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// Calculates the fuzzy match of needle in haystack, // using a modified version of the Levenshtein distance algorithm. // ported from: http://ginstrom.com/scribbles/2007/12/01/fuzzy-substring-matching-with-levenshtein-distance-in-python/ static int levenSubstringIC(S needle, S haystack) { int m = l(needle), n = l(haystack); // base cases if (m == 1) ret cic(haystack, needle) ? 1 : 0; if (m == 0) ret m; int[] row1 = new int[n+1]; for (int i = 0; i <= m; i++) { int row2 = [i+1]; // ? for (int j = 0; j <= n; j++) { int cost = neqic(needle.charAt(i), haystack.charAt(j)); row2.add(min(row1[j+1]+1, # deletion row2[j]+1, #insertion row1[j]+cost) #substitution ); } row1 = row2; } ret minInt(row1); }