githubmirror/tesseract

src/dict/dict.cpp
927 строк35 KB
Stefan Weil
Fix some signed / unsigned mismatches
06 июл 2025, 23:03
06 июл 2025, 23:035490081
///////////////////////////////////////////////////////////////////////
// File:        dict.cpp
// Description: dict class.
// Author:      Samuel Charron
//
// (C) Copyright 2006, 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 "dict.h"

#include "tesserrstream.h"  // for tesserr
#include "tprintf.h"

#include <cstdio>

namespace tesseract {

class Image;

Dict::Dict(CCUtil *ccutil)
    : letter_is_okay_(&tesseract::Dict::def_letter_is_okay)
    , probability_in_context_(&tesseract::Dict::def_probability_in_context)
    , ccutil_(ccutil)
    , wildcard_unichar_id_(INVALID_UNICHAR_ID)
    , apostrophe_unichar_id_(INVALID_UNICHAR_ID)
    , question_unichar_id_(INVALID_UNICHAR_ID)
    , slash_unichar_id_(INVALID_UNICHAR_ID)
    , hyphen_unichar_id_(INVALID_UNICHAR_ID)
    , STRING_MEMBER(user_words_file, "", "A filename of user-provided words.",
                    getCCUtil()->params())
    , STRING_INIT_MEMBER(user_words_suffix, "",
                         "A suffix of user-provided words located in tessdata.",
                         getCCUtil()->params())
    , STRING_MEMBER(user_patterns_file, "", "A filename of user-provided patterns.",
                    getCCUtil()->params())
    , STRING_INIT_MEMBER(user_patterns_suffix, "",
                         "A suffix of user-provided patterns located in "
                         "tessdata.",
                         getCCUtil()->params())
    , BOOL_INIT_MEMBER(load_system_dawg, true, "Load system word dawg.", getCCUtil()->params())
    , BOOL_INIT_MEMBER(load_freq_dawg, true, "Load frequent word dawg.", getCCUtil()->params())
    , BOOL_INIT_MEMBER(load_unambig_dawg, true, "Load unambiguous word dawg.",
                       getCCUtil()->params())
    , BOOL_INIT_MEMBER(load_punc_dawg, true,
                       "Load dawg with punctuation"
                       " patterns.",
                       getCCUtil()->params())
    , BOOL_INIT_MEMBER(load_number_dawg, true,
                       "Load dawg with number"
                       " patterns.",
                       getCCUtil()->params())
    , BOOL_INIT_MEMBER(load_bigram_dawg, true,
                       "Load dawg with special word "
                       "bigrams.",
                       getCCUtil()->params())
    , double_MEMBER(xheight_penalty_subscripts, 0.125,
                    "Score penalty (0.1 = 10%) added if there are subscripts "
                    "or superscripts in a word, but it is otherwise OK.",
                    getCCUtil()->params())
    , double_MEMBER(xheight_penalty_inconsistent, 0.25,
                    "Score penalty (0.1 = 10%) added if an xheight is "
                    "inconsistent.",
                    getCCUtil()->params())
    , double_MEMBER(segment_penalty_dict_frequent_word, 1.0,
                    "Score multiplier for word matches which have good case and"
                    " are frequent in the given language (lower is better).",
                    getCCUtil()->params())
    , double_MEMBER(segment_penalty_dict_case_ok, 1.1,
                    "Score multiplier for word matches that have good case "
                    "(lower is better).",
                    getCCUtil()->params())
    , double_MEMBER(segment_penalty_dict_case_bad, 1.3125,
                    "Default score multiplier for word matches, which may have "
                    "case issues (lower is better).",
                    getCCUtil()->params())
    , double_MEMBER(segment_penalty_dict_nonword, 1.25,
                    "Score multiplier for glyph fragment segmentations which "
                    "do not match a dictionary word (lower is better).",
                    getCCUtil()->params())
    , double_MEMBER(segment_penalty_garbage, 1.50,
                    "Score multiplier for poorly cased strings that are not in"
                    " the dictionary and generally look like garbage (lower is"
                    " better).",
                    getCCUtil()->params())
