Factor out serialization functions into their own file.

Create a brotli_bit_stream library that is responsible for writing
various structures (headers, Huffman codes, etc.) directly into the
bit-stream.
This commit is contained in:
Zoltan Szabadka 2014-10-15 14:01:36 +02:00
parent 12c6d1fbe4
commit d6d9fc60e1
7 changed files with 494 additions and 302 deletions

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@ -91,7 +91,7 @@ static inline int HuffmanBitCost(const uint8_t* depth, int length) {
// create huffman tree of huffman tree // create huffman tree of huffman tree
uint8_t cost[kCodeLengthCodes] = { 0 }; uint8_t cost[kCodeLengthCodes] = { 0 };
CreateHuffmanTree(histogram, kCodeLengthCodes, 7, cost); CreateHuffmanTree(histogram, kCodeLengthCodes, 7, 9, cost);
// account for rle extra bits // account for rle extra bits
cost[16] += 2; cost[16] += 2;
cost[17] += 3; cost[17] += 3;
@ -123,7 +123,7 @@ double PopulationCost(const Histogram<kSize>& histogram) {
return 20 + histogram.total_count_; return 20 + histogram.total_count_;
} }
uint8_t depth[kSize] = { 0 }; uint8_t depth[kSize] = { 0 };
CreateHuffmanTree(&histogram.data_[0], kSize, 15, depth); CreateHuffmanTree(&histogram.data_[0], kSize, 15, 9, depth);
int bits = 0; int bits = 0;
for (int i = 0; i < kSize; ++i) { for (int i = 0; i < kSize; ++i) {
bits += histogram.data_[i] * depth[i]; bits += histogram.data_[i] * depth[i];

342
enc/brotli_bit_stream.cc Normal file
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@ -0,0 +1,342 @@
// Copyright 2014 Google Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Brotli bit stream functions to support the low level format. There are no
// compression algorithms here, just the right ordering of bits to match the
// specs.
#include "./brotli_bit_stream.h"
#include <vector>
#include "./entropy_encode.h"
#include "./fast_log.h"
#include "./write_bits.h"
namespace brotli {
// returns false if fail
// nibblesbits represents the 2 bits to encode MNIBBLES (0-3)
bool EncodeMlen(size_t length, int* bits, int* numbits, int* nibblesbits) {
length--; // MLEN - 1 is encoded
int lg = length == 0 ? 1 : Log2Floor(length) + 1;
if (lg > 28) return false;
int mnibbles = (lg < 16 ? 16 : (lg + 3)) / 4;
*nibblesbits = mnibbles - 4;
*numbits = mnibbles * 4;
*bits = length;
return true;
}
void StoreVarLenUint8(int n, int* storage_ix, uint8_t* storage) {
if (n == 0) {
WriteBits(1, 0, storage_ix, storage);
} else {
WriteBits(1, 1, storage_ix, storage);
int nbits = Log2Floor(n);
WriteBits(3, nbits, storage_ix, storage);
WriteBits(nbits, n - (1 << nbits), storage_ix, storage);
}
}
void StoreCompressedMetaBlockHeader(bool final_block,
int length,
int* storage_ix,
uint8_t* storage) {
// Write ISLAST bit.
WriteBits(1, final_block, storage_ix, storage);
// Write ISEMPTY bit.
if (final_block) WriteBits(1, length == 0, storage_ix, storage);
int lenbits;
int nlenbits;
int nibblesbits;
EncodeMlen(length, &lenbits, &nlenbits, &nibblesbits);
WriteBits(2, nibblesbits, storage_ix, storage);
WriteBits(nlenbits, lenbits, storage_ix, storage);
if (!final_block) {
// Write ISUNCOMPRESSED bit.
WriteBits(1, 0, storage_ix, storage);
}
}
void StoreUncompressedMetaBlockHeader(int length,
int* storage_ix,
uint8_t* storage) {
// Write ISLAST bit. Uncompressed block cannot be the last one, so set to 0.
WriteBits(1, 0, storage_ix, storage);
int lenbits;
int nlenbits;
int nibblesbits;
EncodeMlen(length, &lenbits, &nlenbits, &nibblesbits);
WriteBits(2, nibblesbits, storage_ix, storage);
WriteBits(nlenbits, lenbits, storage_ix, storage);
// Write ISUNCOMPRESSED bit.
WriteBits(1, 1, storage_ix, storage);
}
void StoreHuffmanTreeOfHuffmanTreeToBitMask(
const int num_codes,
const uint8_t *code_length_bitdepth,
int *storage_ix,
uint8_t *storage) {
static const uint8_t kStorageOrder[kCodeLengthCodes] = {
1, 2, 3, 4, 0, 5, 17, 6, 16, 7, 8, 9, 10, 11, 12, 13, 14, 15
};
// The bit lengths of the Huffman code over the code length alphabet
// are compressed with the following static Huffman code:
// Symbol Code
// ------ ----
// 0 00
// 1 1110
// 2 110
// 3 01
// 4 10
// 5 1111
static const uint8_t kHuffmanBitLengthHuffmanCodeSymbols[6] = {
0, 7, 3, 2, 1, 15
};
static const uint8_t kHuffmanBitLengthHuffmanCodeBitLengths[6] = {
2, 4, 3, 2, 2, 4
};
// Throw away trailing zeros:
int codes_to_store = kCodeLengthCodes;
if (num_codes > 1) {
for (; codes_to_store > 0; --codes_to_store) {
if (code_length_bitdepth[kStorageOrder[codes_to_store - 1]] != 0) {
break;
}
}
}
int skip_some = 0; // skips none.
if (code_length_bitdepth[kStorageOrder[0]] == 0 &&
code_length_bitdepth[kStorageOrder[1]] == 0) {
skip_some = 2; // skips two.
if (code_length_bitdepth[kStorageOrder[2]] == 0) {
skip_some = 3; // skips three.
