/******************************************************************************

 *

 * 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