|  | #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; | 
|  | } |