Let's call it version 1.0.

2 files changed, 0 insertions, 3494 deletions

diff --git a/public/js/lunr.js b/public/js/lunr.js
deleted file mode 100644
index 1dc8e5f..0000000
--- a/public/js/lunr.js
+++ /dev/null
@@ -1,3471 +0,0 @@
-/**
- * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.6
- * Copyright (C) 2019 Oliver Nightingale
- * @license MIT
- */
-
-;(function(){
-
-/**
- * A convenience function for configuring and constructing
- * a new lunr Index.
- *
- * A lunr.Builder instance is created and the pipeline setup
- * with a trimmer, stop word filter and stemmer.
- *
- * This builder object is yielded to the configuration function
- * that is passed as a parameter, allowing the list of fields
- * and other builder parameters to be customised.
- *
- * All documents _must_ be added within the passed config function.
- *
- * @example
- * var idx = lunr(function () {
- *   this.field('title')
- *   this.field('body')
- *   this.ref('id')
- *
- *   documents.forEach(function (doc) {
- *     this.add(doc)
- *   }, this)
- * })
- *
- * @see {@link lunr.Builder}
- * @see {@link lunr.Pipeline}
- * @see {@link lunr.trimmer}
- * @see {@link lunr.stopWordFilter}
- * @see {@link lunr.stemmer}
- * @namespace {function} lunr
- */
-var lunr = function (config) {
-  var builder = new lunr.Builder
-
-  builder.pipeline.add(
-    lunr.trimmer,
-    lunr.stopWordFilter,
-    lunr.stemmer
-  )
-
-  builder.searchPipeline.add(
-    lunr.stemmer
-  )
-
-  config.call(builder, builder)
-  return builder.build()
-}
-
-lunr.version = "2.3.6"
-/*!
- * lunr.utils
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * A namespace containing utils for the rest of the lunr library
- * @namespace lunr.utils
- */
-lunr.utils = {}
-
-/**
- * Print a warning message to the console.
- *
- * @param {String} message The message to be printed.
- * @memberOf lunr.utils
- * @function
- */
-lunr.utils.warn = (function (global) {
-  /* eslint-disable no-console */
-  return function (message) {
-    if (global.console && console.warn) {
-      console.warn(message)
-    }
-  }
-  /* eslint-enable no-console */
-})(this)
-
-/**
- * Convert an object to a string.
- *
- * In the case of `null` and `undefined` the function returns
- * the empty string, in all other cases the result of calling
- * `toString` on the passed object is returned.
- *
- * @param {Any} obj The object to convert to a string.
- * @return {String} string representation of the passed object.
- * @memberOf lunr.utils
- */
-lunr.utils.asString = function (obj) {
-  if (obj === void 0 || obj === null) {
-    return ""
-  } else {
-    return obj.toString()
-  }
-}
-
-/**
- * Clones an object.
- *
- * Will create a copy of an existing object such that any mutations
- * on the copy cannot affect the original.
- *
- * Only shallow objects are supported, passing a nested object to this
- * function will cause a TypeError.
- *
- * Objects with primitives, and arrays of primitives are supported.
- *
- * @param {Object} obj The object to clone.
- * @return {Object} a clone of the passed object.
- * @throws {TypeError} when a nested object is passed.
- * @memberOf Utils
- */
-lunr.utils.clone = function (obj) {
-  if (obj === null || obj === undefined) {
-    return obj
-  }
-
-  var clone = Object.create(null),
-      keys = Object.keys(obj)
-
-  for (var i = 0; i < keys.length; i++) {
-    var key = keys[i],
-        val = obj[key]
-
-    if (Array.isArray(val)) {
-      clone[key] = val.slice()
-      continue
-    }
-
-    if (typeof val === 'string' ||
-        typeof val === 'number' ||
-        typeof val === 'boolean') {
-      clone[key] = val
-      continue
-    }
-
-    throw new TypeError("clone is not deep and does not support nested objects")
-  }
-
-  return clone
-}
-lunr.FieldRef = function (docRef, fieldName, stringValue) {
-  this.docRef = docRef
-  this.fieldName = fieldName
-  this._stringValue = stringValue
-}
-
-lunr.FieldRef.joiner = "/"
-
-lunr.FieldRef.fromString = function (s) {
-  var n = s.indexOf(lunr.FieldRef.joiner)
-
-  if (n === -1) {
-    throw "malformed field ref string"
-  }
-
-  var fieldRef = s.slice(0, n),
-      docRef = s.slice(n + 1)
-
-  return new lunr.FieldRef (docRef, fieldRef, s)
-}
-
-lunr.FieldRef.prototype.toString = function () {
-  if (this._stringValue == undefined) {
-    this._stringValue = this.fieldName + lunr.FieldRef.joiner + this.docRef
-  }
-
-  return this._stringValue
-}
-/*!
- * lunr.Set
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * A lunr set.
- *
- * @constructor
- */
-lunr.Set = function (elements) {
-  this.elements = Object.create(null)
-
-  if (elements) {
-    this.length = elements.length
-
-    for (var i = 0; i < this.length; i++) {
-      this.elements[elements[i]] = true
-    }
-  } else {
-    this.length = 0
-  }
-}
-
-/**
- * A complete set that contains all elements.
- *
- * @static
- * @readonly
- * @type {lunr.Set}
- */
-lunr.Set.complete = {
-  intersect: function (other) {
-    return other
-  },
-
-  union: function (other) {
-    return other
-  },
-
-  contains: function () {
-    return true
-  }
-}
-
-/**
- * An empty set that contains no elements.
- *
- * @static
- * @readonly
- * @type {lunr.Set}
- */
-lunr.Set.empty = {
-  intersect: function () {
-    return this
-  },
-
-  union: function (other) {
-    return other
-  },
-
-  contains: function () {
-    return false
-  }
-}
-
-/**
- * Returns true if this set contains the specified object.
- *
- * @param {object} object - Object whose presence in this set is to be tested.
- * @returns {boolean} - True if this set contains the specified object.
- */
-lunr.Set.prototype.contains = function (object) {
-  return !!this.elements[object]
-}
-
-/**
- * Returns a new set containing only the elements that are present in both
- * this set and the specified set.
- *
- * @param {lunr.Set} other - set to intersect with this set.
- * @returns {lunr.Set} a new set that is the intersection of this and the specified set.
- */
-
-lunr.Set.prototype.intersect = function (other) {
-  var a, b, elements, intersection = []
-
-  if (other === lunr.Set.complete) {
-    return this
-  }
-
-  if (other === lunr.Set.empty) {
-    return other
-  }
-
-  if (this.length < other.length) {
-    a = this
-    b = other
-  } else {
-    a = other
-    b = this
-  }
-
-  elements = Object.keys(a.elements)
-
-  for (var i = 0; i < elements.length; i++) {
-    var element = elements[i]
-    if (element in b.elements) {
-      intersection.push(element)
-    }
-  }
-
-  return new lunr.Set (intersection)
-}
-
-/**
- * Returns a new set combining the elements of this and the specified set.
- *
- * @param {lunr.Set} other - set to union with this set.
- * @return {lunr.Set} a new set that is the union of this and the specified set.
- */
-
-lunr.Set.prototype.union = function (other) {
-  if (other === lunr.Set.complete) {
-    return lunr.Set.complete
-  }
-
-  if (other === lunr.Set.empty) {
-    return this
-  }
-
-  return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))
-}
-/**
- * A function to calculate the inverse document frequency for
- * a posting. This is shared between the builder and the index
- *
- * @private
- * @param {object} posting - The posting for a given term
- * @param {number} documentCount - The total number of documents.
- */
-lunr.idf = function (posting, documentCount) {
-  var documentsWithTerm = 0
-
-  for (var fieldName in posting) {
-    if (fieldName == '_index') continue // Ignore the term index, its not a field
-    documentsWithTerm += Object.keys(posting[fieldName]).length
-  }
-
-  var x = (documentCount - documentsWithTerm + 0.5) / (documentsWithTerm + 0.5)
-
-  return Math.log(1 + Math.abs(x))
-}
-
-/**
- * A token wraps a string representation of a token
- * as it is passed through the text processing pipeline.
- *
- * @constructor
- * @param {string} [str=''] - The string token being wrapped.
- * @param {object} [metadata={}] - Metadata associated with this token.
- */
-lunr.Token = function (str, metadata) {
-  this.str = str || ""
-  this.metadata = metadata || {}
-}
-
-/**
- * Returns the token string that is being wrapped by this object.
- *
- * @returns {string}
- */
-lunr.Token.prototype.toString = function () {
-  return this.str
-}
-
-/**
- * A token update function is used when updating or optionally
- * when cloning a token.
- *
- * @callback lunr.Token~updateFunction
- * @param {string} str - The string representation of the token.
- * @param {Object} metadata - All metadata associated with this token.
- */
-
-/**
- * Applies the given function to the wrapped string token.
- *
- * @example
- * token.update(function (str, metadata) {
- *   return str.toUpperCase()
- * })
- *
- * @param {lunr.Token~updateFunction} fn - A function to apply to the token string.
- * @returns {lunr.Token}
- */
-lunr.Token.prototype.update = function (fn) {
-  this.str = fn(this.str, this.metadata)
-  return this
-}
-
-/**
- * Creates a clone of this token. Optionally a function can be
- * applied to the cloned token.
- *
- * @param {lunr.Token~updateFunction} [fn] - An optional function to apply to the cloned token.
- * @returns {lunr.Token}
- */
-lunr.Token.prototype.clone = function (fn) {
-  fn = fn || function (s) { return s }
-  return new lunr.Token (fn(this.str, this.metadata), this.metadata)
-}
-/*!
- * lunr.tokenizer
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * A function for splitting a string into tokens ready to be inserted into
- * the search index. Uses `lunr.tokenizer.separator` to split strings, change
- * the value of this property to change how strings are split into tokens.
- *
- * This tokenizer will convert its parameter to a string by calling `toString` and
- * then will split this string on the character in `lunr.tokenizer.separator`.
- * Arrays will have their elements converted to strings and wrapped in a lunr.Token.
- *
- * Optional metadata can be passed to the tokenizer, this metadata will be cloned and
- * added as metadata to every token that is created from the object to be tokenized.
- *
- * @static
- * @param {?(string|object|object[])} obj - The object to convert into tokens
- * @param {?object} metadata - Optional metadata to associate with every token
- * @returns {lunr.Token[]}
- * @see {@link lunr.Pipeline}
- */
-lunr.tokenizer = function (obj, metadata) {
-  if (obj == null || obj == undefined) {
-    return []
-  }
-
-  if (Array.isArray(obj)) {
-    return obj.map(function (t) {
-      return new lunr.Token(
-        lunr.utils.asString(t).toLowerCase(),
-        lunr.utils.clone(metadata)
-      )
-    })
-  }
-
-  var str = obj.toString().trim().toLowerCase(),
-      len = str.length,
-      tokens = []
-
-  for (var sliceEnd = 0, sliceStart = 0; sliceEnd <= len; sliceEnd++) {
-    var char = str.charAt(sliceEnd),
-        sliceLength = sliceEnd - sliceStart
-
-    if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {
-
-      if (sliceLength > 0) {
-        var tokenMetadata = lunr.utils.clone(metadata) || {}
-        tokenMetadata["position"] = [sliceStart, sliceLength]
-        tokenMetadata["index"] = tokens.length
-
-        tokens.push(
-          new lunr.Token (
-            str.slice(sliceStart, sliceEnd),
-            tokenMetadata
-          )
-        )
-      }
-
-      sliceStart = sliceEnd + 1
-    }
-
-  }
-
-  return tokens
-}
-
-/**
- * The separator used to split a string into tokens. Override this property to change the behaviour of
- * `lunr.tokenizer` behaviour when tokenizing strings. By default this splits on whitespace and hyphens.
- *
- * @static
- * @see lunr.tokenizer
- */
-lunr.tokenizer.separator = /[\s\-]+/
-/*!
- * lunr.Pipeline
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * lunr.Pipelines maintain an ordered list of functions to be applied to all
- * tokens in documents entering the search index and queries being ran against
- * the index.
- *
- * An instance of lunr.Index created with the lunr shortcut will contain a
- * pipeline with a stop word filter and an English language stemmer. Extra
- * functions can be added before or after either of these functions or these
- * default functions can be removed.
- *
- * When run the pipeline will call each function in turn, passing a token, the
- * index of that token in the original list of all tokens and finally a list of
- * all the original tokens.
- *
- * The output of functions in the pipeline will be passed to the next function
- * in the pipeline. To exclude a token from entering the index the function
- * should return undefined, the rest of the pipeline will not be called with
- * this token.
- *
- * For serialisation of pipelines to work, all functions used in an instance of
- * a pipeline should be registered with lunr.Pipeline. Registered functions can
- * then be loaded. If trying to load a serialised pipeline that uses functions
- * that are not registered an error will be thrown.
