| /* stringlib: fastsearch implementation */ | |
| #define STRINGLIB_FASTSEARCH_H | |
| /* fast search/count implementation, based on a mix between boyer- | |
| moore and horspool, with a few more bells and whistles on the top. | |
| for some more background, see: | |
| https://web.archive.org/web/20201107074620/http://effbot.org/zone/stringlib.htm */ | |
| /* note: fastsearch may access s[n], which isn't a problem when using | |
| Python's ordinary string types, but may cause problems if you're | |
| using this code in other contexts. also, the count mode returns -1 | |
| if there cannot possibly be a match in the target string, and 0 if | |
| it has actually checked for matches, but didn't find any. callers | |
| beware! */ | |
| /* If the strings are long enough, use Crochemore and Perrin's Two-Way | |
| algorithm, which has worst-case O(n) runtime and best-case O(n/k). | |
| Also compute a table of shifts to achieve O(n/k) in more cases, | |
| and often (data dependent) deduce larger shifts than pure C&P can | |
| deduce. See stringlib_find_two_way_notes.txt in this folder for a | |
| detailed explanation. */ | |
| #define FAST_COUNT 0 | |
| #define FAST_SEARCH 1 | |
| #define FAST_RSEARCH 2 | |
| #if LONG_BIT >= 128 | |
| #define STRINGLIB_BLOOM_WIDTH 128 | |
| #elif LONG_BIT >= 64 | |
| #define STRINGLIB_BLOOM_WIDTH 64 | |
| #elif LONG_BIT >= 32 | |
| #define STRINGLIB_BLOOM_WIDTH 32 | |
| #else | |
| #error "LONG_BIT is smaller than 32" | |
| #endif | |
| #define STRINGLIB_BLOOM_ADD(mask, ch) \ | |
| ((mask |= (1UL << ((ch) & (STRINGLIB_BLOOM_WIDTH -1))))) | |
| #define STRINGLIB_BLOOM(mask, ch) \ | |
| ((mask & (1UL << ((ch) & (STRINGLIB_BLOOM_WIDTH -1))))) | |
| #ifdef STRINGLIB_FAST_MEMCHR | |
| # define MEMCHR_CUT_OFF 15 | |
| #else | |
| # define MEMCHR_CUT_OFF 40 | |
| #endif | |
| Py_LOCAL_INLINE(Py_ssize_t) | |
| STRINGLIB(find_char)(const STRINGLIB_CHAR* s, Py_ssize_t n, STRINGLIB_CHAR ch) | |
| { | |
| const STRINGLIB_CHAR *p, *e; | |
| p = s; | |
| e = s + n; | |
| if (n > MEMCHR_CUT_OFF) { | |
| #ifdef STRINGLIB_FAST_MEMCHR | |
| p = STRINGLIB_FAST_MEMCHR(s, ch, n); | |
| if (p != NULL) | |
| return (p - s); | |
| return -1; | |
| #else | |
| /* use memchr if we can choose a needle without too many likely | |
| false positives */ | |
| const STRINGLIB_CHAR *s1, *e1; | |
| unsigned char needle = ch & 0xff; | |
| /* If looking for a multiple of 256, we'd have too | |
| many false positives looking for the '\0' byte in UCS2 | |
| and UCS4 representations. */ | |
| if (needle != 0) { | |
| do { | |
| const void *candidate = memchr(p, needle, | |
| (e - p) * sizeof(STRINGLIB_CHAR)); | |
| if (candidate == NULL) | |
| return -1; | |
| s1 = p; | |
| p = (const STRINGLIB_CHAR *) | |
| _Py_ALIGN_DOWN(candidate, sizeof(STRINGLIB_CHAR)); | |
| if (*p == ch) | |
| return (p - s); | |
| /* False positive */ | |
| p++; | |
| if (p - s1 > MEMCHR_CUT_OFF) | |
| continue; | |
| if (e - p <= MEMCHR_CUT_OFF) | |
| break; | |
| e1 = p + MEMCHR_CUT_OFF; | |