}
}
WriteBits(2, skip_some, storage_ix, storage);
for (int i = skip_some; i < codes_to_store; ++i) {
uint8_t l = code_length_bitdepth[kStorageOrder[i]];
WriteBits(kHuffmanBitLengthHuffmanCodeBitLengths[l],
kHuffmanBitLengthHuffmanCodeSymbols[l], storage_ix, storage);
}
}
void StoreHuffmanTreeToBitMask(
const std::vector<uint8_t> &huffman_tree,
const std::vector<uint8_t> &huffman_tree_extra_bits,
const uint8_t *code_length_bitdepth,
const std::vector<uint16_t> &code_length_bitdepth_symbols,
int * __restrict storage_ix,
uint8_t * __restrict storage) {
for (int i = 0; i < huffman_tree.size(); ++i) {
int ix = huffman_tree[i];
WriteBits(code_length_bitdepth[ix], code_length_bitdepth_symbols[ix],
storage_ix, storage);
// Extra bits
switch (ix) {
case 16:
WriteBits(2, huffman_tree_extra_bits[i], storage_ix, storage);
break;
case 17:
WriteBits(3, huffman_tree_extra_bits[i], storage_ix, storage);
break;
}
}
}
void StoreSimpleHuffmanTree(const uint8_t* depths,
int symbols[4],
int num_symbols,
int max_bits,
int *storage_ix, uint8_t *storage) {
// value of 1 indicates a simple Huffman code
WriteBits(2, 1, storage_ix, storage);
WriteBits(2, num_symbols - 1, storage_ix, storage); // NSYM - 1
// Sort
for (int i = 0; i < num_symbols; i++) {
for (int j = i + 1; j < num_symbols; j++) {
if (depths[symbols[j]] < depths[symbols[i]]) {
std::swap(symbols[j], symbols[i]);
}
}
}
if (num_symbols == 2) {
WriteBits(max_bits, symbols[0], storage_ix, storage);
WriteBits(max_bits, symbols[1], storage_ix, storage);
} else if (num_symbols == 3) {
WriteBits(max_bits, symbols[0], storage_ix, storage);
WriteBits(max_bits, symbols[1], storage_ix, storage);
WriteBits(max_bits, symbols[2], storage_ix, storage);
} else {
WriteBits(max_bits, symbols[0], storage_ix, storage);
WriteBits(max_bits, symbols[1], storage_ix, storage);
WriteBits(max_bits, symbols[2], storage_ix, storage);
WriteBits(max_bits, symbols[3], storage_ix, storage);
// tree-select
WriteBits(1, depths[symbols[0]] == 1 ? 1 : 0, storage_ix, storage);
}
}
// num = alphabet size
// depths = symbol depths
void StoreHuffmanTree(const uint8_t* depths, size_t num,
int quality,
int *storage_ix, uint8_t *storage) {
// Write the Huffman tree into the brotli-representation.
std::vector<uint8_t> huffman_tree;
std::vector<uint8_t> huffman_tree_extra_bits;
// TODO(user): Consider allocating these from stack.
huffman_tree.reserve(256);
huffman_tree_extra_bits.reserve(256);
WriteHuffmanTree(depths, num, &huffman_tree, &huffman_tree_extra_bits);
// Calculate the statistics of the Huffman tree in brotli-representation.
int huffman_tree_histogram[kCodeLengthCodes] = { 0 };
for (int i = 0; i < huffman_tree.size(); ++i) {
++huffman_tree_histogram[huffman_tree[i]];
}
int num_codes = 0;
int code = 0;
for (int i = 0; i < kCodeLengthCodes; ++i) {
if (huffman_tree_histogram[i]) {
if (num_codes == 0) {
code = i;
num_codes = 1;
} else if (num_codes == 1) {
num_codes = 2;
break;
}
}
}
// Calculate another Huffman tree to use for compressing both the
// earlier Huffman tree with.
// TODO(user): Consider allocating these from stack.
uint8_t code_length_bitdepth[kCodeLengthCodes] = { 0 };
std::vector<uint16_t> code_length_bitdepth_symbols(kCodeLengthCodes);
CreateHuffmanTree(&huffman_tree_histogram[0], kCodeLengthCodes,
5, quality, &code_length_bitdepth[0]);
ConvertBitDepthsToSymbols(code_length_bitdepth, kCodeLengthCodes,
code_length_bitdepth_symbols.data());
// Now, we have all the data, let's start storing it
StoreHuffmanTreeOfHuffmanTreeToBitMask(num_codes, code_length_bitdepth,
storage_ix, storage);
if (num_codes == 1) {
code_length_bitdepth[code] = 0;
}
// Store the real huffman tree now.
