[similarity] a *NEW* sequence alignment algorithm which builds on Smith-Waterman-Gotoh with affine gap penalties. Like Smith-Waterman, it performs a local alignment, and like the cost-only version of Gotoh's improvement, it needs O(mn) time and O(m) space (where m is the length of the longer string). However, this version of the algorithm stores and returns a breakdown of the number and specific types of edits it makes (matches, mismatches, gap opens, gap extensions, and transpositions) rather than rolling them up into a single cost, and without needing to return/compute the full alignment as in Needleman-Wunsch or Hirschberg's variant
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@@ -1,6 +1,291 @@
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#include "string_similarity.h"
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#include "string_utils.h"
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#include <limits.h>
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static affine_gap_edits_t NULL_AFFINE_GAP_EDITS = {
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.num_matches = 0,
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.num_mismatches = 0,
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.num_transpositions = 0,
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.num_gap_opens = 0,
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.num_gap_extensions = 0
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};
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typedef enum {
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AFFINE_CHAR_MATCH,
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AFFINE_CHAR_MISMATCH,
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AFFINE_TRANSPOSITION,
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AFFINE_GAP_OPEN,
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AFFINE_GAP_EXTEND
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} affine_gap_op;
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static inline bool space_or_equivalent(int32_t c) {
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int cat = utf8proc_category(c);
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return utf8_is_whitespace(c) || utf8_is_hyphen(c) || utf8_is_punctuation(cat);
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}
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affine_gap_edits_t affine_gap_distance_unicode_costs(uint32_array *u1_array, uint32_array *u2_array, size_t start_gap_cost, size_t extend_gap_cost, size_t match_cost, size_t mismatch_cost, size_t transpose_cost) {
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if (u1_array->n < u2_array->n) {
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uint32_array *tmp_array = u1_array;
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u1_array = u2_array;
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u2_array = tmp_array;
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}
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size_t m = u1_array->n;
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size_t n = u2_array->n;
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uint32_t *u1 = u1_array->a;
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uint32_t *u2 = u2_array->a;
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affine_gap_edits_t edits = NULL_AFFINE_GAP_EDITS;
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if (unicode_equals(u1_array, u2_array)) {
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edits.num_matches = n;
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return edits;
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}
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size_t num_bytes = (m + 1) * sizeof(size_t);
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size_t *C = malloc(num_bytes);
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if (C == NULL) {
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return NULL_AFFINE_GAP_EDITS;
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}
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size_t *D = malloc(num_bytes);
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if (D == NULL) {
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free(C);
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return NULL_AFFINE_GAP_EDITS;
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}
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affine_gap_edits_t *E = malloc((m + 1) * sizeof(affine_gap_edits_t));
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if (E == NULL) {
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free(C);
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free(D);
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return NULL_AFFINE_GAP_EDITS;
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}
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affine_gap_edits_t *ED = malloc((m + 1) * sizeof(affine_gap_edits_t));
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if (ED == NULL) {
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free(C);
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free(D);
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free(E);
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return NULL_AFFINE_GAP_EDITS;
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}
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size_t e = 0, c = 0, s = 0;
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C[0] = 0;
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E[0] = NULL_AFFINE_GAP_EDITS;
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size_t t = start_gap_cost;
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affine_gap_edits_t base_edits = NULL_AFFINE_GAP_EDITS;
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base_edits.num_gap_opens++;
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for (size_t j = 1; j < m + 1; j++) {
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t += extend_gap_cost;
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C[j] = t;
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D[j] = t + start_gap_cost;
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base_edits.num_gap_extensions++;
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E[j] = base_edits;
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ED[j] = base_edits;
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}
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t = start_gap_cost;
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base_edits = NULL_AFFINE_GAP_EDITS;
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base_edits.num_gap_opens++;
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affine_gap_edits_t current_edits = NULL_AFFINE_GAP_EDITS;
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affine_gap_edits_t prev_char_edits = NULL_AFFINE_GAP_EDITS;
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affine_gap_edits_t prev_row_prev_char_edits = NULL_AFFINE_GAP_EDITS;
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bool in_gap = false;
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for (size_t i = 1; i < n + 1; i++) {
