~xdavidwu/xdavidwu.link

84602754e5f725c5a3b8c86a2222d721f740ed59 — Michael Rose 5 years ago 7757302 + 9858a4d
Merge branch 'master' of https://github.com/mmistakes/minimal-mistakes
7 files changed, 625 insertions(+), 156 deletions(-)

M CHANGELOG.md
A LICENSE
D LICENSE.txt
M README.md
M assets/js/lunr/lunr-store.js
M assets/js/lunr/lunr.js
M assets/js/lunr/lunr.min.js
M CHANGELOG.md => CHANGELOG.md +2 -0
@@ 2,6 2,7 @@

### Enhancements

- Update Lunr to `2.3.3`. [#1885](https://github.com/mmistakes/minimal-mistakes/pull/1885)
- Cache "static" includes to improve build performance. **Note:** The theme uses the [jekyll-include-cache](https://github.com/benbalter/jekyll-include-cache) plugin which will need to be installed in your `Gemfile` and added to the `plugins` array of `_config.yml`. Otherwise you'll throw `Unknown tag 'include_cached'` errors at build. [#1874](https://github.com/mmistakes/minimal-mistakes/pull/1874)
- Make entire feature and archive items "clickable". [#1864](https://github.com/mmistakes/minimal-mistakes/pull/1864)
- Allow custom Staticman endpoints. [#1842](https://github.com/mmistakes/minimal-mistakes/issues/1842)


@@ 13,6 14,7 @@

### Bug Fixes

- Fix Lunr search index merging words. [#1883](https://github.com/mmistakes/minimal-mistakes/issues/1883)
- Properly apply `relative_url` filter to internal links in header overlay `actions` array.

## [4.13.0](https://github.com/mmistakes/minimal-mistakes/releases/tag/4.13.0)

A LICENSE => LICENSE +21 -0
@@ 0,0 1,21 @@
The MIT License (MIT)

Copyright (c) 2013-2018 Michael Rose and contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
\ No newline at end of file

D LICENSE.txt => LICENSE.txt +0 -63
@@ 1,63 0,0 @@
The MIT License (MIT)

Copyright (c) 2013-2018 Michael Rose and contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Minimal Mistakes incorporates icons from [The Noun Project](https://thenounproject.com/)
creators Garrett Knoll, Arthur Shlain, and Tracy Tam.
Icons are distributed under Creative Commons Attribution 3.0 United States (CC BY 3.0 US).

Minimal Mistakes incorporates [Font Awesome](http://fontawesome.io/),
Copyright (c) 2017 Dave Gandy.
Font Awesome is distributed under the terms of the [SIL OFL 1.1](http://scripts.sil.org/OFL)
and [MIT License](http://opensource.org/licenses/MIT).

Minimal Mistakes incorporates photographs from [Unsplash](https://unsplash.com).

Minimal Mistakes incorporates [Susy](http://susy.oddbird.net/),
Copyright (c) 2017, Miriam Eric Suzanne.
Susy is distributed under the terms of the [BSD 3-clause "New" or "Revised" License](https://opensource.org/licenses/BSD-3-Clause).

Minimal Mistakes incorporates [Breakpoint](http://breakpoint-sass.com/).
Breakpoint is distributed under the terms of the [MIT/GPL Licenses](http://opensource.org/licenses/MIT).

Minimal Mistakes incorporates [FitVids.js](https://github.com/davatron5000/FitVids.js/),
Copyright (c) 2013 Dave Rubert and Chris Coyier.
FitVids is distributed under the terms of the [WTFPL License](http://sam.zoy.org/wtfpl/).

Minimal Mistakes incorporates [Magnific Popup](http://dimsemenov.com/plugins/magnific-popup/),
Copyright (c) 2014-2016 Dmitry Semenov, http://dimsemenov.com.
Magnific Popup is distributed under the terms of the MIT License.

Minimal Mistakes incorporates [jQuery Smooth Scroll](https://github.com/kswedberg/jquery-smooth-scroll),
Copyright (c) 2017 Karl Swedberg.
jQuery Smooth Scroll is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).

Minimal Mistakes incorporates [GreedyNav.js](https://github.com/lukejacksonn/GreedyNav),
Copyright (c) 2015 Luke Jackson.
GreedyNav.js is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).

Minimal Mistakes incorporates [Jekyll Group-By-Array](https://github.com/mushishi78/jekyll-group-by-array),
Copyright (c) 2015 Max White <mushishi78@gmail.com>.
Jekyll Group-By-Array is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).

Minimal Mistakes incorporates [Lunr](http://lunrjs.com),
Copyright (c) 2017 Oliver Nightingale.
Lunr is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).