| while (p != e1) { | |
| if (*p == ch) | |
| return (p - s); | |
| p++; | |
| } | |
| } | |
| while (e - p > MEMCHR_CUT_OFF); | |
| } | |
| #endif | |
| } | |
| while (p < e) { | |
| if (*p == ch) | |
| return (p - s); | |
| p++; | |
| } | |
| return -1; | |
| } | |
| #undef MEMCHR_CUT_OFF | |
| #if STRINGLIB_SIZEOF_CHAR == 1 | |
| # define MEMRCHR_CUT_OFF 15 | |
| #else | |
| # define MEMRCHR_CUT_OFF 40 | |
| #endif | |
| Py_LOCAL_INLINE(Py_ssize_t) | |
| STRINGLIB(rfind_char)(const STRINGLIB_CHAR* s, Py_ssize_t n, STRINGLIB_CHAR ch) | |
| { | |
| const STRINGLIB_CHAR *p; | |
| #ifdef HAVE_MEMRCHR | |
| /* memrchr() is a GNU extension, available since glibc 2.1.91. it | |
| doesn't seem as optimized as memchr(), but is still quite | |
| faster than our hand-written loop below. There is no wmemrchr | |
| for 4-byte chars. */ | |
| if (n > MEMRCHR_CUT_OFF) { | |
| #if STRINGLIB_SIZEOF_CHAR == 1 | |
| p = memrchr(s, ch, n); | |
| if (p != NULL) | |
| return (p - s); | |
| return -1; | |
| #else | |
| /* use memrchr if we can choose a needle without too many likely | |
| false positives */ | |
| const STRINGLIB_CHAR *s1; | |
| Py_ssize_t n1; | |
| unsigned char needle = ch & 0xff; | |
| /* If looking for a multiple of 256, we'd have too | |
| many false positives looking for the '\0' byte in UCS2 | |
| and UCS4 representations. */ | |
| if (needle != 0) { | |
| do { | |
| void *candidate = memrchr(s, needle, | |
| n * sizeof(STRINGLIB_CHAR)); | |
| if (candidate == NULL) | |
| return -1; | |
| n1 = n; | |
| p = (const STRINGLIB_CHAR *) | |
| _Py_ALIGN_DOWN(candidate, sizeof(STRINGLIB_CHAR)); | |
| n = p - s; | |
| if (*p == ch) | |
| return n; | |
| /* False positive */ | |
| if (n1 - n > MEMRCHR_CUT_OFF) | |
| continue; | |
| if (n <= MEMRCHR_CUT_OFF) | |
| break; | |
| s1 = p - MEMRCHR_CUT_OFF; | |
| while (p > s1) { | |
| p--; | |
| if (*p == ch) | |
| return (p - s); | |
| } | |
| n = p - s; | |
| } | |
| while (n > MEMRCHR_CUT_OFF); | |
| } | |
| #endif | |
| } | |
| #endif /* HAVE_MEMRCHR */ | |
| p = s + n; | |
| while (p > s) { | |
| p--; | |
| if (*p == ch) | |
| return (p - s); | |
| } | |
| return -1; | |
| } | |
| #undef MEMRCHR_CUT_OFF | |
| /* Change to a 1 to see logging comments walk through the algorithm. */ | |
| #if 0 && STRINGLIB_SIZEOF_CHAR == 1 | |
| # define LOG(...) printf(__VA_ARGS__) | |
| # define LOG_STRING(s, n) printf("\"%.*s\"", (int)(n), s) | |
| # define LOG_LINEUP() do { \ | |
| LOG("> "); LOG_STRING(haystack, len_haystack); LOG("\n> "); \ | |
| LOG("%*s",(int)(window_last - haystack + 1 - len_needle), ""); \ | |
| LOG_STRING(needle, len_needle); LOG("\n"); \ | |
| } while(0) | |
| #else | |
| # define LOG(...) | |
| # define LOG_STRING(s, n) | |
| # define LOG_LINEUP() | |
| #endif | |
| Py_LOCAL_INLINE(Py_ssize_t) | |
| STRINGLIB(_lex_search)(const STRINGLIB_CHAR *needle, Py_ssize_t len_needle, | |
| Py_ssize_t *return_period, int invert_alphabet) | |
| { | |
| /* Do a lexicographic search. Essentially this: | |
