File: editdistance.cc

package info (click to toggle)
xapian-core 2.0.0-1
  • links: PTS, VCS
  • area: main
  • in suites: experimental
  • size: 25,008 kB
  • sloc: cpp: 136,717; ansic: 11,798; sh: 5,416; perl: 1,024; javascript: 551; makefile: 460; tcl: 299; python: 40
file content (236 lines) | stat: -rw-r--r-- 6,848 bytes parent folder | download
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
/** @file
 * @brief Edit distance calculation algorithm.
 *
 *  Based on that described in:
 *
 *  "An extension of Ukkonen's enhanced dynamic programming ASM algorithm"
 *  by Hal Berghel, University of Arkansas
 *  and David Roach, Acxiom Corporation
 *
 *  http://berghel.net/publications/asm/asm.php
 */
/* Copyright (C) 2003 Richard Boulton
 * Copyright (C) 2007,2008,2009,2017,2019,2020 Olly Betts
 *
 * This program is free software; you can redistribute it and/or modify
 * it under the terms of the GNU General Public License as published by
 * the Free Software Foundation; either version 2 of the License, or
 * (at your option) any later version.
 *
 * This program is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 * GNU General Public License for more details.
 *
 * You should have received a copy of the GNU General Public License
 * along with this program; if not, see
 * <https://www.gnu.org/licenses/>.
 */

#include <config.h>

#include "editdistance.h"

#include "omassert.h"
#include "popcount.h"

#include <algorithm>
#include <climits>
#include <cstdlib>
#include <cstring>

using namespace std;

template<class Char>
struct edist_seq {
    edist_seq(const Char* ptr_, int len_) : ptr(ptr_), len(len_) { }
    const Char* ptr;
    int len;
};

template<class Char>
class edist_state {
    /// Don't allow assignment.
    edist_state& operator=(const edist_state&) = delete;

    /// Don't allow copying.
    edist_state(const edist_state&) = delete;

    edist_seq<Char> seq1;
    edist_seq<Char> seq2;

    /* Array of f(k,p) values, where f(k,p) = the largest index i such that
     * d(i,j) = p and d(i,j) is on diagonal k.
     * ie: f(k,p) = largest i s.t. d(i,k+i) = p
     * Where: d(i,j) = edit distance between substrings of length i and j.
     */
    int* fkp;
    int fkp_rows;

    /* Maximum possible edit distance (this is referred to as ZERO_K in
     * the algorithm description by Berghel and Roach). */
    int maxdist;

    int calc_index(int k, int p) const {
	return k + maxdist + fkp_rows * (p + 1);
    }

  public:
    edist_state(const Char* ptr1, int len1, const Char* ptr2, int len2,
		int* fkp_)
	: seq1(ptr1, len1), seq2(ptr2, len2), fkp(fkp_), maxdist(len2) {
	Assert(len2 >= len1);
	// fkp is stored as a rectangular array, column by column.  Each entry
	// represents a value of p, from -1 to maxdist or a special value
	// close-ish to INT_MIN.
	fkp_rows = 2 * maxdist + 1;
	// It's significantly faster to memset() than std::fill_n() with an int
	// value, so fill with the msb of INT_MIN, which for 32-bit 2's
	// complement int means -2139062144 instead of -2147483648, which is
	// fine what we need here.
	memset(fkp, unsigned(INT_MIN) >> (8 * (sizeof(int) - 1)),
	       sizeof(int) * (calc_index(maxdist, maxdist - 2) + 1));
	set_f_kp(0, -1, -1);
	for (int k = 1; k <= maxdist; ++k) {
	    set_f_kp(k, k - 1, -1);
	    set_f_kp(-k, k - 1, k - 1);
	}
    }

    int get_f_kp(int k, int p) const {
	return fkp[calc_index(k, p)];
    }

    void set_f_kp(int k, int p, int val) {
	fkp[calc_index(k, p)] = val;
    }

    bool is_transposed(int pos1, int pos2) const {
	if (pos1 <= 0 || pos2 <= 0 || pos1 >= seq1.len || pos2 >= seq2.len)
	    return false;
	return (seq1.ptr[pos1 - 1] == seq2.ptr[pos2] &&
		seq1.ptr[pos1] == seq2.ptr[pos2 - 1]);
    }