M README.md => README.md +4 -4
@@ 5,10 5,12 @@
[![Ruby gem](https://img.shields.io/gem/v/minimal-mistakes-jekyll.svg)](https://rubygems.org/gems/minimal-mistakes-jekyll)
[![Tip Me via PayPal](https://img.shields.io/badge/PayPal-tip%20me-green.svg?logo=paypal)](https://www.paypal.me/mmistakes)

Minimal Mistakes is a flexible two-column Jekyll theme. Perfect for hosting your personal site, blog, or portfolio on GitHub or self-hosting on your own server. As the name implies --- styling is purposely minimalistic to be enhanced and customized by you :smile:.
Minimal Mistakes is a flexible two-column Jekyll theme. Perfect for hosting your personal site, blog, or portfolio on GitHub or self-hosting on your own server. As the name implies -- styling is purposely minimalistic to be enhanced and customized by you :smile:.

:sparkles: See what's new in the [CHANGELOG](CHANGELOG.md).

**Note:** The theme uses the [jekyll-include-cache](https://github.com/benbalter/jekyll-include-cache) plugin which will need to be installed in your `Gemfile` and added to the `plugins` array of `_config.yml`. Otherwise you'll throw `Unknown tag 'include_cached'` errors at build.

[![Minimal Mistakes live preview][2]][1]

[1]: https://mmistakes.github.io/minimal-mistakes/


@@ 72,8 74,6 @@ Additional sample posts are available under [posts archive][year-archive] on the

There are three ways to install the theme: as a Ruby gem (for self-hosted sites), as a Ruby gem + jekyll-remote-theme plugin (GitHub Pages hosted sites), or forking/directly copying all of the theme files into your project.

**Note:** The theme uses the [jekyll-include-cache](https://github.com/benbalter/jekyll-include-cache) plugin which will need to be installed in your `Gemfile` and added to the `plugins` array of `_config.yml`. Otherwise you'll throw `Unknown tag 'include_cached'` errors at build.

### Ruby Gem Method

1. Install the theme as a Ruby Gem by adding it to your `Gemfile` like so:


@@ 243,5 243,5 @@ Copyright (c) 2017 Vladimir Jimenez.
Pure Liquid Jekyll Table of Contents is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).

Minimal Mistakes incorporates [Lunr](http://lunrjs.com),
Copyright (c) 2017 Oliver Nightingale.
Copyright (c) 2018 Oliver Nightingale.
Lunr is distributed under the terms of the [MIT License](http://opensource.org/licenses/MIT).

M assets/js/lunr/lunr-store.js => assets/js/lunr/lunr-store.js +4 -2
@@ 18,7 18,8 @@ var store = [
        "title": {{ doc.title | jsonify }},
        "excerpt":
          {%- if site.search_full_content == true -%}
            {{ doc.content |
            {{ doc.content | newline_to_br |
              replace:"<br />", " " |
              replace:"</p>", " " |
              replace:"</h1>", " " |
              replace:"</h2>", " " |


@@ 28,7 29,8 @@ var store = [
              replace:"</h6>", " "|
            strip_html | strip_newlines | jsonify }},
          {%- else -%}
            {{ doc.content |
            {{ doc.content | newline_to_br |
              replace:"<br />", " " |
              replace:"</p>", " " |
              replace:"</h1>", " " |
              replace:"</h2>", " " |

M assets/js/lunr/lunr.js => assets/js/lunr/lunr.js +591 -84
@@ 1,6 1,6 @@
/**
 * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.1.5
 * Copyright (C) 2017 Oliver Nightingale
 * lunr - http://lunrjs.com - A bit like Solr, but much smaller and not as bright - 2.3.3
 * Copyright (C) 2018 Oliver Nightingale
 * @license MIT
 */



@@ 54,14 54,15 @@ var lunr = function (config) {
  return builder.build()
}

lunr.version = "2.1.5"
lunr.version = "2.3.3"
/*!
 * lunr.utils
 * Copyright (C) 2017 Oliver Nightingale
 * Copyright (C) 2018 Oliver Nightingale
 */

/**
 * A namespace containing utils for the rest of the lunr library
 * @namespace lunr.utils
 */
lunr.utils = {}



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


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


@@ 99,6 101,52 @@ lunr.utils.asString = function (obj) {
    return obj.toString()
  }
}

