Directory: tools/perf/util

#include "levenshtein.h" #include <errno.h> #include <stdlib.h> #include <string.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; }## Contributors

Person | Tokens | Prop | Commits | CommitProp | |

ingo molnar | ingo molnar | 371 | 100.00% | 1 | 100.00% |

Total | 371 | 100.00% | 1 | 100.00% |

Person | Tokens | Prop | Commits | CommitProp | |

ingo molnar | ingo molnar | 376 | 97.92% | 1 | 50.00% |

arnaldo carvalho de melo | arnaldo carvalho de melo | 8 | 2.08% | 1 | 50.00% |

Total | 384 | 100.00% | 2 | 100.00% |

Directory: tools/perf/util

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