StoreHuffmanTreeToBitMask(huffman_tree,
huffman_tree_extra_bits,
&code_length_bitdepth[0],
code_length_bitdepth_symbols,
storage_ix, storage);
}
void BuildAndStoreHuffmanTree(const int *histogram,
const int length,
const int quality,
uint8_t* depth,
uint16_t* bits,
int* storage_ix,
uint8_t* storage) {
int count = 0;
int s4[4] = { 0 };
for (size_t i = 0; i < length; i++) {
if (histogram[i]) {
if (count < 4) {
s4[count] = i;
} else if (quality < 3 && count > 4) {
break;
}
count++;
}
}
int max_bits_counter = length - 1;
int max_bits = 0;
while (max_bits_counter) {
max_bits_counter >>= 1;
++max_bits;
}
if (count <= 1) {
WriteBits(4, 1, storage_ix, storage);
WriteBits(max_bits, s4[0], storage_ix, storage);
return;
}
if (length >= 50 && count >= 16 && quality >= 3) {
std::vector<int> counts(length);
memcpy(&counts[0], histogram, sizeof(counts[0]) * length);
OptimizeHuffmanCountsForRle(length, &counts[0]);
CreateHuffmanTree(&counts[0], length, 15, quality, depth);
} else {
CreateHuffmanTree(histogram, length, 15, quality, depth);
}
ConvertBitDepthsToSymbols(depth, length, bits);
if (count <= 4) {
StoreSimpleHuffmanTree(depth, s4, count, max_bits, storage_ix, storage);
} else {
StoreHuffmanTree(depth, length, quality, storage_ix, storage);
}
}
void StoreTrivialContextMap(int num_types,
int context_bits,
int* storage_ix,
uint8_t* storage) {
StoreVarLenUint8(num_types - 1, storage_ix, storage);
if (num_types > 1) {
int repeat_code = context_bits - 1;
int repeat_bits = (1 << repeat_code) - 1;
int alphabet_size = num_types + repeat_code;
std::vector<int> histogram(alphabet_size);
std::vector<uint8_t> depths(alphabet_size);
std::vector<uint16_t> bits(alphabet_size);
// Write RLEMAX.
WriteBits(1, 1, storage_ix, storage);
WriteBits(4, repeat_code - 1, storage_ix, storage);
histogram[repeat_code] = num_types;
histogram[0] = 1;
for (int i = context_bits; i < alphabet_size; ++i) {
histogram[i] = 1;
}
BuildAndStoreHuffmanTree(&histogram[0], alphabet_size, 1,
&depths[0], &bits[0],
storage_ix, storage);
for (int i = 0; i < num_types; ++i) {
int code = (i == 0 ? 0 : i + context_bits - 1);
WriteBits(depths[code], bits[code], storage_ix, storage);
WriteBits(depths[repeat_code], bits[repeat_code], storage_ix, storage);
WriteBits(repeat_code, repeat_bits, storage_ix, storage);
}
// Write IMTF (inverse-move-to-front) bit.
WriteBits(1, 1, storage_ix, storage);
}
}
} // namespace brotli

67
enc/brotli_bit_stream.h Normal file
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@ -0,0 +1,67 @@
// Copyright 2014 Google Inc. All Rights Reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//
// Functions to convert brotli-related data structures into the
// brotli bit stream. The functions here operate under
// assumption that there is enough space in the storage, i.e., there are
// no out-of-range checks anywhere.
//
// These functions do bit addressing into a byte array. The byte array
// is called "storage" and the index to the bit is called storage_ix
// in function arguments.
#ifndef BROTLI_ENC_BROTLI_BIT_STREAM_H_
#define BROTLI_ENC_BROTLI_BIT_STREAM_H_
#include <stddef.h>
#include <stdint.h>
namespace brotli {
// All Store functions here will use a storage_ix, which is always the bit
// position for the current storage.
// Stores a number between 0 and 255.
void StoreVarLenUint8(int n, int* storage_ix, uint8_t* storage);
// Stores the compressed meta-block header.
void StoreCompressedMetaBlockHeader(bool final_block,
int length,
int* storage_ix,
uint8_t* storage);
// Stores the uncompressed meta-block header.
void StoreUncompressedMetaBlockHeader(int length,
int* storage_ix,
uint8_t* storage);
// Stores a context map where the histogram type is always the block type.
void StoreTrivialContextMap(int num_types,
int context_bits,
int* storage_ix,
uint8_t* storage);
// Builds a Huffman tree from histogram[0:length] into depth[0:length] and
// bits[0:length] and stores the encoded tree to the bit stream.