- *
- * If not planning on serialising the pipeline then registering pipeline functions
- * is not necessary.
- *
- * @constructor
- */
-lunr.Pipeline = function () {
-  this._stack = []
-}
-
-lunr.Pipeline.registeredFunctions = Object.create(null)
-
-/**
- * A pipeline function maps lunr.Token to lunr.Token. A lunr.Token contains the token
- * string as well as all known metadata. A pipeline function can mutate the token string
- * or mutate (or add) metadata for a given token.
- *
- * A pipeline function can indicate that the passed token should be discarded by returning
- * null. This token will not be passed to any downstream pipeline functions and will not be
- * added to the index.
- *
- * Multiple tokens can be returned by returning an array of tokens. Each token will be passed
- * to any downstream pipeline functions and all will returned tokens will be added to the index.
- *
- * Any number of pipeline functions may be chained together using a lunr.Pipeline.
- *
- * @interface lunr.PipelineFunction
- * @param {lunr.Token} token - A token from the document being processed.
- * @param {number} i - The index of this token in the complete list of tokens for this document/field.
- * @param {lunr.Token[]} tokens - All tokens for this document/field.
- * @returns {(?lunr.Token|lunr.Token[])}
- */
-
-/**
- * Register a function with the pipeline.
- *
- * Functions that are used in the pipeline should be registered if the pipeline
- * needs to be serialised, or a serialised pipeline needs to be loaded.
- *
- * Registering a function does not add it to a pipeline, functions must still be
- * added to instances of the pipeline for them to be used when running a pipeline.
- *
- * @param {lunr.PipelineFunction} fn - The function to check for.
- * @param {String} label - The label to register this function with
- */
-lunr.Pipeline.registerFunction = function (fn, label) {
-  if (label in this.registeredFunctions) {
-    lunr.utils.warn('Overwriting existing registered function: ' + label)
-  }
-
-  fn.label = label
-  lunr.Pipeline.registeredFunctions[fn.label] = fn
-}
-
-/**
- * Warns if the function is not registered as a Pipeline function.
- *
- * @param {lunr.PipelineFunction} fn - The function to check for.
- * @private
- */
-lunr.Pipeline.warnIfFunctionNotRegistered = function (fn) {
-  var isRegistered = fn.label && (fn.label in this.registeredFunctions)
-
-  if (!isRegistered) {
-    lunr.utils.warn('Function is not registered with pipeline. This may cause problems when serialising the index.\n', fn)
-  }
-}
-
-/**
- * Loads a previously serialised pipeline.
- *
- * All functions to be loaded must already be registered with lunr.Pipeline.
- * If any function from the serialised data has not been registered then an
- * error will be thrown.
- *
- * @param {Object} serialised - The serialised pipeline to load.
- * @returns {lunr.Pipeline}
- */
-lunr.Pipeline.load = function (serialised) {
-  var pipeline = new lunr.Pipeline
-
-  serialised.forEach(function (fnName) {
-    var fn = lunr.Pipeline.registeredFunctions[fnName]
-
-    if (fn) {
-      pipeline.add(fn)
-    } else {
-      throw new Error('Cannot load unregistered function: ' + fnName)
-    }
-  })
-
-  return pipeline
-}
-
-/**
- * Adds new functions to the end of the pipeline.
- *
- * Logs a warning if the function has not been registered.
- *
- * @param {lunr.PipelineFunction[]} functions - Any number of functions to add to the pipeline.
- */
-lunr.Pipeline.prototype.add = function () {
-  var fns = Array.prototype.slice.call(arguments)
-
-  fns.forEach(function (fn) {
-    lunr.Pipeline.warnIfFunctionNotRegistered(fn)
-    this._stack.push(fn)
-  }, this)
-}
-
-/**
- * Adds a single function after a function that already exists in the
- * pipeline.
- *
- * Logs a warning if the function has not been registered.
- *
- * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.
- * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.
- */
-lunr.Pipeline.prototype.after = function (existingFn, newFn) {
-  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)
-
-  var pos = this._stack.indexOf(existingFn)
-  if (pos == -1) {
-    throw new Error('Cannot find existingFn')
-  }
-
-  pos = pos + 1
-  this._stack.splice(pos, 0, newFn)
-}
-
-/**
- * Adds a single function before a function that already exists in the
- * pipeline.
- *
- * Logs a warning if the function has not been registered.
- *
- * @param {lunr.PipelineFunction} existingFn - A function that already exists in the pipeline.
- * @param {lunr.PipelineFunction} newFn - The new function to add to the pipeline.
- */
-lunr.Pipeline.prototype.before = function (existingFn, newFn) {
-  lunr.Pipeline.warnIfFunctionNotRegistered(newFn)
-
-  var pos = this._stack.indexOf(existingFn)
-  if (pos == -1) {
-    throw new Error('Cannot find existingFn')
-  }
-
-  this._stack.splice(pos, 0, newFn)
-}
-
-/**
- * Removes a function from the pipeline.
- *
- * @param {lunr.PipelineFunction} fn The function to remove from the pipeline.
- */
-lunr.Pipeline.prototype.remove = function (fn) {
-  var pos = this._stack.indexOf(fn)
-  if (pos == -1) {
-    return
-  }
-
-  this._stack.splice(pos, 1)
-}
-
-/**
- * Runs the current list of functions that make up the pipeline against the
- * passed tokens.
- *
- * @param {Array} tokens The tokens to run through the pipeline.
- * @returns {Array}
- */
-lunr.Pipeline.prototype.run = function (tokens) {
-  var stackLength = this._stack.length
-
-  for (var i = 0; i < stackLength; i++) {
-    var fn = this._stack[i]
-    var memo = []
-
-    for (var j = 0; j < tokens.length; j++) {
-      var result = fn(tokens[j], j, tokens)
-
-      if (result === void 0 || result === '') continue
-
-      if (Array.isArray(result)) {
-        for (var k = 0; k < result.length; k++) {
-          memo.push(result[k])
-        }
-      } else {
-        memo.push(result)
-      }
-    }
-
-    tokens = memo
-  }
-
-  return tokens
-}
-
-/**
- * Convenience method for passing a string through a pipeline and getting
- * strings out. This method takes care of wrapping the passed string in a
- * token and mapping the resulting tokens back to strings.
- *
- * @param {string} str - The string to pass through the pipeline.
- * @param {?object} metadata - Optional metadata to associate with the token
- * passed to the pipeline.
- * @returns {string[]}
- */
-lunr.Pipeline.prototype.runString = function (str, metadata) {
-  var token = new lunr.Token (str, metadata)
-
-  return this.run([token]).map(function (t) {
-    return t.toString()
-  })
-}
-
-/**
- * Resets the pipeline by removing any existing processors.
- *
- */
-lunr.Pipeline.prototype.reset = function () {
-  this._stack = []
-}
-
-/**
- * Returns a representation of the pipeline ready for serialisation.
- *
- * Logs a warning if the function has not been registered.
- *
- * @returns {Array}
- */
-lunr.Pipeline.prototype.toJSON = function () {
-  return this._stack.map(function (fn) {
-    lunr.Pipeline.warnIfFunctionNotRegistered(fn)
-
-    return fn.label
-  })
-}
-/*!
- * lunr.Vector
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * A vector is used to construct the vector space of documents and queries. These
- * vectors support operations to determine the similarity between two documents or
- * a document and a query.
- *
- * Normally no parameters are required for initializing a vector, but in the case of
- * loading a previously dumped vector the raw elements can be provided to the constructor.
- *
- * For performance reasons vectors are implemented with a flat array, where an elements
- * index is immediately followed by its value. E.g. [index, value, index, value]. This
- * allows the underlying array to be as sparse as possible and still offer decent
- * performance when being used for vector calculations.
- *
- * @constructor
- * @param {Number[]} [elements] - The flat list of element index and element value pairs.
- */
-lunr.Vector = function (elements) {
-  this._magnitude = 0
-  this.elements = elements || []
-}
-
-
-/**
- * Calculates the position within the vector to insert a given index.
- *
- * This is used internally by insert and upsert. If there are duplicate indexes then
- * the position is returned as if the value for that index were to be updated, but it
- * is the callers responsibility to check whether there is a duplicate at that index
- *
- * @param {Number} insertIdx - The index at which the element should be inserted.
- * @returns {Number}
- */
-lunr.Vector.prototype.positionForIndex = function (index) {
-  // For an empty vector the tuple can be inserted at the beginning
-  if (this.elements.length == 0) {
-    return 0
-  }
-
-  var start = 0,
-      end = this.elements.length / 2,
-      sliceLength = end - start,
-      pivotPoint = Math.floor(sliceLength / 2),
-      pivotIndex = this.elements[pivotPoint * 2]
-
-  while (sliceLength > 1) {
-    if (pivotIndex < index) {
-      start = pivotPoint
-    }
-
-    if (pivotIndex > index) {
-      end = pivotPoint
-    }
-
-    if (pivotIndex == index) {
-      break
-    }
-
-    sliceLength = end - start
-    pivotPoint = start + Math.floor(sliceLength / 2)
-    pivotIndex = this.elements[pivotPoint * 2]
-  }
-
-  if (pivotIndex == index) {
-    return pivotPoint * 2
-  }
-
-  if (pivotIndex > index) {
-    return pivotPoint * 2
-  }
-
-  if (pivotIndex < index) {
-    return (pivotPoint + 1) * 2
-  }
-}
-
-/**
- * Inserts an element at an index within the vector.
- *
- * Does not allow duplicates, will throw an error if there is already an entry
- * for this index.
- *
- * @param {Number} insertIdx - The index at which the element should be inserted.
- * @param {Number} val - The value to be inserted into the vector.
- */
-lunr.Vector.prototype.insert = function (insertIdx, val) {
-  this.upsert(insertIdx, val, function () {
-    throw "duplicate index"
-  })
-}
-
-/**
- * Inserts or updates an existing index within the vector.
- *
- * @param {Number} insertIdx - The index at which the element should be inserted.
- * @param {Number} val - The value to be inserted into the vector.
- * @param {function} fn - A function that is called for updates, the existing value and the
- * requested value are passed as arguments
- */
-lunr.Vector.prototype.upsert = function (insertIdx, val, fn) {
-  this._magnitude = 0
-  var position = this.positionForIndex(insertIdx)
-
-  if (this.elements[position] == insertIdx) {
-    this.elements[position + 1] = fn(this.elements[position + 1], val)
-  } else {
-    this.elements.splice(position, 0, insertIdx, val)
-  }
-}
-
-/**
- * Calculates the magnitude of this vector.
- *
- * @returns {Number}
- */
-lunr.Vector.prototype.magnitude = function () {
-  if (this._magnitude) return this._magnitude
-
-  var sumOfSquares = 0,
-      elementsLength = this.elements.length
-
-  for (var i = 1; i < elementsLength; i += 2) {
-    var val = this.elements[i]
-    sumOfSquares += val * val
-  }
-
-  return this._magnitude = Math.sqrt(sumOfSquares)
-}
-
-/**
- * Calculates the dot product of this vector and another vector.
- *
- * @param {lunr.Vector} otherVector - The vector to compute the dot product with.
- * @returns {Number}
- */
-lunr.Vector.prototype.dot = function (otherVector) {
-  var dotProduct = 0,
-      a = this.elements, b = otherVector.elements,
-      aLen = a.length, bLen = b.length,
-      aVal = 0, bVal = 0,
-      i = 0, j = 0
-
-  while (i < aLen && j < bLen) {
-    aVal = a[i], bVal = b[j]
-    if (aVal < bVal) {
-      i += 2
-    } else if (aVal > bVal) {
-      j += 2
-    } else if (aVal == bVal) {
-      dotProduct += a[i + 1] * b[j + 1]
-      i += 2
-      j += 2
-    }
-  }
-
-  return dotProduct
-}
-
-/**
- * Calculates the similarity between this vector and another vector.
- *
- * @param {lunr.Vector} otherVector - The other vector to calculate the
- * similarity with.
- * @returns {Number}
- */
-lunr.Vector.prototype.similarity = function (otherVector) {
-  return this.dot(otherVector) / this.magnitude() || 0
-}
-
-/**
- * Converts the vector to an array of the elements within the vector.
- *
- * @returns {Number[]}
- */
-lunr.Vector.prototype.toArray = function () {
-  var output = new Array (this.elements.length / 2)
-
-  for (var i = 1, j = 0; i < this.elements.length; i += 2, j++) {
-    output[j] = this.elements[i]
-  }
-
-  return output
-}
-
-/**
- * A JSON serializable representation of the vector.
- *
- * @returns {Number[]}
- */
-lunr.Vector.prototype.toJSON = function () {
-  return this.elements
-}
-/* eslint-disable */
-/*!