| >>> max(needle[i:] for i in range(len(needle)+1)) | |
| Also find the period of the right half. */ | |
| Py_ssize_t max_suffix = 0; | |
| Py_ssize_t candidate = 1; | |
| Py_ssize_t k = 0; | |
| // The period of the right half. | |
| Py_ssize_t period = 1; | |
| while (candidate + k < len_needle) { | |
| // each loop increases candidate + k + max_suffix | |
| STRINGLIB_CHAR a = needle[candidate + k]; | |
| STRINGLIB_CHAR b = needle[max_suffix + k]; | |
| // check if the suffix at candidate is better than max_suffix | |
| if (invert_alphabet ? (b < a) : (a < b)) { | |
| // Fell short of max_suffix. | |
| // The next k + 1 characters are non-increasing | |
| // from candidate, so they won't start a maximal suffix. | |
| candidate += k + 1; | |
| k = 0; | |
| // We've ruled out any period smaller than what's | |
| // been scanned since max_suffix. | |
| period = candidate - max_suffix; | |
| } | |
| else if (a == b) { | |
| if (k + 1 != period) { | |
| // Keep scanning the equal strings | |
| k++; | |
| } | |
| else { | |
| // Matched a whole period. | |
| // Start matching the next period. | |
| candidate += period; | |
| k = 0; | |
| } | |
| } | |
| else { | |
| // Did better than max_suffix, so replace it. | |
| max_suffix = candidate; | |
| candidate++; | |
| k = 0; | |
| period = 1; | |
| } | |
| } | |
| *return_period = period; | |
| return max_suffix; | |
| } | |
| Py_LOCAL_INLINE(Py_ssize_t) | |
| STRINGLIB(_factorize)(const STRINGLIB_CHAR *needle, | |
| Py_ssize_t len_needle, | |
| Py_ssize_t *return_period) | |
| { | |
| /* Do a "critical factorization", making it so that: | |
| >>> needle = (left := needle[:cut]) + (right := needle[cut:]) | |
| where the "local period" of the cut is maximal. | |
| The local period of the cut is the minimal length of a string w | |
| such that (left endswith w or w endswith left) | |
| and (right startswith w or w startswith right). | |
| The Critical Factorization Theorem says that this maximal local | |
| period is the global period of the string. | |
| Crochemore and Perrin (1991) show that this cut can be computed | |
| as the later of two cuts: one that gives a lexicographically | |
| maximal right half, and one that gives the same with the | |
| with respect to a reversed alphabet-ordering. | |
| This is what we want to happen: | |
| >>> x = "GCAGAGAG" | |
| >>> cut, period = factorize(x) | |
| >>> x[:cut], (right := x[cut:]) | |
| ('GC', 'AGAGAG') | |
| >>> period # right half period | |
| 2 | |
| >>> right[period:] == right[:-period] | |
| True | |
| This is how the local period lines up in the above example: | |
| GC | AGAGAG | |
| AGAGAGC = AGAGAGC | |
| The length of this minimal repetition is 7, which is indeed the | |
| period of the original string. */ | |
| Py_ssize_t cut1, period1, cut2, period2, cut, period; | |
| cut1 = STRINGLIB(_lex_search)(needle, len_needle, &period1, 0); | |
| cut2 = STRINGLIB(_lex_search)(needle, len_needle, &period2, 1); | |
| // Take the later cut. | |
| if (cut1 > cut2) { | |
| period = period1; | |