/**
 * Clones an object.
 *
 * Will create a copy of an existing object such that any mutations
 * on the copy cannot affect the original.
 *
 * Only shallow objects are supported, passing a nested object to this
 * function will cause a TypeError.
 *
 * Objects with primitives, and arrays of primitives are supported.
 *
 * @param {Object} obj The object to clone.
 * @return {Object} a clone of the passed object.
 * @throws {TypeError} when a nested object is passed.
 * @memberOf Utils
 */
lunr.utils.clone = function (obj) {
  if (obj === null || obj === undefined) {
    return obj
  }

  var clone = Object.create(null),
      keys = Object.keys(obj)

  for (var i = 0; i < keys.length; i++) {
    var key = keys[i],
        val = obj[key]

    if (Array.isArray(val)) {
      clone[key] = val.slice()
      continue
    }

    if (typeof val === 'string' ||
        typeof val === 'number' ||
        typeof val === 'boolean') {
      clone[key] = val
      continue
    }

    throw new TypeError("clone is not deep and does not support nested objects")
  }

  return clone
}
lunr.FieldRef = function (docRef, fieldName, stringValue) {
  this.docRef = docRef
  this.fieldName = fieldName


@@ 127,6 175,139 @@ lunr.FieldRef.prototype.toString = function () {

  return this._stringValue
}
/*!
 * lunr.Set
 * Copyright (C) 2018 Oliver Nightingale
 */

/**
 * A lunr set.
 *
 * @constructor
 */
lunr.Set = function (elements) {
  this.elements = Object.create(null)

  if (elements) {
    this.length = elements.length

    for (var i = 0; i < this.length; i++) {
      this.elements[elements[i]] = true
    }
  } else {
    this.length = 0
  }
}

/**
 * A complete set that contains all elements.
 *
 * @static
 * @readonly
 * @type {lunr.Set}
 */
lunr.Set.complete = {
  intersect: function (other) {
    return other
  },

  union: function (other) {
    return other
  },

  contains: function () {
    return true
  }
}

/**
 * An empty set that contains no elements.
 *
 * @static
 * @readonly
 * @type {lunr.Set}
 */
lunr.Set.empty = {
  intersect: function () {
    return this
  },

  union: function (other) {
    return other
  },

  contains: function () {
    return false
  }
}

/**
 * Returns true if this set contains the specified object.
 *
 * @param {object} object - Object whose presence in this set is to be tested.
 * @returns {boolean} - True if this set contains the specified object.
 */
lunr.Set.prototype.contains = function (object) {
  return !!this.elements[object]
}

/**
 * Returns a new set containing only the elements that are present in both
 * this set and the specified set.
 *
 * @param {lunr.Set} other - set to intersect with this set.
 * @returns {lunr.Set} a new set that is the intersection of this and the specified set.
 */

lunr.Set.prototype.intersect = function (other) {
  var a, b, elements, intersection = []

  if (other === lunr.Set.complete) {
    return this
  }

  if (other === lunr.Set.empty) {
    return other
  }

  if (this.length < other.length) {
    a = this
    b = other
  } else {
    a = other
    b = this
  }

  elements = Object.keys(a.elements)

  for (var i = 0; i < elements.length; i++) {
    var element = elements[i]
    if (element in b.elements) {
      intersection.push(element)
    }
  }

  return new lunr.Set (intersection)
}

/**
 * Returns a new set combining the elements of this and the specified set.
 *
 * @param {lunr.Set} other - set to union with this set.
 * @return {lunr.Set} a new set that is the union of this and the specified set.
 */

lunr.Set.prototype.union = function (other) {
  if (other === lunr.Set.complete) {
    return lunr.Set.complete
  }

  if (other === lunr.Set.empty) {
    return this
  }

  return new lunr.Set(Object.keys(this.elements).concat(Object.keys(other.elements)))
}
/**
 * A function to calculate the inverse document frequency for
 * a posting. This is shared between the builder and the index


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

/**


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

  if (Array.isArray(obj)) {
    return obj.map(function (t) {
      return new lunr.Token(lunr.utils.asString(t).toLowerCase())
      return new lunr.Token(
        lunr.utils.asString(t).toLowerCase(),
        lunr.utils.clone(metadata)
      )
    })
  }



@@ 246,11 435,15 @@ lunr.tokenizer = function (obj) {
    if ((char.match(lunr.tokenizer.separator) || sliceEnd == len)) {

      if (sliceLength > 0) {
        var tokenMetadata = lunr.utils.clone(metadata) || {}
        tokenMetadata["position"] = [sliceStart, sliceLength]
        tokenMetadata["index"] = tokens.length

        tokens.push(
          new lunr.Token (str.slice(sliceStart, sliceEnd), {
            position: [sliceStart, sliceLength],
            index: tokens.length
          })
          new lunr.Token (
            str.slice(sliceStart, sliceEnd),
            tokenMetadata
          )
        )
      }



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

/**


@@ 475,14 668,23 @@ lunr.Pipeline.prototype.run = function (tokens) {

  for (var i = 0; i < stackLength; i++) {
    var fn = this._stack[i]
    var memo = []

    tokens = tokens.reduce(function (memo, token, j) {
      var result = fn(token, j, tokens)
    for (var j = 0; j < tokens.length; j++) {
      var result = fn(tokens[j], j, tokens)

      if (result === void 0 || result === '') return memo
      if (result === void 0 || result === '') continue

      if (result instanceof Array) {
        for (var k = 0; k < result.length; k++) {
          memo.push(result[k])
        }
      } else {
        memo.push(result)
      }
    }

      return memo.concat(result)
    }, [])
    tokens = memo
  }

  return tokens


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

  return this.run([token]).map(function (t) {
    return t.toString()


