Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/brotli/c/enc/entropy_encode.h @ 17:dd9cdb856310

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Remove PKG-INFO from the because it is regenerated automatically for the sdist
author Franz Glasner <fzglas.hg@dom66.de>
date Thu, 18 Sep 2025 17:40:40 +0200
parents b50eed0cc0ef
children
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1 /* Copyright 2010 Google Inc. All Rights Reserved.
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3 Distributed under MIT license.
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4 See file LICENSE for detail or copy at https://opensource.org/licenses/MIT
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5 */
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7 /* Entropy encoding (Huffman) utilities. */
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9 #ifndef BROTLI_ENC_ENTROPY_ENCODE_H_
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10 #define BROTLI_ENC_ENTROPY_ENCODE_H_
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12 #include <brotli/types.h>
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14 #include "../common/platform.h"
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16 #if defined(__cplusplus) || defined(c_plusplus)
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17 extern "C" {
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18 #endif
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20 /* A node of a Huffman tree. */
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21 typedef struct HuffmanTree {
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22 uint32_t total_count_;
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23 int16_t index_left_;
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24 int16_t index_right_or_value_;
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25 } HuffmanTree;
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27 static BROTLI_INLINE void InitHuffmanTree(HuffmanTree* self, uint32_t count,
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28 int16_t left, int16_t right) {
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29 self->total_count_ = count;
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30 self->index_left_ = left;
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31 self->index_right_or_value_ = right;
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32 }
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34 /* Returns 1 is assignment of depths succeeded, otherwise 0. */
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35 BROTLI_INTERNAL BROTLI_BOOL BrotliSetDepth(
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36 int p, HuffmanTree* pool, uint8_t* depth, int max_depth);
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38 /* This function will create a Huffman tree.
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40 The (data,length) contains the population counts.
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41 The tree_limit is the maximum bit depth of the Huffman codes.
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43 The depth contains the tree, i.e., how many bits are used for
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44 the symbol.
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46 The actual Huffman tree is constructed in the tree[] array, which has to
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47 be at least 2 * length + 1 long.
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49 See http://en.wikipedia.org/wiki/Huffman_coding */
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50 BROTLI_INTERNAL void BrotliCreateHuffmanTree(const uint32_t* data,
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51 const size_t length,
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52 const int tree_limit,
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53 HuffmanTree* tree,
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54 uint8_t* depth);
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56 /* Change the population counts in a way that the consequent
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57 Huffman tree compression, especially its RLE-part will be more
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58 likely to compress this data more efficiently.
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60 length contains the size of the histogram.
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61 counts contains the population counts.
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62 good_for_rle is a buffer of at least length size */
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63 BROTLI_INTERNAL void BrotliOptimizeHuffmanCountsForRle(
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64 size_t length, uint32_t* counts, uint8_t* good_for_rle);
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66 /* Write a Huffman tree from bit depths into the bit-stream representation
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67 of a Huffman tree. The generated Huffman tree is to be compressed once
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68 more using a Huffman tree */
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69 BROTLI_INTERNAL void BrotliWriteHuffmanTree(const uint8_t* depth,
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70 size_t num,
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71 size_t* tree_size,
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72 uint8_t* tree,
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73 uint8_t* extra_bits_data);
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74
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75 /* Get the actual bit values for a tree of bit depths. */
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76 BROTLI_INTERNAL void BrotliConvertBitDepthsToSymbols(const uint8_t* depth,
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77 size_t len,
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78 uint16_t* bits);
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79
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80 BROTLI_INTERNAL extern const size_t kBrotliShellGaps[6];
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81 /* Input size optimized Shell sort. */
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82 typedef BROTLI_BOOL (*HuffmanTreeComparator)(
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83 const HuffmanTree*, const HuffmanTree*);
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84 static BROTLI_INLINE void SortHuffmanTreeItems(HuffmanTree* items,
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85 const size_t n, HuffmanTreeComparator comparator) {
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86 if (n < 13) {
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87 /* Insertion sort. */
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88 size_t i;
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89 for (i = 1; i < n; ++i) {
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90 HuffmanTree tmp = items[i];
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91 size_t k = i;
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92 size_t j = i - 1;
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93 while (comparator(&tmp, &items[j])) {
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94 items[k] = items[j];
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95 k = j;
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96 if (!j--) break;
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97 }
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98 items[k] = tmp;
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99 }
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100 return;
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101 } else {
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102 /* Shell sort. */
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103 int g = n < 57 ? 2 : 0;
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104 for (; g < 6; ++g) {
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105 size_t gap = kBrotliShellGaps[g];
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106 size_t i;
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107 for (i = gap; i < n; ++i) {
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108 size_t j = i;
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109 HuffmanTree tmp = items[i];
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110 for (; j >= gap && comparator(&tmp, &items[j - gap]); j -= gap) {
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111 items[j] = items[j - gap];
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112 }
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113 items[j] = tmp;
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114 }
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115 }
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116 }
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117 }
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118
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119 #if defined(__cplusplus) || defined(c_plusplus)
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120 } /* extern "C" */
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121 #endif
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122
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123 #endif /* BROTLI_ENC_ENTROPY_ENCODE_H_ */