Commit b80a188b by David Malcolm Committed by David Malcolm

spellcheck: support transpositions aka Damerau-Levenshtein (PR other/69968)

gcc/fortran/ChangeLog:
	PR other/69968
	* misc.c (gfc_closest_fuzzy_match): Update for renaming of
	levenshtein_distance to get_edit_distance.

gcc/ChangeLog:
	PR other/69968
	* spellcheck-tree.c (levenshtein_distance): Rename to...
	(get_edit_distance): ...this, and update for underlying renaming.
	* spellcheck-tree.h (levenshtein_distance): Rename to...
	(get_edit_distance): ...this.
	* spellcheck.c (levenshtein_distance): Rename to...
	(get_edit_distance): ...this.  Convert from Levenshtein distance
	to Damerau-Levenshtein distance by supporting transpositions of
	adjacent characters.  Rename "v1" to "v_next" and "v0" to
	"v_one_ago".
	(selftest::levenshtein_distance_unit_test_oneway): Rename to...
	(selftest::test_edit_distance_unit_test_oneway): ...this, and
	update for underlying renaming.
	(selftest::levenshtein_distance_unit_test): Rename to...
	(selftest::test_get_edit_distance_unit): ...this, and update for
	underlying renaming.
	(selftest::test_find_closest_string): Add example from PR 69968
	where transposition helps
	(selftest::test_metric_conditions): Update for renaming.
	(selftest::test_metric_conditions): Likewise.
	(selftest::spellcheck_c_tests): Likewise.
	* spellcheck.h (levenshtein_distance): Rename both overloads to...
	(get_edit_distance): ...this.
	(best_match::consider): Update for renaming.

gcc/testsuite/ChangeLog:
	PR other/69968
	* gcc.dg/spellcheck-transposition.c: New test.

From-SVN: r261521
parent e3329a78
2018-06-12 David Malcolm <dmalcolm@redhat.com>
PR other/69968
* spellcheck-tree.c (levenshtein_distance): Rename to...
(get_edit_distance): ...this, and update for underlying renaming.
* spellcheck-tree.h (levenshtein_distance): Rename to...
(get_edit_distance): ...this.
* spellcheck.c (levenshtein_distance): Rename to...
(get_edit_distance): ...this. Convert from Levenshtein distance
to Damerau-Levenshtein distance by supporting transpositions of
adjacent characters. Rename "v1" to "v_next" and "v0" to
"v_one_ago".
(selftest::levenshtein_distance_unit_test_oneway): Rename to...
(selftest::test_edit_distance_unit_test_oneway): ...this, and
update for underlying renaming.
(selftest::levenshtein_distance_unit_test): Rename to...
(selftest::test_get_edit_distance_unit): ...this, and update for
underlying renaming.
(selftest::test_find_closest_string): Add example from PR 69968
where transposition helps
(selftest::test_metric_conditions): Update for renaming.
(selftest::test_metric_conditions): Likewise.
(selftest::spellcheck_c_tests): Likewise.
* spellcheck.h (levenshtein_distance): Rename both overloads to...
(get_edit_distance): ...this.
(best_match::consider): Update for renaming.
2018-06-12 Martin Sebor <msebor@redhat.com> 2018-06-12 Martin Sebor <msebor@redhat.com>
PR tree-optimization/85259 PR tree-optimization/85259
......
2018-06-12 David Malcolm <dmalcolm@redhat.com>
PR other/69968
* misc.c (gfc_closest_fuzzy_match): Update for renaming of
levenshtein_distance to get_edit_distance.
2018-06-12 Steven G. Kargl <kargl@gcc.gnu.org> 2018-06-12 Steven G. Kargl <kargl@gcc.gnu.org>
PR fortran/44491 PR fortran/44491
......