- * lunr.stemmer
- * Copyright (C) 2019 Oliver Nightingale
- * Includes code from - http://tartarus.org/~martin/PorterStemmer/js.txt
- */
-
-/**
- * lunr.stemmer is an english language stemmer, this is a JavaScript
- * implementation of the PorterStemmer taken from http://tartarus.org/~martin
- *
- * @static
- * @implements {lunr.PipelineFunction}
- * @param {lunr.Token} token - The string to stem
- * @returns {lunr.Token}
- * @see {@link lunr.Pipeline}
- * @function
- */
-lunr.stemmer = (function(){
-  var step2list = {
-      "ational" : "ate",
-      "tional" : "tion",
-      "enci" : "ence",
-      "anci" : "ance",
-      "izer" : "ize",
-      "bli" : "ble",
-      "alli" : "al",
-      "entli" : "ent",
-      "eli" : "e",
-      "ousli" : "ous",
-      "ization" : "ize",
-      "ation" : "ate",
-      "ator" : "ate",
-      "alism" : "al",
-      "iveness" : "ive",
-      "fulness" : "ful",
-      "ousness" : "ous",
-      "aliti" : "al",
-      "iviti" : "ive",
-      "biliti" : "ble",
-      "logi" : "log"
-    },
-
-    step3list = {
-      "icate" : "ic",
-      "ative" : "",
-      "alize" : "al",
-      "iciti" : "ic",
-      "ical" : "ic",
-      "ful" : "",
-      "ness" : ""
-    },
-
-    c = "[^aeiou]",          // consonant
-    v = "[aeiouy]",          // vowel
-    C = c + "[^aeiouy]*",    // consonant sequence
-    V = v + "[aeiou]*",      // vowel sequence
-
-    mgr0 = "^(" + C + ")?" + V + C,               // [C]VC... is m>0
-    meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$",  // [C]VC[V] is m=1
-    mgr1 = "^(" + C + ")?" + V + C + V + C,       // [C]VCVC... is m>1
-    s_v = "^(" + C + ")?" + v;                   // vowel in stem
-
-  var re_mgr0 = new RegExp(mgr0);
-  var re_mgr1 = new RegExp(mgr1);
-  var re_meq1 = new RegExp(meq1);
-  var re_s_v = new RegExp(s_v);
-
-  var re_1a = /^(.+?)(ss|i)es$/;
-  var re2_1a = /^(.+?)([^s])s$/;
-  var re_1b = /^(.+?)eed$/;
-  var re2_1b = /^(.+?)(ed|ing)$/;
-  var re_1b_2 = /.$/;
-  var re2_1b_2 = /(at|bl|iz)$/;
-  var re3_1b_2 = new RegExp("([^aeiouylsz])\\1$");
-  var re4_1b_2 = new RegExp("^" + C + v + "[^aeiouwxy]$");
-
-  var re_1c = /^(.+?[^aeiou])y$/;
-  var re_2 = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
-
-  var re_3 = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
-
-  var re_4 = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
-  var re2_4 = /^(.+?)(s|t)(ion)$/;
-
-  var re_5 = /^(.+?)e$/;
-  var re_5_1 = /ll$/;
-  var re3_5 = new RegExp("^" + C + v + "[^aeiouwxy]$");
-
-  var porterStemmer = function porterStemmer(w) {
-    var stem,
-      suffix,
-      firstch,
-      re,
-      re2,
-      re3,
-      re4;
-
-    if (w.length < 3) { return w; }
-
-    firstch = w.substr(0,1);
-    if (firstch == "y") {
-      w = firstch.toUpperCase() + w.substr(1);
-    }
-
-    // Step 1a
-    re = re_1a
-    re2 = re2_1a;
-
-    if (re.test(w)) { w = w.replace(re,"$1$2"); }
-    else if (re2.test(w)) { w = w.replace(re2,"$1$2"); }
-
-    // Step 1b
-    re = re_1b;
-    re2 = re2_1b;
-    if (re.test(w)) {
-      var fp = re.exec(w);
-      re = re_mgr0;
-      if (re.test(fp[1])) {
-        re = re_1b_2;
-        w = w.replace(re,"");
-      }
-    } else if (re2.test(w)) {
-      var fp = re2.exec(w);
-      stem = fp[1];
-      re2 = re_s_v;
-      if (re2.test(stem)) {
-        w = stem;
-        re2 = re2_1b_2;
-        re3 = re3_1b_2;
-        re4 = re4_1b_2;
-        if (re2.test(w)) { w = w + "e"; }
-        else if (re3.test(w)) { re = re_1b_2; w = w.replace(re,""); }
-        else if (re4.test(w)) { w = w + "e"; }
-      }
-    }
-
-    // Step 1c - replace suffix y or Y by i if preceded by a non-vowel which is not the first letter of the word (so cry -> cri, by -> by, say -> say)
-    re = re_1c;
-    if (re.test(w)) {
-      var fp = re.exec(w);
-      stem = fp[1];
-      w = stem + "i";
-    }
-
-    // Step 2
-    re = re_2;
-    if (re.test(w)) {
-      var fp = re.exec(w);
-      stem = fp[1];
-      suffix = fp[2];
-      re = re_mgr0;
-      if (re.test(stem)) {
-        w = stem + step2list[suffix];
-      }
-    }
-
-    // Step 3
-    re = re_3;
-    if (re.test(w)) {
-      var fp = re.exec(w);
-      stem = fp[1];
-      suffix = fp[2];
-      re = re_mgr0;
-      if (re.test(stem)) {
-        w = stem + step3list[suffix];
-      }
-    }
-
-    // Step 4
-    re = re_4;
-    re2 = re2_4;
-    if (re.test(w)) {
-      var fp = re.exec(w);
-      stem = fp[1];
-      re = re_mgr1;
-      if (re.test(stem)) {
-        w = stem;
-      }
-    } else if (re2.test(w)) {
-      var fp = re2.exec(w);
-      stem = fp[1] + fp[2];
-      re2 = re_mgr1;
-      if (re2.test(stem)) {
-        w = stem;
-      }
-    }
-
-    // Step 5
-    re = re_5;
-    if (re.test(w)) {
-      var fp = re.exec(w);
-      stem = fp[1];
-      re = re_mgr1;
-      re2 = re_meq1;
-      re3 = re3_5;
-      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) {
-        w = stem;
-      }
-    }
-
-    re = re_5_1;
-    re2 = re_mgr1;
-    if (re.test(w) && re2.test(w)) {
-      re = re_1b_2;
-      w = w.replace(re,"");
-    }
-
-    // and turn initial Y back to y
-
-    if (firstch == "y") {
-      w = firstch.toLowerCase() + w.substr(1);
-    }
-
-    return w;
-  };
-
-  return function (token) {
-    return token.update(porterStemmer);
-  }
-})();
-
-lunr.Pipeline.registerFunction(lunr.stemmer, 'stemmer')
-/*!
- * lunr.stopWordFilter
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * lunr.generateStopWordFilter builds a stopWordFilter function from the provided
- * list of stop words.
- *
- * The built in lunr.stopWordFilter is built using this generator and can be used
- * to generate custom stopWordFilters for applications or non English languages.
- *
- * @function
- * @param {Array} token The token to pass through the filter
- * @returns {lunr.PipelineFunction}
- * @see lunr.Pipeline
- * @see lunr.stopWordFilter
- */
-lunr.generateStopWordFilter = function (stopWords) {
-  var words = stopWords.reduce(function (memo, stopWord) {
-    memo[stopWord] = stopWord
-    return memo
-  }, {})
-
-  return function (token) {
-    if (token && words[token.toString()] !== token.toString()) return token
-  }
-}
-
-/**
- * lunr.stopWordFilter is an English language stop word list filter, any words
- * contained in the list will not be passed through the filter.
- *
- * This is intended to be used in the Pipeline. If the token does not pass the
- * filter then undefined will be returned.
- *
- * @function
- * @implements {lunr.PipelineFunction}
- * @params {lunr.Token} token - A token to check for being a stop word.
- * @returns {lunr.Token}
- * @see {@link lunr.Pipeline}
- */
-lunr.stopWordFilter = lunr.generateStopWordFilter([
-  'a',
-  'able',
-  'about',
-  'across',
-  'after',
-  'all',
-  'almost',
-  'also',
-  'am',
-  'among',
-  'an',
-  'and',
-  'any',
-  'are',
-  'as',
-  'at',
-  'be',
-  'because',
-  'been',
-  'but',
-  'by',
-  'can',
-  'cannot',
-  'could',
-  'dear',
-  'did',
-  'do',
-  'does',
-  'either',
-  'else',
-  'ever',
-  'every',
-  'for',
-  'from',
-  'get',
-  'got',
-  'had',
-  'has',
-  'have',
-  'he',
-  'her',
-  'hers',
-  'him',
-  'his',
-  'how',
-  'however',
-  'i',
-  'if',
-  'in',
-  'into',
-  'is',
-  'it',
-  'its',
-  'just',
-  'least',
-  'let',
-  'like',
-  'likely',
-  'may',
-  'me',
-  'might',
-  'most',
-  'must',
-  'my',
-  'neither',
-  'no',
-  'nor',
-  'not',
-  'of',
-  'off',
-  'often',
-  'on',
-  'only',
-  'or',
-  'other',
-  'our',
-  'own',
-  'rather',
-  'said',
-  'say',
-  'says',
-  'she',
-  'should',
-  'since',
-  'so',
-  'some',
-  'than',
-  'that',
-  'the',
-  'their',
-  'them',
-  'then',
-  'there',
-  'these',
-  'they',
-  'this',
-  'tis',
-  'to',
-  'too',
-  'twas',
-  'us',
-  'wants',
-  'was',
-  'we',
-  'were',
-  'what',
-  'when',
-  'where',
-  'which',
-  'while',
-  'who',
-  'whom',
-  'why',
-  'will',
-  'with',
-  'would',
-  'yet',
-  'you',
-  'your'
-])
-
-lunr.Pipeline.registerFunction(lunr.stopWordFilter, 'stopWordFilter')
-/*!
- * lunr.trimmer
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * lunr.trimmer is a pipeline function for trimming non word
- * characters from the beginning and end of tokens before they
- * enter the index.
- *
- * This implementation may not work correctly for non latin
- * characters and should either be removed or adapted for use
- * with languages with non-latin characters.
- *
- * @static
- * @implements {lunr.PipelineFunction}
- * @param {lunr.Token} token The token to pass through the filter
- * @returns {lunr.Token}
- * @see lunr.Pipeline
- */
-lunr.trimmer = function (token) {
-  return token.update(function (s) {
-    return s.replace(/^\W+/, '').replace(/\W+$/, '')
-  })
-}
-
-lunr.Pipeline.registerFunction(lunr.trimmer, 'trimmer')
-/*!
- * lunr.TokenSet
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * A token set is used to store the unique list of all tokens
- * within an index. Token sets are also used to represent an
- * incoming query to the index, this query token set and index
- * token set are then intersected to find which tokens to look
- * up in the inverted index.
- *
- * A token set can hold multiple tokens, as in the case of the
- * index token set, or it can hold a single token as in the
- * case of a simple query token set.
- *
- * Additionally token sets are used to perform wildcard matching.
- * Leading, contained and trailing wildcards are supported, and
- * from this edit distance matching can also be provided.
- *
- * Token sets are implemented as a minimal finite state automata,
- * where both common prefixes and suffixes are shared between tokens.
- * This helps to reduce the space used for storing the token set.
- *
- * @constructor
- */
-lunr.TokenSet = function () {
-  this.final = false
-  this.edges = {}
-  this.id = lunr.TokenSet._nextId
-  lunr.TokenSet._nextId += 1
-}
-
-/**
- * Keeps track of the next, auto increment, identifier to assign
- * to a new tokenSet.
- *
- * TokenSets require a unique identifier to be correctly minimised.
- *
- * @private
- */
-lunr.TokenSet._nextId = 1
-
-/**
- * Creates a TokenSet instance from the given sorted array of words.
- *
- * @param {String[]} arr - A sorted array of strings to create the set from.
- * @returns {lunr.TokenSet}
- * @throws Will throw an error if the input array is not sorted.
- */
-lunr.TokenSet.fromArray = function (arr) {
-  var builder = new lunr.TokenSet.Builder
-
-  for (var i = 0, len = arr.length; i < len; i++) {
-    builder.insert(arr[i])
-  }
-
-  builder.finish()
-  return builder.root
-}
-
-/**
- * Creates a token set from a query clause.
- *
- * @private
- * @param {Object} clause - A single clause from lunr.Query.
- * @param {string} clause.term - The query clause term.
- * @param {number} [clause.editDistance] - The optional edit distance for the term.
- * @returns {lunr.TokenSet}
- */
-lunr.TokenSet.fromClause = function (clause) {
-  if ('editDistance' in clause) {
-    return lunr.TokenSet.fromFuzzyString(clause.term, clause.editDistance)
-  } else {
-    return lunr.TokenSet.fromString(clause.term)
-  }
-}
-
-/**
- * Creates a token set representing a single string with a specified
- * edit distance.