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// s = CC[0]
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s = C[0];
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uint32_t c2 = u2[i - 1];
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// CC[0] = c = t = t + h
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t += extend_gap_cost;
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c = t;
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C[0] = c;
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prev_row_prev_char_edits = E[0];
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base_edits.num_gap_extensions++;
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prev_char_edits = base_edits;
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E[0] = prev_char_edits;
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// e = t + g
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e = t + start_gap_cost;
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affine_gap_op op = AFFINE_GAP_OPEN;
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ssize_t match_at = -1;
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size_t min_at = 0;
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size_t min_cost = SIZE_MAX;
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for (size_t j = 1; j < m + 1; j++) {
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// insertion
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// e = min(e, c + g) + h
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size_t min = e;
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uint32_t c1 = u1[j - 1];
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affine_gap_op insert_op = AFFINE_GAP_OPEN;
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if ((c + start_gap_cost) < min) {
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min = c + start_gap_cost;
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insert_op = AFFINE_GAP_OPEN;
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} else {
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insert_op = AFFINE_GAP_EXTEND;
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}
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e = min + extend_gap_cost;
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// deletion
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// DD[j] = min(DD[j], CC[j] + g) + h
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affine_gap_op delete_op = AFFINE_GAP_OPEN;
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min = D[j];
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affine_gap_edits_t delete_edits = ED[j];
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affine_gap_edits_t delete_edits_stored = delete_edits;
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delete_op = AFFINE_GAP_OPEN;
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if (C[j] + start_gap_cost < min) {
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min = C[j] + start_gap_cost;
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delete_edits = delete_edits_stored = E[j];
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delete_edits_stored.num_gap_opens++;
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}
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D[j] = min + extend_gap_cost;
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delete_edits_stored.num_gap_extensions++;
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ED[j] = delete_edits_stored;
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// Cost
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// c = min(DD[j], e, s + w(a, b))
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affine_gap_op current_op = delete_op;
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min = D[j];
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// Delete transition
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current_edits = delete_edits;
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if (e < min) {
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min = e;
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// Insert transition
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current_op = insert_op;
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current_edits = prev_char_edits;
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}
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bool both_separators = space_or_equivalent((int32_t)c1) && space_or_equivalent((int32_t)c2);
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bool is_transpose = false;
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size_t w = c1 != c2 && !both_separators ? mismatch_cost : match_cost;
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if (c1 != c2 && j < m && utf8_is_letter(c2) && utf8_is_letter(c1) && c2 == u1[j] && i < n && c1 == u2[i]) {
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w = transpose_cost;
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is_transpose = true;
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}
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if (s + w < min) {
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min = s + w;
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// Match/mismatch/transpose transition
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current_edits = prev_row_prev_char_edits;
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if ((c1 == c2 || both_separators) && !is_transpose) {
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current_op = AFFINE_CHAR_MATCH;
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} else if (!is_transpose) {
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current_op = AFFINE_CHAR_MISMATCH;
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} else if (is_transpose) {
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current_op = AFFINE_TRANSPOSITION;
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}
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}
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if (current_op == AFFINE_CHAR_MATCH) {
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current_edits.num_matches++;
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} else if (current_op == AFFINE_CHAR_MISMATCH) {
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current_edits.num_mismatches++;
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} else if (current_op == AFFINE_GAP_EXTEND) {
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current_edits.num_gap_extensions++;
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} else if (current_op == AFFINE_GAP_OPEN) {
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current_edits.num_gap_opens++;
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current_edits.num_gap_extensions++;
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} else if (current_op == AFFINE_TRANSPOSITION) {
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current_edits.num_transpositions++;
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}
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if (min < min_cost) {
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op = current_op;