...@@ -286,7 +286,7 @@ get_c_kind(const char *c_kind_name, CInteropKind_t kinds_table[]) ...@@ -286,7 +286,7 @@ get_c_kind(const char *c_kind_name, CInteropKind_t kinds_table[])
/* For a given name TYPO, determine the best candidate from CANDIDATES /* For a given name TYPO, determine the best candidate from CANDIDATES
perusing Levenshtein distance. Frees CANDIDATES before returning. */ using get_edit_distance. Frees CANDIDATES before returning. */
const char * const char *
gfc_closest_fuzzy_match (const char *typo, char **candidates) gfc_closest_fuzzy_match (const char *typo, char **candidates)
...@@ -299,7 +299,7 @@ gfc_closest_fuzzy_match (const char *typo, char **candidates) ...@@ -299,7 +299,7 @@ gfc_closest_fuzzy_match (const char *typo, char **candidates)
while (cand && *cand) while (cand && *cand)
{ {
edit_distance_t dist = levenshtein_distance (typo, tl, *cand, edit_distance_t dist = get_edit_distance (typo, tl, *cand,
strlen (*cand)); strlen (*cand));
if (dist < best_distance) if (dist < best_distance)
{ {
......
...@@ -27,18 +27,18 @@ along with GCC; see the file COPYING3. If not see ...@@ -27,18 +27,18 @@ along with GCC; see the file COPYING3. If not see
#include "selftest.h" #include "selftest.h"
#include "stringpool.h" #include "stringpool.h"
/* Calculate Levenshtein distance between two identifiers. */ /* Calculate edit distance between two identifiers. */
edit_distance_t edit_distance_t
levenshtein_distance (tree ident_s, tree ident_t) get_edit_distance (tree ident_s, tree ident_t)
{ {
gcc_assert (TREE_CODE (ident_s) == IDENTIFIER_NODE); gcc_assert (TREE_CODE (ident_s) == IDENTIFIER_NODE);
gcc_assert (TREE_CODE (ident_t) == IDENTIFIER_NODE); gcc_assert (TREE_CODE (ident_t) == IDENTIFIER_NODE);
return levenshtein_distance (IDENTIFIER_POINTER (ident_s), return get_edit_distance (IDENTIFIER_POINTER (ident_s),
IDENTIFIER_LENGTH (ident_s), IDENTIFIER_LENGTH (ident_s),
IDENTIFIER_POINTER (ident_t), IDENTIFIER_POINTER (ident_t),
IDENTIFIER_LENGTH (ident_t)); IDENTIFIER_LENGTH (ident_t));
} }
/* Given TARGET, an identifier, and CANDIDATES, a vec of identifiers, /* Given TARGET, an identifier, and CANDIDATES, a vec of identifiers,
......
...@@ -25,7 +25,7 @@ along with GCC; see the file COPYING3. If not see ...@@ -25,7 +25,7 @@ along with GCC; see the file COPYING3. If not see
/* spellcheck-tree.c */ /* spellcheck-tree.c */
extern edit_distance_t extern edit_distance_t
levenshtein_distance (tree ident_s, tree ident_t); get_edit_distance (tree ident_s, tree ident_t);
extern tree extern tree
find_closest_identifier (tree target, const auto_vec<tree> *candidates); find_closest_identifier (tree target, const auto_vec<tree> *candidates);
......
...@@ -25,15 +25,18 @@ along with GCC; see the file COPYING3. If not see ...@@ -25,15 +25,18 @@ along with GCC; see the file COPYING3. If not see
#include "spellcheck.h" #include "spellcheck.h"
#include "selftest.h" #include "selftest.h"
/* The Levenshtein distance is an "edit-distance": the minimal /* Get the edit distance between the two strings: the minimal
number of one-character insertions, removals or substitutions number of edits that are needed to change one string into another,
that are needed to change one string into another. where edits can be one-character insertions, removals, or substitutions,
or transpositions of two adjacent characters (counting as one "edit").
