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Diffstat (limited to 'tools/perf/util/levenshtein.c')
-rw-r--r-- | tools/perf/util/levenshtein.c | 84 |
1 files changed, 84 insertions, 0 deletions
diff --git a/tools/perf/util/levenshtein.c b/tools/perf/util/levenshtein.c new file mode 100644 index 000000000000..e521d1516df6 --- /dev/null +++ b/tools/perf/util/levenshtein.c | |||
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1 | #include "cache.h" | ||
2 | #include "levenshtein.h" | ||
3 | |||
4 | /* | ||
5 | * This function implements the Damerau-Levenshtein algorithm to | ||
6 | * calculate a distance between strings. | ||
7 | * | ||
8 | * Basically, it says how many letters need to be swapped, substituted, | ||
9 | * deleted from, or added to string1, at least, to get string2. | ||
10 | * | ||
11 | * The idea is to build a distance matrix for the substrings of both | ||
12 | * strings. To avoid a large space complexity, only the last three rows | ||
13 | * are kept in memory (if swaps had the same or higher cost as one deletion | ||
14 | * plus one insertion, only two rows would be needed). | ||
15 | * | ||
16 | * At any stage, "i + 1" denotes the length of the current substring of | ||
17 | * string1 that the distance is calculated for. | ||
18 | * | ||
19 | * row2 holds the current row, row1 the previous row (i.e. for the substring | ||
20 | * of string1 of length "i"), and row0 the row before that. | ||
21 | * | ||
22 | * In other words, at the start of the big loop, row2[j + 1] contains the | ||
23 | * Damerau-Levenshtein distance between the substring of string1 of length | ||
24 | * "i" and the substring of string2 of length "j + 1". | ||
25 | * | ||
26 | * All the big loop does is determine the partial minimum-cost paths. | ||
27 | * | ||
28 | * It does so by calculating the costs of the path ending in characters | ||
29 | * i (in string1) and j (in string2), respectively, given that the last | ||
30 | * operation is a substition, a swap, a deletion, or an insertion. | ||
31 | * | ||
32 | * This implementation allows the costs to be weighted: | ||
33 | * | ||
34 | * - w (as in "sWap") | ||
35 | * - s (as in "Substitution") | ||
36 | * - a (for insertion, AKA "Add") | ||
37 | * - d (as in "Deletion") | ||
38 | * | ||
39 | * Note that this algorithm calculates a distance _iff_ d == a. | ||
40 | */ | ||
41 | int levenshtein(const char *string1, const char *string2, | ||
42 | int w, int s, int a, int d) | ||
43 | { | ||
44 | int len1 = strlen(string1), len2 = strlen(string2); | ||
45 | int *row0 = malloc(sizeof(int) * (len2 + 1)); | ||
46 | int *row1 = malloc(sizeof(int) * (len2 + 1)); | ||
47 | int *row2 = malloc(sizeof(int) * (len2 + 1)); | ||
48 | int i, j; | ||
49 | |||
50 | for (j = 0; j <= len2; j++) | ||
51 | row1[j] = j * a; | ||
52 | for (i = 0; i < len1; i++) { | ||
53 | int *dummy; | ||
54 | |||
55 | row2[0] = (i + 1) * d; | ||
56 | for (j = 0; j < len2; j++) { | ||
57 | /* substitution */ | ||
58 | row2[j + 1] = row1[j] + s * (string1[i] != string2[j]); | ||
59 | /* swap */ | ||
60 | if (i > 0 && j > 0 && string1[i - 1] == string2[j] && | ||
61 | string1[i] == string2[j - 1] && | ||
62 | row2[j + 1] > row0[j - 1] + w) | ||
63 | row2[j + 1] = row0[j - 1] + w; | ||
64 | /* deletion */ | ||
65 | if (row2[j + 1] > row1[j + 1] + d) | ||
66 | row2[j + 1] = row1[j + 1] + d; | ||
67 | /* insertion */ | ||
68 | if (row2[j + 1] > row2[j] + a) | ||
69 | row2[j + 1] = row2[j] + a; | ||
70 | } | ||
71 | |||
72 | dummy = row0; | ||
73 | row0 = row1; | ||
74 | row1 = row2; | ||
75 | row2 = dummy; | ||
76 | } | ||
77 | |||
78 | i = row1[len2]; | ||
79 | free(row0); | ||
80 | free(row1); | ||
81 | free(row2); | ||
82 | |||
83 | return i; | ||
84 | } | ||