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min_cost = min;
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min_at = j;
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}
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c = min;
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s = C[j];
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C[j] = c;
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prev_char_edits = current_edits;
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prev_row_prev_char_edits = E[j];
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E[j] = prev_char_edits;
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// In the case of a transposition, duplicate costs for next character and advance by 2
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if (current_op == AFFINE_TRANSPOSITION) {
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E[j + 1] = E[j];
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C[j + 1] = C[j];
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j++;
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}
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}
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if (op == AFFINE_TRANSPOSITION) {
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i++;
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}
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}
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affine_gap_edits_t ret = E[m];
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free(C);
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free(D);
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free(E);
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free(ED);
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return ret;
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}
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affine_gap_edits_t affine_gap_distance_unicode(uint32_array *u1_array, uint32_array *u2_array) {
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return affine_gap_distance_unicode_costs(u1_array, u2_array, DEFAULT_AFFINE_GAP_OPEN_COST, DEFAULT_AFFINE_GAP_EXTEND_COST, DEFAULT_AFFINE_GAP_MATCH_COST, DEFAULT_AFFINE_GAP_MISMATCH_COST, DEFAULT_AFFINE_GAP_TRANSPOSE_COST);
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}
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affine_gap_edits_t affine_gap_distance_costs(char *s1, char *s2, size_t start_gap_cost, size_t extend_gap_cost, size_t match_cost, size_t mismatch_cost, size_t transpose_cost) {
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if (s1 == NULL || s2 == NULL) return NULL_AFFINE_GAP_EDITS;
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uint32_array *u1_array = unicode_codepoints(s1);
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if (u1_array == NULL) return NULL_AFFINE_GAP_EDITS;
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uint32_array *u2_array = unicode_codepoints(s2);
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if (u2_array == NULL) {
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uint32_array_destroy(u1_array);
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return NULL_AFFINE_GAP_EDITS;
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}
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affine_gap_edits_t affine_gap = affine_gap_distance_unicode_costs(u1_array, u2_array, start_gap_cost, extend_gap_cost, match_cost, mismatch_cost, transpose_cost);
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uint32_array_destroy(u1_array);
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uint32_array_destroy(u2_array);
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return affine_gap;
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}
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affine_gap_edits_t affine_gap_distance(char *s1, char *s2) {
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return affine_gap_distance_costs(s1, s2, DEFAULT_AFFINE_GAP_OPEN_COST, DEFAULT_AFFINE_GAP_EXTEND_COST, DEFAULT_AFFINE_GAP_MATCH_COST, DEFAULT_AFFINE_GAP_MISMATCH_COST, DEFAULT_AFFINE_GAP_TRANSPOSE_COST);
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}
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ssize_t damerau_levenshtein_distance_unicode(uint32_array *u1_array, uint32_array *u2_array, size_t replace_cost) {
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size_t len1 = u1_array->n;
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size_t len2 = u2_array->n;
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@@ -6,13 +6,30 @@
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#include "collections.h"
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#define DEFAULT_JARO_WINKLER_PREFIX_SCALE 0.1
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#define DEFAULT_JARO_WINKLER_BONUS_THRESHOLD 0.7
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#define DEFAULT_AFFINE_GAP_OPEN_COST 3
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#define DEFAULT_AFFINE_GAP_EXTEND_COST 2
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#define DEFAULT_AFFINE_GAP_MATCH_COST 0
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#define DEFAULT_AFFINE_GAP_MISMATCH_COST 6
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#define DEFAULT_AFFINE_GAP_TRANSPOSE_COST 4
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typedef struct affine_gap_edits {
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size_t num_matches;
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size_t num_mismatches;
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size_t num_transpositions;
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size_t num_gap_opens;
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size_t num_gap_extensions;
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} affine_gap_edits_t;
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affine_gap_edits_t affine_gap_distance(char *s1, char *s2);
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affine_gap_edits_t affine_gap_distance_unicode(uint32_array *u1_array, uint32_array *u2_array);
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ssize_t damerau_levenshtein_distance(const char *s1, const char *s2);
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ssize_t damerau_levenshtein_distance_unicode(uint32_array *u1_array, uint32_array *u2_array, size_t replace_cost);
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ssize_t damerau_levenshtein_distance_replace_cost(const char *s1, const char *s2, size_t replace_cost);
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#define DEFAULT_JARO_WINKLER_PREFIX_SCALE 0.1
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#define DEFAULT_JARO_WINKLER_BONUS_THRESHOLD 0.7
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double jaro_distance(const char *s1, const char *s2);
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double jaro_distance_unicode(uint32_array *u1_array, uint32_array *u2_array);
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double jaro_winkler_distance_prefix_threshold(const char *s1, const char *s2, double prefix_scale, double bonus_threshold);
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