| cut = cut1; | |
| } | |
| else { | |
| period = period2; | |
| cut = cut2; | |
| } | |
| LOG("split: "); LOG_STRING(needle, cut); | |
| LOG(" + "); LOG_STRING(needle + cut, len_needle - cut); | |
| LOG("\n"); | |
| *return_period = period; | |
| return cut; | |
| } | |
| #define SHIFT_TYPE uint8_t | |
| #define MAX_SHIFT UINT8_MAX | |
| #define TABLE_SIZE_BITS 6u | |
| #define TABLE_SIZE (1U << TABLE_SIZE_BITS) | |
| #define TABLE_MASK (TABLE_SIZE - 1U) | |
| typedef struct STRINGLIB(_pre) { | |
| const STRINGLIB_CHAR *needle; | |
| Py_ssize_t len_needle; | |
| Py_ssize_t cut; | |
| Py_ssize_t period; | |
| Py_ssize_t gap; | |
| int is_periodic; | |
| SHIFT_TYPE table[TABLE_SIZE]; | |
| } STRINGLIB(prework); | |
| static void | |
| STRINGLIB(_preprocess)(const STRINGLIB_CHAR *needle, Py_ssize_t len_needle, | |
| STRINGLIB(prework) *p) | |
| { | |
| p->needle = needle; | |
| p->len_needle = len_needle; | |
| p->cut = STRINGLIB(_factorize)(needle, len_needle, &(p->period)); | |
| assert(p->period + p->cut <= len_needle); | |
| p->is_periodic = (0 == memcmp(needle, | |
| needle + p->period, | |
| p->cut * STRINGLIB_SIZEOF_CHAR)); | |
| if (p->is_periodic) { | |
| assert(p->cut <= len_needle/2); | |
| assert(p->cut < p->period); | |
| } | |
| else { | |
| // A lower bound on the period | |
| p->period = Py_MAX(p->cut, len_needle - p->cut) + 1; | |
| } | |
| // The gap between the last character and the previous | |
| // occurrence of an equivalent character (modulo TABLE_SIZE) | |
| p->gap = len_needle; | |
| STRINGLIB_CHAR last = needle[len_needle - 1] & TABLE_MASK; | |
| for (Py_ssize_t i = len_needle - 2; i >= 0; i--) { | |
| STRINGLIB_CHAR x = needle[i] & TABLE_MASK; | |
| if (x == last) { | |
| p->gap = len_needle - 1 - i; | |
| break; | |
| } | |
| } | |
| // Fill up a compressed Boyer-Moore "Bad Character" table | |
| Py_ssize_t not_found_shift = Py_MIN(len_needle, MAX_SHIFT); | |
| for (Py_ssize_t i = 0; i < (Py_ssize_t)TABLE_SIZE; i++) { | |
| p->table[i] = Py_SAFE_DOWNCAST(not_found_shift, | |
| Py_ssize_t, SHIFT_TYPE); | |
| } | |
| for (Py_ssize_t i = len_needle - not_found_shift; i < len_needle; i++) { | |
| SHIFT_TYPE shift = Py_SAFE_DOWNCAST(len_needle - 1 - i, | |
| Py_ssize_t, SHIFT_TYPE); | |
| p->table[needle[i] & TABLE_MASK] = shift; | |
| } | |
| } | |
| static Py_ssize_t | |
| STRINGLIB(_two_way)(const STRINGLIB_CHAR *haystack, Py_ssize_t len_haystack, | |
| STRINGLIB(prework) *p) | |
| { | |
| // Crochemore and Perrin's (1991) Two-Way algorithm. | |
| // See http://www-igm.univ-mlv.fr/~lecroq/string/node26.html#SECTION00260 | |
| const Py_ssize_t len_needle = p->len_needle; | |
| const Py_ssize_t cut = p->cut; | |
| Py_ssize_t period = p->period; | |
| const STRINGLIB_CHAR *const needle = p->needle; | |
| const STRINGLIB_CHAR *window_last = haystack + len_needle - 1; | |
| const STRINGLIB_CHAR *const haystack_end = haystack + len_haystack; | |
| SHIFT_TYPE *table = p->table; | |
| const STRINGLIB_CHAR *window; | |