This implementation uses the Wagner-Fischer algorithm. */ This implementation uses the Wagner-Fischer algorithm for the
Damerau-Levenshtein distance; specifically, the "optimal string alignment
distance" or "restricted edit distance" variant. */
edit_distance_t edit_distance_t
levenshtein_distance (const char *s, int len_s, get_edit_distance (const char *s, int len_s,
const char *t, int len_t) const char *t, int len_t)
{ {
const bool debug = false; const bool debug = false;
...@@ -49,76 +52,86 @@ levenshtein_distance (const char *s, int len_s, ...@@ -49,76 +52,86 @@ levenshtein_distance (const char *s, int len_s,
return len_s; return len_s;
/* We effectively build a matrix where each (i, j) contains the /* We effectively build a matrix where each (i, j) contains the
Levenshtein distance between the prefix strings s[0:j] distance between the prefix strings s[0:j] and t[0:i].
and t[0:i].
Rather than actually build an (len_t + 1) * (len_s + 1) matrix, Rather than actually build an (len_t + 1) * (len_s + 1) matrix,
we simply keep track of the last row, v0 and a new row, v1, we simply keep track of the last two rows, v_one_ago and v_two_ago,
which avoids an (len_t + 1) * (len_s + 1) allocation and memory accesses and a new row, v_next, which avoids an (len_t + 1) * (len_s + 1)
in favor of two (len_s + 1) allocations. These could potentially be allocation and memory accesses in favor of three (len_s + 1)
allocations. These could potentially be
statically-allocated if we impose a maximum length on the statically-allocated if we impose a maximum length on the
strings of interest. */ strings of interest. */
edit_distance_t *v0 = new edit_distance_t[len_s + 1]; edit_distance_t *v_two_ago = new edit_distance_t[len_s + 1];
edit_distance_t *v1 = new edit_distance_t[len_s + 1]; edit_distance_t *v_one_ago = new edit_distance_t[len_s + 1];
edit_distance_t *v_next = new edit_distance_t[len_s + 1];
/* The first row is for the case of an empty target string, which /* The first row is for the case of an empty target string, which
we can reach by deleting every character in the source string. */ we can reach by deleting every character in the source string. */
for (int i = 0; i < len_s + 1; i++) for (int i = 0; i < len_s + 1; i++)
v0[i] = i; v_one_ago[i] = i;
/* Build successive rows. */ /* Build successive rows. */
for (int i = 0; i < len_t; i++) for (int i = 0; i < len_t; i++)
{ {
if (debug) if (debug)
{ {
printf ("i:%i v0 = ", i); printf ("i:%i v_one_ago = ", i);
for (int j = 0; j < len_s + 1; j++) for (int j = 0; j < len_s + 1; j++)
printf ("%i ", v0[j]); printf ("%i ", v_one_ago[j]);
printf ("\n"); printf ("\n");
} }
/* The initial column is for the case of an empty source string; we /* The initial column is for the case of an empty source string; we
can reach prefixes of the target string of length i can reach prefixes of the target string of length i
by inserting i characters. */ by inserting i characters. */
v1[0] = i + 1; v_next[0] = i + 1;
/* Build the rest of the row by considering neighbors to /* Build the rest of the row by considering neighbors to
the north, west and northwest. */ the north, west and northwest. */
for (int j = 0; j < len_s; j++) for (int j = 0; j < len_s; j++)
{ {
edit_distance_t cost = (s[j] == t[i] ? 0 : 1); edit_distance_t cost = (s[j] == t[i] ? 0 : 1);
edit_distance_t deletion = v1[j] + 1; edit_distance_t deletion = v_next[j] + 1;
edit_distance_t insertion = v0[j + 1] + 1; edit_distance_t insertion = v_one_ago[j + 1] + 1;
edit_distance_t substitution = v0[j] + cost; edit_distance_t substitution = v_one_ago[j] + cost;
edit_distance_t cheapest = MIN (deletion, insertion); edit_distance_t cheapest = MIN (deletion, insertion);
cheapest = MIN (cheapest, substitution); cheapest = MIN (cheapest, substitution);
v1[j + 1] = cheapest; if (i > 0 && j > 0 && s[j] == t[i - 1] && s[j - 1] == t[i])
{
edit_distance_t transposition = v_two_ago[j - 1] + 1;
cheapest = MIN (cheapest, transposition);
}
