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aha/lib/ts_fsm.c

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[LIB]: Naive finite state machine based textsearch A finite state machine consists of n states (struct ts_fsm_token) representing the pattern as a finite automation. The data is read sequentially on a octet basis. Every state token specifies the number of recurrences and the type of value accepted which can be either a specific character or ctype based set of characters. The available type of recurrences include 1, (0|1), [0 n], and [1 n]. The algorithm differs between strict/non-strict mode specyfing whether the pattern has to start at the first octect. Strict mode is enabled by default and can be disabled by inserting TS_FSM_HEAD_IGNORE as the first token in the chain. The runtime performance of the algorithm should be around O(n), however while in strict mode the average runtime can be better. Signed-off-by: Thomas Graf <tgraf@suug.ch> Signed-off-by: David S. Miller <davem@davemloft.net>
2005-06-24 03:59:16 +00:00
/*
* lib/ts_fsm.c A naive finite state machine text search approach
*
* 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.
*
* Authors: Thomas Graf <tgraf@suug.ch>
*
* ==========================================================================
*
* A finite state machine consists of n states (struct ts_fsm_token)
* representing the pattern as a finite automation. The data is read
* sequentially on a octet basis. Every state token specifies the number
* of recurrences and the type of value accepted which can be either a
* specific character or ctype based set of characters. The available
* type of recurrences include 1, (0|1), [0 n], and [1 n].
*
* The algorithm differs between strict/non-strict mode specyfing
* whether the pattern has to start at the first octect. Strict mode
* is enabled by default and can be disabled by inserting
* TS_FSM_HEAD_IGNORE as the first token in the chain.
*
* The runtime performance of the algorithm should be around O(n),
* however while in strict mode the average runtime can be better.
*/
#include <linux/config.h>
#include <linux/module.h>
#include <linux/types.h>
#include <linux/string.h>
#include <linux/ctype.h>
#include <linux/textsearch.h>
#include <linux/textsearch_fsm.h>
struct ts_fsm
{
unsigned int ntokens;
struct ts_fsm_token tokens[0];
};
/* other values derived from ctype.h */
#define _A 0x100 /* ascii */
#define _W 0x200 /* wildcard */
/* Map to _ctype flags and some magic numbers */
static u16 token_map[TS_FSM_TYPE_MAX+1] = {
[TS_FSM_SPECIFIC] = 0,
[TS_FSM_WILDCARD] = _W,
[TS_FSM_CNTRL] = _C,
[TS_FSM_LOWER] = _L,
[TS_FSM_UPPER] = _U,