| LOG("===== Two-way: \"%s\" in \"%s\". =====\n", needle, haystack); | |
| Py_ssize_t gap = p->gap; | |
| Py_ssize_t gap_jump_end = Py_MIN(len_needle, cut + gap); | |
| if (p->is_periodic) { | |
| LOG("Needle is periodic.\n"); | |
| Py_ssize_t memory = 0; | |
| periodicwindowloop: | |
| while (window_last < haystack_end) { | |
| assert(memory == 0); | |
| for (;;) { | |
| LOG_LINEUP(); | |
| Py_ssize_t shift = table[(*window_last) & TABLE_MASK]; | |
| window_last += shift; | |
| if (shift == 0) { | |
| break; | |
| } | |
| if (window_last >= haystack_end) { | |
| return -1; | |
| } | |
| LOG("Horspool skip\n"); | |
| } | |
| no_shift: | |
| window = window_last - len_needle + 1; | |
| assert((window[len_needle - 1] & TABLE_MASK) == | |
| (needle[len_needle - 1] & TABLE_MASK)); | |
| Py_ssize_t i = Py_MAX(cut, memory); | |
| for (; i < len_needle; i++) { | |
| if (needle[i] != window[i]) { | |
| if (i < gap_jump_end) { | |
| LOG("Early right half mismatch: jump by gap.\n"); | |
| assert(gap >= i - cut + 1); | |
| window_last += gap; | |
| } | |
| else { | |
| LOG("Late right half mismatch: jump by n (>gap)\n"); | |
| assert(i - cut + 1 > gap); | |
| window_last += i - cut + 1; | |
| } | |
| memory = 0; | |
| goto periodicwindowloop; | |
| } | |
| } | |
| for (i = memory; i < cut; i++) { | |
| if (needle[i] != window[i]) { | |
| LOG("Left half does not match.\n"); | |
| window_last += period; | |
| memory = len_needle - period; | |
| if (window_last >= haystack_end) { | |
| return -1; | |
| } | |
| Py_ssize_t shift = table[(*window_last) & TABLE_MASK]; | |
| if (shift) { | |
| // A mismatch has been identified to the right | |
| // of where i will next start, so we can jump | |
| // at least as far as if the mismatch occurred | |
| // on the first comparison. | |
| Py_ssize_t mem_jump = Py_MAX(cut, memory) - cut + 1; | |
| LOG("Skip with Memory.\n"); | |
| memory = 0; | |
| window_last += Py_MAX(shift, mem_jump); | |
| goto periodicwindowloop; | |
| } | |
| goto no_shift; | |
| } | |
| } | |
| LOG("Found a match!\n"); | |
| return window - haystack; | |
| } | |
| } | |
| else { | |
| period = Py_MAX(gap, period); | |
| LOG("Needle is not periodic.\n"); | |
| windowloop: | |
| while (window_last < haystack_end) { | |
| for (;;) { | |
| LOG_LINEUP(); | |
| Py_ssize_t shift = table[(*window_last) & TABLE_MASK]; | |
| window_last += shift; | |
| if (shift == 0) { | |
| break; | |
| } | |
| if (window_last >= haystack_end) { | |
| return -1; | |
| } | |
| LOG("Horspool skip\n"); | |
| } | |
| window = window_last - len_needle + 1; | |
| assert((window[len_needle - 1] & TABLE_MASK) == | |
| (needle[len_needle - 1] & TABLE_MASK)); | |
| Py_ssize_t i = cut; | |
| for (; i < len_needle; i++) { | |
| if (needle[i] != window[i]) { | |
| if (i < gap_jump_end) { | |
| LOG("Early right half mismatch: jump by gap.\n"); | |
| assert(gap >= i - cut + 1); | |
| window_last += gap; | |
| } | |
| else { | |
| LOG("Late right half mismatch: jump by n (>gap)\n"); | |
| assert(i - cut + 1 > gap); | |
| window_last += i - cut + 1; | |