    , STRING_MEMBER(output_ambig_words_file, "",
                    "Output file for ambiguities found in the dictionary", getCCUtil()->params())
    , INT_MEMBER(dawg_debug_level, 0,
                 "Set to 1 for general debug info"
                 ", to 2 for more details, to 3 to see all the debug messages",
                 getCCUtil()->params())
    , INT_MEMBER(hyphen_debug_level, 0, "Debug level for hyphenated words.", getCCUtil()->params())
    , BOOL_MEMBER(use_only_first_uft8_step, false,
                  "Use only the first UTF8 step of the given string"
                  " when computing log probabilities.",
                  getCCUtil()->params())
    , double_MEMBER(certainty_scale, 20.0, "Certainty scaling factor", getCCUtil()->params())
    , double_MEMBER(stopper_nondict_certainty_base, -2.50, "Certainty threshold for non-dict words",
                    getCCUtil()->params())
    , double_MEMBER(stopper_phase2_certainty_rejection_offset, 1.0, "Reject certainty offset",
                    getCCUtil()->params())
    , INT_MEMBER(stopper_smallword_size, 2, "Size of dict word to be treated as non-dict word",
                 getCCUtil()->params())
    , double_MEMBER(stopper_certainty_per_char, -0.50,
                    "Certainty to add"
                    " for each dict char above small word size.",
                    getCCUtil()->params())
    , double_MEMBER(stopper_allowable_character_badness, 3.0,
                    "Max certainty variation allowed in a word (in sigma)", getCCUtil()->params())
    , INT_MEMBER(stopper_debug_level, 0, "Stopper debug level", getCCUtil()->params())
    , BOOL_MEMBER(stopper_no_acceptable_choices, false,
                  "Make AcceptableChoice() always return false. Useful"
                  " when there is a need to explore all segmentations",
                  getCCUtil()->params())
    , INT_MEMBER(tessedit_truncate_wordchoice_log, 10, "Max words to keep in list",
                 getCCUtil()->params())
    , STRING_MEMBER(word_to_debug, "",
                    "Word for which stopper debug"
                    " information should be printed to stdout",
                    getCCUtil()->params())
    , BOOL_MEMBER(segment_nonalphabetic_script, false,
                  "Don't use any alphabetic-specific tricks."
                  " Set to true in the traineddata config file for"
                  " scripts that are cursive or inherently fixed-pitch",
                  getCCUtil()->params())
    , BOOL_MEMBER(save_doc_words, 0, "Save Document Words", getCCUtil()->params())
    , double_MEMBER(doc_dict_pending_threshold, 0.0, "Worst certainty for using pending dictionary",
                    getCCUtil()->params())
    , double_MEMBER(doc_dict_certainty_threshold, -2.25,
                    "Worst certainty for words that can be inserted into the"
                    " document dictionary",
                    getCCUtil()->params())
    , INT_MEMBER(max_permuter_attempts, 10000,
                 "Maximum number of different"
                 " character choices to consider during permutation."
                 " This limit is especially useful when user patterns"
                 " are specified, since overly generic patterns can result in"
                 " dawg search exploring an overly large number of options.",
                 getCCUtil()->params()) {
  reject_offset_ = 0.0;
  go_deeper_fxn_ = nullptr;
  hyphen_word_ = nullptr;
  last_word_on_line_ = false;
  document_words_ = nullptr;
  dawg_cache_ = nullptr;
  dawg_cache_is_ours_ = false;
  pending_words_ = nullptr;
  bigram_dawg_ = nullptr;
  freq_dawg_ = nullptr;
  punc_dawg_ = nullptr;
  unambig_dawg_ = nullptr;
  wordseg_rating_adjust_factor_ = -1.0f;
  output_ambig_words_file_ = nullptr;
}

Dict::~Dict() {
  End();
  delete hyphen_word_;
  if (output_ambig_words_file_ != nullptr) {
    fclose(output_ambig_words_file_);
  }
}

DawgCache *Dict::GlobalDawgCache() {
  // This global cache (a singleton) will outlive every Tesseract instance
  // (even those that someone else might declare as global static variables).
  static DawgCache cache;
  return &cache;
}

