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Overview
| Comment: | Fix a case in test_fuzzer.c causing transformations from the wrong ruleset to be applied in some cases. |
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| Downloads: | Tarball | ZIP archive | SQL archive |
| Timelines: | family | ancestors | descendants | both | trunk |
| Files: | files | file ages | folders |
| SHA1: | cb5f5ebc563b8d3e47bc30b6dbb374bb |
| User & Date: | dan 2012-02-20 19:36:09 |
Context
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2012-02-20
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| 20:03 | Change the way the fuzzer (test_fuzzer.c) works so that it loads its configuration from a database table. check-in: 90b7b957 user: dan tags: trunk | |
| 19:36 | Fix a case in test_fuzzer.c causing transformations from the wrong ruleset to be applied in some cases. check-in: cb5f5ebc user: dan tags: trunk | |
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2012-02-14
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| 18:56 | Increase the maximum ruleset id in the fuzzer from 50 to 2^31-1. check-in: 760e009a user: drh tags: trunk | |
Changes
Changes to src/test_fuzzer.c.
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** Advance a fuzzer_stem to its next value. Return 0 if there are
** no more values that can be generated by this fuzzer_stem. Return
** -1 on a memory allocation failure.
*/
static int fuzzerAdvance(fuzzer_cursor *pCur, fuzzer_stem *pStem){
const fuzzer_rule *pRule;
while( (pRule = pStem->pRule)!=0 ){
while( pStem->n < pStem->nBasis - pRule->nFrom ){
pStem->n++;
if( pRule->nFrom==0
|| memcmp(&pStem->zBasis[pStem->n], pRule->zFrom, pRule->nFrom)==0
){
/* Found a rewrite case. Make sure it is not a duplicate */
int rc = fuzzerSeen(pCur, pStem);
................................................................................
pNew = sqlite3_malloc( sizeof(*pNew) + strlen(zWord) + 1 );
if( pNew==0 ) return 0;
memset(pNew, 0, sizeof(*pNew));
pNew->zBasis = (char*)&pNew[1];
pNew->nBasis = strlen(zWord);
memcpy(pNew->zBasis, zWord, pNew->nBasis+1);
pNew->pRule = pCur->pVtab->pRule;
pNew->n = -1;
pNew->rBaseCost = pNew->rCostX = rBaseCost;
h = fuzzerHash(pNew->zBasis);
pNew->pHash = pCur->apHash[h];
pCur->apHash[h] = pNew;
pCur->nStem++;
return pNew;
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** Advance a fuzzer_stem to its next value. Return 0 if there are
** no more values that can be generated by this fuzzer_stem. Return
** -1 on a memory allocation failure.
*/
static int fuzzerAdvance(fuzzer_cursor *pCur, fuzzer_stem *pStem){
const fuzzer_rule *pRule;
while( (pRule = pStem->pRule)!=0 ){
assert( pRule==&pCur->nullRule || pRule->iRuleset==pCur->iRuleset );
while( pStem->n < pStem->nBasis - pRule->nFrom ){
pStem->n++;
if( pRule->nFrom==0
|| memcmp(&pStem->zBasis[pStem->n], pRule->zFrom, pRule->nFrom)==0
){
/* Found a rewrite case. Make sure it is not a duplicate */
int rc = fuzzerSeen(pCur, pStem);
................................................................................
pNew = sqlite3_malloc( sizeof(*pNew) + strlen(zWord) + 1 );
if( pNew==0 ) return 0;
memset(pNew, 0, sizeof(*pNew));
pNew->zBasis = (char*)&pNew[1];
pNew->nBasis = strlen(zWord);
memcpy(pNew->zBasis, zWord, pNew->nBasis+1);
pNew->pRule = pCur->pVtab->pRule;
while( pNew->pRule && pNew->pRule->iRuleset!=pCur->iRuleset ){
pNew->pRule = pNew->pRule->pNext;
}
pNew->n = -1;
pNew->rBaseCost = pNew->rCostX = rBaseCost;
h = fuzzerHash(pNew->zBasis);
pNew->pHash = pCur->apHash[h];
pCur->apHash[h] = pNew;
pCur->nStem++;
return pNew;
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Changes to test/fuzzer1.test.