| } | |
| goto windowloop; | |
| } | |
| } | |
| for (Py_ssize_t i = 0; i < cut; i++) { | |
| if (needle[i] != window[i]) { | |
| LOG("Left half does not match.\n"); | |
| window_last += period; | |
| goto windowloop; | |
| } | |
| } | |
| LOG("Found a match!\n"); | |
| return window - haystack; | |
| } | |
| } | |
| LOG("Not found. Returning -1.\n"); | |
| return -1; | |
| } | |
| static Py_ssize_t | |
| STRINGLIB(_two_way_find)(const STRINGLIB_CHAR *haystack, | |
| Py_ssize_t len_haystack, | |
| const STRINGLIB_CHAR *needle, | |
| Py_ssize_t len_needle) | |
| { | |
| LOG("###### Finding \"%s\" in \"%s\".\n", needle, haystack); | |
| STRINGLIB(prework) p; | |
| STRINGLIB(_preprocess)(needle, len_needle, &p); | |
| return STRINGLIB(_two_way)(haystack, len_haystack, &p); | |
| } | |
| static Py_ssize_t | |
| STRINGLIB(_two_way_count)(const STRINGLIB_CHAR *haystack, | |
| Py_ssize_t len_haystack, | |
| const STRINGLIB_CHAR *needle, | |
| Py_ssize_t len_needle, | |
| Py_ssize_t maxcount) | |
| { | |
| LOG("###### Counting \"%s\" in \"%s\".\n", needle, haystack); | |
| STRINGLIB(prework) p; | |
| STRINGLIB(_preprocess)(needle, len_needle, &p); | |
| Py_ssize_t index = 0, count = 0; | |
| while (1) { | |
| Py_ssize_t result; | |
| result = STRINGLIB(_two_way)(haystack + index, | |
| len_haystack - index, &p); | |
| if (result == -1) { | |
| return count; | |
| } | |
| count++; | |
| if (count == maxcount) { | |
| return maxcount; | |
| } | |
| index += result + len_needle; | |
| } | |
| return count; | |
| } | |
| #undef SHIFT_TYPE | |
| #undef NOT_FOUND | |
| #undef SHIFT_OVERFLOW | |
| #undef TABLE_SIZE_BITS | |
| #undef TABLE_SIZE | |
| #undef TABLE_MASK | |
| #undef LOG | |
| #undef LOG_STRING | |
| #undef LOG_LINEUP | |
| static inline Py_ssize_t | |
| STRINGLIB(default_find)(const STRINGLIB_CHAR* s, Py_ssize_t n, | |
| const STRINGLIB_CHAR* p, Py_ssize_t m, | |
| Py_ssize_t maxcount, int mode) | |
| { | |
| const Py_ssize_t w = n - m; | |
| Py_ssize_t mlast = m - 1, count = 0; | |
| Py_ssize_t gap = mlast; | |
| const STRINGLIB_CHAR last = p[mlast]; | |
| const STRINGLIB_CHAR *const ss = &s[mlast]; | |
| unsigned long mask = 0; | |
| for (Py_ssize_t i = 0; i < mlast; i++) { | |
| STRINGLIB_BLOOM_ADD(mask, p[i]); | |
| if (p[i] == last) { | |
| gap = mlast - i - 1; | |
| } | |
| } | |
| STRINGLIB_BLOOM_ADD(mask, last); | |
| for (Py_ssize_t i = 0; i <= w; i++) { | |
| if (ss[i] == last) { | |
| /* candidate match */ | |
| Py_ssize_t j; | |
| for (j = 0; j < mlast; j++) { | |
| if (s[i+j] != p[j]) { | |
| break; | |
| } | |
| } | |
| if (j == mlast) { | |
| /* got a match! */ | |
| if (mode != FAST_COUNT) { | |
| return i; | |
| } | |
| count++; | |
| if (count == maxcount) { | |
| return maxcount; | |
| } | |
| i = i + mlast; | |
| continue; | |
| } | |
| /* miss: check if next character is part of pattern */ | |
| if (i + 1 <= w && !STRINGLIB_BLOOM(mask, ss[i+1])) { | |
| i = i + m; | |
| } | |
| else { | |
| i = i + gap; | |
| } | |
| } | |
| else { | |