void BuildAndStoreHuffmanTree(const int *histogram,
const int length,
const int quality,
uint8_t* depth,
uint16_t* bits,
int* storage_ix,
uint8_t* storage);
} // namespace brotli
#endif // BROTLI_ENC_BROTLI_BIT_STREAM_H_

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@ -22,6 +22,7 @@
#include "./backward_references.h" #include "./backward_references.h"
#include "./bit_cost.h" #include "./bit_cost.h"
#include "./block_splitter.h" #include "./block_splitter.h"
#include "./brotli_bit_stream.h"
#include "./cluster.h" #include "./cluster.h"
#include "./context.h" #include "./context.h"
#include "./transform.h" #include "./transform.h"
@ -65,19 +66,6 @@ double TotalBitCost(const std::vector<Histogram<kSize> >& histograms) {
return retval; return retval;
} }
void EncodeVarLenUint8(int n, int* storage_ix, uint8_t* storage) {
if (n == 0) {
WriteBits(1, 0, storage_ix, storage);
} else {
WriteBits(1, 1, storage_ix, storage);
int nbits = Log2Floor(n);
WriteBits(3, nbits, storage_ix, storage);
if (nbits > 0) {
WriteBits(nbits, n - (1 << nbits), storage_ix, storage);
}
}
}
int ParseAsUTF8(int* symbol, const uint8_t* input, int size) { int ParseAsUTF8(int* symbol, const uint8_t* input, int size) {
// ASCII // ASCII
if ((input[0] & 0x80) == 0) { if ((input[0] & 0x80) == 0) {
@ -168,134 +156,6 @@ void EncodeMetaBlockLength(size_t meta_block_size,
} }
} }
void StoreHuffmanTreeOfHuffmanTreeToBitMask(
const uint8_t* code_length_bitdepth,
int* storage_ix, uint8_t* storage) {
static const uint8_t kStorageOrder[kCodeLengthCodes] = {
1, 2, 3, 4, 0, 5, 17, 6, 16, 7, 8, 9, 10, 11, 12, 13, 14, 15,
};
// Throw away trailing zeros:
int codes_to_store = kCodeLengthCodes;
for (; codes_to_store > 0; --codes_to_store) {
if (code_length_bitdepth[kStorageOrder[codes_to_store - 1]] != 0) {
break;
}
}
int num_codes = 0;
for (int i = 0; i < codes_to_store; ++i) {
if (code_length_bitdepth[kStorageOrder[i]] != 0) {
++num_codes;
}
}
if (num_codes == 1) {
codes_to_store = kCodeLengthCodes;
}
int skip_some = 0; // skips none.
if (code_length_bitdepth[kStorageOrder[0]] == 0 &&
code_length_bitdepth[kStorageOrder[1]] == 0) {
skip_some = 2; // skips two.
if (code_length_bitdepth[kStorageOrder[2]] == 0) {
skip_some = 3; // skips three.
}
}
WriteBits(2, skip_some, storage_ix, storage);
for (int i = skip_some; i < codes_to_store; ++i) {
uint8_t len[] = { 2, 4, 3, 2, 2, 4 };
uint8_t bits[] = { 0, 7, 3, 2, 1, 15 };
int v = code_length_bitdepth[kStorageOrder[i]];
WriteBits(len[v], bits[v], storage_ix, storage);
}
}
void StoreHuffmanTreeToBitMask(
const uint8_t* huffman_tree,
const uint8_t* huffman_tree_extra_bits,
const int huffman_tree_size,
const EntropyCode<kCodeLengthCodes>& entropy,
int* storage_ix, uint8_t* storage) {
for (int i = 0; i < huffman_tree_size; ++i) {
const int ix = huffman_tree[i];
const int extra_bits = huffman_tree_extra_bits[i];
if (entropy.count_ > 1) {
WriteBits(entropy.depth_[ix], entropy.bits_[ix], storage_ix, storage);
}
switch (ix) {
case 16:
WriteBits(2, extra_bits, storage_ix, storage);
break;
case 17:
WriteBits(3, extra_bits, storage_ix, storage);
break;
}
}
}
template<int kSize>
void StoreHuffmanCodeSimple(
const EntropyCode<kSize>& code, int alphabet_size,
int max_bits, int* storage_ix, uint8_t* storage) {
const uint8_t *depth = &code.depth_[0];
int symbols[4];
// Quadratic sort.
int k, j;
for (k = 0; k < code.count_; ++k) {
symbols[k] = code.symbols_[k];
}
for (k = 0; k < code.count_; ++k) {
for (j = k + 1; j < code.count_; ++j) {
if (depth[symbols[j]] < depth[symbols[k]]) {
int t = symbols[k];
symbols[k] = symbols[j];
symbols[j] = t;
}
}
}
// Small tree marker to encode 1-4 symbols.
WriteBits(2, 1, storage_ix, storage);
WriteBits(2, code.count_ - 1, storage_ix, storage);
for (int i = 0; i < code.count_; ++i) {
WriteBits(max_bits, symbols[i], storage_ix, storage);
}
if (code.count_ == 4) {
if (depth[symbols[0]] == 2 &&
depth[symbols[1]] == 2 &&
depth[symbols[2]] == 2 &&
depth[symbols[3]] == 2) {
WriteBits(1, 0, storage_ix, storage);
} else {
WriteBits(1, 1, storage_ix, storage);
}
}
}
template<int kSize>
void StoreHuffmanCodeComplex(
const EntropyCode<kSize>& code, int alphabet_size,
int* storage_ix, uint8_t* storage) {
const uint8_t *depth = &code.depth_[0];
uint8_t huffman_tree[kSize];
uint8_t huffman_tree_extra_bits[kSize];
int huffman_tree_size = 0;
WriteHuffmanTree(depth,
alphabet_size,
&huffman_tree[0],
&huffman_tree_extra_bits[0],
&huffman_tree_size);
Histogram<kCodeLengthCodes> huffman_tree_histogram;
memset(huffman_tree_histogram.data_, 0, sizeof(huffman_tree_histogram.data_));
for (int i = 0; i < huffman_tree_size; ++i) {
huffman_tree_histogram.Add(huffman_tree[i]);
}
EntropyCode<kCodeLengthCodes> huffman_tree_entropy;
BuildEntropyCode(huffman_tree_histogram, 5, kCodeLengthCodes,
&huffman_tree_entropy);
StoreHuffmanTreeOfHuffmanTreeToBitMask(
&huffman_tree_entropy.depth_[0], storage_ix, storage);
StoreHuffmanTreeToBitMask(&huffman_tree[0], &huffman_tree_extra_bits[0],
huffman_tree_size, huffman_tree_entropy,
storage_ix, storage);
}
template<int kSize> template<int kSize>
void BuildAndStoreEntropyCode(const Histogram<kSize>& histogram, void BuildAndStoreEntropyCode(const Histogram<kSize>& histogram,
const int tree_limit, const int tree_limit,
@ -304,45 +164,8 @@ void BuildAndStoreEntropyCode(const Histogram<kSize>& histogram,
int* storage_ix, uint8_t* storage) { int* storage_ix, uint8_t* storage) {
memset(code->depth_, 0, sizeof(code->depth_)); memset(code->depth_, 0, sizeof(code->depth_));
memset(code->bits_, 0, sizeof(code->bits_)); memset(code->bits_, 0, sizeof(code->bits_));
memset(code->symbols_, 0, sizeof(code->symbols_)); BuildAndStoreHuffmanTree(histogram.data_, alphabet_size, 9,
code->count_ = 0; code->depth_, code->bits_, storage_ix, storage);
int max_bits_counter = alphabet_size - 1;
int max_bits = 0;
while (max_bits_counter) {
max_bits_counter >>= 1;
++max_bits;
}
for (size_t i = 0; i < alphabet_size; i++) {
if (histogram.data_[i] > 0) {
if (code->count_ < 4) code->symbols_[code->count_] = i;
++code->count_;
}
}
if (code->count_ <= 1) {
WriteBits(2, 1, storage_ix, storage);
WriteBits(2, 0, storage_ix, storage);
WriteBits(max_bits, code->symbols_[0], storage_ix, storage);
return;
}
if (alphabet_size >= 50 && code->count_ >= 16) {
std::vector<int> counts(alphabet_size);
memcpy(&counts[0], histogram.data_, sizeof(counts[0]) * alphabet_size);
OptimizeHuffmanCountsForRle(alphabet_size, &counts[0]);
CreateHuffmanTree(&counts[0], alphabet_size, tree_limit, code->depth_);
} else {
CreateHuffmanTree(histogram.data_, alphabet_size, tree_limit, code->depth_);
}
ConvertBitDepthsToSymbols(code->depth_, alphabet_size, code->bits_);
if (code->count_ <= 4) {
StoreHuffmanCodeSimple(*code, alphabet_size, max_bits, storage_ix, storage);
} else {
StoreHuffmanCodeComplex(*code, alphabet_size, storage_ix, storage);
}
} }
template<int kSize> template<int kSize>
@ -575,7 +398,7 @@ int BestMaxZeroRunLengthPrefix(const std::vector<int>& v) {
void EncodeContextMap(const std::vector<int>& context_map, void EncodeContextMap(const std::vector<int>& context_map,
int num_clusters, int num_clusters,
int* storage_ix, uint8_t* storage) { int* storage_ix, uint8_t* storage) {
EncodeVarLenUint8(num_clusters - 1, storage_ix, storage); StoreVarLenUint8(num_clusters - 1, storage_ix, storage);
if (num_clusters == 1) { if (num_clusters == 1) {
return; return;
@ -656,7 +479,7 @@ void ComputeBlockTypeShortCodes(BlockSplit* split) {
void BuildAndEncodeBlockSplitCode(const BlockSplit& split, void BuildAndEncodeBlockSplitCode(const BlockSplit& split,
BlockSplitCode* code, BlockSplitCode* code,
int* storage_ix, uint8_t* storage) { int* storage_ix, uint8_t* storage) {
EncodeVarLenUint8(split.num_types_ - 1, storage_ix, storage); StoreVarLenUint8(split.num_types_ - 1, storage_ix, storage);
if (split.num_types_ == 1) { if (split.num_types_ == 1) {
return; return;
@ -864,7 +687,6 @@ void StoreMetaBlock(const MetaBlock& mb,
int context = (distance_it.type_ << 2) + int context = (distance_it.type_ << 2) +
((cmd.copy_length_code_ > 4) ? 3 : cmd.copy_length_code_ - 2); ((cmd.copy_length_code_ > 4) ? 3 : cmd.copy_length_code_ - 2);
int histogram_index = mb.distance_context_map[context]; int histogram_index = mb.distance_context_map[context];
size_t max_distance = std::min(*pos, (size_t)kMaxBackwardDistance);
EncodeCopyDistance(cmd, distance_codes[histogram_index], EncodeCopyDistance(cmd, distance_codes[histogram_index],
storage_ix, storage); storage_ix, storage);
} }
@ -1015,7 +837,6 @@ void BrotliCompressor::FinishStream(
WriteMetaBlock(0, NULL, true, encoded_size, encoded_buffer); WriteMetaBlock(0, NULL, true, encoded_size, encoded_buffer);
} }
int BrotliCompressBuffer(BrotliParams params, int BrotliCompressBuffer(BrotliParams params,
size_t input_size, size_t input_size,
const uint8_t* input_buffer, const uint8_t* input_buffer,

View File

@ -59,7 +59,6 @@ class BrotliCompressor {
// sets *encoded_size to the number of bytes written. // sets *encoded_size to the number of bytes written.