- *
- * Insertions, deletions, substitutions and transpositions are each
- * treated as an edit distance of 1.
- *
- * Increasing the allowed edit distance will have a dramatic impact
- * on the performance of both creating and intersecting these TokenSets.
- * It is advised to keep the edit distance less than 3.
- *
- * @param {string} str - The string to create the token set from.
- * @param {number} editDistance - The allowed edit distance to match.
- * @returns {lunr.Vector}
- */
-lunr.TokenSet.fromFuzzyString = function (str, editDistance) {
-  var root = new lunr.TokenSet
-
-  var stack = [{
-    node: root,
-    editsRemaining: editDistance,
-    str: str
-  }]
-
-  while (stack.length) {
-    var frame = stack.pop()
-
-    // no edit
-    if (frame.str.length > 0) {
-      var char = frame.str.charAt(0),
-          noEditNode
-
-      if (char in frame.node.edges) {
-        noEditNode = frame.node.edges[char]
-      } else {
-        noEditNode = new lunr.TokenSet
-        frame.node.edges[char] = noEditNode
-      }
-
-      if (frame.str.length == 1) {
-        noEditNode.final = true
-      }
-
-      stack.push({
-        node: noEditNode,
-        editsRemaining: frame.editsRemaining,
-        str: frame.str.slice(1)
-      })
-    }
-
-    if (frame.editsRemaining == 0) {
-      continue
-    }
-
-    // insertion
-    if ("*" in frame.node.edges) {
-      var insertionNode = frame.node.edges["*"]
-    } else {
-      var insertionNode = new lunr.TokenSet
-      frame.node.edges["*"] = insertionNode
-    }
-
-    if (frame.str.length == 0) {
-      insertionNode.final = true
-    }
-
-    stack.push({
-      node: insertionNode,
-      editsRemaining: frame.editsRemaining - 1,
-      str: frame.str
-    })
-
-    // deletion
-    // can only do a deletion if we have enough edits remaining
-    // and if there are characters left to delete in the string
-    if (frame.str.length > 1) {
-      stack.push({
-        node: frame.node,
-        editsRemaining: frame.editsRemaining - 1,
-        str: frame.str.slice(1)
-      })
-    }
-
-    // deletion
-    // just removing the last character from the str
-    if (frame.str.length == 1) {
-      frame.node.final = true
-    }
-
-    // substitution
-    // can only do a substitution if we have enough edits remaining
-    // and if there are characters left to substitute
-    if (frame.str.length >= 1) {
-      if ("*" in frame.node.edges) {
-        var substitutionNode = frame.node.edges["*"]
-      } else {
-        var substitutionNode = new lunr.TokenSet
-        frame.node.edges["*"] = substitutionNode
-      }
-
-      if (frame.str.length == 1) {
-        substitutionNode.final = true
-      }
-
-      stack.push({
-        node: substitutionNode,
-        editsRemaining: frame.editsRemaining - 1,
-        str: frame.str.slice(1)
-      })
-    }
-
-    // transposition
-    // can only do a transposition if there are edits remaining
-    // and there are enough characters to transpose
-    if (frame.str.length > 1) {
-      var charA = frame.str.charAt(0),
-          charB = frame.str.charAt(1),
-          transposeNode
-
-      if (charB in frame.node.edges) {
-        transposeNode = frame.node.edges[charB]
-      } else {
-        transposeNode = new lunr.TokenSet
-        frame.node.edges[charB] = transposeNode
-      }
-
-      if (frame.str.length == 1) {
-        transposeNode.final = true
-      }
-
-      stack.push({
-        node: transposeNode,
-        editsRemaining: frame.editsRemaining - 1,
-        str: charA + frame.str.slice(2)
-      })
-    }
-  }
-
-  return root
-}
-
-/**
- * Creates a TokenSet from a string.
- *
- * The string may contain one or more wildcard characters (*)
- * that will allow wildcard matching when intersecting with
- * another TokenSet.
- *
- * @param {string} str - The string to create a TokenSet from.
- * @returns {lunr.TokenSet}
- */
-lunr.TokenSet.fromString = function (str) {
-  var node = new lunr.TokenSet,
-      root = node
-
-  /*
-   * Iterates through all characters within the passed string
-   * appending a node for each character.
-   *
-   * When a wildcard character is found then a self
-   * referencing edge is introduced to continually match
-   * any number of any characters.
-   */
-  for (var i = 0, len = str.length; i < len; i++) {
-    var char = str[i],
-        final = (i == len - 1)
-
-    if (char == "*") {
-      node.edges[char] = node
-      node.final = final
-
-    } else {
-      var next = new lunr.TokenSet
-      next.final = final
-
-      node.edges[char] = next
-      node = next
-    }
-  }
-
-  return root
-}
-
-/**
- * Converts this TokenSet into an array of strings
- * contained within the TokenSet.
- *
- * @returns {string[]}
- */
-lunr.TokenSet.prototype.toArray = function () {
-  var words = []
-
-  var stack = [{
-    prefix: "",
-    node: this
-  }]
-
-  while (stack.length) {
-    var frame = stack.pop(),
-        edges = Object.keys(frame.node.edges),
-        len = edges.length
-
-    if (frame.node.final) {
-      /* In Safari, at this point the prefix is sometimes corrupted, see:
-       * https://github.com/olivernn/lunr.js/issues/279 Calling any
-       * String.prototype method forces Safari to "cast" this string to what
-       * it's supposed to be, fixing the bug. */
-      frame.prefix.charAt(0)
-      words.push(frame.prefix)
-    }
-
-    for (var i = 0; i < len; i++) {
-      var edge = edges[i]
-
-      stack.push({
-        prefix: frame.prefix.concat(edge),
-        node: frame.node.edges[edge]
-      })
-    }
-  }
-
-  return words
-}
-
-/**
- * Generates a string representation of a TokenSet.
- *
- * This is intended to allow TokenSets to be used as keys
- * in objects, largely to aid the construction and minimisation
- * of a TokenSet. As such it is not designed to be a human
- * friendly representation of the TokenSet.
- *
- * @returns {string}
- */
-lunr.TokenSet.prototype.toString = function () {
-  // NOTE: Using Object.keys here as this.edges is very likely
-  // to enter 'hash-mode' with many keys being added
-  //
-  // avoiding a for-in loop here as it leads to the function
-  // being de-optimised (at least in V8). From some simple
-  // benchmarks the performance is comparable, but allowing
-  // V8 to optimize may mean easy performance wins in the future.
-
-  if (this._str) {
-    return this._str
-  }
-
-  var str = this.final ? '1' : '0',
-      labels = Object.keys(this.edges).sort(),
-      len = labels.length
-
-  for (var i = 0; i < len; i++) {
-    var label = labels[i],
-        node = this.edges[label]
-
-    str = str + label + node.id
-  }
-
-  return str
-}
-
-/**
- * Returns a new TokenSet that is the intersection of
- * this TokenSet and the passed TokenSet.
- *
- * This intersection will take into account any wildcards
- * contained within the TokenSet.
- *
- * @param {lunr.TokenSet} b - An other TokenSet to intersect with.
- * @returns {lunr.TokenSet}
- */
-lunr.TokenSet.prototype.intersect = function (b) {
-  var output = new lunr.TokenSet,
-      frame = undefined
-
-  var stack = [{
-    qNode: b,
-    output: output,
-    node: this
-  }]
-
-  while (stack.length) {
-    frame = stack.pop()
-
-    // NOTE: As with the #toString method, we are using
-    // Object.keys and a for loop instead of a for-in loop
-    // as both of these objects enter 'hash' mode, causing
-    // the function to be de-optimised in V8
-    var qEdges = Object.keys(frame.qNode.edges),
-        qLen = qEdges.length,
-        nEdges = Object.keys(frame.node.edges),
-        nLen = nEdges.length
-
-    for (var q = 0; q < qLen; q++) {
-      var qEdge = qEdges[q]
-
-      for (var n = 0; n < nLen; n++) {
-        var nEdge = nEdges[n]
-
-        if (nEdge == qEdge || qEdge == '*') {
-          var node = frame.node.edges[nEdge],
-              qNode = frame.qNode.edges[qEdge],
-              final = node.final && qNode.final,
-              next = undefined
-
-          if (nEdge in frame.output.edges) {
-            // an edge already exists for this character
-            // no need to create a new node, just set the finality
-            // bit unless this node is already final
-            next = frame.output.edges[nEdge]
-            next.final = next.final || final
-
-          } else {
-            // no edge exists yet, must create one
-            // set the finality bit and insert it
-            // into the output
-            next = new lunr.TokenSet
-            next.final = final
-            frame.output.edges[nEdge] = next
-          }
-
-          stack.push({
-            qNode: qNode,
-            output: next,
-            node: node
-          })
-        }
-      }
-    }
-  }
-
-  return output
-}
-lunr.TokenSet.Builder = function () {
-  this.previousWord = ""
-  this.root = new lunr.TokenSet
-  this.uncheckedNodes = []
-  this.minimizedNodes = {}
-}
-
-lunr.TokenSet.Builder.prototype.insert = function (word) {
-  var node,
-      commonPrefix = 0
-
-  if (word < this.previousWord) {
-    throw new Error ("Out of order word insertion")
-  }
-
-  for (var i = 0; i < word.length && i < this.previousWord.length; i++) {
-    if (word[i] != this.previousWord[i]) break
-    commonPrefix++
-  }
-
-  this.minimize(commonPrefix)
-
-  if (this.uncheckedNodes.length == 0) {
-    node = this.root
-  } else {
-    node = this.uncheckedNodes[this.uncheckedNodes.length - 1].child
-  }
-
-  for (var i = commonPrefix; i < word.length; i++) {
-    var nextNode = new lunr.TokenSet,
-        char = word[i]
-
-    node.edges[char] = nextNode
-
-    this.uncheckedNodes.push({
-      parent: node,
-      char: char,
-      child: nextNode
-    })
-
-    node = nextNode
-  }
-
-  node.final = true
-  this.previousWord = word
-}
-
-lunr.TokenSet.Builder.prototype.finish = function () {
-  this.minimize(0)
-}
-
-lunr.TokenSet.Builder.prototype.minimize = function (downTo) {
-  for (var i = this.uncheckedNodes.length - 1; i >= downTo; i--) {
-    var node = this.uncheckedNodes[i],
-        childKey = node.child.toString()
-
-    if (childKey in this.minimizedNodes) {
-      node.parent.edges[node.char] = this.minimizedNodes[childKey]
-    } else {
-      // Cache the key for this node since
-      // we know it can't change anymore
-      node.child._str = childKey
-
-      this.minimizedNodes[childKey] = node.child
-    }
-
-    this.uncheckedNodes.pop()
-  }
-}
-/*!
- * lunr.Index
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * An index contains the built index of all documents and provides a query interface
- * to the index.
- *
- * Usually instances of lunr.Index will not be created using this constructor, instead
- * lunr.Builder should be used to construct new indexes, or lunr.Index.load should be
- * used to load previously built and serialized indexes.
- *
- * @constructor
- * @param {Object} attrs - The attributes of the built search index.
- * @param {Object} attrs.invertedIndex - An index of term/field to document reference.
- * @param {Object<string, lunr.Vector>} attrs.fieldVectors - Field vectors
- * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.
- * @param {string[]} attrs.fields - The names of indexed document fields.
- * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.
- */
-lunr.Index = function (attrs) {
-  this.invertedIndex = attrs.invertedIndex
-  this.fieldVectors = attrs.fieldVectors
-  this.tokenSet = attrs.tokenSet
-  this.fields = attrs.fields
-  this.pipeline = attrs.pipeline
-}
-
-/**
- * A result contains details of a document matching a search query.
- * @typedef {Object} lunr.Index~Result
- * @property {string} ref - The reference of the document this result represents.
- * @property {number} score - A number between 0 and 1 representing how similar this document is to the query.
- * @property {lunr.MatchData} matchData - Contains metadata about this match including which term(s) caused the match.
- */
-
-/**
- * Although lunr provides the ability to create queries using lunr.Query, it also provides a simple
- * query language which itself is parsed into an instance of lunr.Query.
- *
- * For programmatically building queries it is advised to directly use lunr.Query, the query language
- * is best used for human entered text rather than program generated text.
- *
- * At its simplest queries can just be a single term, e.g. `hello`, multiple terms are also supported
- * and will be combined with OR, e.g `hello world` will match documents that contain either 'hello'
- * or 'world', though those that contain both will rank higher in the results.
- *
- * Wildcards can be included in terms to match one or more unspecified characters, these wildcards can
- * be inserted anywhere within the term, and more than one wildcard can exist in a single term. Adding
- * wildcards will increase the number of documents that will be found but can also have a negative
- * impact on query performance, especially with wildcards at the beginning of a term.