v_next[j + 1] = cheapest;
} }
/* Prepare to move on to next row. */ /* Prepare to move on to next row. */
for (int j = 0; j < len_s + 1; j++) for (int j = 0; j < len_s + 1; j++)
v0[j] = v1[j]; {
v_two_ago[j] = v_one_ago[j];
v_one_ago[j] = v_next[j];
}
} }
if (debug) if (debug)
{ {
printf ("final v1 = "); printf ("final v_next = ");
for (int j = 0; j < len_s + 1; j++) for (int j = 0; j < len_s + 1; j++)
printf ("%i ", v1[j]); printf ("%i ", v_next[j]);
printf ("\n"); printf ("\n");
} }
edit_distance_t result = v1[len_s]; edit_distance_t result = v_next[len_s];
delete[] v0; delete[] v_two_ago;
delete[] v1; delete[] v_one_ago;
delete[] v_next;
return result; return result;
} }
/* Calculate Levenshtein distance between two nil-terminated strings. */ /* Get the edit distance between two nil-terminated strings. */
edit_distance_t edit_distance_t
levenshtein_distance (const char *s, const char *t) get_edit_distance (const char *s, const char *t)
{ {
return levenshtein_distance (s, strlen (s), t, strlen (t)); return get_edit_distance (s, strlen (s), t, strlen (t));
} }
/* Given TARGET, a non-NULL string, and CANDIDATES, a non-NULL ptr to /* Given TARGET, a non-NULL string, and CANDIDATES, a non-NULL ptr to
...@@ -155,29 +168,28 @@ namespace selftest { ...@@ -155,29 +168,28 @@ namespace selftest {
/* Selftests. */ /* Selftests. */
/* Verify that the levenshtein_distance (A, B) equals the expected /* Verify that get_edit_distance (A, B) equals the expected value. */
value. */
static void static void
levenshtein_distance_unit_test_oneway (const char *a, const char *b, test_edit_distance_unit_test_oneway (const char *a, const char *b,
edit_distance_t expected) edit_distance_t expected)
{ {
edit_distance_t actual = levenshtein_distance (a, b); edit_distance_t actual = get_edit_distance (a, b);
ASSERT_EQ (actual, expected); ASSERT_EQ (actual, expected);
} }
/* Verify that both /* Verify that both
levenshtein_distance (A, B) get_edit_distance (A, B)
and and
levenshtein_distance (B, A) get_edit_distance (B, A)
equal the expected value, to ensure that the function is symmetric. */ equal the expected value, to ensure that the function is symmetric. */
static void static void
levenshtein_distance_unit_test (const char *a, const char *b, test_get_edit_distance_unit (const char *a, const char *b,
edit_distance_t expected) edit_distance_t expected)
{ {
levenshtein_distance_unit_test_oneway (a, b, expected); test_edit_distance_unit_test_oneway (a, b, expected);
levenshtein_distance_unit_test_oneway (b, a, expected); test_edit_distance_unit_test_oneway (b, a, expected);
} }
/* Verify that find_closest_string is sane. */ /* Verify that find_closest_string is sane. */
...@@ -215,6 +227,16 @@ test_find_closest_string () ...@@ -215,6 +227,16 @@ test_find_closest_string ()
it as a suggestion will be nonsensical. Verify that we don't offer such it as a suggestion will be nonsensical. Verify that we don't offer such
suggestions. */ suggestions. */
ASSERT_EQ (NULL, find_closest_string ("banana", &candidates)); ASSERT_EQ (NULL, find_closest_string ("banana", &candidates));
/* Example from PR 69968 where transposition helps. */
candidates.truncate (0);
candidates.safe_push("coordx");
candidates.safe_push("coordy");
candidates.safe_push("coordz");
candidates.safe_push("coordx1");
candidates.safe_push("coordy1");
candidates.safe_push("coordz1");
ASSERT_STREQ ("coordz1", find_closest_string ("coorzd1", &candidates));
} }
/* Test data for test_metric_conditions. */ /* Test data for test_metric_conditions. */
...@@ -227,7 +249,7 @@ static const char * const test_data[] = { ...@@ -227,7 +249,7 @@ static const char * const test_data[] = {
"1234567890123456789012345678901234567890123456789012345678901234567890" "1234567890123456789012345678901234567890123456789012345678901234567890"
}; };
/* Verify that levenshtein_distance appears to be a sane distance function, /* Verify that get_edit_distance appears to be a sane distance function,