// Sets up ready for a Load or LoadLSTM.
void Dict::SetupForLoad(DawgCache *dawg_cache) {
  if (dawgs_.size() != 0) {
    this->End();
  }

  apostrophe_unichar_id_ = getUnicharset().unichar_to_id(kApostropheSymbol);
  question_unichar_id_ = getUnicharset().unichar_to_id(kQuestionSymbol);
  slash_unichar_id_ = getUnicharset().unichar_to_id(kSlashSymbol);
  hyphen_unichar_id_ = getUnicharset().unichar_to_id(kHyphenSymbol);

  if (dawg_cache != nullptr) {
    dawg_cache_ = dawg_cache;
    dawg_cache_is_ours_ = false;
  } else {
    dawg_cache_ = new DawgCache();
    dawg_cache_is_ours_ = true;
  }
}

// Loads the dawgs needed by Tesseract. Call FinishLoad() after.
void Dict::Load(const std::string &lang, TessdataManager *data_file) {
  // Load dawgs_.
  if (load_punc_dawg) {
    punc_dawg_ =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_PUNC_DAWG, dawg_debug_level, data_file);
    if (punc_dawg_) {
      dawgs_.push_back(punc_dawg_);
    }
  }
  if (load_system_dawg) {
    Dawg *system_dawg =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_SYSTEM_DAWG, dawg_debug_level, data_file);
    if (system_dawg) {
      dawgs_.push_back(system_dawg);
    }
  }
  if (load_number_dawg) {
    Dawg *number_dawg =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_NUMBER_DAWG, dawg_debug_level, data_file);
    if (number_dawg) {
      dawgs_.push_back(number_dawg);
    }
  }
  if (load_bigram_dawg) {
    bigram_dawg_ =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_BIGRAM_DAWG, dawg_debug_level, data_file);
    // The bigram_dawg_ is NOT used like the other dawgs! DO NOT add to the
    // dawgs_!!
  }
  if (load_freq_dawg) {
    freq_dawg_ =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_FREQ_DAWG, dawg_debug_level, data_file);
    if (freq_dawg_) {
      dawgs_.push_back(freq_dawg_);
    }
  }
  if (load_unambig_dawg) {
    unambig_dawg_ =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_UNAMBIG_DAWG, dawg_debug_level, data_file);
    if (unambig_dawg_) {
      dawgs_.push_back(unambig_dawg_);
    }
  }

  std::string name;
  if (!user_words_suffix.empty() || !user_words_file.empty()) {
    Trie *trie_ptr =
        new Trie(DAWG_TYPE_WORD, lang, USER_DAWG_PERM, getUnicharset().size(), dawg_debug_level);
    if (!user_words_file.empty()) {
      name = user_words_file;
    } else {
      name = getCCUtil()->language_data_path_prefix;
      name += user_words_suffix;
    }
    if (!trie_ptr->read_and_add_word_list(name.c_str(), getUnicharset(),
                                          Trie::RRP_REVERSE_IF_HAS_RTL)) {
      tprintf("Error: failed to load %s\n", name.c_str());
      delete trie_ptr;
    } else {
      dawgs_.push_back(trie_ptr);
    }
  }

  if (!user_patterns_suffix.empty() || !user_patterns_file.empty()) {
    Trie *trie_ptr = new Trie(DAWG_TYPE_PATTERN, lang, USER_PATTERN_PERM, getUnicharset().size(),
                              dawg_debug_level);
    trie_ptr->initialize_patterns(&(getUnicharset()));
    if (!user_patterns_file.empty()) {
      name = user_patterns_file;
    } else {
      name = getCCUtil()->language_data_path_prefix;
      name += user_patterns_suffix;
    }
    if (!trie_ptr->read_pattern_list(name.c_str(), getUnicharset())) {
      tprintf("Error: failed to load %s\n", name.c_str());
      delete trie_ptr;
    } else {
      dawgs_.push_back(trie_ptr);
    }
  }

  document_words_ =
      new Trie(DAWG_TYPE_WORD, lang, DOC_DAWG_PERM, getUnicharset().size(), dawg_debug_level);
  dawgs_.push_back(document_words_);