| /* skip: check if next character is part of pattern */ | |
| if (i + 1 <= w && !STRINGLIB_BLOOM(mask, ss[i+1])) { | |
| i = i + m; | |
| } | |
| } | |
| } | |
| return mode == FAST_COUNT ? count : -1; | |
| } | |
| static Py_ssize_t | |
| STRINGLIB(adaptive_find)(const STRINGLIB_CHAR* s, Py_ssize_t n, | |
| const STRINGLIB_CHAR* p, Py_ssize_t m, | |
| Py_ssize_t maxcount, int mode) | |
| { | |
| const Py_ssize_t w = n - m; | |
| Py_ssize_t mlast = m - 1, count = 0; | |
| Py_ssize_t gap = mlast; | |
| Py_ssize_t hits = 0, res; | |
| const STRINGLIB_CHAR last = p[mlast]; | |
| const STRINGLIB_CHAR *const ss = &s[mlast]; | |
| unsigned long mask = 0; | |
| for (Py_ssize_t i = 0; i < mlast; i++) { | |
| STRINGLIB_BLOOM_ADD(mask, p[i]); | |
| if (p[i] == last) { | |
| gap = mlast - i - 1; | |
| } | |
| } | |
| STRINGLIB_BLOOM_ADD(mask, last); | |
| for (Py_ssize_t i = 0; i <= w; i++) { | |
| if (ss[i] == last) { | |
| /* candidate match */ | |
| Py_ssize_t j; | |
| for (j = 0; j < mlast; j++) { | |
| if (s[i+j] != p[j]) { | |
| break; | |
| } | |
| } | |
| if (j == mlast) { | |
| /* got a match! */ | |
| if (mode != FAST_COUNT) { | |
| return i; | |
| } | |
| count++; | |
| if (count == maxcount) { | |
| return maxcount; | |
| } | |
| i = i + mlast; | |
| continue; | |
| } | |
| hits += j + 1; | |
| if (hits > m / 4 && w - i > 2000) { | |
| if (mode == FAST_SEARCH) { | |
| res = STRINGLIB(_two_way_find)(s + i, n - i, p, m); | |
| return res == -1 ? -1 : res + i; | |
| } | |
| else { | |
| res = STRINGLIB(_two_way_count)(s + i, n - i, p, m, | |
| maxcount - count); | |
| return res + count; | |
| } | |
| } | |
| /* miss: check if next character is part of pattern */ | |
| if (i + 1 <= w && !STRINGLIB_BLOOM(mask, ss[i+1])) { | |
| i = i + m; | |
| } | |
| else { | |
| i = i + gap; | |
| } | |
| } | |
| else { | |
| /* skip: check if next character is part of pattern */ | |
| if (i + 1 <= w && !STRINGLIB_BLOOM(mask, ss[i+1])) { | |
| i = i + m; | |
| } | |
| } | |
| } | |
| return mode == FAST_COUNT ? count : -1; | |
| } | |
| static Py_ssize_t | |
| STRINGLIB(default_rfind)(const STRINGLIB_CHAR* s, Py_ssize_t n, | |
| const STRINGLIB_CHAR* p, Py_ssize_t m, | |
| Py_ssize_t maxcount, int mode) | |
| { | |
| /* create compressed boyer-moore delta 1 table */ | |
| unsigned long mask = 0; | |
| Py_ssize_t i, j, mlast = m - 1, skip = m - 1, w = n - m; | |
| /* process pattern[0] outside the loop */ | |
| STRINGLIB_BLOOM_ADD(mask, p[0]); | |
| /* process pattern[:0:-1] */ | |
| for (i = mlast; i > 0; i--) { | |
| STRINGLIB_BLOOM_ADD(mask, p[i]); | |
| if (p[i] == p[0]) { | |
| skip = i - 1; | |
| } | |
| } | |
| for (i = w; i >= 0; i--) { | |
| if (s[i] == p[0]) { | |
| /* candidate match */ | |
| for (j = mlast; j > 0; j--) { | |
| if (s[i+j] != p[j]) { | |
| break; | |
| } | |
| } | |
| if (j == 0) { | |
| /* got a match! */ | |
| return i; | |
| } | |
| /* miss: check if previous character is part of pattern */ | |
| if (i > 0 && !STRINGLIB_BLOOM(mask, s[i-1])) { | |
