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Merge pull request #2945 from PeterDaveHello/fuse_v1.0.1
add fuse v1.0.1
This commit is contained in:
@@ -0,0 +1,367 @@
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/**
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* @license
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* Fuse - Lightweight fuzzy-search
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*
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* Copyright (c) 2012 Kirollos Risk <kirollos@gmail.com>.
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* All Rights Reserved. Apache Software License 2.0
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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(function(global) {
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/**
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* Adapted from "Diff, Match and Patch", by Google
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*
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* http://code.google.com/p/google-diff-match-patch/
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*
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* Modified by: Kirollos Risk <kirollos@gmail.com>
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* -----------------------------------------------
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* Details: the algorithm and structure was modified to allow the creation of
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* <Searcher> instances with a <search> method inside which does the actual
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* bitap search. The <pattern> (the string that is searched for) is only defined
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* once per instance and thus it eliminates redundant re-creation when searching
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* over a list of strings.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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*/
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var defaultOptions = {
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// Approximately where in the text is the pattern expected to be found?
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location: 0,
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// Determines how close the match must be to the fuzzy location (specified above).
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// An exact letter match which is 'distance' characters away from the fuzzy location
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// would score as a complete mismatch. A distance of '0' requires the match be at
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// the exact location specified, a threshold of '1000' would require a perfect match
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// to be within 800 characters of the fuzzy location to be found using a 0.8 threshold.
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distance: 100,
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// At what point does the match algorithm give up. A threshold of '0.0' requires a perfect match
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// (of both letters and location), a threshold of '1.0' would match anything.
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threshold: 0.6,
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// Machine word size
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maxPatternLength: 32
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};
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function Searcher(pattern, options) {
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options = options || {};
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var MATCH_LOCATION = options.location || defaultOptions.location,
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MATCH_DISTANCE = 'distance' in options ? options.distance : defaultOptions.distance,
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MATCH_THRESHOLD = 'threshold' in options ? options.threshold : defaultOptions.threshold,
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MAX_PATTERN_LEN = options.maxPatternLength || defaultOptions.maxPatternLength,
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pattern = options.caseSensitive ? pattern : pattern.toLowerCase(),
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patternLen = pattern.length;
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if (patternLen > MAX_PATTERN_LEN) {
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throw new Error('Pattern length is too long');
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}
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var matchmask = 1 << (patternLen - 1);
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/**
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* Initialize the alphabet for the Bitap algorithm.
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* @return {Object} Hash of character locations.
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* @private
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*/
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var pattern_alphabet = (function() {
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var mask = {},
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i = 0;
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for (i = 0; i < patternLen; i++) {
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mask[pattern.charAt(i)] = 0;
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}
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for (i = 0; i < patternLen; i++) {
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mask[pattern.charAt(i)] |= 1 << (pattern.length - i - 1);
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}
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return mask;
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})();
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/**
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* Compute and return the score for a match with `e` errors and `x` location.
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* @param {number} e Number of errors in match.
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* @param {number} x Location of match.
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* @return {number} Overall score for match (0.0 = good, 1.0 = bad).
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* @private
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*/
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function match_bitapScore(e, x) {
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var accuracy = e / patternLen,
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proximity = Math.abs(MATCH_LOCATION - x);
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if (!MATCH_DISTANCE) {
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// Dodge divide by zero error.
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return proximity ? 1.0 : accuracy;
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}
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return accuracy + (proximity / MATCH_DISTANCE);
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}
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/**
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* Compute and return the result of the search
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* @param {String} text The text to search in
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* @return
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* {Object} Literal containing:
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* {Boolean} isMatch Whether the text is a match or not
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* {Decimal} score Overall score for the match
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* @public
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*/
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this.search = function(text) {
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text = options.caseSensitive ? text : text.toLowerCase();
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if (pattern === text) {
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// Exact match
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return {
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isMatch: true,
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score: 0
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};
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}
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var i, j,
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// Set starting location at beginning text and initialize the alphabet.
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textLen = text.length,
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// Highest score beyond which we give up.
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scoreThreshold = MATCH_THRESHOLD,
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// Is there a nearby exact match? (speedup)
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bestLoc = text.indexOf(pattern, MATCH_LOCATION),
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binMin, binMid,
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binMax = patternLen + textLen,
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lastRd, start, finish, rd, charMatch,
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score = 1,
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locations = [];
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if (bestLoc != -1) {
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scoreThreshold = Math.min(match_bitapScore(0, bestLoc), scoreThreshold);
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// What about in the other direction? (speedup)
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bestLoc = text.lastIndexOf(pattern, MATCH_LOCATION + patternLen);
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if (bestLoc != -1) {
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scoreThreshold = Math.min(match_bitapScore(0, bestLoc), scoreThreshold);
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}
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}
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bestLoc = -1;
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for (i = 0; i < patternLen; i++) {
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// Scan for the best match; each iteration allows for one more error.