void FinishStream(size_t* encoded_size, uint8_t* encoded_buffer); void FinishStream(size_t* encoded_size, uint8_t* encoded_buffer);
private: private:
// Initializes the hasher with the hashes of dictionary words. // Initializes the hasher with the hashes of dictionary words.
void StoreDictionaryWordHashes(); void StoreDictionaryWordHashes();
@ -87,7 +86,6 @@ int BrotliCompressBuffer(BrotliParams params,
size_t* encoded_size, size_t* encoded_size,
uint8_t* encoded_buffer); uint8_t* encoded_buffer);
} // namespace brotli } // namespace brotli
#endif // BROTLI_ENC_ENCODE_H_ #endif // BROTLI_ENC_ENCODE_H_

View File

@ -42,7 +42,7 @@ struct HuffmanTree {
HuffmanTree::HuffmanTree() {} HuffmanTree::HuffmanTree() {}
// Sort the root nodes, least popular first. // Sort the root nodes, least popular first, break ties by value.
bool SortHuffmanTree(const HuffmanTree &v0, const HuffmanTree &v1) { bool SortHuffmanTree(const HuffmanTree &v0, const HuffmanTree &v1) {
if (v0.total_count_ == v1.total_count_) { if (v0.total_count_ == v1.total_count_) {
return v0.index_right_or_value_ > v1.index_right_or_value_; return v0.index_right_or_value_ > v1.index_right_or_value_;
@ -50,6 +50,11 @@ bool SortHuffmanTree(const HuffmanTree &v0, const HuffmanTree &v1) {
return v0.total_count_ < v1.total_count_; return v0.total_count_ < v1.total_count_;
} }
// Sort the root nodes, least popular first.
bool SortHuffmanTreeFast(const HuffmanTree &v0, const HuffmanTree &v1) {
return v0.total_count_ < v1.total_count_;
}
void SetDepth(const HuffmanTree &p, void SetDepth(const HuffmanTree &p,
HuffmanTree *pool, HuffmanTree *pool,
uint8_t *depth, uint8_t *depth,
@ -83,6 +88,7 @@ void SetDepth(const HuffmanTree &p,
void CreateHuffmanTree(const int *data, void CreateHuffmanTree(const int *data,
const int length, const int length,
const int tree_limit, const int tree_limit,
const int quality,
uint8_t *depth) { uint8_t *depth) {
// For block sizes below 64 kB, we never need to do a second iteration // For block sizes below 64 kB, we never need to do a second iteration
// of this loop. Probably all of our block sizes will be smaller than // of this loop. Probably all of our block sizes will be smaller than
@ -105,8 +111,11 @@ void CreateHuffmanTree(const int *data,
break; break;
} }
if (quality > 1) {
std::sort(tree.begin(), tree.end(), SortHuffmanTree); std::sort(tree.begin(), tree.end(), SortHuffmanTree);
} else {
std::sort(tree.begin(), tree.end(), SortHuffmanTreeFast);
}
// The nodes are: // The nodes are:
// [0, n): the sorted leaf nodes that we start with. // [0, n): the sorted leaf nodes that we start with.
// [n]: we add a sentinel here. // [n]: we add a sentinel here.