[TS_FSM_PUNCT] = _P,
[TS_FSM_SPACE] = _S,
[TS_FSM_DIGIT] = _D,
[TS_FSM_XDIGIT] = _D | _X,
[TS_FSM_ALPHA] = _U | _L,
[TS_FSM_ALNUM] = _U | _L | _D,
[TS_FSM_PRINT] = _P | _U | _L | _D | _SP,
[TS_FSM_GRAPH] = _P | _U | _L | _D,
[TS_FSM_ASCII] = _A,
};
static u16 token_lookup_tbl[256] = {
_W|_A|_C, _W|_A|_C, _W|_A|_C, _W|_A|_C, /* 0- 3 */
_W|_A|_C, _W|_A|_C, _W|_A|_C, _W|_A|_C, /* 4- 7 */
_W|_A|_C, _W|_A|_C|_S, _W|_A|_C|_S, _W|_A|_C|_S, /* 8- 11 */
_W|_A|_C|_S, _W|_A|_C|_S, _W|_A|_C, _W|_A|_C, /* 12- 15 */
_W|_A|_C, _W|_A|_C, _W|_A|_C, _W|_A|_C, /* 16- 19 */
_W|_A|_C, _W|_A|_C, _W|_A|_C, _W|_A|_C, /* 20- 23 */
_W|_A|_C, _W|_A|_C, _W|_A|_C, _W|_A|_C, /* 24- 27 */
_W|_A|_C, _W|_A|_C, _W|_A|_C, _W|_A|_C, /* 28- 31 */
_W|_A|_S|_SP, _W|_A|_P, _W|_A|_P, _W|_A|_P, /* 32- 35 */
_W|_A|_P, _W|_A|_P, _W|_A|_P, _W|_A|_P, /* 36- 39 */
_W|_A|_P, _W|_A|_P, _W|_A|_P, _W|_A|_P, /* 40- 43 */
_W|_A|_P, _W|_A|_P, _W|_A|_P, _W|_A|_P, /* 44- 47 */
_W|_A|_D, _W|_A|_D, _W|_A|_D, _W|_A|_D, /* 48- 51 */
_W|_A|_D, _W|_A|_D, _W|_A|_D, _W|_A|_D, /* 52- 55 */
_W|_A|_D, _W|_A|_D, _W|_A|_P, _W|_A|_P, /* 56- 59 */
_W|_A|_P, _W|_A|_P, _W|_A|_P, _W|_A|_P, /* 60- 63 */
_W|_A|_P, _W|_A|_U|_X, _W|_A|_U|_X, _W|_A|_U|_X, /* 64- 67 */
_W|_A|_U|_X, _W|_A|_U|_X, _W|_A|_U|_X, _W|_A|_U, /* 68- 71 */
_W|_A|_U, _W|_A|_U, _W|_A|_U, _W|_A|_U, /* 72- 75 */
_W|_A|_U, _W|_A|_U, _W|_A|_U, _W|_A|_U, /* 76- 79 */
_W|_A|_U, _W|_A|_U, _W|_A|_U, _W|_A|_U, /* 80- 83 */
_W|_A|_U, _W|_A|_U, _W|_A|_U, _W|_A|_U, /* 84- 87 */
_W|_A|_U, _W|_A|_U, _W|_A|_U, _W|_A|_P, /* 88- 91 */
_W|_A|_P, _W|_A|_P, _W|_A|_P, _W|_A|_P, /* 92- 95 */
_W|_A|_P, _W|_A|_L|_X, _W|_A|_L|_X, _W|_A|_L|_X, /* 96- 99 */
_W|_A|_L|_X, _W|_A|_L|_X, _W|_A|_L|_X, _W|_A|_L, /* 100-103 */
_W|_A|_L, _W|_A|_L, _W|_A|_L, _W|_A|_L, /* 104-107 */
_W|_A|_L, _W|_A|_L, _W|_A|_L, _W|_A|_L, /* 108-111 */
_W|_A|_L, _W|_A|_L, _W|_A|_L, _W|_A|_L, /* 112-115 */
_W|_A|_L, _W|_A|_L, _W|_A|_L, _W|_A|_L, /* 116-119 */
_W|_A|_L, _W|_A|_L, _W|_A|_L, _W|_A|_P, /* 120-123 */
_W|_A|_P, _W|_A|_P, _W|_A|_P, _W|_A|_C, /* 124-127 */
_W, _W, _W, _W, /* 128-131 */
_W, _W, _W, _W, /* 132-135 */
_W, _W, _W, _W, /* 136-139 */
_W, _W, _W, _W, /* 140-143 */
_W, _W, _W, _W, /* 144-147 */
_W, _W, _W, _W, /* 148-151 */
_W, _W, _W, _W, /* 152-155 */
_W, _W, _W, _W, /* 156-159 */
_W|_S|_SP, _W|_P, _W|_P, _W|_P, /* 160-163 */
_W|_P, _W|_P, _W|_P, _W|_P, /* 164-167 */
_W|_P, _W|_P, _W|_P, _W|_P, /* 168-171 */
_W|_P, _W|_P, _W|_P, _W|_P, /* 172-175 */
_W|_P, _W|_P, _W|_P, _W|_P, /* 176-179 */
_W|_P, _W|_P, _W|_P, _W|_P, /* 180-183 */
_W|_P, _W|_P, _W|_P, _W|_P, /* 184-187 */
_W|_P, _W|_P, _W|_P, _W|_P, /* 188-191 */
_W|_U, _W|_U, _W|_U, _W|_U, /* 192-195 */