- *
- * Terms can be restricted to specific fields, e.g. `title:hello`, only documents with the term
- * hello in the title field will match this query. Using a field not present in the index will lead
- * to an error being thrown.
- *
- * Modifiers can also be added to terms, lunr supports edit distance and boost modifiers on terms. A term
- * boost will make documents matching that term score higher, e.g. `foo^5`. Edit distance is also supported
- * to provide fuzzy matching, e.g. 'hello~2' will match documents with hello with an edit distance of 2.
- * Avoid large values for edit distance to improve query performance.
- *
- * Each term also supports a presence modifier. By default a term's presence in document is optional, however
- * this can be changed to either required or prohibited. For a term's presence to be required in a document the
- * term should be prefixed with a '+', e.g. `+foo bar` is a search for documents that must contain 'foo' and
- * optionally contain 'bar'. Conversely a leading '-' sets the terms presence to prohibited, i.e. it must not
- * appear in a document, e.g. `-foo bar` is a search for documents that do not contain 'foo' but may contain 'bar'.
- *
- * To escape special characters the backslash character '\' can be used, this allows searches to include
- * characters that would normally be considered modifiers, e.g. `foo\~2` will search for a term "foo~2" instead
- * of attempting to apply a boost of 2 to the search term "foo".
- *
- * @typedef {string} lunr.Index~QueryString
- * @example <caption>Simple single term query</caption>
- * hello
- * @example <caption>Multiple term query</caption>
- * hello world
- * @example <caption>term scoped to a field</caption>
- * title:hello
- * @example <caption>term with a boost of 10</caption>
- * hello^10
- * @example <caption>term with an edit distance of 2</caption>
- * hello~2
- * @example <caption>terms with presence modifiers</caption>
- * -foo +bar baz
- */
-
-/**
- * Performs a search against the index using lunr query syntax.
- *
- * Results will be returned sorted by their score, the most relevant results
- * will be returned first.  For details on how the score is calculated, please see
- * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.
- *
- * For more programmatic querying use lunr.Index#query.
- *
- * @param {lunr.Index~QueryString} queryString - A string containing a lunr query.
- * @throws {lunr.QueryParseError} If the passed query string cannot be parsed.
- * @returns {lunr.Index~Result[]}
- */
-lunr.Index.prototype.search = function (queryString) {
-  return this.query(function (query) {
-    var parser = new lunr.QueryParser(queryString, query)
-    parser.parse()
-  })
-}
-
-/**
- * A query builder callback provides a query object to be used to express
- * the query to perform on the index.
- *
- * @callback lunr.Index~queryBuilder
- * @param {lunr.Query} query - The query object to build up.
- * @this lunr.Query
- */
-
-/**
- * Performs a query against the index using the yielded lunr.Query object.
- *
- * If performing programmatic queries against the index, this method is preferred
- * over lunr.Index#search so as to avoid the additional query parsing overhead.
- *
- * A query object is yielded to the supplied function which should be used to
- * express the query to be run against the index.
- *
- * Note that although this function takes a callback parameter it is _not_ an
- * asynchronous operation, the callback is just yielded a query object to be
- * customized.
- *
- * @param {lunr.Index~queryBuilder} fn - A function that is used to build the query.
- * @returns {lunr.Index~Result[]}
- */
-lunr.Index.prototype.query = function (fn) {
-  // for each query clause
-  // * process terms
-  // * expand terms from token set
-  // * find matching documents and metadata
-  // * get document vectors
-  // * score documents
-
-  var query = new lunr.Query(this.fields),
-      matchingFields = Object.create(null),
-      queryVectors = Object.create(null),
-      termFieldCache = Object.create(null),
-      requiredMatches = Object.create(null),
-      prohibitedMatches = Object.create(null)
-
-  /*
-   * To support field level boosts a query vector is created per
-   * field. An empty vector is eagerly created to support negated
-   * queries.
-   */
-  for (var i = 0; i < this.fields.length; i++) {
-    queryVectors[this.fields[i]] = new lunr.Vector
-  }
-
-  fn.call(query, query)
-
-  for (var i = 0; i < query.clauses.length; i++) {
-    /*
-     * Unless the pipeline has been disabled for this term, which is
-     * the case for terms with wildcards, we need to pass the clause
-     * term through the search pipeline. A pipeline returns an array
-     * of processed terms. Pipeline functions may expand the passed
-     * term, which means we may end up performing multiple index lookups
-     * for a single query term.
-     */
-    var clause = query.clauses[i],
-        terms = null,
-        clauseMatches = lunr.Set.complete
-
-    if (clause.usePipeline) {
-      terms = this.pipeline.runString(clause.term, {
-        fields: clause.fields
-      })
-    } else {
-      terms = [clause.term]
-    }
-
-    for (var m = 0; m < terms.length; m++) {
-      var term = terms[m]
-
-      /*
-       * Each term returned from the pipeline needs to use the same query
-       * clause object, e.g. the same boost and or edit distance. The
-       * simplest way to do this is to re-use the clause object but mutate
-       * its term property.
-       */
-      clause.term = term
-
-      /*
-       * From the term in the clause we create a token set which will then
-       * be used to intersect the indexes token set to get a list of terms
-       * to lookup in the inverted index
-       */
-      var termTokenSet = lunr.TokenSet.fromClause(clause),
-          expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()
-
-      /*
-       * If a term marked as required does not exist in the tokenSet it is
-       * impossible for the search to return any matches. We set all the field
-       * scoped required matches set to empty and stop examining any further
-       * clauses.
-       */
-      if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {
-        for (var k = 0; k < clause.fields.length; k++) {
-          var field = clause.fields[k]
-          requiredMatches[field] = lunr.Set.empty
-        }
-
-        break
-      }
-
-      for (var j = 0; j < expandedTerms.length; j++) {
-        /*
-         * For each term get the posting and termIndex, this is required for
-         * building the query vector.
-         */
-        var expandedTerm = expandedTerms[j],
-            posting = this.invertedIndex[expandedTerm],
-            termIndex = posting._index
-
-        for (var k = 0; k < clause.fields.length; k++) {
-          /*
-           * For each field that this query term is scoped by (by default
-           * all fields are in scope) we need to get all the document refs
-           * that have this term in that field.
-           *
-           * The posting is the entry in the invertedIndex for the matching
-           * term from above.
-           */
-          var field = clause.fields[k],
-              fieldPosting = posting[field],
-              matchingDocumentRefs = Object.keys(fieldPosting),
-              termField = expandedTerm + "/" + field,
-              matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)
-
-          /*
-           * if the presence of this term is required ensure that the matching
-           * documents are added to the set of required matches for this clause.
-           *
-           */
-          if (clause.presence == lunr.Query.presence.REQUIRED) {
-            clauseMatches = clauseMatches.union(matchingDocumentsSet)
-
-            if (requiredMatches[field] === undefined) {
-              requiredMatches[field] = lunr.Set.complete
-            }
-          }
-
-          /*
-           * if the presence of this term is prohibited ensure that the matching
-           * documents are added to the set of prohibited matches for this field,
-           * creating that set if it does not yet exist.
-           */
-          if (clause.presence == lunr.Query.presence.PROHIBITED) {
-            if (prohibitedMatches[field] === undefined) {
-              prohibitedMatches[field] = lunr.Set.empty
-            }
-
-            prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)
-
-            /*
-             * Prohibited matches should not be part of the query vector used for
-             * similarity scoring and no metadata should be extracted so we continue
-             * to the next field
-             */
-            continue
-          }
-
-          /*
-           * The query field vector is populated using the termIndex found for
-           * the term and a unit value with the appropriate boost applied.
-           * Using upsert because there could already be an entry in the vector
-           * for the term we are working with. In that case we just add the scores
-           * together.
-           */
-          queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })
-
-          /**
-           * If we've already seen this term, field combo then we've already collected
-           * the matching documents and metadata, no need to go through all that again
-           */
-          if (termFieldCache[termField]) {
-            continue
-          }
-
-          for (var l = 0; l < matchingDocumentRefs.length; l++) {
-            /*
-             * All metadata for this term/field/document triple
-             * are then extracted and collected into an instance
-             * of lunr.MatchData ready to be returned in the query
-             * results
-             */
-            var matchingDocumentRef = matchingDocumentRefs[l],
-                matchingFieldRef = new lunr.FieldRef (matchingDocumentRef, field),
-                metadata = fieldPosting[matchingDocumentRef],
-                fieldMatch
-
-            if ((fieldMatch = matchingFields[matchingFieldRef]) === undefined) {
-              matchingFields[matchingFieldRef] = new lunr.MatchData (expandedTerm, field, metadata)
-            } else {
-              fieldMatch.add(expandedTerm, field, metadata)
-            }
-
-          }
-
-          termFieldCache[termField] = true
-        }
-      }
-    }
-
-    /**
-     * If the presence was required we need to update the requiredMatches field sets.
-     * We do this after all fields for the term have collected their matches because
-     * the clause terms presence is required in _any_ of the fields not _all_ of the
-     * fields.
-     */
-    if (clause.presence === lunr.Query.presence.REQUIRED) {
-      for (var k = 0; k < clause.fields.length; k++) {
-        var field = clause.fields[k]
-        requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)
-      }
-    }
-  }
-
-  /**
-   * Need to combine the field scoped required and prohibited
-   * matching documents into a global set of required and prohibited
-   * matches
-   */
-  var allRequiredMatches = lunr.Set.complete,
-      allProhibitedMatches = lunr.Set.empty
-
-  for (var i = 0; i < this.fields.length; i++) {
-    var field = this.fields[i]
-
-    if (requiredMatches[field]) {
-      allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])
-    }
-
-    if (prohibitedMatches[field]) {
-      allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])
-    }
-  }
-
-  var matchingFieldRefs = Object.keys(matchingFields),
-      results = [],
-      matches = Object.create(null)
-
-  /*
-   * If the query is negated (contains only prohibited terms)
-   * we need to get _all_ fieldRefs currently existing in the
-   * index. This is only done when we know that the query is
-   * entirely prohibited terms to avoid any cost of getting all
-   * fieldRefs unnecessarily.
-   *
-   * Additionally, blank MatchData must be created to correctly
-   * populate the results.
-   */
-  if (query.isNegated()) {
-    matchingFieldRefs = Object.keys(this.fieldVectors)
-
-    for (var i = 0; i < matchingFieldRefs.length; i++) {
-      var matchingFieldRef = matchingFieldRefs[i]
-      var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)
-      matchingFields[matchingFieldRef] = new lunr.MatchData
-    }
-  }
-
-  for (var i = 0; i < matchingFieldRefs.length; i++) {
-    /*
-     * Currently we have document fields that match the query, but we
-     * need to return documents. The matchData and scores are combined
-     * from multiple fields belonging to the same document.
-     *
-     * Scores are calculated by field, using the query vectors created
-     * above, and combined into a final document score using addition.
-     */
-    var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),
-        docRef = fieldRef.docRef
-
-    if (!allRequiredMatches.contains(docRef)) {
-      continue
-    }
-
-    if (allProhibitedMatches.contains(docRef)) {
-      continue
-    }
-
-    var fieldVector = this.fieldVectors[fieldRef],
-        score = queryVectors[fieldRef.fieldName].similarity(fieldVector),
-        docMatch
-
-    if ((docMatch = matches[docRef]) !== undefined) {
-      docMatch.score += score
-      docMatch.matchData.combine(matchingFields[fieldRef])
-    } else {
-      var match = {
-        ref: docRef,
-        score: score,
-        matchData: matchingFields[fieldRef]
-      }
-      matches[docRef] = match
-      results.push(match)
-    }
-  }
-
-  /*
-   * Sort the results objects by score, highest first.
-   */
-  return results.sort(function (a, b) {
-    return b.score - a.score
-  })
-}
-
-/**
- * Prepares the index for JSON serialization.
- *
- * The schema for this JSON blob will be described in a
- * separate JSON schema file.