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

/**


@@ 689,15 893,14 @@ lunr.Vector.prototype.dot = function (otherVector) {
}

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

/**


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



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


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

/**


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


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


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

/**


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

/**


@@ 1379,14 1585,13 @@ lunr.TokenSet.fromFuzzyString = function (str, editDistance) {
 */
lunr.TokenSet.fromString = function (str) {
  var node = new lunr.TokenSet,
      root = node,
      wildcardFound = false
      root = node

  /*
   * Iterates through all characters within the passed string
   * appending a node for each character.
   *
   * As soon as a wildcard character is found then a self
   * When a wildcard character is found then a self
   * referencing edge is introduced to continually match
   * any number of any characters.
   */


@@ 1395,7 1600,6 @@ lunr.TokenSet.fromString = function (str) {
        final = (i == len - 1)

    if (char == "*") {
      wildcardFound = true
      node.edges[char] = node
      node.final = final



@@ 1405,11 1609,6 @@ lunr.TokenSet.fromString = function (str) {

      node.edges[char] = next
      node = next

      // TODO: is this needed anymore?
      if (wildcardFound) {
        node.edges["*"] = root
      }
    }
  }



@@ 1436,6 1635,11 @@ lunr.TokenSet.prototype.toArray = function () {
        len = edges.length

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



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

/**


@@ 1646,7 1850,7 @@ lunr.TokenSet.Builder.prototype.minimize = function (downTo) {
 * @constructor
 * @param {Object} attrs - The attributes of the built search index.
 * @param {Object} attrs.invertedIndex - An index of term/field to document reference.
 * @param {Object<string, lunr.Vector>} attrs.documentVectors - Document vectors keyed by document reference.
 * @param {Object<string, lunr.Vector>} attrs.fieldVectors - Field vectors
 * @param {lunr.TokenSet} attrs.tokenSet - An set of all corpus tokens.
 * @param {string[]} attrs.fields - The names of indexed document fields.
 * @param {lunr.Pipeline} attrs.pipeline - The pipeline to use for search terms.


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


@@ 1707,13 1917,16 @@ lunr.Index = function (attrs) {
 * hello^10
 * @example <caption>term with an edit distance of 2</caption>
 * hello~2
 * @example <caption>terms with presence modifiers</caption>
 * -foo +bar baz
 */

/**
 * Performs a search against the index using lunr query syntax.
 *
 * Results will be returned sorted by their score, the most relevant results
 * will be returned first.
 * will be returned first.  For details on how the score is calculated, please see
 * the {@link https://lunrjs.com/guides/searching.html#scoring|guide}.
 *
 * For more programmatic querying use lunr.Index#query.
 *


@@ 1764,7 1977,18 @@ lunr.Index.prototype.query = function (fn) {
  var query = new lunr.Query(this.fields),
      matchingFields = Object.create(null),
      queryVectors = Object.create(null),
      termFieldCache = Object.create(null)
      termFieldCache = Object.create(null),
      requiredMatches = Object.create(null),
      prohibitedMatches = Object.create(null)

  /*
   * To support field level boosts a query vector is created per
   * field. An empty vector is eagerly created to support negated
   * queries.
   */
  for (var i = 0; i < this.fields.length; i++) {
    queryVectors[this.fields[i]] = new lunr.Vector
  }

  fn.call(query, query)



@@ 1778,10 2002,13 @@ lunr.Index.prototype.query = function (fn) {
     * for a single query term.
     */
    var clause = query.clauses[i],
        terms = null
        terms = null,
        clauseMatches = lunr.Set.complete

    if (clause.usePipeline) {
      terms = this.pipeline.runString(clause.term)
      terms = this.pipeline.runString(clause.term, {
        fields: clause.fields
      })
    } else {
      terms = [clause.term]
    }


@@ 1805,6 2032,21 @@ lunr.Index.prototype.query = function (fn) {
      var termTokenSet = lunr.TokenSet.fromClause(clause),
          expandedTerms = this.tokenSet.intersect(termTokenSet).toArray()

      /*
       * If a term marked as required does not exist in the tokenSet it is
       * impossible for the search to return any matches. We set all the field
       * scoped required matches set to empty and stop examining any further
       * clauses.
       */
      if (expandedTerms.length === 0 && clause.presence === lunr.Query.presence.REQUIRED) {
        for (var k = 0; k < clause.fields.length; k++) {
          var field = clause.fields[k]
          requiredMatches[field] = lunr.Set.empty
        }

        break
      }

      for (var j = 0; j < expandedTerms.length; j++) {
        /*
         * For each term get the posting and termIndex, this is required for