_W|_U, _W|_U, _W|_U, _W|_U, /* 196-199 */
_W|_U, _W|_U, _W|_U, _W|_U, /* 200-203 */
_W|_U, _W|_U, _W|_U, _W|_U, /* 204-207 */
_W|_U, _W|_U, _W|_U, _W|_U, /* 208-211 */
_W|_U, _W|_U, _W|_U, _W|_P, /* 212-215 */
_W|_U, _W|_U, _W|_U, _W|_U, /* 216-219 */
_W|_U, _W|_U, _W|_U, _W|_L, /* 220-223 */
_W|_L, _W|_L, _W|_L, _W|_L, /* 224-227 */
_W|_L, _W|_L, _W|_L, _W|_L, /* 228-231 */
_W|_L, _W|_L, _W|_L, _W|_L, /* 232-235 */
_W|_L, _W|_L, _W|_L, _W|_L, /* 236-239 */
_W|_L, _W|_L, _W|_L, _W|_L, /* 240-243 */
_W|_L, _W|_L, _W|_L, _W|_P, /* 244-247 */
_W|_L, _W|_L, _W|_L, _W|_L, /* 248-251 */
_W|_L, _W|_L, _W|_L, _W|_L}; /* 252-255 */
static inline int match_token(struct ts_fsm_token *t, u8 d)
{
if (t->type)
return (token_lookup_tbl[d] & t->type) != 0;
else
return t->value == d;
}
static unsigned int fsm_find(struct ts_config *conf, struct ts_state *state)
{
struct ts_fsm *fsm = ts_config_priv(conf);
struct ts_fsm_token *cur = NULL, *next;
unsigned int match_start, block_idx = 0, tok_idx;
unsigned block_len = 0, strict, consumed = state->offset;
const u8 *data;
#define GET_NEXT_BLOCK() \
({ consumed += block_idx; \
block_idx = 0; \
block_len = conf->get_next_block(consumed, &data, conf, state); })
#define TOKEN_MISMATCH() \
do { \
if (strict) \
goto no_match; \
block_idx++; \
goto startover; \
} while(0)
#define end_of_data() unlikely(block_idx >= block_len && !GET_NEXT_BLOCK())
if (end_of_data())
goto no_match;
strict = fsm->tokens[0].recur != TS_FSM_HEAD_IGNORE;
startover:
match_start = consumed + block_idx;
for (tok_idx = 0; tok_idx < fsm->ntokens; tok_idx++) {
cur = &fsm->tokens[tok_idx];
if (likely(tok_idx < (fsm->ntokens - 1)))
next = &fsm->tokens[tok_idx + 1];
else
next = NULL;
switch (cur->recur) {
case TS_FSM_SINGLE:
if (end_of_data())
goto no_match;
if (!match_token(cur, data[block_idx]))
TOKEN_MISMATCH();
break;
case TS_FSM_PERHAPS:
if (end_of_data() ||
!match_token(cur, data[block_idx]))
continue;
break;
case TS_FSM_MULTI:
if (end_of_data())
goto no_match;
if (!match_token(cur, data[block_idx]))
TOKEN_MISMATCH();
block_idx++;
/* fall through */
case TS_FSM_ANY:
if (next == NULL)
goto found_match;
if (end_of_data())
continue;
while (!match_token(next, data[block_idx])) {
if (!match_token(cur, data[block_idx]))
TOKEN_MISMATCH();
block_idx++;
if (end_of_data())
goto no_match;
}
continue;
/*
* Optimization: Prefer small local loop over jumping
* back and forth until garbage at head is munched.
*/
case TS_FSM_HEAD_IGNORE:
if (end_of_data())
continue;
while (!match_token(next, data[block_idx])) {
/*
* Special case, don't start over upon
* a mismatch, give the user the
* chance to specify the type of data
* allowed to be ignored.
