--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/mupdf-source/thirdparty/tesseract/src/wordrec/pieces.cpp	Mon Sep 15 11:43:07 2025 +0200
@@ -0,0 +1,89 @@
+/******************************************************************************
+ *
+ * File:         pieces.cpp
+ * Description:
+ * Author:       Mark Seaman, OCR Technology
+ *
+ * (c) Copyright 1987, Hewlett-Packard Company.
+ ** 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.
+ *
+ *****************************************************************************/
+/*----------------------------------------------------------------------
+          I n c l u d e s
+----------------------------------------------------------------------*/
+
+#include "blobs.h"
+#include "helpers.h"
+#include "matrix.h"
+#include "ratngs.h"
+#include "seam.h"
+#include "wordrec.h"
+
+// Include automatically generated configuration file if running autoconf.
+#ifdef HAVE_CONFIG_H
+#  include "config_auto.h"
+#endif
+
+using tesseract::ScoredFont;
+
+/*----------------------------------------------------------------------
+          F u n c t i o n s
+----------------------------------------------------------------------*/
+
+/**********************************************************************
+ * classify_piece
+ *
+ * Create a larger piece from a collection of smaller ones.  Classify
+ * it and return the results.  Take the large piece apart to leave
+ * the collection of small pieces un modified.
+ **********************************************************************/
+namespace tesseract {
+BLOB_CHOICE_LIST *Wordrec::classify_piece(const std::vector<SEAM *> &seams, int16_t start,
+                                          int16_t end, const char *description, TWERD *word,
+                                          BlamerBundle *blamer_bundle) {
+  if (end > start) {
+    SEAM::JoinPieces(seams, word->blobs, start, end);
+  }
+  BLOB_CHOICE_LIST *choices =
+      classify_blob(word->blobs[start], description, ScrollView::WHITE, blamer_bundle);
+  // Set the matrix_cell_ entries in all the BLOB_CHOICES.
+  BLOB_CHOICE_IT bc_it(choices);
+  for (bc_it.mark_cycle_pt(); !bc_it.cycled_list(); bc_it.forward()) {
+    bc_it.data()->set_matrix_cell(start, end);
+  }
+
+  if (end > start) {
+    SEAM::BreakPieces(seams, word->blobs, start, end);
+  }
+
+  return (choices);
+}
+
+template <class BLOB_CHOICE>
+int SortByUnicharID(const void *void1, const void *void2) {
+  const BLOB_CHOICE *p1 = *static_cast<const BLOB_CHOICE *const *>(void1);
+  const BLOB_CHOICE *p2 = *static_cast<const BLOB_CHOICE *const *>(void2);
+
+  return p1->unichar_id() - p2->unichar_id();
+}
+
+template <class BLOB_CHOICE>
+int SortByRating(const void *void1, const void *void2) {
+  const BLOB_CHOICE *p1 = *static_cast<const BLOB_CHOICE *const *>(void1);
+  const BLOB_CHOICE *p2 = *static_cast<const BLOB_CHOICE *const *>(void2);
+
+  if (p1->rating() < p2->rating()) {
+    return 1;
+  }
+  return -1;
+}
+
+} // namespace tesseract