@@ 1826,26 2068,50 @@ lunr.Index.prototype.query = function (fn) {
          var field = clause.fields[k],
              fieldPosting = posting[field],
              matchingDocumentRefs = Object.keys(fieldPosting),
              termField = expandedTerm + "/" + field
              termField = expandedTerm + "/" + field,
              matchingDocumentsSet = new lunr.Set(matchingDocumentRefs)

          /*
           * To support field level boosts a query vector is created per
           * field. This vector is populated using the termIndex found for
           * the term and a unit value with the appropriate boost applied.
           * if the presence of this term is required ensure that the matching
           * documents are added to the set of required matches for this clause.
           *
           * If the query vector for this field does not exist yet it needs
           * to be created.
           */
          if (queryVectors[field] === undefined) {
            queryVectors[field] = new lunr.Vector
          if (clause.presence == lunr.Query.presence.REQUIRED) {
            clauseMatches = clauseMatches.union(matchingDocumentsSet)

            if (requiredMatches[field] === undefined) {
              requiredMatches[field] = lunr.Set.complete
            }
          }

          /*
           * if the presence of this term is prohibited ensure that the matching
           * documents are added to the set of prohibited matches for this field,
           * creating that set if it does not yet exist.
           */
          if (clause.presence == lunr.Query.presence.PROHIBITED) {
            if (prohibitedMatches[field] === undefined) {
              prohibitedMatches[field] = lunr.Set.empty
            }

            prohibitedMatches[field] = prohibitedMatches[field].union(matchingDocumentsSet)

            /*
             * Prohibited matches should not be part of the query vector used for
             * similarity scoring and no metadata should be extracted so we continue
             * to the next field
             */
            continue
          }

          /*
           * The query field vector is populated using the termIndex found for
           * the term and a unit value with the appropriate boost applied.
           * Using upsert because there could already be an entry in the vector
           * for the term we are working with. In that case we just add the scores
           * together.
           */
          queryVectors[field].upsert(termIndex, 1 * clause.boost, function (a, b) { return a + b })
          queryVectors[field].upsert(termIndex, clause.boost, function (a, b) { return a + b })

          /**
           * If we've already seen this term, field combo then we've already collected


@@ 1879,12 2145,65 @@ lunr.Index.prototype.query = function (fn) {
        }
      }
    }

    /**
     * If the presence was required we need to update the requiredMatches field sets.
     * We do this after all fields for the term have collected their matches because
     * the clause terms presence is required in _any_ of the fields not _all_ of the
     * fields.
     */
    if (clause.presence === lunr.Query.presence.REQUIRED) {
      for (var k = 0; k < clause.fields.length; k++) {
        var field = clause.fields[k]
        requiredMatches[field] = requiredMatches[field].intersect(clauseMatches)
      }
    }
  }

  /**
   * Need to combine the field scoped required and prohibited
   * matching documents into a global set of required and prohibited
   * matches
   */
  var allRequiredMatches = lunr.Set.complete,
      allProhibitedMatches = lunr.Set.empty

  for (var i = 0; i < this.fields.length; i++) {
    var field = this.fields[i]

    if (requiredMatches[field]) {
      allRequiredMatches = allRequiredMatches.intersect(requiredMatches[field])
    }

    if (prohibitedMatches[field]) {
      allProhibitedMatches = allProhibitedMatches.union(prohibitedMatches[field])
    }
  }

  var matchingFieldRefs = Object.keys(matchingFields),
      results = [],
      matches = Object.create(null)

  /*
   * If the query is negated (contains only prohibited terms)
   * we need to get _all_ fieldRefs currently existing in the
   * index. This is only done when we know that the query is
   * entirely prohibited terms to avoid any cost of getting all
   * fieldRefs unnecessarily.
   *
   * Additionally, blank MatchData must be created to correctly
   * populate the results.
   */
  if (query.isNegated()) {
    matchingFieldRefs = Object.keys(this.fieldVectors)

    for (var i = 0; i < matchingFieldRefs.length; i++) {
      var matchingFieldRef = matchingFieldRefs[i]
      var fieldRef = lunr.FieldRef.fromString(matchingFieldRef)
      matchingFields[matchingFieldRef] = new lunr.MatchData
    }
  }

  for (var i = 0; i < matchingFieldRefs.length; i++) {
    /*
     * Currently we have document fields that match the query, but we