*/
if (!match_token(cur, data[block_idx]))
goto no_match;
block_idx++;
if (end_of_data())
goto no_match;
}
match_start = consumed + block_idx;
continue;
}
block_idx++;
}
if (end_of_data())
goto found_match;
no_match:
return UINT_MAX;
found_match:
state->offset = consumed + block_idx;
return match_start;
}
static struct ts_config *fsm_init(const void *pattern, unsigned int len,
[PATCH] gfp flags annotations - part 1 - added typedef unsigned int __nocast gfp_t; - replaced __nocast uses for gfp flags with gfp_t - it gives exactly the same warnings as far as sparse is concerned, doesn't change generated code (from gcc point of view we replaced unsigned int with typedef) and documents what's going on far better. Signed-off-by: Al Viro <viro@zeniv.linux.org.uk> Signed-off-by: Linus Torvalds <torvalds@osdl.org>
2005-10-07 06:46:04 +00:00
gfp_t gfp_mask)
[LIB]: Naive finite state machine based textsearch A finite state machine consists of n states (struct ts_fsm_token) representing the pattern as a finite automation. The data is read sequentially on a octet basis. Every state token specifies the number of recurrences and the type of value accepted which can be either a specific character or ctype based set of characters. The available type of recurrences include 1, (0|1), [0 n], and [1 n]. The algorithm differs between strict/non-strict mode specyfing whether the pattern has to start at the first octect. Strict mode is enabled by default and can be disabled by inserting TS_FSM_HEAD_IGNORE as the first token in the chain. The runtime performance of the algorithm should be around O(n), however while in strict mode the average runtime can be better. Signed-off-by: Thomas Graf <tgraf@suug.ch> Signed-off-by: David S. Miller <davem@davemloft.net>
2005-06-24 03:59:16 +00:00
{
int i, err = -EINVAL;
struct ts_config *conf;
struct ts_fsm *fsm;
struct ts_fsm_token *tokens = (struct ts_fsm_token *) pattern;
unsigned int ntokens = len / sizeof(*tokens);
size_t priv_size = sizeof(*fsm) + len;
if (len % sizeof(struct ts_fsm_token) || ntokens < 1)
goto errout;
for (i = 0; i < ntokens; i++) {
struct ts_fsm_token *t = &tokens[i];
if (t->type > TS_FSM_TYPE_MAX || t->recur > TS_FSM_RECUR_MAX)
goto errout;
if (t->recur == TS_FSM_HEAD_IGNORE &&
(i != 0 || i == (ntokens - 1)))
goto errout;
}
conf = alloc_ts_config(priv_size, gfp_mask);
if (IS_ERR(conf))
return conf;
fsm = ts_config_priv(conf);
fsm->ntokens = ntokens;
memcpy(fsm->tokens, pattern, len);
for (i = 0; i < fsm->ntokens; i++) {
struct ts_fsm_token *t = &fsm->tokens[i];
t->type = token_map[t->type];
}
return conf;
errout:
return ERR_PTR(err);
}
static void *fsm_get_pattern(struct ts_config *conf)
{
struct ts_fsm *fsm = ts_config_priv(conf);
return fsm->tokens;
}
static unsigned int fsm_get_pattern_len(struct ts_config *conf)
{
struct ts_fsm *fsm = ts_config_priv(conf);
return fsm->ntokens * sizeof(struct ts_fsm_token);
}
static struct ts_ops fsm_ops = {
.name = "fsm",
.find = fsm_find,
.init = fsm_init,
.get_pattern = fsm_get_pattern,
.get_pattern_len = fsm_get_pattern_len,
.owner = THIS_MODULE,
.list = LIST_HEAD_INIT(fsm_ops.list)
};
static int __init init_fsm(void)
{
return textsearch_register(&fsm_ops);
}
static void __exit exit_fsm(void)
{
textsearch_unregister(&fsm_ops);
}
MODULE_LICENSE("GPL");
module_init(init_fsm);
module_exit(exit_fsm);
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