i.e. the conditions for being a metric. This is done directly for a i.e. the conditions for being a metric. This is done directly for a
small set of examples, using test_data above. This is O(N^3) in the size small set of examples, using test_data above. This is O(N^3) in the size
of the array, due to the test for the triangle inequality, so we keep the of the array, due to the test for the triangle inequality, so we keep the
...@@ -243,7 +265,7 @@ test_metric_conditions () ...@@ -243,7 +265,7 @@ test_metric_conditions ()
for (int j = 0; j < num_test_cases; j++) for (int j = 0; j < num_test_cases; j++)
{ {
edit_distance_t dist_ij edit_distance_t dist_ij
= levenshtein_distance (test_data[i], test_data[j]); = get_edit_distance (test_data[i], test_data[j]);
/* Identity of indiscernibles: d(i, j) > 0 iff i == j. */ /* Identity of indiscernibles: d(i, j) > 0 iff i == j. */
if (i == j) if (i == j)
...@@ -253,43 +275,54 @@ test_metric_conditions () ...@@ -253,43 +275,54 @@ test_metric_conditions ()
/* Symmetry: d(i, j) == d(j, i). */ /* Symmetry: d(i, j) == d(j, i). */
edit_distance_t dist_ji edit_distance_t dist_ji
= levenshtein_distance (test_data[j], test_data[i]); = get_edit_distance (test_data[j], test_data[i]);
ASSERT_EQ (dist_ij, dist_ji); ASSERT_EQ (dist_ij, dist_ji);
/* Triangle inequality. */ /* Triangle inequality. */
for (int k = 0; k < num_test_cases; k++) for (int k = 0; k < num_test_cases; k++)
{ {
edit_distance_t dist_ik edit_distance_t dist_ik
= levenshtein_distance (test_data[i], test_data[k]); = get_edit_distance (test_data[i], test_data[k]);
edit_distance_t dist_jk edit_distance_t dist_jk
= levenshtein_distance (test_data[j], test_data[k]); = get_edit_distance (test_data[j], test_data[k]);
ASSERT_TRUE (dist_ik <= dist_ij + dist_jk); ASSERT_TRUE (dist_ik <= dist_ij + dist_jk);
} }
} }
} }
} }
/* Verify levenshtein_distance for a variety of pairs of pre-canned /* Verify get_edit_distance for a variety of pairs of pre-canned
inputs, comparing against known-good values. */ inputs, comparing against known-good values. */
void void
spellcheck_c_tests () spellcheck_c_tests ()
{ {
levenshtein_distance_unit_test ("", "nonempty", strlen ("nonempty")); test_get_edit_distance_unit ("", "nonempty", strlen ("nonempty"));
levenshtein_distance_unit_test ("saturday", "sunday", 3); test_get_edit_distance_unit ("saturday", "sunday", 3);
levenshtein_distance_unit_test ("foo", "m_foo", 2); test_get_edit_distance_unit ("foo", "m_foo", 2);
levenshtein_distance_unit_test ("hello_world", "HelloWorld", 3); test_get_edit_distance_unit ("hello_world", "HelloWorld", 3);
levenshtein_distance_unit_test test_get_edit_distance_unit
("the quick brown fox jumps over the lazy dog", "dog", 40); ("the quick brown fox jumps over the lazy dog", "dog", 40);
levenshtein_distance_unit_test test_get_edit_distance_unit
("the quick brown fox jumps over the lazy dog", ("the quick brown fox jumps over the lazy dog",
"the quick brown dog jumps over the lazy fox", "the quick brown dog jumps over the lazy fox",
4); 4);
levenshtein_distance_unit_test test_get_edit_distance_unit
("Lorem ipsum dolor sit amet, consectetur adipiscing elit,", ("Lorem ipsum dolor sit amet, consectetur adipiscing elit,",
"All your base are belong to us", "All your base are belong to us",
44); 44);
levenshtein_distance_unit_test ("foo", "FOO", 3); test_get_edit_distance_unit ("foo", "FOO", 3);
test_get_edit_distance_unit ("fee", "deed", 2);
test_get_edit_distance_unit ("coorzd1", "coordx1", 2);
/* Examples where transposition helps. */
test_get_edit_distance_unit ("ab", "ba", 1);
test_get_edit_distance_unit ("ba", "abc", 2);
test_get_edit_distance_unit ("coorzd1", "coordz1", 1);
test_get_edit_distance_unit ("abcdefghijklmnopqrstuvwxyz",
"bacdefghijklmnopqrstuvwxzy", 2);
test_get_edit_distance_unit ("saturday", "sundya", 4);
test_get_edit_distance_unit ("signed", "singed", 1);
test_find_closest_string (); test_find_closest_string ();
test_metric_conditions (); test_metric_conditions ();
......