60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 .. 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 .... 1432 1433 1434 1435 1436 1437 1438 1439 1440 |
SELECT word, distance FROM f1 WHERE word MATCH 'abcde' AND ruleset=0
}
} {abcde 0 abcda 1 ebcde 10 ebcda 11 abcdo 100 ebcdo 110 obcde 110 obcda 111 obcdo 210}
do_test fuzzer1-1.7 {
db eval {
SELECT word, distance FROM f1 WHERE word MATCH 'abcde' AND ruleset=1
}
} {abcde 0 axcde 1 axcda 2 abcye 10 abcya 11 axcye 11 axcya 12 abcze 110 abcza 111 axcze 111 axcza 112}
do_test fuzzer1-1.8 {
db eval {
SELECT word, distance FROM f1 WHERE word MATCH 'abcde' AND distance<100
}
} {abcde 0 abcda 1 ebcde 10 ebcda 11}
do_test fuzzer1-1.9 {
db eval {
................................................................................
SELECT word, distance FROM f1
WHERE word MATCH 'abcde' AND distance<=100 AND ruleset=0
}
} {abcde 0 abcda 1 ebcde 10 ebcda 11 abcdo 100}
do_test fuzzer1-1.12 {
db eval {
SELECT word, distance FROM f1
WHERE word MATCH 'abcde' AND distance<12 AND ruleset=1
}
} {abcde 0 axcde 1 axcda 2 abcye 10 abcya 11 axcye 11}
do_test fuzzer1-1.13 {
db eval {
SELECT word, distance FROM f1
WHERE word MATCH 'abcde' AND distance<=12 AND ruleset=1
}
} {abcde 0 axcde 1 axcda 2 abcye 10 abcya 11 axcye 11 axcya 12}
do_test fuzzer1-2.0 {
execsql {
CREATE VIRTUAL TABLE temp.f2 USING fuzzer;
-- costs based on English letter frequencies
INSERT INTO f2(cFrom,cTo,cost) VALUES('a','e',24);
INSERT INTO f2(cFrom,cTo,cost) VALUES('a','o',47);
................................................................................
SELECT DISTINCT streetname.n FROM f2, streetname
WHERE f2.word MATCH 'tayle'
AND f2.distance<=200
AND streetname.n>=f2.word AND streetname.n<=(f2.word || x'F7BFBFBF')
}
} {{tyler finley} trailer taymouth steelewood tallia tallu talwyn thelema}
finish_test
|
| | | | | < > > > > > > > > |
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SELECT word, distance FROM f1 WHERE word MATCH 'abcde' AND ruleset=0
}
} {abcde 0 abcda 1 ebcde 10 ebcda 11 abcdo 100 ebcdo 110 obcde 110 obcda 111 obcdo 210}
do_test fuzzer1-1.7 {
db eval {
SELECT word, distance FROM f1 WHERE word MATCH 'abcde' AND ruleset=1
}
} {abcde 0 axcde 1 abcye 10 axcye 11 abcze 110 axcze 111}
do_test fuzzer1-1.8 {
db eval {
SELECT word, distance FROM f1 WHERE word MATCH 'abcde' AND distance<100
}
} {abcde 0 abcda 1 ebcde 10 ebcda 11}
do_test fuzzer1-1.9 {
db eval {
................................................................................
SELECT word, distance FROM f1
WHERE word MATCH 'abcde' AND distance<=100 AND ruleset=0
}
} {abcde 0 abcda 1 ebcde 10 ebcda 11 abcdo 100}
do_test fuzzer1-1.12 {
db eval {
SELECT word, distance FROM f1
WHERE word MATCH 'abcde' AND distance<11 AND ruleset=1
}
} {abcde 0 axcde 1 abcye 10}
do_test fuzzer1-1.13 {
db eval {
SELECT word, distance FROM f1
WHERE word MATCH 'abcde' AND distance<=11 AND ruleset=1
}
} {abcde 0 axcde 1 abcye 10 axcye 11}
do_test fuzzer1-2.0 {
execsql {
CREATE VIRTUAL TABLE temp.f2 USING fuzzer;
-- costs based on English letter frequencies
INSERT INTO f2(cFrom,cTo,cost) VALUES('a','e',24);
INSERT INTO f2(cFrom,cTo,cost) VALUES('a','o',47);
................................................................................
SELECT DISTINCT streetname.n FROM f2, streetname
WHERE f2.word MATCH 'tayle'
AND f2.distance<=200
AND streetname.n>=f2.word AND streetname.n<=(f2.word || x'F7BFBFBF')
}
} {{tyler finley} trailer taymouth steelewood tallia tallu talwyn thelema}
do_execsql_test fuzzer1-3.1 {
CREATE VIRTUAL TABLE temp.f3 USING fuzzer;
CREATE TABLE f3(ruleset, cfrom, cto, cost);
INSERT INTO f3(ruleset, cfrom, cto, cost) VALUES(0, 'x','y', 10);
INSERT INTO f3(ruleset, cfrom, cto, cost) VALUES(1, 'a','b', 10);
SELECT word FROM f3 WHERE word MATCH 'ax'
} {ax ay}
finish_test
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