| i = i - m; | |
| } | |
| else { | |
| i = i - skip; | |
| } | |
| } | |
| else { | |
| /* skip: check if previous character is part of pattern */ | |
| if (i > 0 && !STRINGLIB_BLOOM(mask, s[i-1])) { | |
| i = i - m; | |
| } | |
| } | |
| } | |
| return -1; | |
| } | |
| static inline Py_ssize_t | |
| STRINGLIB(count_char)(const STRINGLIB_CHAR *s, Py_ssize_t n, | |
| const STRINGLIB_CHAR p0, Py_ssize_t maxcount) | |
| { | |
| Py_ssize_t i, count = 0; | |
| for (i = 0; i < n; i++) { | |
| if (s[i] == p0) { | |
| count++; | |
| if (count == maxcount) { | |
| return maxcount; | |
| } | |
| } | |
| } | |
| return count; | |
| } | |
| static inline Py_ssize_t | |
| STRINGLIB(count_char_no_maxcount)(const STRINGLIB_CHAR *s, Py_ssize_t n, | |
| const STRINGLIB_CHAR p0) | |
| /* A specialized function of count_char that does not cut off at a maximum. | |
| As a result, the compiler is able to vectorize the loop. */ | |
| { | |
| Py_ssize_t count = 0; | |
| for (Py_ssize_t i = 0; i < n; i++) { | |
| if (s[i] == p0) { | |
| count++; | |
| } | |
| } | |
| return count; | |
| } | |
| Py_LOCAL_INLINE(Py_ssize_t) | |
| FASTSEARCH(const STRINGLIB_CHAR* s, Py_ssize_t n, | |
| const STRINGLIB_CHAR* p, Py_ssize_t m, | |
| Py_ssize_t maxcount, int mode) | |
| { | |
| if (n < m || (mode == FAST_COUNT && maxcount == 0)) { | |
| return -1; | |
| } | |
| /* look for special cases */ | |
| if (m <= 1) { | |
| if (m <= 0) { | |
| return -1; | |
| } | |
| /* use special case for 1-character strings */ | |
| if (mode == FAST_SEARCH) | |
| return STRINGLIB(find_char)(s, n, p[0]); | |
| else if (mode == FAST_RSEARCH) | |
| return STRINGLIB(rfind_char)(s, n, p[0]); | |
| else { | |
| if (maxcount == PY_SSIZE_T_MAX) { | |
| return STRINGLIB(count_char_no_maxcount)(s, n, p[0]); | |
| } | |
| return STRINGLIB(count_char)(s, n, p[0], maxcount); | |
| } | |
| } | |
| if (mode != FAST_RSEARCH) { | |
| if (n < 2500 || (m < 100 && n < 30000) || m < 6) { | |
| return STRINGLIB(default_find)(s, n, p, m, maxcount, mode); | |
| } | |
| else if ((m >> 2) * 3 < (n >> 2)) { | |
| /* 33% threshold, but don't overflow. */ | |
| /* For larger problems where the needle isn't a huge | |
| percentage of the size of the haystack, the relatively | |
| expensive O(m) startup cost of the two-way algorithm | |
| will surely pay off. */ | |
| if (mode == FAST_SEARCH) { | |
| return STRINGLIB(_two_way_find)(s, n, p, m); | |
| } | |
| else { | |
| return STRINGLIB(_two_way_count)(s, n, p, m, maxcount); | |
| } | |
| } | |
| else { | |
| /* To ensure that we have good worst-case behavior, | |
| here's an adaptive version of the algorithm, where if | |
| we match O(m) characters without any matches of the | |
| entire needle, then we predict that the startup cost of | |
| the two-way algorithm will probably be worth it. */ | |
| return STRINGLIB(adaptive_find)(s, n, p, m, maxcount, mode); | |
| } | |
| } | |
| else { | |
| /* FAST_RSEARCH */ | |
| return STRINGLIB(default_rfind)(s, n, p, m, maxcount, mode); | |
| } | |
| } | |