...@@ -25,11 +25,11 @@ const edit_distance_t MAX_EDIT_DISTANCE = UINT_MAX; ...@@ -25,11 +25,11 @@ const edit_distance_t MAX_EDIT_DISTANCE = UINT_MAX;
/* spellcheck.c */ /* spellcheck.c */
extern edit_distance_t extern edit_distance_t
levenshtein_distance (const char *s, int len_s, get_edit_distance (const char *s, int len_s,
const char *t, int len_t); const char *t, int len_t);
extern edit_distance_t extern edit_distance_t
levenshtein_distance (const char *s, const char *t); get_edit_distance (const char *s, const char *t);
extern const char * extern const char *
find_closest_string (const char *target, find_closest_string (const char *target,
...@@ -73,7 +73,7 @@ struct edit_distance_traits<const char *> ...@@ -73,7 +73,7 @@ struct edit_distance_traits<const char *>
This type accumulates the best possible match against GOAL_TYPE for This type accumulates the best possible match against GOAL_TYPE for
a sequence of elements of CANDIDATE_TYPE, whilst minimizing the a sequence of elements of CANDIDATE_TYPE, whilst minimizing the
number of calls to levenshtein_distance and to number of calls to get_edit_distance and to
edit_distance_traits<T>::get_length. */ edit_distance_traits<T>::get_length. */
template <typename GOAL_TYPE, typename CANDIDATE_TYPE> template <typename GOAL_TYPE, typename CANDIDATE_TYPE>
...@@ -126,9 +126,9 @@ class best_match ...@@ -126,9 +126,9 @@ class best_match
/* Otherwise, compute the distance and see if the candidate /* Otherwise, compute the distance and see if the candidate
has beaten the previous best value. */ has beaten the previous best value. */
edit_distance_t dist edit_distance_t dist
= levenshtein_distance (m_goal, m_goal_len, = get_edit_distance (m_goal, m_goal_len,
candidate_traits::get_string (candidate), candidate_traits::get_string (candidate),
candidate_len); candidate_len);
if (dist < m_best_distance) if (dist < m_best_distance)
{ {
m_best_distance = dist; m_best_distance = dist;
......
2018-06-12 David Malcolm <dmalcolm@redhat.com>
PR other/69968
* gcc.dg/spellcheck-transposition.c: New test.
2018-06-12 Steven G. Kargl <kargl@gcc.gnu.org> 2018-06-12 Steven G. Kargl <kargl@gcc.gnu.org>
PR fortran/44491 PR fortran/44491
......
/* PR other/69968. */
struct {
int coordx, coordy, coordz;
int coordx1, coordy1, coordz1;
} c;
/* Consider the misspelling "coorzd1".
With Levenshtein distance, the misspelling has an edit distance of 2
to all 6 of the fields (e.g. via a deletion and a substitution for the
first three, and via deletion and insertion for the second three).
With Damerau-Levenshtein, the misspelling has an edit distance of 1
via transposition to "coordz1", and 2 to the other fields. */
void foo (void)
{
c.coorzd1 = c.coordy; /* { dg-error "has no member named 'coorzd1'; did you mean 'coordz1'" } */
}
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment