| /* 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, | |
| ContextLut literal_context_lut, const BrotliEncoderParams* params, | |
| Hasher* hasher, int* dist_cache, size_t* last_insert_len, | |
| Command* commands, size_t* num_commands, size_t* num_literals) { | |
| HASHER()* privat = &hasher->privat.FN(_); | |
| /* Set maximum distance, see section 9.1. of the spec. */ | |
| const size_t max_backward_limit = BROTLI_MAX_BACKWARD_LIMIT(params->lgwin); | |
| const size_t position_offset = params->stream_offset; | |
| 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 = params->dictionary.compound.total_size; | |
| /* Minimum score to accept a backward reference. */ | |
| const score_t kMinScore = BROTLI_SCORE_BASE + 100; | |
| FN(PrepareDistanceCache)(privat, 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); | |
| size_t dictionary_start = BROTLI_MIN(size_t, | |
| position + position_offset, max_backward_limit); | |
| HasherSearchResult sr; | |
| int dict_id = 0; | |
| uint8_t p1 = 0; | |
| uint8_t p2 = 0; | |
| if (params->dictionary.contextual.context_based) { | |
| p1 = position >= 1 ? | |
| ringbuffer[(size_t)(position - 1) & ringbuffer_mask] : 0; | |
| p2 = position >= 2 ? | |
| ringbuffer[(size_t)(position - 2) & ringbuffer_mask] : 0; | |
| dict_id = params->dictionary.contextual.context_map[ | |
| BROTLI_CONTEXT(p1, p2, literal_context_lut)]; | |
| } | |
| sr.len = 0; | |
| sr.len_code_delta = 0; | |
| sr.distance = 0; | |
| sr.score = kMinScore; | |
| FN(FindLongestMatch)(privat, params->dictionary.contextual.dict[dict_id], | |
| ringbuffer, ringbuffer_mask, dist_cache, position, max_length, | |
| max_distance, dictionary_start + gap, params->dist.max_distance, &sr); | |
| if (ENABLE_COMPOUND_DICTIONARY) { | |
| LookupCompoundDictionaryMatch(¶ms->dictionary.compound, ringbuffer, | |
| ringbuffer_mask, dist_cache, position, max_length, | |
| dictionary_start, 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); | |
| dictionary_start = BROTLI_MIN(size_t, | |
| position + 1 + position_offset, max_backward_limit); | |
| if (params->dictionary.contextual.context_based) { | |
| p2 = p1; | |
| p1 = ringbuffer[position & ringbuffer_mask]; | |
| dict_id = params->dictionary.contextual.context_map[ | |
| BROTLI_CONTEXT(p1, p2, literal_context_lut)]; | |
| } | |
| FN(FindLongestMatch)(privat, | |
| params->dictionary.contextual.dict[dict_id], | |
| ringbuffer, ringbuffer_mask, dist_cache, position + 1, max_length, | |
| max_distance, dictionary_start + gap, params->dist.max_distance, | |
| &sr2); | |
| if (ENABLE_COMPOUND_DICTIONARY) { | |
| LookupCompoundDictionaryMatch( | |
| ¶ms->dictionary.compound, ringbuffer, | |
| ringbuffer_mask, dist_cache, position + 1, max_length, | |
| dictionary_start, 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; | |
| dictionary_start = BROTLI_MIN(size_t, | |
| position + position_offset, max_backward_limit); | |
| { | |
| /* The first 16 codes are special short-codes, | |
| and the minimum offset is 1. */ | |
| size_t distance_code = ComputeDistanceCode( | |
| sr.distance, dictionary_start + gap, dist_cache); | |
| if ((sr.distance <= (dictionary_start + 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)(privat, 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)(privat, 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)(privat, 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)(privat, ringbuffer, ringbuffer_mask, position); | |
| insert_length += 2; | |
| } | |
| } | |
| } | |
| } | |
| } | |
| insert_length += pos_end - position; | |
| *last_insert_len = insert_length; | |
| *num_commands += (size_t)(commands - orig_commands); | |
| } |