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Diffstat (limited to 'modules/brotli/enc/entropy_encode.h')
-rw-r--r-- | modules/brotli/enc/entropy_encode.h | 122 |
1 files changed, 122 insertions, 0 deletions
diff --git a/modules/brotli/enc/entropy_encode.h b/modules/brotli/enc/entropy_encode.h new file mode 100644 index 000000000..f23d9c379 --- /dev/null +++ b/modules/brotli/enc/entropy_encode.h @@ -0,0 +1,122 @@ +/* Copyright 2010 Google Inc. All Rights Reserved. + + Distributed under MIT license. + See file LICENSE for detail or copy at https://opensource.org/licenses/MIT +*/ + +/* Entropy encoding (Huffman) utilities. */ + +#ifndef BROTLI_ENC_ENTROPY_ENCODE_H_ +#define BROTLI_ENC_ENTROPY_ENCODE_H_ + +#include "../common/platform.h" +#include <brotli/types.h> + +#if defined(__cplusplus) || defined(c_plusplus) +extern "C" { +#endif + +/* A node of a Huffman tree. */ +typedef struct HuffmanTree { + uint32_t total_count_; + int16_t index_left_; + int16_t index_right_or_value_; +} HuffmanTree; + +static BROTLI_INLINE void InitHuffmanTree(HuffmanTree* self, uint32_t count, + int16_t left, int16_t right) { + self->total_count_ = count; + self->index_left_ = left; + self->index_right_or_value_ = right; +} + +/* Returns 1 is assignment of depths succeeded, otherwise 0. */ +BROTLI_INTERNAL BROTLI_BOOL BrotliSetDepth( + int p, HuffmanTree* pool, uint8_t* depth, int max_depth); + +/* This function will create a Huffman tree. + + The (data,length) contains the population counts. + The tree_limit is the maximum bit depth of the Huffman codes. + + The depth contains the tree, i.e., how many bits are used for + the symbol. + + The actual Huffman tree is constructed in the tree[] array, which has to + be at least 2 * length + 1 long. + + See http://en.wikipedia.org/wiki/Huffman_coding */ +BROTLI_INTERNAL void BrotliCreateHuffmanTree(const uint32_t* data, + const size_t length, + const int tree_limit, + HuffmanTree* tree, + uint8_t* depth); + +/* Change the population counts in a way that the consequent + Huffman tree compression, especially its RLE-part will be more + likely to compress this data more efficiently. + + length contains the size of the histogram. + counts contains the population counts. + good_for_rle is a buffer of at least length size */ +BROTLI_INTERNAL void BrotliOptimizeHuffmanCountsForRle( + size_t length, uint32_t* counts, uint8_t* good_for_rle); + +/* Write a Huffman tree from bit depths into the bit-stream representation + of a Huffman tree. The generated Huffman tree is to be compressed once + more using a Huffman tree */ +BROTLI_INTERNAL void BrotliWriteHuffmanTree(const uint8_t* depth, + size_t num, + size_t* tree_size, + uint8_t* tree, + uint8_t* extra_bits_data); + +/* Get the actual bit values for a tree of bit depths. */ +BROTLI_INTERNAL void BrotliConvertBitDepthsToSymbols(const uint8_t* depth, + size_t len, + uint16_t* bits); + +/* Input size optimized Shell sort. */ +typedef BROTLI_BOOL (*HuffmanTreeComparator)( + const HuffmanTree*, const HuffmanTree*); +static BROTLI_INLINE void SortHuffmanTreeItems(HuffmanTree* items, + const size_t n, HuffmanTreeComparator comparator) { + static const size_t gaps[] = {132, 57, 23, 10, 4, 1}; + if (n < 13) { + /* Insertion sort. */ + size_t i; + for (i = 1; i < n; ++i) { + HuffmanTree tmp = items[i]; + size_t k = i; + size_t j = i - 1; + while (comparator(&tmp, &items[j])) { + items[k] = items[j]; + k = j; + if (!j--) break; + } + items[k] = tmp; + } + return; + } else { + /* Shell sort. */ + int g = n < 57 ? 2 : 0; + for (; g < 6; ++g) { + size_t gap = gaps[g]; + size_t i; + for (i = gap; i < n; ++i) { + size_t j = i; + HuffmanTree tmp = items[i]; + for (; j >= gap && comparator(&tmp, &items[j - gap]); j -= gap) { + items[j] = items[j - gap]; + } + items[j] = tmp; + } + } + } +} + +#if defined(__cplusplus) || defined(c_plusplus) +} /* extern "C" */ +#endif + +#endif /* BROTLI_ENC_ENTROPY_ENCODE_H_ */ |