cafe-grader-web

Location: cafe-grader-web/node_modules/fast-levenshtein/levenshtein.js - annotation

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Commit Description:
merge
Commit Description:
merge
References:
r837:b9faf3362123 merge algo
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r789:8cd7e8db7e38 default
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node_modules/fast-levenshtein/levenshtein.js | 136 lines | 3.8 KiB | application/javascript | JavascriptLexer |
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move datatable to yarn
 r789 (function() {
'use strict';
var collator;
try {
collator = (typeof Intl !== "undefined" && typeof Intl.Collator !== "undefined") ? Intl.Collator("generic", { sensitivity: "base" }) : null;
} catch (err){
console.log("Collator could not be initialized and wouldn't be used");
}
// arrays to re-use
var prevRow = [],
str2Char = [];
/**
* Based on the algorithm at http://en.wikipedia.org/wiki/Levenshtein_distance.
*/
var Levenshtein = {
/**
* Calculate levenshtein distance of the two strings.
*
* @param str1 String the first string.
* @param str2 String the second string.
* @param [options] Additional options.
* @param [options.useCollator] Use `Intl.Collator` for locale-sensitive string comparison.
* @return Integer the levenshtein distance (0 and above).
*/
get: function(str1, str2, options) {
var useCollator = (options && collator && options.useCollator);
var str1Len = str1.length,
str2Len = str2.length;
// base cases
if (str1Len === 0) return str2Len;
if (str2Len === 0) return str1Len;
// two rows
var curCol, nextCol, i, j, tmp;
// initialise previous row
for (i=0; i<str2Len; ++i) {
prevRow[i] = i;
str2Char[i] = str2.charCodeAt(i);
}
prevRow[str2Len] = str2Len;
var strCmp;
if (useCollator) {
// calculate current row distance from previous row using collator
for (i = 0; i < str1Len; ++i) {
nextCol = i + 1;
for (j = 0; j < str2Len; ++j) {
curCol = nextCol;
// substution
strCmp = 0 === collator.compare(str1.charAt(i), String.fromCharCode(str2Char[j]));
nextCol = prevRow[j] + (strCmp ? 0 : 1);
// insertion
tmp = curCol + 1;
if (nextCol > tmp) {
nextCol = tmp;
}
// deletion
tmp = prevRow[j + 1] + 1;
if (nextCol > tmp) {
nextCol = tmp;
}
// copy current col value into previous (in preparation for next iteration)
prevRow[j] = curCol;
}
// copy last col value into previous (in preparation for next iteration)
prevRow[j] = nextCol;
}
}
else {
// calculate current row distance from previous row without collator
for (i = 0; i < str1Len; ++i) {
nextCol = i + 1;
for (j = 0; j < str2Len; ++j) {
curCol = nextCol;
// substution
strCmp = str1.charCodeAt(i) === str2Char[j];
nextCol = prevRow[j] + (strCmp ? 0 : 1);
// insertion
tmp = curCol + 1;
if (nextCol > tmp) {
nextCol = tmp;
}
// deletion
tmp = prevRow[j + 1] + 1;
if (nextCol > tmp) {
nextCol = tmp;
}
// copy current col value into previous (in preparation for next iteration)
prevRow[j] = curCol;
}
// copy last col value into previous (in preparation for next iteration)
prevRow[j] = nextCol;
}
}
return nextCol;
}
};
// amd
if (typeof define !== "undefined" && define !== null && define.amd) {
define(function() {
return Levenshtein;
});
}
// commonjs
else if (typeof module !== "undefined" && module !== null && typeof exports !== "undefined" && module.exports === exports) {
module.exports = Levenshtein;
}
// web worker
else if (typeof self !== "undefined" && typeof self.postMessage === 'function' && typeof self.importScripts === 'function') {
self.Levenshtein = Levenshtein;
}
// browser main thread
else if (typeof window !== "undefined" && window !== null) {
window.Levenshtein = Levenshtein;
}
}());