  // This dawg is temporary and should not be searched by letter_is_ok.
  pending_words_ =
      new Trie(DAWG_TYPE_WORD, lang, NO_PERM, getUnicharset().size(), dawg_debug_level);
}

// Loads the dawgs needed by the LSTM model. Call FinishLoad() after.
void Dict::LoadLSTM(const std::string &lang, TessdataManager *data_file) {
  // Load dawgs_.
  if (load_punc_dawg) {
    punc_dawg_ =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_LSTM_PUNC_DAWG, dawg_debug_level, data_file);
    if (punc_dawg_) {
      dawgs_.push_back(punc_dawg_);
    }
  }
  if (load_system_dawg) {
    Dawg *system_dawg =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_LSTM_SYSTEM_DAWG, dawg_debug_level, data_file);
    if (system_dawg) {
      dawgs_.push_back(system_dawg);
    }
  }
  if (load_number_dawg) {
    Dawg *number_dawg =
        dawg_cache_->GetSquishedDawg(lang, TESSDATA_LSTM_NUMBER_DAWG, dawg_debug_level, data_file);
    if (number_dawg) {
      dawgs_.push_back(number_dawg);
    }
  }

  // stolen from Dict::Load (but needs params_ from Tesseract
  // langdata/config/api):
  std::string name;
  if (!user_words_suffix.empty() || !user_words_file.empty()) {
    Trie *trie_ptr =
        new Trie(DAWG_TYPE_WORD, lang, USER_DAWG_PERM, getUnicharset().size(), dawg_debug_level);
    if (!user_words_file.empty()) {
      name = user_words_file;
    } else {
      name = getCCUtil()->language_data_path_prefix;
      name += user_words_suffix;
    }
    if (!trie_ptr->read_and_add_word_list(name.c_str(), getUnicharset(),
                                          Trie::RRP_REVERSE_IF_HAS_RTL)) {
      tprintf("Error: failed to load %s\n", name.c_str());
      delete trie_ptr;
    } else {
      dawgs_.push_back(trie_ptr);
    }
  }

  if (!user_patterns_suffix.empty() || !user_patterns_file.empty()) {
    Trie *trie_ptr = new Trie(DAWG_TYPE_PATTERN, lang, USER_PATTERN_PERM, getUnicharset().size(),
                              dawg_debug_level);
    trie_ptr->initialize_patterns(&(getUnicharset()));
    if (!user_patterns_file.empty()) {
      name = user_patterns_file;
    } else {
      name = getCCUtil()->language_data_path_prefix;
      name += user_patterns_suffix;
    }
    if (!trie_ptr->read_pattern_list(name.c_str(), getUnicharset())) {
      tprintf("Error: failed to load %s\n", name.c_str());
      delete trie_ptr;
    } else {
      dawgs_.push_back(trie_ptr);
    }
  }
}

// Completes the loading process after Load() and/or LoadLSTM().
// Returns false if no dictionaries were loaded.
bool Dict::FinishLoad() {
  if (dawgs_.empty()) {
    return false;
  }
  // Construct a list of corresponding successors for each dawg. Each entry, i,
  // in the successors_ vector is a vector of integers that represent the
  // indices into the dawgs_ vector of the successors for dawg i.
  successors_.reserve(dawgs_.size());
  for (auto dawg : dawgs_) {
    auto *lst = new SuccessorList();
    for (unsigned j = 0; j < dawgs_.size(); ++j) {
      const Dawg *other = dawgs_[j];
      if (dawg != nullptr && other != nullptr && (dawg->lang() == other->lang()) &&
          kDawgSuccessors[dawg->type()][other->type()]) {
        lst->push_back(j);
      }
    }
    successors_.push_back(lst);
  }
  return true;
}

void Dict::End() {
  if (dawgs_.empty()) {
    return; // Not safe to call twice.
  }
  for (auto &dawg : dawgs_) {
    if (!dawg_cache_->FreeDawg(dawg)) {
      delete dawg;
    }
  }
  dawg_cache_->FreeDawg(bigram_dawg_);
  if (dawg_cache_is_ours_) {
    delete dawg_cache_;
    dawg_cache_ = nullptr;
  }
  for (auto successor : successors_) {
    delete successor;
  }
  dawgs_.clear();
  successors_.clear();
  document_words_ = nullptr;
  delete pending_words_;
  pending_words_ = nullptr;
}

