Mercurial > hgrepos > Python2 > PyMuPDF

annotate mupdf-source/thirdparty/tesseract/src/ccstruct/matrix.cpp @ 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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2
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1 /******************************************************************************
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2 *
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3 * File: matrix.cpp (Formerly matrix.c)
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4 * Description: Ratings matrix code. (Used by associator)
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5 * Author: Mark Seaman, OCR Technology
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6 *
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7 * (c) Copyright 1990, Hewlett-Packard Company.
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8 ** Licensed under the Apache License, Version 2.0 (the "License");
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9 ** you may not use this file except in compliance with the License.
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10 ** You may obtain a copy of the License at
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11 ** http://www.apache.org/licenses/LICENSE-2.0
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12 ** Unless required by applicable law or agreed to in writing, software
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13 ** distributed under the License is distributed on an "AS IS" BASIS,
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14 ** WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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15 ** See the License for the specific language governing permissions and
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16 ** limitations under the License.
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17 *
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18 *****************************************************************************/
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19 /*----------------------------------------------------------------------
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20 I n c l u d e s
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21 ----------------------------------------------------------------------*/
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22 #include "matrix.h"
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23
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24 #include "ratngs.h"
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25 #include "tprintf.h"
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26 #include "unicharset.h"
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28 namespace tesseract {
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29
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30 // Destructor.
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31 // It is defined here, so the compiler can create a single vtable
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32 // instead of weak vtables in every compilation unit.
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33 MATRIX::~MATRIX() = default;
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34
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35 // Returns true if there are any real classification results.
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36 bool MATRIX::Classified(int col, int row, int wildcard_id) const {
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37 if (get(col, row) == NOT_CLASSIFIED) {
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38 return false;
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39 }
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40 BLOB_CHOICE_IT b_it(get(col, row));
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41 for (b_it.mark_cycle_pt(); !b_it.cycled_list(); b_it.forward()) {
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42 BLOB_CHOICE *choice = b_it.data();
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43 if (choice->IsClassified()) {
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44 return true;
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45 }
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46 }
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47 return false;
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48 }
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49
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50 // Expands the existing matrix in-place to make the band wider, without
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51 // losing any existing data.
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52 void MATRIX::IncreaseBandSize(int bandwidth) {
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53 ResizeWithCopy(dimension(), bandwidth);
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54 }
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56 // Returns a bigger MATRIX with a new column and row in the matrix in order
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57 // to split the blob at the given (ind,ind) diagonal location.
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58 // Entries are relocated to the new MATRIX using the transformation defined
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59 // by MATRIX_COORD::MapForSplit.
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60 // Transfers the pointer data to the new MATRIX and deletes *this.
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61 MATRIX *MATRIX::ConsumeAndMakeBigger(int ind) {
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62 int dim = dimension();
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63 int band_width = bandwidth();
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64 // Check to see if bandwidth needs expanding.
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65 for (int col = ind; col >= 0 && col > ind - band_width; --col) {
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66 if (array_[col * band_width + band_width - 1] != empty_) {
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67 ++band_width;
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68 break;
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69 }
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70 }
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71 auto *result = new MATRIX(dim + 1, band_width);
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72
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73 for (int col = 0; col < dim; ++col) {
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74 for (int row = col; row < dim && row < col + bandwidth(); ++row) {
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75 MATRIX_COORD coord(col, row);
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76 coord.MapForSplit(ind);
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77 BLOB_CHOICE_LIST *choices = get(col, row);
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78 if (choices != nullptr) {
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79 // Correct matrix location on each choice.
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80 BLOB_CHOICE_IT bc_it(choices);
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81 for (bc_it.mark_cycle_pt(); !bc_it.cycled_list(); bc_it.forward()) {
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82 BLOB_CHOICE *choice = bc_it.data();
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83 choice->set_matrix_cell(coord.col, coord.row);
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84 }
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85 ASSERT_HOST(coord.Valid(*result));
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86 result->put(coord.col, coord.row, choices);
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87 }
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88 }
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89 }
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90 delete this;
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91 return result;
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92 }
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93
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94 // Makes and returns a deep copy of *this, including all the BLOB_CHOICEs
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95 // on the lists, but not any LanguageModelState that may be attached to the
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96 // BLOB_CHOICEs.
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97 MATRIX *MATRIX::DeepCopy() const {
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98 int dim = dimension();
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99 int band_width = bandwidth();
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100 auto *result = new MATRIX(dim, band_width);
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101 for (int col = 0; col < dim; ++col) {
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102 for (int row = col; row < dim && row < col + band_width; ++row) {
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103 BLOB_CHOICE_LIST *choices = get(col, row);
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104 if (choices != nullptr) {
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105 auto *copy_choices = new BLOB_CHOICE_LIST;
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106 copy_choices->deep_copy(choices, &BLOB_CHOICE::deep_copy);
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107 result->put(col, row, copy_choices);
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108 }
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109 }
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110 }
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111 return result;
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112 }
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113
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114 // Print the best guesses out of the match rating matrix.
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115 void MATRIX::print(const UNICHARSET &unicharset) const {
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116 tprintf("Ratings Matrix (top 3 choices)\n");
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117 int dim = dimension();
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118 int band_width = bandwidth();
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119 int row, col;
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120 for (col = 0; col < dim; ++col) {
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121 for (row = col; row < dim && row < col + band_width; ++row) {
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122 BLOB_CHOICE_LIST *rating = this->get(col, row);
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123 if (rating == NOT_CLASSIFIED) {
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124 continue;
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125 }
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126 BLOB_CHOICE_IT b_it(rating);
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127 tprintf("col=%d row=%d ", col, row);
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128 for (b_it.mark_cycle_pt(); !b_it.cycled_list(); b_it.forward()) {
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129 tprintf("%s rat=%g cert=%g ", unicharset.id_to_unichar(b_it.data()->unichar_id()),
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130 b_it.data()->rating(), b_it.data()->certainty());
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131 }
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132 tprintf("\n");
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133 }
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134 tprintf("\n");
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135 }
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136 tprintf("\n");
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137 for (col = 0; col < dim; ++col) {
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138 tprintf("\t%d", col);
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139 }
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140 tprintf("\n");
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parents:
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141 for (row = 0; row < dim; ++row) {
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142 for (col = 0; col <= row; ++col) {
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143 if (col == 0) {
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144 tprintf("%d\t", row);
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145 }
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parents:
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146 if (row >= col + band_width) {
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147 tprintf(" \t");
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148 continue;
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149 }
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150 BLOB_CHOICE_LIST *rating = this->get(col, row);
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parents:
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151 if (rating != NOT_CLASSIFIED) {
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152 BLOB_CHOICE_IT b_it(rating);
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parents:
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153 int counter = 0;
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parents:
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154 for (b_it.mark_cycle_pt(); !b_it.cycled_list(); b_it.forward()) {
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
155 tprintf("%s ", unicharset.id_to_unichar(b_it.data()->unichar_id()));
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
156 ++counter;
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parents:
diff changeset
157 if (counter == 3) {
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parents:
diff changeset
158 break;
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159 }
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parents:
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160 }
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
161 tprintf("\t");
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
162 } else {
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parents:
diff changeset
163 tprintf(" \t");
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parents:
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164 }
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parents:
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165 }
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
166 tprintf("\n");
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Franz Glasner <fzglas.hg@dom66.de>
parents:
diff changeset
167 }
b50eed0cc0ef ADD: MuPDF v1.26.7: the MuPDF source as downloaded by a default build of PyMuPDF 1.26.4.
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parents:
diff changeset
168 }
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parents:
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169
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parents:
diff changeset
170 } // namespace tesseract