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// Run a binary search to determine how far from 'MATCH_LOCATION' we can stray at this
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// error level.
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binMin = 0;
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binMid = binMax;
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while (binMin < binMid) {
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if (match_bitapScore(i, MATCH_LOCATION + binMid) <= scoreThreshold) {
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binMin = binMid;
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} else {
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binMax = binMid;
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}
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binMid = Math.floor((binMax - binMin) / 2 + binMin);
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}
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// Use the result from this iteration as the maximum for the next.
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binMax = binMid;
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start = Math.max(1, MATCH_LOCATION - binMid + 1);
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finish = Math.min(MATCH_LOCATION + binMid, textLen) + patternLen;
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// Initialize the bit array
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rd = Array(finish + 2);
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rd[finish + 1] = (1 << i) - 1;
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for (j = finish; j >= start; j--) {
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// The alphabet <pattern_alphabet> is a sparse hash, so the following line generates warnings.
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charMatch = pattern_alphabet[text.charAt(j - 1)];
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if (i === 0) {
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// First pass: exact match.
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rd[j] = ((rd[j + 1] << 1) | 1) & charMatch;
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} else {
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// Subsequent passes: fuzzy match.
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rd[j] = ((rd[j + 1] << 1) | 1) & charMatch | (((lastRd[j + 1] | lastRd[j]) << 1) | 1) | lastRd[j + 1];
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}
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if (rd[j] & matchmask) {
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score = match_bitapScore(i, j - 1);
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// This match will almost certainly be better than any existing match.
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// But check anyway.
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if (score <= scoreThreshold) {
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// Told you so.
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scoreThreshold = score;
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bestLoc = j - 1;
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locations.push(bestLoc);
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if (bestLoc > MATCH_LOCATION) {
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// When passing loc, don't exceed our current distance from loc.
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start = Math.max(1, 2 * MATCH_LOCATION - bestLoc);
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} else {
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// Already passed loc, downhill from here on in.
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break;
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}
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}
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}
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}
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// No hope for a (better) match at greater error levels.
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if (match_bitapScore(i + 1, MATCH_LOCATION) > scoreThreshold) {
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break;
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}
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lastRd = rd;
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}
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return {
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isMatch: bestLoc >= 0,
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score: score
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};
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}
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}
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var Utils = {
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/**
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* Traverse an object
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* @param {Object} The object to traverse
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* @param {String} A . separated path to a key in the object. Example 'Data.Object.Somevalue'
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* @return {Mixed}
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*/
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deepValue: function(obj, path) {
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for (var i = 0, path = path.split('.'), len = path.length; i < len; i++) {
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if (!obj) {
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return null;
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}
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obj = obj[path[i]];
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};
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return obj;
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}
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};
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/**
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* @param {Array} list
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* @param {Object} options
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* @public
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*/
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function Fuse(list, options) {
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options = options || {};
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var searchKeys = options.keys || [];
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/**
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* Searches for all the items whose keys (fuzzy) match the pattern.
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* @param {String} pattern The pattern string to fuzzy search on.
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* @return {Array} A list of all serch matches.
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* @public
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*/
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this.search = function(pattern) {
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var searcher = new Searcher(pattern, options),
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i, j, item, text,
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dataLen = list.length,
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searchKeysLen = searchKeys.length,
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bitapResult, rawResults = [],
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index = 0,
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resultMap = {},
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rawResultsLen, existingResult, results = [],
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compute = null;
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/**
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* Calls <Searcher::search> for bitap analysis. Builds the raw result list.
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* @param {String} text The pattern string to fuzzy search on.
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* @param {String|Int} entity If the <data> is an Array, then entity will be an index,
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* otherwise it's the item object.
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* @param {Int} index
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* @return {Object|Int}
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* @private
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*/
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function analyzeText(text, entity, index) {
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// Check if the text can be searched
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if (text !== undefined && text !== null && typeof text === 'string') {
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// Get the result
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bitapResult = searcher.search(text);
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// If a match is found, add the item to <rawResults>, including its score
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if (bitapResult.isMatch) {
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// Check if the item already exists in our results
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existingResult = resultMap[index];
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if (existingResult) {
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// Use the lowest score
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existingResult.score = Math.min(existingResult.score, bitapResult.score);
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} else {
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// Add it to the raw result list
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resultMap[index] = {
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item: entity,
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score: bitapResult.score
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};
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rawResults.push(resultMap[index]);
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}
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}
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}
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}
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// Check the first item in the list, if it's a string, then we assume
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// that every item in the list is also a string, and thus it's a flattened array.
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if (typeof list[0] === 'string') {
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// Iterate over every item
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for (; index < dataLen; index++) {
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analyzeText(list[index], index, index);
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}
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} else {
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// Otherwise, the first item is an Object (hopefully), and thus the searching
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// is done on the values of the keys of each item.
