--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/mupdf-source/thirdparty/tesseract/src/ccmain/par_control.cpp	Mon Sep 15 11:43:07 2025 +0200
@@ -0,0 +1,70 @@
+///////////////////////////////////////////////////////////////////////
+// File:        par_control.cpp
+// Description: Control code for parallel implementation.
+// Author:      Ray Smith
+//
+// (C) Copyright 2013, Google Inc.
+// 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.
+//
+///////////////////////////////////////////////////////////////////////
+
+#include "tesseractclass.h"
+#ifdef _OPENMP
+#  include <omp.h>
+#endif // _OPENMP
+
+namespace tesseract {
+
+struct BlobData {
+  BlobData() = default;
+  BlobData(int index, Tesseract *tess, const WERD_RES &word)
+      : blob(word.chopped_word->blobs[index])
+      , tesseract(tess)
+      , choices(&(*word.ratings)(index, index)) {}
+
+  TBLOB *blob = nullptr;
+  Tesseract *tesseract = nullptr;
+  BLOB_CHOICE_LIST **choices = nullptr;
+};
+
+void Tesseract::PrerecAllWordsPar(const std::vector<WordData> &words) {
+  // Prepare all the blobs.
+  std::vector<BlobData> blobs;
+  for (const auto &w : words) {
+    if (w.word->ratings != nullptr && w.word->ratings->get(0, 0) == nullptr) {
+      for (size_t s = 0; s < w.lang_words.size(); ++s) {
+        Tesseract *sub = s < sub_langs_.size() ? sub_langs_[s] : this;
+        const WERD_RES &word = *w.lang_words[s];
+        for (unsigned b = 0; b < word.chopped_word->NumBlobs(); ++b) {
+          blobs.emplace_back(b, sub, word);
+        }
+      }
+    }
+  }
+  // Pre-classify all the blobs.
+  if (tessedit_parallelize > 1) {
+#ifdef _OPENMP
+#  pragma omp parallel for num_threads(10)
+#endif // _OPENMP
+    // NOLINTNEXTLINE(modernize-loop-convert)
+    for (size_t b = 0; b < blobs.size(); ++b) {
+      *blobs[b].choices =
+          blobs[b].tesseract->classify_blob(blobs[b].blob, "par", ScrollView::WHITE, nullptr);
+    }
+  } else {
+    // TODO(AMD) parallelize this.
+    for (auto &blob : blobs) {
+      *blob.choices = blob.tesseract->classify_blob(blob.blob, "par", ScrollView::WHITE, nullptr);
+    }
+  }
+}
+
+} // namespace tesseract.