// Returns true if in light of the current state unichar_id is allowed
// according to at least one of the dawgs in the dawgs_ vector.
// See more extensive comments in dict.h where this function is declared.
int Dict::def_letter_is_okay(void *void_dawg_args, const UNICHARSET &unicharset,
                             UNICHAR_ID unichar_id, bool word_end) const {
  auto *dawg_args = static_cast<DawgArgs *>(void_dawg_args);

  ASSERT_HOST(unicharset.contains_unichar_id(unichar_id));

  if (dawg_debug_level >= 3) {
    tesserr << "def_letter_is_okay: current unichar="
            << getUnicharset().debug_str(unichar_id)
            << " word_end=" << word_end
            << " num active dawgs=" << dawg_args->active_dawgs->size() << '\n';
  }

  // Do not accept words that contain kPatternUnicharID.
  // (otherwise pattern dawgs would not function correctly).
  // Do not accept words containing INVALID_UNICHAR_IDs.
  if (unichar_id == Dawg::kPatternUnicharID || unichar_id == INVALID_UNICHAR_ID) {
    dawg_args->permuter = NO_PERM;
    return NO_PERM;
  }

  // Initialization.
  PermuterType curr_perm = NO_PERM;
  dawg_args->updated_dawgs->clear();
  dawg_args->valid_end = false;

  // Go over the active_dawgs vector and insert DawgPosition records
  // with the updated ref (an edge with the corresponding unichar id) into
  // dawg_args->updated_pos.
  for (unsigned a = 0; a < dawg_args->active_dawgs->size(); ++a) {
    const DawgPosition &pos = (*dawg_args->active_dawgs)[a];
    const Dawg *punc_dawg = pos.punc_index >= 0 ? dawgs_[pos.punc_index] : nullptr;
    const Dawg *dawg = pos.dawg_index >= 0 ? dawgs_[pos.dawg_index] : nullptr;

    if (!dawg && !punc_dawg) {
      // shouldn't happen.
      tprintf("Received DawgPosition with no dawg or punc_dawg.  wth?\n");
      continue;
    }
    if (!dawg) {
      // We're in the punctuation dawg.  A core dawg has not been chosen.
      NODE_REF punc_node = GetStartingNode(punc_dawg, pos.punc_ref);
      EDGE_REF punc_transition_edge =
          punc_dawg->edge_char_of(punc_node, Dawg::kPatternUnicharID, word_end);
      if (punc_transition_edge != NO_EDGE) {
        // Find all successors, and see which can transition.
        const SuccessorList &slist = *(successors_[pos.punc_index]);
        for (int sdawg_index : slist) {
          const Dawg *sdawg = dawgs_[sdawg_index];
          UNICHAR_ID ch = char_for_dawg(unicharset, unichar_id, sdawg);
          EDGE_REF dawg_edge = sdawg->edge_char_of(0, ch, word_end);
          if (dawg_edge != NO_EDGE) {
            if (dawg_debug_level >= 3) {
              tprintf("Letter found in dawg %d\n", sdawg_index);
            }
            dawg_args->updated_dawgs->add_unique(
                DawgPosition(sdawg_index, dawg_edge, pos.punc_index, punc_transition_edge, false),
                dawg_debug_level > 0, "Append transition from punc dawg to current dawgs: ");
            if (sdawg->permuter() > curr_perm) {
              curr_perm = sdawg->permuter();
            }
            if (sdawg->end_of_word(dawg_edge) && punc_dawg->end_of_word(punc_transition_edge)) {
              dawg_args->valid_end = true;
            }
          }
        }
      }
      EDGE_REF punc_edge = punc_dawg->edge_char_of(punc_node, unichar_id, word_end);
      if (punc_edge != NO_EDGE) {
        if (dawg_debug_level >= 3) {
          tprintf("Letter found in punctuation dawg\n");
        }
        dawg_args->updated_dawgs->add_unique(
            DawgPosition(-1, NO_EDGE, pos.punc_index, punc_edge, false), dawg_debug_level > 0,
            "Extend punctuation dawg: ");
        if (PUNC_PERM > curr_perm) {
          curr_perm = PUNC_PERM;
        }
        if (punc_dawg->end_of_word(punc_edge)) {
          dawg_args->valid_end = true;
        }
      }
      continue;
    }