@ -158,12 +167,12 @@ void CreateHuffmanTree(const int *data,
} }
} }
void Reverse(uint8_t* v, int start, int end) { void Reverse(std::vector<uint8_t>* v, int start, int end) {
--end; --end;
while (start < end) { while (start < end) {
int tmp = v[start]; int tmp = (*v)[start];
v[start] = v[end]; (*v)[start] = (*v)[end];
v[end] = tmp; (*v)[end] = tmp;
++start; ++start;
--end; --end;
} }
@ -173,75 +182,65 @@ void WriteHuffmanTreeRepetitions(
const int previous_value, const int previous_value,
const int value, const int value,
int repetitions, int repetitions,
uint8_t* tree, std::vector<uint8_t> *tree,
uint8_t* extra_bits, std::vector<uint8_t> *extra_bits_data) {
int* tree_size) {
if (previous_value != value) { if (previous_value != value) {
tree[*tree_size] = value; tree->push_back(value);
extra_bits[*tree_size] = 0; extra_bits_data->push_back(0);
++(*tree_size);
--repetitions; --repetitions;
} }
if (repetitions == 7) { if (repetitions == 7) {
tree[*tree_size] = value; tree->push_back(value);
extra_bits[*tree_size] = 0; extra_bits_data->push_back(0);
++(*tree_size);
--repetitions; --repetitions;
} }
if (repetitions < 3) { if (repetitions < 3) {
for (int i = 0; i < repetitions; ++i) { for (int i = 0; i < repetitions; ++i) {
tree[*tree_size] = value; tree->push_back(value);
extra_bits[*tree_size] = 0; extra_bits_data->push_back(0);
++(*tree_size);
} }
} else { } else {
repetitions -= 3; repetitions -= 3;
int start = *tree_size; int start = tree->size();
while (repetitions >= 0) { while (repetitions >= 0) {
tree[*tree_size] = 16; tree->push_back(16);
extra_bits[*tree_size] = repetitions & 0x3; extra_bits_data->push_back(repetitions & 0x3);
++(*tree_size);
repetitions >>= 2; repetitions >>= 2;
--repetitions; --repetitions;
} }
Reverse(tree, start, *tree_size); Reverse(tree, start, tree->size());
Reverse(extra_bits, start, *tree_size); Reverse(extra_bits_data, start, tree->size());
} }
} }
void WriteHuffmanTreeRepetitionsZeros( void WriteHuffmanTreeRepetitionsZeros(
int repetitions, int repetitions,
uint8_t* tree, std::vector<uint8_t> *tree,
uint8_t* extra_bits, std::vector<uint8_t> *extra_bits_data) {
int* tree_size) {
if (repetitions == 11) { if (repetitions == 11) {
tree[*tree_size] = 0; tree->push_back(0);
extra_bits[*tree_size] = 0; extra_bits_data->push_back(0);
++(*tree_size);
--repetitions; --repetitions;
} }
if (repetitions < 3) { if (repetitions < 3) {
for (int i = 0; i < repetitions; ++i) { for (int i = 0; i < repetitions; ++i) {
tree[*tree_size] = 0; tree->push_back(0);
extra_bits[*tree_size] = 0; extra_bits_data->push_back(0);
++(*tree_size);
} }
} else { } else {
repetitions -= 3; repetitions -= 3;
int start = *tree_size; int start = tree->size();
while (repetitions >= 0) { while (repetitions >= 0) {
tree[*tree_size] = 17; tree->push_back(17);
extra_bits[*tree_size] = repetitions & 0x7; extra_bits_data->push_back(repetitions & 0x7);
++(*tree_size);
repetitions >>= 3; repetitions >>= 3;
--repetitions; --repetitions;
} }
Reverse(tree, start, *tree_size); Reverse(tree, start, tree->size());
Reverse(extra_bits, start, *tree_size); Reverse(extra_bits_data, start, tree->size());
} }
} }
int OptimizeHuffmanCountsForRle(int length, int* counts) { int OptimizeHuffmanCountsForRle(int length, int* counts) {
int stride; int stride;
int limit; int limit;
@ -371,7 +370,6 @@ int OptimizeHuffmanCountsForRle(int length, int* counts) {
return 1; return 1;
} }
static void DecideOverRleUse(const uint8_t* depth, const int length, static void DecideOverRleUse(const uint8_t* depth, const int length,
bool *use_rle_for_non_zero, bool *use_rle_for_non_zero,
bool *use_rle_for_zero) { bool *use_rle_for_zero) {
@ -379,20 +377,10 @@ static void DecideOverRleUse(const uint8_t* depth, const int length,
int total_reps_non_zero = 0; int total_reps_non_zero = 0;
int count_reps_zero = 0; int count_reps_zero = 0;
int count_reps_non_zero = 0; int count_reps_non_zero = 0;
int new_length = length; for (uint32_t i = 0; i < length;) {
for (int i = 0; i < length; ++i) {
if (depth[length - i - 1] == 0) {
--new_length;
} else {
break;
}
}
for (uint32_t i = 0; i < new_length;) {
const int value = depth[i]; const int value = depth[i];
int reps = 1; int reps = 1;
// Find rle coding for longer codes. for (uint32_t k = i + 1; k < length && depth[k] == value; ++k) {
// Shorter codes seem not to benefit from rle.
for (uint32_t k = i + 1; k < new_length && depth[k] == value; ++k) {
++reps; ++reps;
} }
if (reps >= 3 && value == 0) { if (reps >= 3 && value == 0) {
@ -411,48 +399,51 @@ static void DecideOverRleUse(const uint8_t* depth, const int length,
*use_rle_for_zero = total_reps_zero > 2; *use_rle_for_zero = total_reps_zero > 2;
} }
void WriteHuffmanTree(const uint8_t* depth,
void WriteHuffmanTree(const uint8_t* depth, const int length, uint32_t length,
uint8_t* tree, std::vector<uint8_t> *tree,
uint8_t* extra_bits_data, std::vector<uint8_t> *extra_bits_data) {
int* huffman_tree_size) {
int previous_value = 8; int previous_value = 8;
// First gather statistics on if it is a good idea to do rle. // Throw away trailing zeros.
bool use_rle_for_non_zero; int new_length = length;
bool use_rle_for_zero; for (int i = 0; i < length; ++i) {
DecideOverRleUse(depth, length, &use_rle_for_non_zero, &use_rle_for_zero); if (depth[length - i - 1] == 0) {
--new_length;
} else {
break;
}
}
// Actual rle coding. // First gather statistics on if it is a good idea to do rle.
for (uint32_t i = 0; i < length;) { bool use_rle_for_non_zero = false;
const int value = depth[i]; bool use_rle_for_zero = false;
int reps = 1;
if (length > 50) { if (length > 50) {
// Find rle coding for longer codes. // Find rle coding for longer codes.