@@ 1895,8 2214,17 @@ lunr.Index.prototype.query = function (fn) {
     * above, and combined into a final document score using addition.
     */
    var fieldRef = lunr.FieldRef.fromString(matchingFieldRefs[i]),
        docRef = fieldRef.docRef,
        fieldVector = this.fieldVectors[fieldRef],
        docRef = fieldRef.docRef

    if (!allRequiredMatches.contains(docRef)) {
      continue
    }

    if (allProhibitedMatches.contains(docRef)) {
      continue
    }

    var fieldVector = this.fieldVectors[fieldRef],
        score = queryVectors[fieldRef.fieldName].similarity(fieldVector),
        docMatch



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

/**


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


@@ 2060,6 2389,20 @@ lunr.Builder.prototype.ref = function (ref) {
}

/**
 * A function that is used to extract a field from a document.
 *
 * Lunr expects a field to be at the top level of a document, if however the field
 * is deeply nested within a document an extractor function can be used to extract
 * the right field for indexing.
 *
 * @callback fieldExtractor
 * @param {object} doc - The document being added to the index.
 * @returns {?(string|object|object[])} obj - The object that will be indexed for this field.
 * @example <caption>Extracting a nested field</caption>
 * function (doc) { return doc.nested.field }
 */

/**
 * Adds a field to the list of document fields that will be indexed. Every document being
 * indexed should have this field. Null values for this field in indexed documents will
 * not cause errors but will limit the chance of that document being retrieved by searches.


@@ 2067,10 2410,22 @@ lunr.Builder.prototype.ref = function (ref) {
 * All fields should be added before adding documents to the index. Adding fields after
 * a document has been indexed will have no effect on already indexed documents.
 *
 * @param {string} field - The name of a field to index in all documents.
 * Fields can be boosted at build time. This allows terms within that field to have more
 * importance when ranking search results. Use a field boost to specify that matches within
 * one field are more important than other fields.
 *
 * @param {string} fieldName - The name of a field to index in all documents.
 * @param {object} attributes - Optional attributes associated with this field.
 * @param {number} [attributes.boost=1] - Boost applied to all terms within this field.
 * @param {fieldExtractor} [attributes.extractor] - Function to extract a field from a document.
 * @throws {RangeError} fieldName cannot contain unsupported characters '/'
 */
lunr.Builder.prototype.field = function (field) {
  this._fields.push(field)
lunr.Builder.prototype.field = function (fieldName, attributes) {
  if (/\//.test(fieldName)) {
    throw new RangeError ("Field '" + fieldName + "' contains illegal character '/'")
  }

  this._fields[fieldName] = attributes || {}
}

/**


@@ 2112,17 2467,27 @@ lunr.Builder.prototype.k1 = function (number) {
 * it should have all fields defined for indexing, though null or undefined values will not
 * cause errors.
 *
 * Entire documents can be boosted at build time. Applying a boost to a document indicates that
 * this document should rank higher in search results than other documents.
 *
 * @param {object} doc - The document to add to the index.
 * @param {object} attributes - Optional attributes associated with this document.
 * @param {number} [attributes.boost=1] - Boost applied to all terms within this document.
 */
lunr.Builder.prototype.add = function (doc) {
  var docRef = doc[this._ref]
lunr.Builder.prototype.add = function (doc, attributes) {
  var docRef = doc[this._ref],
      fields = Object.keys(this._fields)

  this._documents[docRef] = attributes || {}
  this.documentCount += 1

  for (var i = 0; i < this._fields.length; i++) {
    var fieldName = this._fields[i],
        field = doc[fieldName],
        tokens = this.tokenizer(field),
  for (var i = 0; i < fields.length; i++) {
    var fieldName = fields[i],
        extractor = this._fields[fieldName].extractor,
        field = extractor ? extractor(doc) : doc[fieldName],
        tokens = this.tokenizer(field, {
          fields: [fieldName]
        }),
        terms = this.pipeline.run(tokens),
        fieldRef = new lunr.FieldRef (docRef, fieldName),
        fieldTerms = Object.create(null)


@@ 2150,8 2515,8 @@ lunr.Builder.prototype.add = function (doc) {
        posting["_index"] = this.termIndex
        this.termIndex += 1

        for (var k = 0; k < this._fields.length; k++) {
          posting[this._fields[k]] = Object.create(null)
        for (var k = 0; k < fields.length; k++) {
          posting[fields[k]] = Object.create(null)
        }

        this.invertedIndex[term] = posting


@@ 2202,9 2567,11 @@ lunr.Builder.prototype.calculateAverageFieldLengths = function () {
    accumulator[field] += this.fieldLengths[fieldRef]
  }

  for (var i = 0; i < this._fields.length; i++) {
    var field = this._fields[i]
    accumulator[field] = accumulator[field] / documentsWithField[field]
  var fields = Object.keys(this._fields)

  for (var i = 0; i < fields.length; i++) {
    var fieldName = fields[i]
    accumulator[fieldName] = accumulator[fieldName] / documentsWithField[fieldName]
  }

