1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
|
/* 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: EXPORT_FN, FN */
static BROTLI_NOINLINE void EXPORT_FN(CreateBackwardReferences)(
size_t num_bytes, size_t position,
const uint8_t* ringbuffer, size_t ringbuffer_mask,
const BrotliEncoderParams* params,
HasherHandle 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 = BROTLI_MAX_BACKWARD_LIMIT(params->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 =
LiteralSpreeLengthForSparseSearch(params);
size_t apply_random_heuristics = position + random_heuristics_window_size;
const size_t gap = 0;
/* Minimum score to accept a backward reference. */
const score_t kMinScore = BROTLI_SCORE_BASE + 100;
FN(PrepareDistanceCache)(hasher, dist_cache);
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);
HasherSearchResult sr;
sr.len = 0;
sr.len_code_delta = 0;
sr.distance = 0;
sr.score = kMinScore;
FN(FindLongestMatch)(hasher, ¶ms->dictionary,
ringbuffer, ringbuffer_mask, dist_cache, position, max_length,
max_distance, gap, params->dist.max_distance, &sr);
if (sr.score > kMinScore) {
/* Found a match. Let's look for something even better ahead. */
int delayed_backward_references_in_row = 0;
--max_length;
for (;; --max_length) {
const score_t cost_diff_lazy = 175;
HasherSearchResult sr2;
sr2.len = params->quality < MIN_QUALITY_FOR_EXTENSIVE_REFERENCE_SEARCH ?
BROTLI_MIN(size_t, sr.len - 1, max_length) : 0;
sr2.len_code_delta = 0;
sr2.distance = 0;
sr2.score = kMinScore;
max_distance = BROTLI_MIN(size_t, position + 1, max_backward_limit);
FN(FindLongestMatch)(hasher,
¶ms->dictionary,
ringbuffer, ringbuffer_mask, dist_cache, position + 1, max_length,
max_distance, gap, params->dist.max_distance, &sr2);
if (sr2.score >= sr.score + cost_diff_lazy) {
/* Ok, let's just write one byte for now and start a match from the
next byte. */
++position;
++insert_length;
sr = sr2;
if (++delayed_backward_references_in_row < 4 &&
position + FN(HashTypeLength)() < pos_end) {
continue;
}
}
break;
}
apply_random_heuristics =
position + 2 * sr.len + random_heuristics_window_size;
max_distance = BROTLI_MIN(size_t, position, max_backward_limit);
{
/* The first 16 codes are special short-codes,
and the minimum offset is 1. */
size_t distance_code = ComputeDistanceCode(
sr.distance, max_distance + gap, dist_cache);
if ((sr.distance <= (max_distance + gap)) && 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)sr.distance;
FN(PrepareDistanceCache)(hasher, dist_cache);
}
InitCommand(commands++, ¶ms->dist, insert_length,
sr.len, sr.len_code_delta, 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.
Avoid hash poisoning with RLE data. */
{
size_t range_start = position + 2;
size_t range_end = BROTLI_MIN(size_t, position + sr.len, store_end);
if (sr.distance < (sr.len >> 2)) {
range_start = BROTLI_MIN(size_t, range_end, BROTLI_MAX(size_t,
range_start, position + sr.len - (sr.distance << 2)));
}
FN(StoreRange)(hasher, ringbuffer, ringbuffer_mask, range_start,
range_end);
}
position += sr.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);
}
|