// Shorter codes seem not to benefit from rle. // Shorter codes seem not to benefit from rle.
DecideOverRleUse(depth, new_length,
&use_rle_for_non_zero, &use_rle_for_zero);
}
// Actual rle coding.
for (uint32_t i = 0; i < new_length;) {
const int value = depth[i];
int reps = 1;
if ((value != 0 && use_rle_for_non_zero) || if ((value != 0 && use_rle_for_non_zero) ||
(value == 0 && use_rle_for_zero)) { (value == 0 && use_rle_for_zero)) {
for (uint32_t k = i + 1; k < length && depth[k] == value; ++k) { for (uint32_t k = i + 1; k < new_length && depth[k] == value; ++k) {
++reps; ++reps;
} }
} }
}
if (value == 0) { if (value == 0) {
WriteHuffmanTreeRepetitionsZeros(reps, tree, extra_bits_data, WriteHuffmanTreeRepetitionsZeros(reps, tree, extra_bits_data);
huffman_tree_size);
} else { } else {
WriteHuffmanTreeRepetitions(previous_value, value, reps, tree, WriteHuffmanTreeRepetitions(previous_value,
extra_bits_data, huffman_tree_size); value, reps, tree, extra_bits_data);
previous_value = value; previous_value = value;
} }
i += reps; i += reps;
} }
// Throw away trailing zeros.
for (; *huffman_tree_size > 0; --(*huffman_tree_size)) {
if (tree[*huffman_tree_size - 1] > 0 && tree[*huffman_tree_size - 1] < 17) {
break;
}
}
} }
namespace { namespace {

View File

@ -19,6 +19,7 @@
#include <stdint.h> #include <stdint.h>
#include <string.h> #include <string.h>
#include <vector>
#include "./histogram.h" #include "./histogram.h"
#include "./prefix.h" #include "./prefix.h"
@ -36,6 +37,7 @@ namespace brotli {
void CreateHuffmanTree(const int *data, void CreateHuffmanTree(const int *data,
const int length, const int length,
const int tree_limit, const int tree_limit,
const int quality,
uint8_t *depth); uint8_t *depth);
// Change the population counts in a way that the consequent // Change the population counts in a way that the consequent
@ -46,14 +48,13 @@ void CreateHuffmanTree(const int *data,
// counts contains the population counts. // counts contains the population counts.
int OptimizeHuffmanCountsForRle(int length, int* counts); int OptimizeHuffmanCountsForRle(int length, int* counts);
// Write a huffman tree from bit depths into the bitstream representation // Write a huffman tree from bit depths into the bitstream representation
// of a Huffman tree. The generated Huffman tree is to be compressed once // of a Huffman tree. The generated Huffman tree is to be compressed once
// more using a Huffman tree // more using a Huffman tree
void WriteHuffmanTree(const uint8_t* depth, const int length, void WriteHuffmanTree(const uint8_t* depth,
uint8_t* tree, uint32_t num,
uint8_t* extra_bits_data, std::vector<uint8_t> *tree,
int* huffman_tree_size); std::vector<uint8_t> *extra_bits_data);
// Get the actual bit values for a tree of bit depths. // Get the actual bit values for a tree of bit depths.
void ConvertBitDepthsToSymbols(const uint8_t *depth, int len, uint16_t *bits); void ConvertBitDepthsToSymbols(const uint8_t *depth, int len, uint16_t *bits);
@ -70,34 +71,6 @@ struct EntropyCode {
int symbols_[4]; int symbols_[4];
}; };
template<int kSize>
void BuildEntropyCode(const Histogram<kSize>& histogram,
const int tree_limit,
const int alphabet_size,
EntropyCode<kSize>* code) {
memset(code->depth_, 0, sizeof(code->depth_));
memset(code->bits_, 0, sizeof(code->bits_));
memset(code->symbols_, 0, sizeof(code->symbols_));
code->count_ = 0;
if (histogram.total_count_ == 0) return;
for (int i = 0; i < kSize; ++i) {
if (histogram.data_[i] > 0) {
if (code->count_ < 4) code->symbols_[code->count_] = i;
++code->count_;
}
}
if (alphabet_size >= 50 && code->count_ >= 16) {
int counts[kSize];
memcpy(counts, &histogram.data_[0], sizeof(counts[0]) * kSize);
OptimizeHuffmanCountsForRle(alphabet_size, counts);
CreateHuffmanTree(counts, alphabet_size, tree_limit, &code->depth_[0]);
} else {
CreateHuffmanTree(&histogram.data_[0], alphabet_size, tree_limit,
&code->depth_[0]);
}
ConvertBitDepthsToSymbols(&code->depth_[0], alphabet_size, &code->bits_[0]);
}
static const int kCodeLengthCodes = 18; static const int kCodeLengthCodes = 18;
// Literal entropy code. // Literal entropy code.