    if (punc_dawg && dawg->end_of_word(pos.dawg_ref)) {
      // We can end the main word here.
      //  If we can continue on the punc ref, add that possibility.
      NODE_REF punc_node = GetStartingNode(punc_dawg, pos.punc_ref);
      EDGE_REF punc_edge =
          punc_node == NO_EDGE ? NO_EDGE : punc_dawg->edge_char_of(punc_node, unichar_id, word_end);
      if (punc_edge != NO_EDGE) {
        dawg_args->updated_dawgs->add_unique(
            DawgPosition(pos.dawg_index, pos.dawg_ref, pos.punc_index, punc_edge, true),
            dawg_debug_level > 0, "Return to punctuation dawg: ");
        if (dawg->permuter() > curr_perm) {
          curr_perm = dawg->permuter();
        }
        if (punc_dawg->end_of_word(punc_edge)) {
          dawg_args->valid_end = true;
        }
      }
    }

    if (pos.back_to_punc) {
      continue;
    }

    // If we are dealing with the pattern dawg, look up all the
    // possible edges, not only for the exact unichar_id, but also
    // for all its character classes (alpha, digit, etc).
    if (dawg->type() == DAWG_TYPE_PATTERN) {
      ProcessPatternEdges(dawg, pos, unichar_id, word_end, dawg_args, &curr_perm);
      // There can't be any successors to dawg that is of type
      // DAWG_TYPE_PATTERN, so we are done examining this DawgPosition.
      continue;
    }

    // Find the edge out of the node for the unichar_id.
    NODE_REF node = GetStartingNode(dawg, pos.dawg_ref);
    EDGE_REF edge =
        (node == NO_EDGE)
            ? NO_EDGE
            : dawg->edge_char_of(node, char_for_dawg(unicharset, unichar_id, dawg), word_end);

    if (dawg_debug_level >= 3) {
      tprintf("Active dawg: [%d, " REFFORMAT "] edge=" REFFORMAT "\n", pos.dawg_index, node, edge);
    }

    if (edge != NO_EDGE) { // the unichar was found in the current dawg
      if (dawg_debug_level >= 3) {
        tprintf("Letter found in dawg %d\n", pos.dawg_index);
      }
      if (word_end && punc_dawg && !punc_dawg->end_of_word(pos.punc_ref)) {
        if (dawg_debug_level >= 3) {
          tprintf("Punctuation constraint not satisfied at end of word.\n");
        }
        continue;
      }
      if (dawg->permuter() > curr_perm) {
        curr_perm = dawg->permuter();
      }
      if (dawg->end_of_word(edge) &&
          (punc_dawg == nullptr || punc_dawg->end_of_word(pos.punc_ref))) {
        dawg_args->valid_end = true;
      }
      dawg_args->updated_dawgs->add_unique(
          DawgPosition(pos.dawg_index, edge, pos.punc_index, pos.punc_ref, false),
          dawg_debug_level > 0, "Append current dawg to updated active dawgs: ");
    }
  } // end for
  // Update dawg_args->permuter if it used to be NO_PERM or became NO_PERM
  // or if we found the current letter in a non-punctuation dawg. This
  // allows preserving information on which dawg the "core" word came from.
  // Keep the old value of dawg_args->permuter if it is COMPOUND_PERM.
  if (dawg_args->permuter == NO_PERM || curr_perm == NO_PERM ||
      (curr_perm != PUNC_PERM && dawg_args->permuter != COMPOUND_PERM)) {
    dawg_args->permuter = curr_perm;
  }
  if (dawg_debug_level >= 2) {
    tprintf("Returning %d for permuter code for this character.\n", dawg_args->permuter);
  }
  return dawg_args->permuter;
}

