default:var r="unrecognised presence operator'"+t.str+"'";throw new T.QueryParseError(r,t.start,t.end)}var i=e.peekLexeme();if(void 0==i){r="expecting term or field, found nothing";throw new T.QueryParseError(r,t.start,t.end)}switch(i.type){case T.QueryLexer.FIELD:return T.QueryParser.parseField;case T.QueryLexer.TERM:return T.QueryParser.parseTerm;default:r="expecting term or field, found '"+i.type+"'";throw new T.QueryParseError(r,i.start,i.end)}}},T.QueryParser.parseField=function(e){var t=e.consumeLexeme();if(void 0!=t){if(-1==e.query.allFields.indexOf(t.str)){var r=e.query.allFields.map(function(e){return"'"+e+"'"}).join(", "),i="unrecognised field '"+t.str+"', possible fields: "+r;throw new T.QueryParseError(i,t.start,t.end)}e.currentClause.fields=[t.str];var n=e.peekLexeme();if(void 0==n){i="expecting term, found nothing";throw new T.QueryParseError(i,t.start,t.end)}switch(n.type){case T.QueryLexer.TERM:return T.QueryParser.parseTerm;default:i="expecting term, found '"+n.type+"'";throw new T.QueryParseError(i,n.start,n.end)}}},T.QueryParser.parseTerm=function(e){var t=e.consumeLexeme();if(void 0!=t){e.currentClause.term=t.str.toLowerCase(),-1!=t.str.indexOf("*")&&(e.currentClause.usePipeline=!1);var r=e.peekLexeme();if(void 0!=r)switch(r.type){case T.QueryLexer.TERM:return e.nextClause(),T.QueryParser.parseTerm;case T.QueryLexer.FIELD:return e.nextClause(),T.QueryParser.parseField;case T.QueryLexer.EDIT_DISTANCE:return T.QueryParser.parseEditDistance;case T.QueryLexer.BOOST:return T.QueryParser.parseBoost;case T.QueryLexer.PRESENCE:return e.nextClause(),T.QueryParser.parsePresence;default:var i="Unexpected lexeme type '"+r.type+"'";throw new T.QueryParseError(i,r.start,r.end)}else e.nextClause()}},T.QueryParser.parseEditDistance=function(e){var t=e.consumeLexeme();if(void 0!=t){var r=parseInt(t.str,10);if(isNaN(r)){var i="edit distance must be numeric";throw new T.QueryParseError(i,t.start,t.end)}e.currentClause.editDistance=r;var n=e.peekLexeme();if(void 0!=n)switch(n.type){case T.QueryLexer.TERM:return e.nextClause(),T.QueryParser.parseTerm;case T.QueryLexer.FIELD:return e.nextClause(),T.QueryParser.parseField;case T.QueryLexer.EDIT_DISTANCE:return T.QueryParser.parseEditDistance;case T.QueryLexer.BOOST:return T.QueryParser.parseBoost;case T.QueryLexer.PRESENCE:return e.nextClause(),T.QueryParser.parsePresence;default:i="Unexpected lexeme type '"+n.type+"'";throw new T.QueryParseError(i,n.start,n.end)}else e.nextClause()}},T.QueryParser.parseBoost=function(e){var t=e.consumeLexeme();if(void 0!=t){var r=parseInt(t.str,10);if(isNaN(r)){var i="boost must be numeric";throw new T.QueryParseError(i,t.start,t.end)}e.currentClause.boost=r;var n=e.peekLexeme();if(void 0!=n)switch(n.type){case T.QueryLexer.TERM:return e.nextClause(),T.QueryParser.parseTerm;case T.QueryLexer.FIELD:return e.nextClause(),T.QueryParser.parseField;case T.QueryLexer.EDIT_DISTANCE:return T.QueryParser.parseEditDistance;case T.QueryLexer.BOOST:return T.QueryParser.parseBoost;case T.QueryLexer.PRESENCE:return e.nextClause(),T.QueryParser.parsePresence;default:i="Unexpected lexeme type '"+n.type+"'";throw new T.QueryParseError(i,n.start,n.end)}else e.nextClause()}},b=this,P=function(){return T},"function"==typeof define&&define.amd?define(P):"object"==typeof exports?module.exports=P():b.lunr=P()}();<
\ No newline at end of file