- *
- * @returns {Object}
- */
-lunr.Index.prototype.toJSON = function () {
-  var invertedIndex = Object.keys(this.invertedIndex)
-    .sort()
-    .map(function (term) {
-      return [term, this.invertedIndex[term]]
-    }, this)
-
-  var fieldVectors = Object.keys(this.fieldVectors)
-    .map(function (ref) {
-      return [ref, this.fieldVectors[ref].toJSON()]
-    }, this)
-
-  return {
-    version: lunr.version,
-    fields: this.fields,
-    fieldVectors: fieldVectors,
-    invertedIndex: invertedIndex,
-    pipeline: this.pipeline.toJSON()
-  }
-}
-
-/**
- * Loads a previously serialized lunr.Index
- *
- * @param {Object} serializedIndex - A previously serialized lunr.Index
- * @returns {lunr.Index}
- */
-lunr.Index.load = function (serializedIndex) {
-  var attrs = {},
-      fieldVectors = {},
-      serializedVectors = serializedIndex.fieldVectors,
-      invertedIndex = Object.create(null),
-      serializedInvertedIndex = serializedIndex.invertedIndex,
-      tokenSetBuilder = new lunr.TokenSet.Builder,
-      pipeline = lunr.Pipeline.load(serializedIndex.pipeline)
-
-  if (serializedIndex.version != lunr.version) {
-    lunr.utils.warn("Version mismatch when loading serialised index. Current version of lunr '" + lunr.version + "' does not match serialized index '" + serializedIndex.version + "'")
-  }
-
-  for (var i = 0; i < serializedVectors.length; i++) {
-    var tuple = serializedVectors[i],
-        ref = tuple[0],
-        elements = tuple[1]
-
-    fieldVectors[ref] = new lunr.Vector(elements)
-  }
-
-  for (var i = 0; i < serializedInvertedIndex.length; i++) {
-    var tuple = serializedInvertedIndex[i],
-        term = tuple[0],
-        posting = tuple[1]
-
-    tokenSetBuilder.insert(term)
-    invertedIndex[term] = posting
-  }
-
-  tokenSetBuilder.finish()
-
-  attrs.fields = serializedIndex.fields
-
-  attrs.fieldVectors = fieldVectors
-  attrs.invertedIndex = invertedIndex
-  attrs.tokenSet = tokenSetBuilder.root
-  attrs.pipeline = pipeline
-
-  return new lunr.Index(attrs)
-}
-/*!
- * lunr.Builder
- * Copyright (C) 2019 Oliver Nightingale
- */
-
-/**
- * lunr.Builder performs indexing on a set of documents and
- * returns instances of lunr.Index ready for querying.
- *
- * All configuration of the index is done via the builder, the
- * fields to index, the document reference, the text processing
- * pipeline and document scoring parameters are all set on the
- * builder before indexing.
- *
- * @constructor
- * @property {string} _ref - Internal reference to the document reference field.
- * @property {string[]} _fields - Internal reference to the document fields to index.
- * @property {object} invertedIndex - The inverted index maps terms to document fields.
- * @property {object} documentTermFrequencies - Keeps track of document term frequencies.
- * @property {object} documentLengths - Keeps track of the length of documents added to the index.
- * @property {lunr.tokenizer} tokenizer - Function for splitting strings into tokens for indexing.
- * @property {lunr.Pipeline} pipeline - The pipeline performs text processing on tokens before indexing.
- * @property {lunr.Pipeline} searchPipeline - A pipeline for processing search terms before querying the index.
- * @property {number} documentCount - Keeps track of the total number of documents indexed.
- * @property {number} _b - A parameter to control field length normalization, setting this to 0 disabled normalization, 1 fully normalizes field lengths, the default value is 0.75.
- * @property {number} _k1 - A parameter to control how quickly an increase in term frequency results in term frequency saturation, the default value is 1.2.
- * @property {number} termIndex - A counter incremented for each unique term, used to identify a terms position in the vector space.
- * @property {array} metadataWhitelist - A list of metadata keys that have been whitelisted for entry in the index.
- */
-lunr.Builder = function () {
-  this._ref = "id"
-  this._fields = Object.create(null)
-  this._documents = Object.create(null)
-  this.invertedIndex = Object.create(null)
-  this.fieldTermFrequencies = {}
-  this.fieldLengths = {}
-  this.tokenizer = lunr.tokenizer
-  this.pipeline = new lunr.Pipeline
-  this.searchPipeline = new lunr.Pipeline
-  this.documentCount = 0
-  this._b = 0.75
-  this._k1 = 1.2
-  this.termIndex = 0
-  this.metadataWhitelist = []
-}
-
-/**
- * Sets the document field used as the document reference. Every document must have this field.
- * The type of this field in the document should be a string, if it is not a string it will be
- * coerced into a string by calling toString.
- *
- * The default ref is 'id'.
- *
- * The ref should _not_ be changed during indexing, it should be set before any documents are
- * added to the index. Changing it during indexing can lead to inconsistent results.
- *
- * @param {string} ref - The name of the reference field in the document.
- */
-lunr.Builder.prototype.ref = function (ref) {
-  this._ref = ref
-}
-
-/**
- * A function that is used to extract a field from a document.
- *
- * Lunr expects a field to be at the top level of a document, if however the field
- * is deeply nested within a document an extractor function can be used to extract
- * the right field for indexing.
- *
- * @callback fieldExtractor
- * @param {object} doc - The document being added to the index.
- * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.
- * @example <caption>Extracting a nested field</caption>
- * function (doc) { return doc.nested.field }
- */
-
-/**
- * Adds a field to the list of document fields that will be indexed. Every document being
- * indexed should have this field. Null values for this field in indexed documents will
- * not cause errors but will limit the chance of that document being retrieved by searches.
- *
- * All fields should be added before adding documents to the index. Adding fields after
- * a document has been indexed will have no effect on already indexed documents.
- *
- * Fields can be boosted at build time. This allows terms within that field to have more
- * importance when ranking search results. Use a field boost to specify that matches within
- * one field are more important than other fields.
- *
- * @param {string} fieldName - The name of a field to index in all documents.
- * @param {object} attributes - Optional attributes associated with this field.
- * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.
- * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.
- * @throws {RangeError} fieldName cannot contain unsupported characters '/'
- */
-lunr.Builder.prototype.field = function (fieldName, attributes) {
-  if (/\//.test(fieldName)) {
-    throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'")
-  }
-
-  this._fields[fieldName] = attributes || {}
-}
-
-/**
- * A parameter to tune the amount of field length normalisation that is applied when
- * calculating relevance scores. A value of 0 will completely disable any normalisation
- * and a value of 1 will fully normalise field lengths. The default is 0.75. Values of b
- * will be clamped to the range 0 - 1.
- *
- * @param {number} number - The value to set for this tuning parameter.
- */
-lunr.Builder.prototype.b = function (number) {
-  if (number < 0) {
-    this._b = 0
-  } else if (number > 1) {
-    this._b = 1
-  } else {
-    this._b = number
-  }
-}
-
-/**
- * A parameter that controls the speed at which a rise in term frequency results in term
- * frequency saturation. The default value is 1.2. Setting this to a higher value will give
- * slower saturation levels, a lower value will result in quicker saturation.
- *
- * @param {number} number - The value to set for this tuning parameter.
- */
-lunr.Builder.prototype.k1 = function (number) {
-  this._k1 = number
-}
-
-/**
- * Adds a document to the index.
- *
- * Before adding fields to the index the index should have been fully setup, with the document
- * ref and all fields to index already having been specified.
- *
- * The document must have a field name as specified by the ref (by default this is 'id') and
- * it should have all fields defined for indexing, though null or undefined values will not
- * cause errors.
- *
- * Entire documents can be boosted at build time. Applying a boost to a document indicates that
- * this document should rank higher in search results than other documents.
- *
- * @param {object} doc - The document to add to the index.
- * @param {object} attributes - Optional attributes associated with this document.
- * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.
- */
-lunr.Builder.prototype.add = function (doc, attributes) {
-  var docRef = doc[this._ref],
-      fields = Object.keys(this._fields)
-
-  this._documents[docRef] = attributes || {}
-  this.documentCount += 1
-
-  for (var i = 0; i < fields.length; i++) {
-    var fieldName = fields[i],
-        extractor = this._fields[fieldName].extractor,
-        field = extractor ? extractor(doc) : doc[fieldName],
-        tokens = this.tokenizer(field, {
-          fields: [fieldName]
-        }),
-        terms = this.pipeline.run(tokens),
-        fieldRef = new lunr.FieldRef (docRef, fieldName),
-        fieldTerms = Object.create(null)
-
-    this.fieldTermFrequencies[fieldRef] = fieldTerms
-    this.fieldLengths[fieldRef] = 0
-
-    // store the length of this field for this document
-    this.fieldLengths[fieldRef] += terms.length
-
-    // calculate term frequencies for this field
-    for (var j = 0; j < terms.length; j++) {
-      var term = terms[j]
-
-      if (fieldTerms[term] == undefined) {
-        fieldTerms[term] = 0
-      }
-
-      fieldTerms[term] += 1
-
-      // add to inverted index
-      // create an initial posting if one doesn't exist
-      if (this.invertedIndex[term] == undefined) {
-        var posting = Object.create(null)
-        posting["_index"] = this.termIndex
-        this.termIndex += 1
-
-        for (var k = 0; k < fields.length; k++) {
-          posting[fields[k]] = Object.create(null)
-        }
-
-        this.invertedIndex[term] = posting
-      }
-
-      // add an entry for this term/fieldName/docRef to the invertedIndex
-      if (this.invertedIndex[term][fieldName][docRef] == undefined) {
-        this.invertedIndex[term][fieldName][docRef] = Object.create(null)
-      }
-
-      // store all whitelisted metadata about this token in the
-      // inverted index
-      for (var l = 0; l < this.metadataWhitelist.length; l++) {
-        var metadataKey = this.metadataWhitelist[l],
-            metadata = term.metadata[metadataKey]
-
-        if (this.invertedIndex[term][fieldName][docRef][metadataKey] == undefined) {
-          this.invertedIndex[term][fieldName][docRef][metadataKey] = []
-        }
-
-        this.invertedIndex[term][fieldName][docRef][metadataKey].push(metadata)
-      }
-    }
-
-  }
-}
-
-/**
- * Calculates the average document length for this index
- *
- * @private
- */
-lunr.Builder.prototype.calculateAverageFieldLengths = function () {
-
-  var fieldRefs = Object.keys(this.fieldLengths),
-      numberOfFields = fieldRefs.length,
-      accumulator = {},
-      documentsWithField = {}
-
-  for (var i = 0; i < numberOfFields; i++) {
-    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),
-        field = fieldRef.fieldName
-
-    documentsWithField[field] || (documentsWithField[field] = 0)
-    documentsWithField[field] += 1
-
-    accumulator[field] || (accumulator[field] = 0)
-    accumulator[field] += this.fieldLengths[fieldRef]
-  }
-
-  var fields = Object.keys(this._fields)
-
-  for (var i = 0; i < fields.length; i++) {
-    var fieldName = fields[i]
-    accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]
-  }
-
-  this.averageFieldLength = accumulator
-}
-
-/**
- * Builds a vector space model of every document using lunr.Vector
- *
- * @private
- */
-lunr.Builder.prototype.createFieldVectors = function () {
-  var fieldVectors = {},
-      fieldRefs = Object.keys(this.fieldTermFrequencies),
-      fieldRefsLength = fieldRefs.length,
-      termIdfCache = Object.create(null)
-
-  for (var i = 0; i < fieldRefsLength; i++) {
-    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),
-        fieldName = fieldRef.fieldName,
-        fieldLength = this.fieldLengths[fieldRef],
-        fieldVector = new lunr.Vector,
-        termFrequencies = this.fieldTermFrequencies[fieldRef],
-        terms = Object.keys(termFrequencies),
-        termsLength = terms.length
-
-
-    var fieldBoost = this._fields[fieldName].boost || 1,
-        docBoost = this._documents[fieldRef.docRef].boost || 1
-
-    for (var j = 0; j < termsLength; j++) {
-      var term = terms[j],
-          tf = termFrequencies[term],
-          termIndex = this.invertedIndex[term]._index,
-          idf, score, scoreWithPrecision
-
-      if (termIdfCache[term] === undefined) {
-        idf = lunr.idf(this.invertedIndex[term], this.documentCount)
-        termIdfCache[term] = idf
-      } else {
-        idf = termIdfCache[term]
-      }
-
-      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)
-      score *= fieldBoost
-      score *= docBoost
-      scoreWithPrecision = Math.round(score * 1000) / 1000
-      // Converts 1.23456789 to 1.234.
-      // Reducing the precision so that the vectors take up less
-      // space when serialised. Doing it now so that they behave
-      // the same before and after serialisation. Also, this is
-      // the fastest approach to reducing a number's precision in
-      // JavaScript.
-
-      fieldVector.insert(termIndex, scoreWithPrecision)
-    }
-
-    fieldVectors[fieldRef] = fieldVector
-  }
-
-  this.fieldVectors = fieldVectors
-}
-
-/**
- * Creates a token set of all tokens in the index using lunr.TokenSet
- *
- * @private
- */
-lunr.Builder.prototype.createTokenSet = function () {
-  this.tokenSet = lunr.TokenSet.fromArray(
-    Object.keys(this.invertedIndex).sort()
-  )
-}
-
-/**
- * Builds the index, creating an instance of lunr.Index.
- *
- * This completes the indexing process and should only be called
- * once all documents have been added to the index.
