85 lines
		
	
	
	
		
			2.5 KiB
			
		
	
	
	
		
			C
		
	
	
	
	
	
		
		
			
		
	
	
			85 lines
		
	
	
	
		
			2.5 KiB
			
		
	
	
	
		
			C
		
	
	
	
	
	
|   | #include "cache.h"
 | ||
|  | #include "levenshtein.h"
 | ||
|  | 
 | ||
|  | /*
 | ||
|  |  * This function implements the Damerau-Levenshtein algorithm to | ||
|  |  * calculate a distance between strings. | ||
|  |  * | ||
|  |  * Basically, it says how many letters need to be swapped, substituted, | ||
|  |  * deleted from, or added to string1, at least, to get string2. | ||
|  |  * | ||
|  |  * The idea is to build a distance matrix for the substrings of both | ||
|  |  * strings.  To avoid a large space complexity, only the last three rows | ||
|  |  * are kept in memory (if swaps had the same or higher cost as one deletion | ||
|  |  * plus one insertion, only two rows would be needed). | ||
|  |  * | ||
|  |  * At any stage, "i + 1" denotes the length of the current substring of | ||
|  |  * string1 that the distance is calculated for. | ||
|  |  * | ||
|  |  * row2 holds the current row, row1 the previous row (i.e. for the substring | ||
|  |  * of string1 of length "i"), and row0 the row before that. | ||
|  |  * | ||
|  |  * In other words, at the start of the big loop, row2[j + 1] contains the | ||
|  |  * Damerau-Levenshtein distance between the substring of string1 of length | ||
|  |  * "i" and the substring of string2 of length "j + 1". | ||
|  |  * | ||
|  |  * All the big loop does is determine the partial minimum-cost paths. | ||
|  |  * | ||
|  |  * It does so by calculating the costs of the path ending in characters | ||
|  |  * i (in string1) and j (in string2), respectively, given that the last | ||
|  |  * operation is a substition, a swap, a deletion, or an insertion. | ||
|  |  * | ||
|  |  * This implementation allows the costs to be weighted: | ||
|  |  * | ||
|  |  * - w (as in "sWap") | ||
|  |  * - s (as in "Substitution") | ||
|  |  * - a (for insertion, AKA "Add") | ||
|  |  * - d (as in "Deletion") | ||
|  |  * | ||
|  |  * Note that this algorithm calculates a distance _iff_ d == a. | ||
|  |  */ | ||
|  | int levenshtein(const char *string1, const char *string2, | ||
|  | 		int w, int s, int a, int d) | ||
|  | { | ||
|  | 	int len1 = strlen(string1), len2 = strlen(string2); | ||
|  | 	int *row0 = malloc(sizeof(int) * (len2 + 1)); | ||
|  | 	int *row1 = malloc(sizeof(int) * (len2 + 1)); | ||
|  | 	int *row2 = malloc(sizeof(int) * (len2 + 1)); | ||
|  | 	int i, j; | ||
|  | 
 | ||
|  | 	for (j = 0; j <= len2; j++) | ||
|  | 		row1[j] = j * a; | ||
|  | 	for (i = 0; i < len1; i++) { | ||
|  | 		int *dummy; | ||
|  | 
 | ||
|  | 		row2[0] = (i + 1) * d; | ||
|  | 		for (j = 0; j < len2; j++) { | ||
|  | 			/* substitution */ | ||
|  | 			row2[j + 1] = row1[j] + s * (string1[i] != string2[j]); | ||
|  | 			/* swap */ | ||
|  | 			if (i > 0 && j > 0 && string1[i - 1] == string2[j] && | ||
|  | 					string1[i] == string2[j - 1] && | ||
|  | 					row2[j + 1] > row0[j - 1] + w) | ||
|  | 				row2[j + 1] = row0[j - 1] + w; | ||
|  | 			/* deletion */ | ||
|  | 			if (row2[j + 1] > row1[j + 1] + d) | ||
|  | 				row2[j + 1] = row1[j + 1] + d; | ||
|  | 			/* insertion */ | ||
|  | 			if (row2[j + 1] > row2[j] + a) | ||
|  | 				row2[j + 1] = row2[j] + a; | ||
|  | 		} | ||
|  | 
 | ||
|  | 		dummy = row0; | ||
|  | 		row0 = row1; | ||
|  | 		row1 = row2; | ||
|  | 		row2 = dummy; | ||
|  | 	} | ||
|  | 
 | ||
|  | 	i = row1[len2]; | ||
|  | 	free(row0); | ||
|  | 	free(row1); | ||
|  | 	free(row2); | ||
|  | 
 | ||
|  | 	return i; | ||
|  | } |