Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/brotli/c/enc/bit_cost_inc.h @ 2:b50eed0cc0ef upstream

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ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4. The directory name has changed: no version number in the expanded directory now.
author Franz Glasner <fzglas.hg@dom66.de>
date Mon, 15 Sep 2025 11:43:07 +0200
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children
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2
b50eed0cc0ef ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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1 /* NOLINT(build/header_guard) */
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2 /* Copyright 2013 Google Inc. All Rights Reserved.
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3
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4 Distributed under MIT license.
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5 See file LICENSE for detail or copy at https://opensource.org/licenses/MIT
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6 */
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7
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8 /* template parameters: FN */
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9
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10 #define HistogramType FN(Histogram)
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11
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12 double FN(BrotliPopulationCost)(const HistogramType* histogram) {
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13 static const double kOneSymbolHistogramCost = 12;
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14 static const double kTwoSymbolHistogramCost = 20;
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15 static const double kThreeSymbolHistogramCost = 28;
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16 static const double kFourSymbolHistogramCost = 37;
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17 const size_t data_size = FN(HistogramDataSize)();
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18 int count = 0;
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19 size_t s[5];
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20 double bits = 0.0;
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21 size_t i;
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22 if (histogram->total_count_ == 0) {
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23 return kOneSymbolHistogramCost;
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24 }
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25 for (i = 0; i < data_size; ++i) {
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26 if (histogram->data_[i] > 0) {
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27 s[count] = i;
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28 ++count;
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29 if (count > 4) break;
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30 }
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31 }
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32 if (count == 1) {
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33 return kOneSymbolHistogramCost;
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34 }
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35 if (count == 2) {
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36 return (kTwoSymbolHistogramCost + (double)histogram->total_count_);
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37 }
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38 if (count == 3) {
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39 const uint32_t histo0 = histogram->data_[s[0]];
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40 const uint32_t histo1 = histogram->data_[s[1]];
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41 const uint32_t histo2 = histogram->data_[s[2]];
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42 const uint32_t histomax =
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43 BROTLI_MAX(uint32_t, histo0, BROTLI_MAX(uint32_t, histo1, histo2));
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44 return (kThreeSymbolHistogramCost +
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45 2 * (histo0 + histo1 + histo2) - histomax);
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46 }
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47 if (count == 4) {
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48 uint32_t histo[4];
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49 uint32_t h23;
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50 uint32_t histomax;
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51 for (i = 0; i < 4; ++i) {
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52 histo[i] = histogram->data_[s[i]];
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53 }
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54 /* Sort */
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55 for (i = 0; i < 4; ++i) {
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56 size_t j;
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57 for (j = i + 1; j < 4; ++j) {
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58 if (histo[j] > histo[i]) {
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59 BROTLI_SWAP(uint32_t, histo, j, i);
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60 }
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61 }
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62 }
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63 h23 = histo[2] + histo[3];
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64 histomax = BROTLI_MAX(uint32_t, h23, histo[0]);
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65 return (kFourSymbolHistogramCost +
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66 3 * h23 + 2 * (histo[0] + histo[1]) - histomax);
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67 }
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68
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69 {
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70 /* In this loop we compute the entropy of the histogram and simultaneously
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71 build a simplified histogram of the code length codes where we use the
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72 zero repeat code 17, but we don't use the non-zero repeat code 16. */
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73 size_t max_depth = 1;
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74 uint32_t depth_histo[BROTLI_CODE_LENGTH_CODES] = { 0 };
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75 const double log2total = FastLog2(histogram->total_count_);
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76 for (i = 0; i < data_size;) {
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77 if (histogram->data_[i] > 0) {
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78 /* Compute -log2(P(symbol)) = -log2(count(symbol)/total_count) =
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79 = log2(total_count) - log2(count(symbol)) */
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80 double log2p = log2total - FastLog2(histogram->data_[i]);
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81 /* Approximate the bit depth by round(-log2(P(symbol))) */
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82 size_t depth = (size_t)(log2p + 0.5);
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83 bits += histogram->data_[i] * log2p;
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84 if (depth > 15) {
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85 depth = 15;
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86 }
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87 if (depth > max_depth) {
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88 max_depth = depth;
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89 }
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90 ++depth_histo[depth];
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91 ++i;
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92 } else {
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93 /* Compute the run length of zeros and add the appropriate number of 0
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94 and 17 code length codes to the code length code histogram. */
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95 uint32_t reps = 1;
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96 size_t k;
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97 for (k = i + 1; k < data_size && histogram->data_[k] == 0; ++k) {
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98 ++reps;
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99 }
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100 i += reps;
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101 if (i == data_size) {
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102 /* Don't add any cost for the last zero run, since these are encoded
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103 only implicitly. */
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104 break;
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105 }
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106 if (reps < 3) {
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107 depth_histo[0] += reps;
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108 } else {
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109 reps -= 2;
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110 while (reps > 0) {
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111 ++depth_histo[BROTLI_REPEAT_ZERO_CODE_LENGTH];
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112 /* Add the 3 extra bits for the 17 code length code. */
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113 bits += 3;
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114 reps >>= 3;
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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 /* Add the estimated encoding cost of the code length code histogram. */
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120 bits += (double)(18 + 2 * max_depth);
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121 /* Add the entropy of the code length code histogram. */
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122 bits += BitsEntropy(depth_histo, BROTLI_CODE_LENGTH_CODES);
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123 }
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124 return bits;
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125 }
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126
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127 #undef HistogramType