- *
- * @returns {lunr.Index}
- */
-lunr.Builder.prototype.build = function () {
-  this.calculateAverageFieldLengths()
-  this.createFieldVectors()
-  this.createTokenSet()
-
-  return new lunr.Index({
-    invertedIndex: this.invertedIndex,
-    fieldVectors: this.fieldVectors,
-    tokenSet: this.tokenSet,
-    fields: Object.keys(this._fields),
-    pipeline: this.searchPipeline
-  })
-}
-
-/**
- * Applies a plugin to the index builder.
- *
- * A plugin is a function that is called with the index builder as its context.
- * Plugins can be used to customise or extend the behaviour of the index
- * in some way. A plugin is just a function, that encapsulated the custom
- * behaviour that should be applied when building the index.
- *
- * The plugin function will be called with the index builder as its argument, additional
- * arguments can also be passed when calling use. The function will be called
- * with the index builder as its context.
- *
- * @param {Function} plugin The plugin to apply.
- */
-lunr.Builder.prototype.use = function (fn) {
-  var args = Array.prototype.slice.call(arguments, 1)
-  args.unshift(this)
-  fn.apply(this, args)
-}
-/**
- * Contains and collects metadata about a matching document.
- * A single instance of lunr.MatchData is returned as part of every
- * lunr.Index~Result.
- *
- * @constructor
- * @param {string} term - The term this match data is associated with
- * @param {string} field - The field in which the term was found
- * @param {object} metadata - The metadata recorded about this term in this field
- * @property {object} metadata - A cloned collection of metadata associated with this document.
- * @see {@link lunr.Index~Result}
- */
-lunr.MatchData = function (term, field, metadata) {
-  var clonedMetadata = Object.create(null),
-      metadataKeys = Object.keys(metadata || {})
-
-  // Cloning the metadata to prevent the original
-  // being mutated during match data combination.
-  // Metadata is kept in an array within the inverted
-  // index so cloning the data can be done with
-  // Array#slice
-  for (var i = 0; i < metadataKeys.length; i++) {
-    var key = metadataKeys[i]
-    clonedMetadata[key] = metadata[key].slice()
-  }
-
-  this.metadata = Object.create(null)
-
-  if (term !== undefined) {
-    this.metadata[term] = Object.create(null)
-    this.metadata[term][field] = clonedMetadata
-  }
-}
-
-/**
- * An instance of lunr.MatchData will be created for every term that matches a
- * document. However only one instance is required in a lunr.Index~Result. This
- * method combines metadata from another instance of lunr.MatchData with this
- * objects metadata.
- *
- * @param {lunr.MatchData} otherMatchData - Another instance of match data to merge with this one.
- * @see {@link lunr.Index~Result}
- */
-lunr.MatchData.prototype.combine = function (otherMatchData) {
-  var terms = Object.keys(otherMatchData.metadata)
-
-  for (var i = 0; i < terms.length; i++) {
-    var term = terms[i],
-        fields = Object.keys(otherMatchData.metadata[term])
-
-    if (this.metadata[term] == undefined) {
-      this.metadata[term] = Object.create(null)
-    }
-
-    for (var j = 0; j < fields.length; j++) {
-      var field = fields[j],
-          keys = Object.keys(otherMatchData.metadata[term][field])
-
-      if (this.metadata[term][field] == undefined) {
-        this.metadata[term][field] = Object.create(null)
-      }
-
-      for (var k = 0; k < keys.length; k++) {
-        var key = keys[k]
-
-        if (this.metadata[term][field][key] == undefined) {
-          this.metadata[term][field][key] = otherMatchData.metadata[term][field][key]
-        } else {
-          this.metadata[term][field][key] = this.metadata[term][field][key].concat(otherMatchData.metadata[term][field][key])
-        }
-
-      }
-    }
-  }
-}
-
-/**
- * Add metadata for a term/field pair to this instance of match data.
- *
- * @param {string} term - The term this match data is associated with
- * @param {string} field - The field in which the term was found
- * @param {object} metadata - The metadata recorded about this term in this field
- */
-lunr.MatchData.prototype.add = function (term, field, metadata) {
-  if (!(term in this.metadata)) {
-    this.metadata[term] = Object.create(null)
-    this.metadata[term][field] = metadata
-    return
-  }
-
-  if (!(field in this.metadata[term])) {
-    this.metadata[term][field] = metadata
-    return
-  }
-
-  var metadataKeys = Object.keys(metadata)
-
-  for (var i = 0; i < metadataKeys.length; i++) {
-    var key = metadataKeys[i]
-
-    if (key in this.metadata[term][field]) {
-      this.metadata[term][field][key] = this.metadata[term][field][key].concat(metadata[key])
-    } else {
-      this.metadata[term][field][key] = metadata[key]
-    }
-  }
-}
-/**
- * A lunr.Query provides a programmatic way of defining queries to be performed
- * against a {@link lunr.Index}.
- *
- * Prefer constructing a lunr.Query using the {@link lunr.Index#query} method
- * so the query object is pre-initialized with the right index fields.
- *
- * @constructor
- * @property {lunr.Query~Clause[]} clauses - An array of query clauses.
- * @property {string[]} allFields - An array of all available fields in a lunr.Index.
- */
-lunr.Query = function (allFields) {
-  this.clauses = []
-  this.allFields = allFields
-}
-
-/**
- * Constants for indicating what kind of automatic wildcard insertion will be used when constructing a query clause.
- *
- * This allows wildcards to be added to the beginning and end of a term without having to manually do any string
- * concatenation.
- *
- * The wildcard constants can be bitwise combined to select both leading and trailing wildcards.
- *
- * @constant
- * @default
- * @property {number} wildcard.NONE - The term will have no wildcards inserted, this is the default behaviour
- * @property {number} wildcard.LEADING - Prepend the term with a wildcard, unless a leading wildcard already exists
- * @property {number} wildcard.TRAILING - Append a wildcard to the term, unless a trailing wildcard already exists
- * @see lunr.Query~Clause
- * @see lunr.Query#clause
- * @see lunr.Query#term
- * @example <caption>query term with trailing wildcard</caption>
- * query.term('foo', { wildcard: lunr.Query.wildcard.TRAILING })
- * @example <caption>query term with leading and trailing wildcard</caption>
- * query.term('foo', {
- *   wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING
- * })
- */
-
-lunr.Query.wildcard = new String ("*")
-lunr.Query.wildcard.NONE = 0
-lunr.Query.wildcard.LEADING = 1
-lunr.Query.wildcard.TRAILING = 2
-
-/**
- * Constants for indicating what kind of presence a term must have in matching documents.
- *
- * @constant
- * @enum {number}
- * @see lunr.Query~Clause
- * @see lunr.Query#clause
- * @see lunr.Query#term
- * @example <caption>query term with required presence</caption>
- * query.term('foo', { presence: lunr.Query.presence.REQUIRED })
- */
-lunr.Query.presence = {
-  /**
-   * Term's presence in a document is optional, this is the default value.
-   */
-  OPTIONAL: 1,
-
-  /**
-   * Term's presence in a document is required, documents that do not contain
-   * this term will not be returned.
-   */
-  REQUIRED: 2,
-
-  /**
-   * Term's presence in a document is prohibited, documents that do contain
-   * this term will not be returned.
-   */
-  PROHIBITED: 3
-}
-
-/**
- * A single clause in a {@link lunr.Query} contains a term and details on how to
- * match that term against a {@link lunr.Index}.
- *
- * @typedef {Object} lunr.Query~Clause
- * @property {string[]} fields - The fields in an index this clause should be matched against.
- * @property {number} [boost=1] - Any boost that should be applied when matching this clause.
- * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.
- * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.
- * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.
- * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.
- */
-
-/**
- * Adds a {@link lunr.Query~Clause} to this query.
- *
- * Unless the clause contains the fields to be matched all fields will be matched. In addition
- * a default boost of 1 is applied to the clause.
- *
- * @param {lunr.Query~Clause} clause - The clause to add to this query.
- * @see lunr.Query~Clause
- * @returns {lunr.Query}
- */
-lunr.Query.prototype.clause = function (clause) {
-  if (!('fields' in clause)) {
-    clause.fields = this.allFields
-  }
-
-  if (!('boost' in clause)) {
-    clause.boost = 1
-  }
-
-  if (!('usePipeline' in clause)) {
-    clause.usePipeline = true
-  }
-
-  if (!('wildcard' in clause)) {
-    clause.wildcard = lunr.Query.wildcard.NONE
-  }
-
-  if ((clause.wildcard & lunr.Query.wildcard.LEADING) && (clause.term.charAt(0) != lunr.Query.wildcard)) {
-    clause.term = "*" + clause.term
-  }
-
-  if ((clause.wildcard & lunr.Query.wildcard.TRAILING) && (clause.term.slice(-1) != lunr.Query.wildcard)) {
-    clause.term = "" + clause.term + "*"
-  }
-
-  if (!('presence' in clause)) {
-    clause.presence = lunr.Query.presence.OPTIONAL
-  }
-
-  this.clauses.push(clause)
-
-  return this
-}
-
-/**
- * A negated query is one in which every clause has a presence of
- * prohibited. These queries require some special processing to return
- * the expected results.
- *
- * @returns boolean
- */
-lunr.Query.prototype.isNegated = function () {
-  for (var i = 0; i < this.clauses.length; i++) {
-    if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {
-      return false
-    }
-  }
-
-  return true
-}
-
-/**
- * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}
- * to the list of clauses that make up this query.
- *
- * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion
- * to a token or token-like string should be done before calling this method.
- *
- * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an
- * array, each term in the array will share the same options.
- *
- * @param {object|object[]} term - The term(s) to add to the query.
- * @param {object} [options] - Any additional properties to add to the query clause.
- * @returns {lunr.Query}
- * @see lunr.Query#clause
- * @see lunr.Query~Clause
- * @example <caption>adding a single term to a query</caption>
- * query.term("foo")
- * @example <caption>adding a single term to a query and specifying search fields, term boost and automatic trailing wildcard</caption>
- * query.term("foo", {
- *   fields: ["title"],
- *   boost: 10,
- *   wildcard: lunr.Query.wildcard.TRAILING
- * })
- * @example <caption>using lunr.tokenizer to convert a string to tokens before using them as terms</caption>
- * query.term(lunr.tokenizer("foo bar"))
- */
-lunr.Query.prototype.term = function (term, options) {
-  if (Array.isArray(term)) {
-    term.forEach(function (t) { this.term(t, lunr.utils.clone(options)) }, this)
-    return this
-  }
-
-  var clause = options || {}
-  clause.term = term.toString()
-
-  this.clause(clause)
-
-  return this
-}
-lunr.QueryParseError = function (message, start, end) {
-  this.name = "QueryParseError"
-  this.message = message
-  this.start = start
-  this.end = end
-}
-
-lunr.QueryParseError.prototype = new Error
-lunr.QueryLexer = function (str) {
-  this.lexemes = []
-  this.str = str
-  this.length = str.length
-  this.pos = 0
-  this.start = 0
-  this.escapeCharPositions = []
-}
-
-lunr.QueryLexer.prototype.run = function () {
-  var state = lunr.QueryLexer.lexText
-
-  while (state) {
-    state = state(this)
-  }
-}
-
-lunr.QueryLexer.prototype.sliceString = function () {
-  var subSlices = [],
-      sliceStart = this.start,
-      sliceEnd = this.pos
-
-  for (var i = 0; i < this.escapeCharPositions.length; i++) {
-    sliceEnd = this.escapeCharPositions[i]
-    subSlices.push(this.str.slice(sliceStart, sliceEnd))
-    sliceStart = sliceEnd + 1
-  }
-
-  subSlices.push(this.str.slice(sliceStart, this.pos))
-  this.escapeCharPositions.length = 0
-
-  return subSlices.join('')
-}
-
-lunr.QueryLexer.prototype.emit = function (type) {
-  this.lexemes.push({
-    type: type,
-    str: this.sliceString(),
-    start: this.start,
-    end: this.pos
-  })
-
-  this.start = this.pos
-}
-
-lunr.QueryLexer.prototype.escapeCharacter = function () {
-  this.escapeCharPositions.push(this.pos - 1)
-  this.pos += 1
-}
-
-lunr.QueryLexer.prototype.next = function () {
-  if (this.pos >= this.length) {
-    return lunr.QueryLexer.EOS
-  }
-
-  var char = this.str.charAt(this.pos)
-  this.pos += 1
-  return char
-}
-
-lunr.QueryLexer.prototype.width = function () {
-  return this.pos - this.start
-}
-
-lunr.QueryLexer.prototype.ignore = function () {
-  if (this.start == this.pos) {
-    this.pos += 1
-  }
-
-  this.start = this.pos
-}
-
-lunr.QueryLexer.prototype.backup = function () {
-  this.pos -= 1
-}
-
-lunr.QueryLexer.prototype.acceptDigitRun = function () {
-  var char, charCode
-
-  do {
-    char = this.next()
-    charCode = char.charCodeAt(0)
-  } while (charCode > 47 && charCode < 58)
-
-  if (char != lunr.QueryLexer.EOS) {
-    this.backup()
-  }
-}
-
-lunr.QueryLexer.prototype.more = function () {
-  return this.pos < this.length
-}
-
-lunr.QueryLexer.EOS = 'EOS'
-lunr.QueryLexer.FIELD = 'FIELD'
-lunr.QueryLexer.TERM = 'TERM'
-lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'
-lunr.QueryLexer.BOOST = 'BOOST'
-lunr.QueryLexer.PRESENCE = 'PRESENCE'
-
-lunr.QueryLexer.lexField = function (lexer) {
-  lexer.backup()
-  lexer.emit(lunr.QueryLexer.FIELD)
-  lexer.ignore()
-  return lunr.QueryLexer.lexText
-}
-
-lunr.QueryLexer.lexTerm = function (lexer) {
-  if (lexer.width() > 1) {
-    lexer.backup()
-    lexer.emit(lunr.QueryLexer.TERM)
-  }
-
-  lexer.ignore()
-
-  if (lexer.more()) {
-    return lunr.QueryLexer.lexText
-  }
-}
-
-lunr.QueryLexer.lexEditDistance = function (lexer) {
-  lexer.ignore()
-  lexer.acceptDigitRun()
-  lexer.emit(lunr.QueryLexer.EDIT_DISTANCE)
-  return lunr.QueryLexer.lexText
-}
-
-lunr.QueryLexer.lexBoost = function (lexer) {
-  lexer.ignore()
-  lexer.acceptDigitRun()
-  lexer.emit(lunr.QueryLexer.BOOST)
-  return lunr.QueryLexer.lexText
-}
-
-lunr.QueryLexer.lexEOS = function (lexer) {
-  if (lexer.width() > 0) {
-    lexer.emit(lunr.QueryLexer.TERM)
-  }
-}
-
-// This matches the separator used when tokenising fields
-// within a document. These should match otherwise it is
-// not possible to search for some tokens within a document.