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// Iterate over every item
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for (; index < dataLen; index++) {
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item = list[index];
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// Iterate over every key
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for (j = 0; j < searchKeysLen; j++) {
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analyzeText(Utils.deepValue(item, searchKeys[j]), item, index);
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}
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}
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}
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// Sort the results, form lowest to highest score
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rawResults.sort(function(a, b) {
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return a.score - b.score;
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});
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// From the results, push into a new array only the item identifier (if specified)
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// of the entire item. This is because we don't want to return the <rawResults>,
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// since it contains other metadata;
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rawResultsLen = rawResults.length;
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for (i = 0; i < rawResultsLen; i++) {
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results.push(options.id ? Utils.deepValue(rawResults[i].item, options.id) : rawResults[i].item);
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}
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return results;
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}
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}
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// Export to Common JS Loader
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if (typeof exports === 'object') {
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// Node. Does not work with strict CommonJS, but
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// only CommonJS-like environments that support module.exports,
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// like Node.
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module.exports = Fuse;
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} else if (typeof define === 'function' && define.amd) {
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// AMD. Register as an anonymous module.
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define(function() {
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return Fuse;
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});
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} else {
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// Browser globals (root is window)
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global.Fuse = Fuse;
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}
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})(this);
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Vendored
+20
@@ -0,0 +1,20 @@
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/**
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* @license
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* Fuse - Lightweight fuzzy-search
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*
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* Copyright (c) 2012 Kirollos Risk <kirollos@gmail.com>.
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* All Rights Reserved. Apache Software License 2.0
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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!function(e){function t(e,t){function r(e,t){var r=e/h,n=Math.abs(o-t);return i?r+n/i:n?1:r}t=t||{};var o=t.location||n.location,i="distance"in t?t.distance:n.distance,a="threshold"in t?t.threshold:n.threshold,s=t.maxPatternLength||n.maxPatternLength,e=t.caseSensitive?e:e.toLowerCase(),h=e.length;if(h>s)throw new Error("Pattern length is too long");var c=1<<h-1,f=function(){var t={},r=0;for(r=0;h>r;r++)t[e.charAt(r)]=0;for(r=0;h>r;r++)t[e.charAt(r)]|=1<<e.length-r-1;return t}();this.search=function(n){if(n=t.caseSensitive?n:n.toLowerCase(),e===n)return{isMatch:!0,score:0};var i,s,u,l,d,g,m,p,v,M=n.length,x=a,y=n.indexOf(e,o),w=h+M,L=1,b=[];for(-1!=y&&(x=Math.min(r(0,y),x),y=n.lastIndexOf(e,o+h),-1!=y&&(x=Math.min(r(0,y),x))),y=-1,i=0;h>i;i++){for(u=0,l=w;l>u;)r(i,o+l)<=x?u=l:w=l,l=Math.floor((w-u)/2+u);for(w=l,g=Math.max(1,o-l+1),m=Math.min(o+l,M)+h,p=Array(m+2),p[m+1]=(1<<i)-1,s=m;s>=g;s--)if(v=f[n.charAt(s-1)],p[s]=0===i?(p[s+1]<<1|1)&v:(p[s+1]<<1|1)&v|((d[s+1]|d[s])<<1|1)|d[s+1],p[s]&c&&(L=r(i,s-1),x>=L)){if(x=L,y=s-1,b.push(y),!(y>o))break;g=Math.max(1,2*o-y)}if(r(i+1,o)>x)break;d=p}return{isMatch:y>=0,score:L}}}function r(e,r){r=r||{};var n=r.keys||[];this.search=function(i){function a(e,t,r){void 0!==e&&null!==e&&"string"==typeof e&&(f=d.search(e),f.isMatch&&(l=M[r],l?l.score=Math.min(l.score,f.score):(M[r]={item:t,score:f.score},p.push(M[r]))))}var s,h,c,f,u,l,d=new t(i,r),g=e.length,m=n.length,p=[],v=0,M={},x=[];if("string"==typeof e[0])for(;g>v;v++)a(e[v],v,v);else for(;g>v;v++)for(c=e[v],h=0;m>h;h++)a(o.deepValue(c,n[h]),c,v);for(p.sort(function(e,t){return e.score-t.score}),u=p.length,s=0;u>s;s++)x.push(r.id?o.deepValue(p[s].item,r.id):p[s].item);return x}}var n={location:0,distance:100,threshold:.6,maxPatternLength:32},o={deepValue:function(e,t){for(var r=0,t=t.split("."),n=t.length;n>r;r++){if(!e)return null;e=e[t[r]]}return e}};"object"==typeof exports?module.exports=r:"function"==typeof define&&define.amd?define(function(){return r}):e.Fuse=r}(this);
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@@ -1,7 +1,7 @@
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{
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"name": "fuse.js",
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"filename": "fuse.min.js",
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"version": "1.0.0",
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"version": "1.0.1",
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"description": "Lightweight fuzzy-search, in JavaScript",
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"homepage": "http://kiro.me/projects/fuse.html",
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"keywords": [
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