You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
108 lines
2.9 KiB
108 lines
2.9 KiB
2 years ago
|
// Copyright 2013 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.
|
||
|
//
|
||
|
// Models the histograms of literals, commands and distance codes.
|
||
|
|
||
|
#ifndef BROTLI_ENC_HISTOGRAM_H_
|
||
|
#define BROTLI_ENC_HISTOGRAM_H_
|
||
|
|
||
|
#include <stdint.h>
|
||
|
#include <string.h>
|
||
|
#include <vector>
|
||
|
#include <utility>
|
||
|
#include "./command.h"
|
||
|
#include "./fast_log.h"
|
||
|
#include "./prefix.h"
|
||
|
|
||
|
namespace brotli {
|
||
|
|
||
|
class BlockSplit;
|
||
|
|
||
|
// A simple container for histograms of data in blocks.
|
||
|
template<int kDataSize>
|
||
|
struct Histogram {
|
||
|
Histogram() {
|
||
|
Clear();
|
||
|
}
|
||
|
void Clear() {
|
||
|
memset(data_, 0, sizeof(data_));
|
||
|
total_count_ = 0;
|
||
|
}
|
||
|
void Add(int val) {
|
||
|
++data_[val];
|
||
|
++total_count_;
|
||
|
}
|
||
|
void Remove(int val) {
|
||
|
--data_[val];
|
||
|
--total_count_;
|
||
|
}
|
||
|
template<typename DataType>
|
||
|
void Add(const DataType *p, size_t n) {
|
||
|
total_count_ += n;
|
||
|
n += 1;
|
||
|
while(--n) ++data_[*p++];
|
||
|
}
|
||
|
void AddHistogram(const Histogram& v) {
|
||
|
total_count_ += v.total_count_;
|
||
|
for (int i = 0; i < kDataSize; ++i) {
|
||
|
data_[i] += v.data_[i];
|
||
|
}
|
||
|
}
|
||
|
double EntropyBitCost() const {
|
||
|
double retval = total_count_ * FastLog2(total_count_);
|
||
|
for (int i = 0; i < kDataSize; ++i) {
|
||
|
retval -= data_[i] * FastLog2(data_[i]);
|
||
|
}
|
||
|
return retval;
|
||
|
}
|
||
|
|
||
|
int data_[kDataSize];
|
||
|
int total_count_;
|
||
|
double bit_cost_;
|
||
|
};
|
||
|
|
||
|
// Literal histogram.
|
||
|
typedef Histogram<256> HistogramLiteral;
|
||
|
// Prefix histograms.
|
||
|
typedef Histogram<kNumCommandPrefixes> HistogramCommand;
|
||
|
typedef Histogram<kNumDistancePrefixes> HistogramDistance;
|
||
|
typedef Histogram<kNumBlockLenPrefixes> HistogramBlockLength;
|
||
|
// Context map histogram, 256 Huffman tree indexes + 16 run length codes.
|
||
|
typedef Histogram<272> HistogramContextMap;
|
||
|
// Block type histogram, 256 block types + 2 special symbols.
|
||
|
typedef Histogram<258> HistogramBlockType;
|
||
|
|
||
|
static const int kLiteralContextBits = 6;
|
||
|
static const int kDistanceContextBits = 2;
|
||
|
|
||
|
void BuildHistograms(
|
||
|
const Command* cmds,
|
||
|
const size_t num_commands,
|
||
|
const BlockSplit& literal_split,
|
||
|
const BlockSplit& insert_and_copy_split,
|
||
|
const BlockSplit& dist_split,
|
||
|
const uint8_t* ringbuffer,
|
||
|
size_t pos,
|
||
|
size_t mask,
|
||
|
uint8_t prev_byte,
|
||
|
uint8_t prev_byte2,
|
||
|
const std::vector<int>& context_modes,
|
||
|
std::vector<HistogramLiteral>* literal_histograms,
|
||
|
std::vector<HistogramCommand>* insert_and_copy_histograms,
|
||
|
std::vector<HistogramDistance>* copy_dist_histograms);
|
||
|
|
||
|
} // namespace brotli
|
||
|
|
||
|
#endif // BROTLI_ENC_HISTOGRAM_H_
|