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mirror of https://github.com/tursodatabase/libsql.git synced 2025-03-08 23:41:50 +00:00
Glauber Costa d3a156caf5 bundle SQLean extensions
A common complain with libSQL is how to run extensions. The main
mechanism, with a .so, has a lot of issues around how those .so are
distributed.

The most common extensions are the ones in the sqlean package. We can
improve this experience by bundling them in our sqlite build.

Not all SQLean extensions are kosher: some of them, like fileio, use
the vfs. Others, are deemed too complex.

The extensions included here are a subset that we deem important enough,
and low risk enough, to just be a part of the main bundle.
2025-01-16 22:25:16 -05:00

105 lines
2.8 KiB
C

// Copyright (c) 2014 Ross Bayer, MIT License
// https://github.com/Rostepher/libstrcmp
#include <assert.h>
#include <stdlib.h>
#include <string.h>
#include "fuzzy/common.h"
/// Calculates and returns the Damerau-Levenshtein distance of two non NULL
/// strings. More information about the algorithm can be found here:
/// https://en.wikipedia.org/wiki/Damerau-Levenshtein_distance
///
/// @param str1 first non NULL string
/// @param str2 second non NULL string
///
/// @returns Damerau-Levenshtein distance of str1 and str2
unsigned damerau_levenshtein(const char* str1, const char* str2) {
// strings cannot be NULL
assert(str1 != NULL);
assert(str2 != NULL);
// size of the alphabet
const unsigned alpha_size = 255;
size_t str1_len = strlen(str1);
size_t str2_len = strlen(str2);
// handle cases where one or both strings are empty
if (str1_len == 0) {
return str2_len;
}
if (str2_len == 0) {
return str1_len;
}
// remove common substring
while (str1_len > 0 && str2_len > 0 && EQ(str1[0], str2[0])) {
str1++, str2++;
str1_len--, str2_len--;
}
const unsigned INFINITY = str1_len + str2_len;
unsigned row, col;
// create "dictionary"
unsigned* dict = calloc(alpha_size, sizeof(unsigned));
size_t m_rows = str1_len + 2; // matrix rows
size_t m_cols = str2_len + 2; // matrix cols
// matrix to hold computed values
unsigned** matrix = malloc(m_rows * sizeof(unsigned*));
for (unsigned i = 0; i < m_rows; i++) {
matrix[i] = calloc(m_cols, sizeof(unsigned));
}
// set all the starting values and add all characters to the dict
matrix[0][0] = INFINITY;
for (row = 1; row < m_rows; row++) {
matrix[row][0] = INFINITY;
matrix[row][1] = row - 1;
}
for (col = 1; col < m_cols; col++) {
matrix[0][col] = INFINITY;
matrix[1][col] = col - 1;
}
unsigned db;
unsigned i, k;
unsigned cost;
// fill in the matrix
for (row = 1; row <= str1_len; row++) {
db = 0;
for (col = 1; col <= str2_len; col++) {
i = dict[(unsigned)str2[col - 1]];
k = db;
cost = EQ(str1[row - 1], str2[col - 1]) ? 0 : 1;
if (cost == 0) {
db = col;
}
matrix[row + 1][col + 1] =
MIN4(matrix[row][col] + cost, matrix[row + 1][col] + 1, matrix[row][col + 1] + 1,
matrix[i][k] + (row - i - 1) + (col - k - 1) + 1);
}
dict[(unsigned)str1[row - 1]] = row;
}
unsigned result = matrix[m_rows - 1][m_cols - 1];
// free allocated memory
free(dict);
for (unsigned i = 0; i < m_rows; i++) {
free(matrix[i]);
}
free(matrix);
return result;
}