mirror of
https://github.com/google/brotli.git
synced 2024-11-26 05:20:04 +00:00
157 lines
6.6 KiB
C
157 lines
6.6 KiB
C
/* NOLINT(build/header_guard) */
|
|
/* Copyright 2013 Google Inc. All Rights Reserved.
|
|
|
|
Distributed under MIT license.
|
|
See file LICENSE for detail or copy at https://opensource.org/licenses/MIT
|
|
*/
|
|
|
|
/* template parameters: FN */
|
|
|
|
#define Hasher HASHER()
|
|
|
|
static void FN(CreateBackwardReferences)(MemoryManager* m,
|
|
size_t num_bytes,
|
|
size_t position,
|
|
int is_last,
|
|
const uint8_t* ringbuffer,
|
|
size_t ringbuffer_mask,
|
|
const int quality,
|
|
const int lgwin,
|
|
Hasher* hasher,
|
|
int* dist_cache,
|
|
size_t* last_insert_len,
|
|
Command* commands,
|
|
size_t* num_commands,
|
|
size_t* num_literals) {
|
|
/* Set maximum distance, see section 9.1. of the spec. */
|
|
const size_t max_backward_limit = MaxBackwardLimit(lgwin);
|
|
|
|
const Command * const orig_commands = commands;
|
|
size_t insert_length = *last_insert_len;
|
|
const size_t pos_end = position + num_bytes;
|
|
const size_t store_end = num_bytes >= FN(StoreLookahead)() ?
|
|
position + num_bytes - FN(StoreLookahead)() + 1 : position;
|
|
|
|
/* For speed up heuristics for random data. */
|
|
const size_t random_heuristics_window_size = quality < 9 ? 64 : 512;
|
|
size_t apply_random_heuristics = position + random_heuristics_window_size;
|
|
|
|
/* Minimum score to accept a backward reference. */
|
|
const double kMinScore = 4.0;
|
|
|
|
FN(Init)(m, hasher, ringbuffer, lgwin, position, num_bytes, is_last);
|
|
if (BROTLI_IS_OOM(m)) return;
|
|
FN(StitchToPreviousBlock)(hasher, num_bytes, position,
|
|
ringbuffer, ringbuffer_mask);
|
|
|
|
while (position + FN(HashTypeLength)() < pos_end) {
|
|
size_t max_length = pos_end - position;
|
|
size_t max_distance = BROTLI_MIN(size_t, position, max_backward_limit);
|
|
size_t best_len = 0;
|
|
size_t best_len_code = 0;
|
|
size_t best_dist = 0;
|
|
double best_score = kMinScore;
|
|
int is_match_found = FN(FindLongestMatch)(hasher, ringbuffer,
|
|
ringbuffer_mask, dist_cache, position, max_length, max_distance,
|
|
&best_len, &best_len_code, &best_dist, &best_score);
|
|
if (is_match_found) {
|
|
/* Found a match. Let's look for something even better ahead. */
|
|
int delayed_backward_references_in_row = 0;
|
|
--max_length;
|
|
for (;; --max_length) {
|
|
size_t best_len_2 =
|
|
quality < 5 ? BROTLI_MIN(size_t, best_len - 1, max_length) : 0;
|
|
size_t best_len_code_2 = 0;
|
|
size_t best_dist_2 = 0;
|
|
double best_score_2 = kMinScore;
|
|
const double cost_diff_lazy = 7.0;
|
|
max_distance = BROTLI_MIN(size_t, position + 1, max_backward_limit);
|
|
is_match_found = FN(FindLongestMatch)(hasher, ringbuffer,
|
|
ringbuffer_mask, dist_cache, position + 1, max_length, max_distance,
|
|
&best_len_2, &best_len_code_2, &best_dist_2, &best_score_2);
|
|
if (is_match_found && best_score_2 >= best_score + cost_diff_lazy) {
|
|
/* Ok, let's just write one byte for now and start a match from the
|
|
next byte. */
|
|
++position;
|
|
++insert_length;
|
|
best_len = best_len_2;
|
|
best_len_code = best_len_code_2;
|
|
best_dist = best_dist_2;
|
|
best_score = best_score_2;
|
|
if (++delayed_backward_references_in_row < 4 &&
|
|
position + FN(HashTypeLength)() < pos_end) {
|
|
continue;
|
|
}
|
|
}
|
|
break;
|
|
}
|
|
apply_random_heuristics =
|
|
position + 2 * best_len + random_heuristics_window_size;
|
|
max_distance = BROTLI_MIN(size_t, position, max_backward_limit);
|
|
{
|
|
/* The first 16 codes are special shortcodes,
|
|
and the minimum offset is 1. */
|
|
size_t distance_code =
|
|
ComputeDistanceCode(best_dist, max_distance, quality, dist_cache);
|
|
if (best_dist <= max_distance && distance_code > 0) {
|
|
dist_cache[3] = dist_cache[2];
|
|
dist_cache[2] = dist_cache[1];
|
|
dist_cache[1] = dist_cache[0];
|
|
dist_cache[0] = (int)best_dist;
|
|
}
|
|
InitCommand(
|
|
commands++, insert_length, best_len, best_len_code, distance_code);
|
|
}
|
|
*num_literals += insert_length;
|
|
insert_length = 0;
|
|
/* Put the hash keys into the table, if there are enough bytes left.
|
|
Depending on the hasher implementation, it can push all positions
|
|
in the given range or only a subset of them. */
|
|
FN(StoreRange)(hasher, ringbuffer, ringbuffer_mask, position + 2,
|
|
BROTLI_MIN(size_t, position + best_len, store_end));
|
|
position += best_len;
|
|
} else {
|
|
++insert_length;
|
|
++position;
|
|
/* If we have not seen matches for a long time, we can skip some
|
|
match lookups. Unsuccessful match lookups are very very expensive
|
|
and this kind of a heuristic speeds up compression quite
|
|
a lot. */
|
|
if (position > apply_random_heuristics) {
|
|
/* Going through uncompressible data, jump. */
|
|
if (position >
|
|
apply_random_heuristics + 4 * random_heuristics_window_size) {
|
|
/* It is quite a long time since we saw a copy, so we assume
|
|
that this data is not compressible, and store hashes less
|
|
often. Hashes of non compressible data are less likely to
|
|
turn out to be useful in the future, too, so we store less of
|
|
them to not to flood out the hash table of good compressible
|
|
data. */
|
|
const size_t kMargin =
|
|
BROTLI_MAX(size_t, FN(StoreLookahead)() - 1, 4);
|
|
size_t pos_jump =
|
|
BROTLI_MIN(size_t, position + 16, pos_end - kMargin);
|
|
for (; position < pos_jump; position += 4) {
|
|
FN(Store)(hasher, ringbuffer, ringbuffer_mask, position);
|
|
insert_length += 4;
|
|
}
|
|
} else {
|
|
const size_t kMargin =
|
|
BROTLI_MAX(size_t, FN(StoreLookahead)() - 1, 2);
|
|
size_t pos_jump =
|
|
BROTLI_MIN(size_t, position + 8, pos_end - kMargin);
|
|
for (; position < pos_jump; position += 2) {
|
|
FN(Store)(hasher, ringbuffer, ringbuffer_mask, position);
|
|
insert_length += 2;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
insert_length += pos_end - position;
|
|
*last_insert_len = insert_length;
|
|
*num_commands += (size_t)(commands - orig_commands);
|
|
}
|
|
|
|
#undef Hasher
|