Revision 3f0c3c8fe30c725c1264fb6db8cc4b69db3a658a authored by Linus Torvalds on 15 September 2012, 01:05:14 UTC, committed by Linus Torvalds on 15 September 2012, 01:05:14 UTC
Pull GFS2 fixes from Steven Whitehouse:
 "Here are three GFS2 fixes for the current kernel tree.  These are all
  related to the block reservation code which was added at the merge
  window.  That code will be getting an update at the forthcoming merge
  window too.  In the mean time though there are a few smaller issues
  which should be fixed.

  The first patch resolves an issue with write sizes of greater than 32
  bits with the size hinting code.  The second ensures that the
  allocation data structure is initialised when using xattrs and the
  third takes into account allocations which may have been made by other
  nodes which affect a reservation on the local node."

* git://git.kernel.org/pub/scm/linux/kernel/git/steve/gfs2-3.0-fixes:
  GFS2: Take account of blockages when using reserved blocks
  GFS2: Fix missing allocation data for set/remove xattr
  GFS2: Make write size hinting code common
2 parent s 9cb0ee8 + 62e252e
Raw File
ts_kmp.c
/*
 * lib/ts_kmp.c		Knuth-Morris-Pratt text search implementation
 *
 *		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>
 *
 * ==========================================================================
 * 
 *   Implements a linear-time string-matching algorithm due to Knuth,
 *   Morris, and Pratt [1]. Their algorithm avoids the explicit
 *   computation of the transition function DELTA altogether. Its
 *   matching time is O(n), for n being length(text), using just an
 *   auxiliary function PI[1..m], for m being length(pattern),
 *   precomputed from the pattern in time O(m). The array PI allows
 *   the transition function DELTA to be computed efficiently
 *   "on the fly" as needed. Roughly speaking, for any state
 *   "q" = 0,1,...,m and any character "a" in SIGMA, the value
 *   PI["q"] contains the information that is independent of "a" and
 *   is needed to compute DELTA("q", "a") [2]. Since the array PI
 *   has only m entries, whereas DELTA has O(m|SIGMA|) entries, we
 *   save a factor of |SIGMA| in the preprocessing time by computing
 *   PI rather than DELTA.
 *
 *   [1] Cormen, Leiserson, Rivest, Stein
 *       Introdcution to Algorithms, 2nd Edition, MIT Press
 *   [2] See finite automation theory
 */

#include <linux/module.h>
#include <linux/types.h>
#include <linux/string.h>
#include <linux/ctype.h>
#include <linux/textsearch.h>

struct ts_kmp
{
	u8 *		pattern;
	unsigned int	pattern_len;
	unsigned int 	prefix_tbl[0];
};

static unsigned int kmp_find(struct ts_config *conf, struct ts_state *state)
{
	struct ts_kmp *kmp = ts_config_priv(conf);
	unsigned int i, q = 0, text_len, consumed = state->offset;
	const u8 *text;
	const int icase = conf->flags & TS_IGNORECASE;

	for (;;) {
		text_len = conf->get_next_block(consumed, &text, conf, state);

		if (unlikely(text_len == 0))
			break;

		for (i = 0; i < text_len; i++) {
			while (q > 0 && kmp->pattern[q]
			    != (icase ? toupper(text[i]) : text[i]))
				q = kmp->prefix_tbl[q - 1];
			if (kmp->pattern[q]
			    == (icase ? toupper(text[i]) : text[i]))
				q++;
			if (unlikely(q == kmp->pattern_len)) {
				state->offset = consumed + i + 1;
				return state->offset - kmp->pattern_len;
			}
		}

		consumed += text_len;
	}

	return UINT_MAX;
}

static inline void compute_prefix_tbl(const u8 *pattern, unsigned int len,
				      unsigned int *prefix_tbl, int flags)
{
	unsigned int k, q;
	const u8 icase = flags & TS_IGNORECASE;

	for (k = 0, q = 1; q < len; q++) {
		while (k > 0 && (icase ? toupper(pattern[k]) : pattern[k])
		    != (icase ? toupper(pattern[q]) : pattern[q]))
			k = prefix_tbl[k-1];
		if ((icase ? toupper(pattern[k]) : pattern[k])
		    == (icase ? toupper(pattern[q]) : pattern[q]))
			k++;
		prefix_tbl[q] = k;
	}
}

static struct ts_config *kmp_init(const void *pattern, unsigned int len,
				  gfp_t gfp_mask, int flags)
{
	struct ts_config *conf;
	struct ts_kmp *kmp;
	int i;
	unsigned int prefix_tbl_len = len * sizeof(unsigned int);
	size_t priv_size = sizeof(*kmp) + len + prefix_tbl_len;

	conf = alloc_ts_config(priv_size, gfp_mask);
	if (IS_ERR(conf))
		return conf;

	conf->flags = flags;
	kmp = ts_config_priv(conf);
	kmp->pattern_len = len;
	compute_prefix_tbl(pattern, len, kmp->prefix_tbl, flags);
	kmp->pattern = (u8 *) kmp->prefix_tbl + prefix_tbl_len;
	if (flags & TS_IGNORECASE)
		for (i = 0; i < len; i++)
			kmp->pattern[i] = toupper(((u8 *)pattern)[i]);
	else
		memcpy(kmp->pattern, pattern, len);

	return conf;
}

static void *kmp_get_pattern(struct ts_config *conf)
{
	struct ts_kmp *kmp = ts_config_priv(conf);
	return kmp->pattern;
}

static unsigned int kmp_get_pattern_len(struct ts_config *conf)
{
	struct ts_kmp *kmp = ts_config_priv(conf);
	return kmp->pattern_len;
}

static struct ts_ops kmp_ops = {
	.name		  = "kmp",
	.find		  = kmp_find,
	.init		  = kmp_init,
	.get_pattern	  = kmp_get_pattern,
	.get_pattern_len  = kmp_get_pattern_len,
	.owner		  = THIS_MODULE,
	.list		  = LIST_HEAD_INIT(kmp_ops.list)
};

static int __init init_kmp(void)
{
	return textsearch_register(&kmp_ops);
}

static void __exit exit_kmp(void)
{
	textsearch_unregister(&kmp_ops);
}

MODULE_LICENSE("GPL");

module_init(init_kmp);
module_exit(exit_kmp);
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