  this.averageFieldLength = accumulator


@@ 2223,13 2590,17 @@ lunr.Builder.prototype.createFieldVectors = function () {

  for (var i = 0; i < fieldRefsLength; i++) {
    var fieldRef = lunr.FieldRef.fromString(fieldRefs[i]),
        field = fieldRef.fieldName,
        fieldName = fieldRef.fieldName,
        fieldLength = this.fieldLengths[fieldRef],
        fieldVector = new lunr.Vector,
        termFrequencies = this.fieldTermFrequencies[fieldRef],
        terms = Object.keys(termFrequencies),
        termsLength = terms.length


    var fieldBoost = this._fields[fieldName].boost || 1,
        docBoost = this._documents[fieldRef.docRef].boost || 1

    for (var j = 0; j < termsLength; j++) {
      var term = terms[j],
          tf = termFrequencies[term],


@@ 2243,7 2614,9 @@ lunr.Builder.prototype.createFieldVectors = function () {
        idf = termIdfCache[term]
      }

      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[field])) + tf)
      score = idf * ((this._k1 + 1) * tf) / (this._k1 * (1 - this._b + this._b * (fieldLength / this.averageFieldLength[fieldName])) + tf)
      score *= fieldBoost
      score *= docBoost
      scoreWithPrecision = Math.round(score * 1000) / 1000
      // Converts 1.23456789 to 1.234.
      // Reducing the precision so that the vectors take up less


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


@@ 2327,7 2700,7 @@ lunr.Builder.prototype.use = function (fn) {
 */
lunr.MatchData = function (term, field, metadata) {
  var clonedMetadata = Object.create(null),
      metadataKeys = Object.keys(metadata)
      metadataKeys = Object.keys(metadata || {})

  // Cloning the metadata to prevent the original
  // being mutated during match data combination.


@@ 2340,8 2713,11 @@ lunr.MatchData = function (term, field, metadata) {
  }

  this.metadata = Object.create(null)
  this.metadata[term] = Object.create(null)
  this.metadata[term][field] = clonedMetadata

  if (term !== undefined) {
    this.metadata[term] = Object.create(null)
    this.metadata[term][field] = clonedMetadata
  }
}

/**


@@ 2456,12 2832,43 @@ lunr.Query = function (allFields) {
 *   wildcard: lunr.Query.wildcard.LEADING | lunr.Query.wildcard.TRAILING
 * })
 */

lunr.Query.wildcard = new String ("*")
lunr.Query.wildcard.NONE = 0
lunr.Query.wildcard.LEADING = 1
lunr.Query.wildcard.TRAILING = 2

/**
 * Constants for indicating what kind of presence a term must have in matching documents.
 *
 * @constant
 * @enum {number}
 * @see lunr.Query~Clause
 * @see lunr.Query#clause
 * @see lunr.Query#term
 * @example <caption>query term with required presence</caption>
 * query.term('foo', { presence: lunr.Query.presence.REQUIRED })
 */
lunr.Query.presence = {
  /**
   * Term's presence in a document is optional, this is the default value.
   */
  OPTIONAL: 1,

  /**
   * Term's presence in a document is required, documents that do not contain
   * this term will not be returned.
   */
  REQUIRED: 2,

  /**
   * Term's presence in a document is prohibited, documents that do contain
   * this term will not be returned.
   */
  PROHIBITED: 3
}

/**
 * A single clause in a {@link lunr.Query} contains a term and details on how to
 * match that term against a {@link lunr.Index}.
 *


@@ 2470,7 2877,8 @@ lunr.Query.wildcard.TRAILING = 2
 * @property {number} [boost=1] - Any boost that should be applied when matching this clause.
 * @property {number} [editDistance] - Whether the term should have fuzzy matching applied, and how fuzzy the match should be.
 * @property {boolean} [usePipeline] - Whether the term should be passed through the search pipeline.
 * @property {number} [wildcard=0] - Whether the term should have wildcards appended or prepended.
 * @property {number} [wildcard=lunr.Query.wildcard.NONE] - Whether the term should have wildcards appended or prepended.
 * @property {number} [presence=lunr.Query.presence.OPTIONAL] - The terms presence in any matching documents.
 */