    void edist_calc_f_kp(int k, int p);
};

template<class Char>
void edist_state<Char>::edist_calc_f_kp(int k, int p)
{
    int maxlen = get_f_kp(k, p - 1) + 1; /* dist if do substitute */
    int maxlen2 = get_f_kp(k - 1, p - 1); /* dist if do insert */
    int maxlen3 = get_f_kp(k + 1, p - 1) + 1; /* dist if delete */

    if (is_transposed(maxlen, maxlen + k)) {
	// Transposition.
	++maxlen;
    }

    if (maxlen >= maxlen2) {
	if (maxlen >= maxlen3) {
	    // Transposition or Substitution.
	} else {
	    // Deletion.
	    maxlen = maxlen3;
	}
    } else {
	if (maxlen2 >= maxlen3) {
	    // Insertion.
	    maxlen = maxlen2;
	} else {
	    // Deletion.
	    maxlen = maxlen3;
	}
    }

    /* Check for exact matches, and increase the length until we don't have
     * one. */
    while (maxlen < seq1.len &&
	   maxlen + k < seq2.len &&
	   seq1.ptr[maxlen] == seq2.ptr[maxlen + k]) {
	++maxlen;
    }
    set_f_kp(k, p, maxlen);
}

template<class Char>
static int
seqcmp_editdist(const Char* ptr1, int len1, const Char* ptr2, int len2,
		int* fkp_, int max_distance)
{
    int lendiff = len2 - len1;
    /* Make sure second sequence is longer (or same length). */
    if (lendiff < 0) {
	lendiff = -lendiff;
	swap(ptr1, ptr2);
	swap(len1, len2);
    }

    /* Special case for if one or both sequences are empty. */
    if (len1 == 0) return len2;

    edist_state<Char> state(ptr1, len1, ptr2, len2, fkp_);

    int p = lendiff; /* This is the minimum possible edit distance. */
    while (p <= max_distance) {
	for (int temp_p = 0; temp_p != p; ++temp_p) {
	    int inc = p - temp_p;
	    if (abs(lendiff - inc) <= temp_p) {
		state.edist_calc_f_kp(lendiff - inc, temp_p);
	    }
	    if (abs(lendiff + inc) <= temp_p) {
		state.edist_calc_f_kp(lendiff + inc, temp_p);
	    }
	}
	state.edist_calc_f_kp(lendiff, p);

	if (state.get_f_kp(lendiff, p) == len1) break;
	++p;
    }

    return p;
}

int
EditDistanceCalculator::calc(const unsigned* ptr, int len,
			     int max_distance) const
{
    // Calculate a cheap lower bound on the edit distance by considering
    // frequency histograms.
    freqs_bitmap freqs = 0;
    freqs_bitmap freqs2 = 0;
    for (int i = 0; i != len; ++i) {
	unsigned ch = ptr[i];
	auto bit = freqs_bitmap(1) << (ch & FREQS_MASK);
	freqs2 |= (freqs & bit);
	freqs |= bit;
    }
    // Each insertion or deletion adds at most 1 to total.  Each transposition
    // doesn't change it at all.  But each substitution can change it by 2 so
    // we need to divide it by 2.  We round up since the unpaired change must
    // be due to an actual edit.
    unsigned bits = 1;
    add_popcount(bits, freqs ^ target_freqs);
    add_popcount(bits, freqs2 ^ target_freqs2);
    int ed_lower_bound = bits / 2;
    if (ed_lower_bound > max_distance) {
	// It's OK to return any distance > max_distance if the true answer is
	// > max_distance.
	return ed_lower_bound;
    }

    if (!array) {
	// Allocate space for the largest case we need to consider, which is
	// when the second sequence is len + max_distance long.  Any second
	// sequence which is longer must be more than max_distance edits
	// away.
	int maxdist = target.size() + max_distance;
	int max_cols = maxdist * 2;
	int max_rows = maxdist * 2 + 1;
	array = new int[max_rows * max_cols];
    }

    return seqcmp_editdist<unsigned>(ptr, len, &target[0], target.size(),
				     array, max_distance);
}