-//
-// It is possible for the user to change the separator on the
-// tokenizer so it _might_ clash with any other of the special
-// characters already used within the search string, e.g. :.
-//
-// This means that it is possible to change the separator in
-// such a way that makes some words unsearchable using a search
-// string.
-lunr.QueryLexer.termSeparator = lunr.tokenizer.separator
-
-lunr.QueryLexer.lexText = function (lexer) {
-  while (true) {
-    var char = lexer.next()
-
-    if (char == lunr.QueryLexer.EOS) {
-      return lunr.QueryLexer.lexEOS
-    }
-
-    // Escape character is '\'
-    if (char.charCodeAt(0) == 92) {
-      lexer.escapeCharacter()
-      continue
-    }
-
-    if (char == ":") {
-      return lunr.QueryLexer.lexField
-    }
-
-    if (char == "~") {
-      lexer.backup()
-      if (lexer.width() > 0) {
-        lexer.emit(lunr.QueryLexer.TERM)
-      }
-      return lunr.QueryLexer.lexEditDistance
-    }
-
-    if (char == "^") {
-      lexer.backup()
-      if (lexer.width() > 0) {
-        lexer.emit(lunr.QueryLexer.TERM)
-      }
-      return lunr.QueryLexer.lexBoost
-    }
-
-    // "+" indicates term presence is required
-    // checking for length to ensure that only
-    // leading "+" are considered
-    if (char == "+" && lexer.width() === 1) {
-      lexer.emit(lunr.QueryLexer.PRESENCE)
-      return lunr.QueryLexer.lexText
-    }
-
-    // "-" indicates term presence is prohibited
-    // checking for length to ensure that only
-    // leading "-" are considered
-    if (char == "-" && lexer.width() === 1) {
-      lexer.emit(lunr.QueryLexer.PRESENCE)
-      return lunr.QueryLexer.lexText
-    }
-
-    if (char.match(lunr.QueryLexer.termSeparator)) {
-      return lunr.QueryLexer.lexTerm
-    }
-  }
-}
-
-lunr.QueryParser = function (str, query) {
-  this.lexer = new lunr.QueryLexer (str)
-  this.query = query
-  this.currentClause = {}
-  this.lexemeIdx = 0
-}
-
-lunr.QueryParser.prototype.parse = function () {
-  this.lexer.run()
-  this.lexemes = this.lexer.lexemes
-
-  var state = lunr.QueryParser.parseClause
-
-  while (state) {
-    state = state(this)
-  }
-
-  return this.query
-}
-
-lunr.QueryParser.prototype.peekLexeme = function () {
-  return this.lexemes[this.lexemeIdx]
-}
-
-lunr.QueryParser.prototype.consumeLexeme = function () {
-  var lexeme = this.peekLexeme()
-  this.lexemeIdx += 1
-  return lexeme
-}
-
-lunr.QueryParser.prototype.nextClause = function () {
-  var completedClause = this.currentClause
-  this.query.clause(completedClause)
-  this.currentClause = {}
-}
-
-lunr.QueryParser.parseClause = function (parser) {
-  var lexeme = parser.peekLexeme()
-
-  if (lexeme == undefined) {
-    return
-  }
-
-  switch (lexeme.type) {
-    case lunr.QueryLexer.PRESENCE:
-      return lunr.QueryParser.parsePresence
-    case lunr.QueryLexer.FIELD:
-      return lunr.QueryParser.parseField
-    case lunr.QueryLexer.TERM:
-      return lunr.QueryParser.parseTerm
-    default:
-      var errorMessage = "expected either a field or a term, found " + lexeme.type
-
-      if (lexeme.str.length >= 1) {
-        errorMessage += " with value '" + lexeme.str + "'"
-      }
-
-      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
-  }
-}
-
-lunr.QueryParser.parsePresence = function (parser) {
-  var lexeme = parser.consumeLexeme()
-
-  if (lexeme == undefined) {
-    return
-  }
-
-  switch (lexeme.str) {
-    case "-":
-      parser.currentClause.presence = lunr.Query.presence.PROHIBITED
-      break
-    case "+":
-      parser.currentClause.presence = lunr.Query.presence.REQUIRED
-      break
-    default:
-      var errorMessage = "unrecognised presence operator'" + lexeme.str + "'"
-      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
-  }
-
-  var nextLexeme = parser.peekLexeme()
-
-  if (nextLexeme == undefined) {
-    var errorMessage = "expecting term or field, found nothing"
-    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
-  }
-
-  switch (nextLexeme.type) {
-    case lunr.QueryLexer.FIELD:
-      return lunr.QueryParser.parseField
-    case lunr.QueryLexer.TERM:
-      return lunr.QueryParser.parseTerm
-    default:
-      var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'"
-      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
-  }
-}
-
-lunr.QueryParser.parseField = function (parser) {
-  var lexeme = parser.consumeLexeme()
-
-  if (lexeme == undefined) {
-    return
-  }
-
-  if (parser.query.allFields.indexOf(lexeme.str) == -1) {
-    var possibleFields = parser.query.allFields.map(function (f) { return "'" + f + "'" }).join(', '),
-        errorMessage = "unrecognised field '" + lexeme.str + "', possible fields: " + possibleFields
-
-    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
-  }
-
-  parser.currentClause.fields = [lexeme.str]
-
-  var nextLexeme = parser.peekLexeme()
-
-  if (nextLexeme == undefined) {
-    var errorMessage = "expecting term, found nothing"
-    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
-  }
-
-  switch (nextLexeme.type) {
-    case lunr.QueryLexer.TERM:
-      return lunr.QueryParser.parseTerm
-    default:
-      var errorMessage = "expecting term, found '" + nextLexeme.type + "'"
-      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
-  }
-}
-
-lunr.QueryParser.parseTerm = function (parser) {
-  var lexeme = parser.consumeLexeme()
-
-  if (lexeme == undefined) {
-    return
-  }
-
-  parser.currentClause.term = lexeme.str.toLowerCase()
-
-  if (lexeme.str.indexOf("*") != -1) {
-    parser.currentClause.usePipeline = false
-  }
-
-  var nextLexeme = parser.peekLexeme()
-
-  if (nextLexeme == undefined) {
-    parser.nextClause()
-    return
-  }
-
-  switch (nextLexeme.type) {
-    case lunr.QueryLexer.TERM:
-      parser.nextClause()
-      return lunr.QueryParser.parseTerm
-    case lunr.QueryLexer.FIELD:
-      parser.nextClause()
-      return lunr.QueryParser.parseField
-    case lunr.QueryLexer.EDIT_DISTANCE:
-      return lunr.QueryParser.parseEditDistance
-    case lunr.QueryLexer.BOOST:
-      return lunr.QueryParser.parseBoost
-    case lunr.QueryLexer.PRESENCE:
-      parser.nextClause()
-      return lunr.QueryParser.parsePresence
-    default:
-      var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
-      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
-  }
-}
-
-lunr.QueryParser.parseEditDistance = function (parser) {
-  var lexeme = parser.consumeLexeme()
-
-  if (lexeme == undefined) {
-    return
-  }
-
-  var editDistance = parseInt(lexeme.str, 10)
-
-  if (isNaN(editDistance)) {
-    var errorMessage = "edit distance must be numeric"
-    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
-  }
-
-  parser.currentClause.editDistance = editDistance
-
-  var nextLexeme = parser.peekLexeme()
-
-  if (nextLexeme == undefined) {
-    parser.nextClause()
-    return
-  }
-
-  switch (nextLexeme.type) {
-    case lunr.QueryLexer.TERM:
-      parser.nextClause()
-      return lunr.QueryParser.parseTerm
-    case lunr.QueryLexer.FIELD:
-      parser.nextClause()
-      return lunr.QueryParser.parseField
-    case lunr.QueryLexer.EDIT_DISTANCE:
-      return lunr.QueryParser.parseEditDistance
-    case lunr.QueryLexer.BOOST:
-      return lunr.QueryParser.parseBoost
-    case lunr.QueryLexer.PRESENCE:
-      parser.nextClause()
-      return lunr.QueryParser.parsePresence
-    default:
-      var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
-      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
-  }
-}
-
-lunr.QueryParser.parseBoost = function (parser) {
-  var lexeme = parser.consumeLexeme()
-
-  if (lexeme == undefined) {
-    return
-  }
-
-  var boost = parseInt(lexeme.str, 10)
-
-  if (isNaN(boost)) {
-    var errorMessage = "boost must be numeric"
-    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
-  }
-
-  parser.currentClause.boost = boost
-
-  var nextLexeme = parser.peekLexeme()
-
-  if (nextLexeme == undefined) {
-    parser.nextClause()
-    return
-  }
-
-  switch (nextLexeme.type) {
-    case lunr.QueryLexer.TERM:
-      parser.nextClause()
-      return lunr.QueryParser.parseTerm
-    case lunr.QueryLexer.FIELD:
-      parser.nextClause()
-      return lunr.QueryParser.parseField
-    case lunr.QueryLexer.EDIT_DISTANCE:
-      return lunr.QueryParser.parseEditDistance
-    case lunr.QueryLexer.BOOST:
-      return lunr.QueryParser.parseBoost
-    case lunr.QueryLexer.PRESENCE:
-      parser.nextClause()
-      return lunr.QueryParser.parsePresence
-    default:
-      var errorMessage = "Unexpected lexeme type '" + nextLexeme.type + "'"
-      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
-  }
-}
-
-  /**
-   * export the module via AMD, CommonJS or as a browser global
-   * Export code from https://github.com/umdjs/umd/blob/master/returnExports.js
-   */
-  ;(function (root, factory) {
-    if (typeof define === 'function' && define.amd) {
-      // AMD. Register as an anonymous module.
-      define(factory)
-    } else if (typeof exports === 'object') {
-      /**
-       * Node. Does not work with strict CommonJS, but
-       * only CommonJS-like enviroments that support module.exports,
-       * like Node.
-       */
-      module.exports = factory()
-    } else {
-      // Browser globals (root is window)
-      root.lunr = factory()
-    }
-  }(this, function () {
-    /**
-     * Just return a value to define the module export.
-     * This example returns an object, but the module
-     * can return a function as the exported value.
-     */
-    return lunr
-  }))
-})();
diff --git a/public/js/posts.lunr.js b/public/js/posts.lunr.js
deleted file mode 100644
index bea1216..0000000
--- a/public/js/posts.lunr.js
+++ /dev/null
@@ -1,23 +0,0 @@
-let documents = [{
-    "name": "Lunr",
-    "text": "Like Solr, but much smaller, and not as bright."
-}, {
-    "name": "React",
-    "text": "A JavaScript library for building user interfaces."
-}, {
-    "name": "Lodash",
-    "text": "A modern JavaScript utility library delivering modularity, performance & extras."
-}];
-
-function search() {
-    let searchIndex = lunr(function() {
-        this.ref("name")
-        this.field("text")
-
-        documents.forEach(function(doc) {
-            this.add(doc)
-        }, this)
-    });
-
-    return searchIndex.search("bright");
-}