/**


@@ 2508,17 2916,44 @@ lunr.Query.prototype.clause = function (clause) {
    clause.term = "" + clause.term + "*"
  }

  if (!('presence' in clause)) {
    clause.presence = lunr.Query.presence.OPTIONAL
  }

  this.clauses.push(clause)

  return this
}

/**
 * A negated query is one in which every clause has a presence of
 * prohibited. These queries require some special processing to return
 * the expected results.
 *
 * @returns boolean
 */
lunr.Query.prototype.isNegated = function () {
  for (var i = 0; i < this.clauses.length; i++) {
    if (this.clauses[i].presence != lunr.Query.presence.PROHIBITED) {
      return false
    }
  }

  return true
}

/**
 * Adds a term to the current query, under the covers this will create a {@link lunr.Query~Clause}
 * to the list of clauses that make up this query.
 *
 * @param {string} term - The term to add to the query.
 * @param {Object} [options] - Any additional properties to add to the query clause.
 * The term is used as is, i.e. no tokenization will be performed by this method. Instead conversion
 * to a token or token-like string should be done before calling this method.
 *
 * The term will be converted to a string by calling `toString`. Multiple terms can be passed as an
 * array, each term in the array will share the same options.
 *
 * @param {object|object[]} term - The term(s) to add to the query.
 * @param {object} [options] - Any additional properties to add to the query clause.
 * @returns {lunr.Query}
 * @see lunr.Query#clause
 * @see lunr.Query~Clause


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

  var clause = options || {}
  clause.term = term
  clause.term = term.toString()

  this.clause(clause)



@@ 2645,6 3087,7 @@ lunr.QueryLexer.FIELD = 'FIELD'
lunr.QueryLexer.TERM = 'TERM'
lunr.QueryLexer.EDIT_DISTANCE = 'EDIT_DISTANCE'
lunr.QueryLexer.BOOST = 'BOOST'
lunr.QueryLexer.PRESENCE = 'PRESENCE'

lunr.QueryLexer.lexField = function (lexer) {
  lexer.backup()


@@ 2733,6 3176,22 @@ lunr.QueryLexer.lexText = function (lexer) {
      return lunr.QueryLexer.lexBoost
    }

    // "+" indicates term presence is required
    // checking for length to ensure that only
    // leading "+" are considered
    if (char == "+" && lexer.width() === 1) {
      lexer.emit(lunr.QueryLexer.PRESENCE)
      return lunr.QueryLexer.lexText
    }

    // "-" indicates term presence is prohibited
    // checking for length to ensure that only
    // leading "-" are considered
    if (char == "-" && lexer.width() === 1) {
      lexer.emit(lunr.QueryLexer.PRESENCE)
      return lunr.QueryLexer.lexText
    }

    if (char.match(lunr.QueryLexer.termSeparator)) {
      return lunr.QueryLexer.lexTerm
    }


@@ 2750,7 3209,7 @@ lunr.QueryParser.prototype.parse = function () {
  this.lexer.run()
  this.lexemes = this.lexer.lexemes

  var state = lunr.QueryParser.parseFieldOrTerm
  var state = lunr.QueryParser.parseClause

  while (state) {
    state = state(this)


@@ 2775,7 3234,7 @@ lunr.QueryParser.prototype.nextClause = function () {
  this.currentClause = {}
}

lunr.QueryParser.parseFieldOrTerm = function (parser) {
lunr.QueryParser.parseClause = function (parser) {
  var lexeme = parser.peekLexeme()

  if (lexeme == undefined) {


@@ 2783,6 3242,8 @@ lunr.QueryParser.parseFieldOrTerm = function (parser) {
  }

  switch (lexeme.type) {
    case lunr.QueryLexer.PRESENCE:
      return lunr.QueryParser.parsePresence
    case lunr.QueryLexer.FIELD:
      return lunr.QueryParser.parseField
    case lunr.QueryLexer.TERM:


@@ 2798,6 3259,43 @@ lunr.QueryParser.parseFieldOrTerm = function (parser) {
  }
}

lunr.QueryParser.parsePresence = function (parser) {
  var lexeme = parser.consumeLexeme()

  if (lexeme == undefined) {
    return
  }

  switch (lexeme.str) {
    case "-":
      parser.currentClause.presence = lunr.Query.presence.PROHIBITED
      break
    case "+":
      parser.currentClause.presence = lunr.Query.presence.REQUIRED
      break
    default:
      var errorMessage = "unrecognised presence operator'" + lexeme.str + "'"
      throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
  }

  var nextLexeme = parser.peekLexeme()

  if (nextLexeme == undefined) {
    var errorMessage = "expecting term or field, found nothing"
    throw new lunr.QueryParseError (errorMessage, lexeme.start, lexeme.end)
  }

  switch (nextLexeme.type) {
    case lunr.QueryLexer.FIELD:
      return lunr.QueryParser.parseField
    case lunr.QueryLexer.TERM:
      return lunr.QueryParser.parseTerm
    default:
      var errorMessage = "expecting term or field, found '" + nextLexeme.type + "'"
      throw new lunr.QueryParseError (errorMessage, nextLexeme.start, nextLexeme.end)
  }
}

lunr.QueryParser.parseField = function (parser) {
  var lexeme = parser.consumeLexeme()



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


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


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


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

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