void Dict::ProcessPatternEdges(const Dawg *dawg, const DawgPosition &pos, UNICHAR_ID unichar_id,
                               bool word_end, DawgArgs *dawg_args, PermuterType *curr_perm) const {
  NODE_REF node = GetStartingNode(dawg, pos.dawg_ref);
  // Try to find the edge corresponding to the exact unichar_id and to all the
  // edges corresponding to the character class of unichar_id.
  std::vector<UNICHAR_ID> unichar_id_patterns;
  unichar_id_patterns.push_back(unichar_id);
  dawg->unichar_id_to_patterns(unichar_id, getUnicharset(), &unichar_id_patterns);
  for (int unichar_id_pattern : unichar_id_patterns) {
    // On the first iteration check all the outgoing edges.
    // On the second iteration check all self-loops.
    for (int k = 0; k < 2; ++k) {
      EDGE_REF edge = (k == 0)
                          ? dawg->edge_char_of(node, unichar_id_pattern, word_end)
                          : dawg->pattern_loop_edge(pos.dawg_ref, unichar_id_pattern, word_end);
      if (edge == NO_EDGE) {
        continue;
      }
      if (dawg_debug_level >= 3) {
        tprintf("Pattern dawg: [%d, " REFFORMAT "] edge=" REFFORMAT "\n", pos.dawg_index, node,
                edge);
        tprintf("Letter found in pattern dawg %d\n", pos.dawg_index);
      }
      if (dawg->permuter() > *curr_perm) {
        *curr_perm = dawg->permuter();
      }
      if (dawg->end_of_word(edge)) {
        dawg_args->valid_end = true;
      }
      dawg_args->updated_dawgs->add_unique(
          DawgPosition(pos.dawg_index, edge, pos.punc_index, pos.punc_ref, pos.back_to_punc),
          dawg_debug_level > 0, "Append current dawg to updated active dawgs: ");
    }
  }
}

// Fill the given active_dawgs vector with dawgs that could contain the
// beginning of the word. If hyphenated() returns true, copy the entries
// from hyphen_active_dawgs_ instead.
void Dict::init_active_dawgs(DawgPositionVector *active_dawgs, bool ambigs_mode) const {
  if (hyphenated()) {
    *active_dawgs = hyphen_active_dawgs_;
    if (dawg_debug_level >= 3) {
      for (const auto &dawg : hyphen_active_dawgs_) {
        tprintf("Adding hyphen beginning dawg [%d, " REFFORMAT "]\n",
                dawg.dawg_index, dawg.dawg_ref);
      }
    }
  } else {
    default_dawgs(active_dawgs, ambigs_mode);
  }
}

void Dict::default_dawgs(DawgPositionVector *dawg_pos_vec, bool suppress_patterns) const {
  bool punc_dawg_available = (punc_dawg_ != nullptr) &&
                             punc_dawg_->edge_char_of(0, Dawg::kPatternUnicharID, true) != NO_EDGE;

  for (unsigned i = 0; i < dawgs_.size(); i++) {
    if (dawgs_[i] != nullptr && !(suppress_patterns && (dawgs_[i])->type() == DAWG_TYPE_PATTERN)) {
      int dawg_ty = dawgs_[i]->type();
      bool subsumed_by_punc = kDawgSuccessors[DAWG_TYPE_PUNCTUATION][dawg_ty];
      if (dawg_ty == DAWG_TYPE_PUNCTUATION) {
        dawg_pos_vec->push_back(DawgPosition(-1, NO_EDGE, i, NO_EDGE, false));
        if (dawg_debug_level >= 3) {
          tprintf("Adding beginning punc dawg [%u, " REFFORMAT "]\n", i, NO_EDGE);
        }
      } else if (!punc_dawg_available || !subsumed_by_punc) {
        dawg_pos_vec->push_back(DawgPosition(i, NO_EDGE, -1, NO_EDGE, false));
        if (dawg_debug_level >= 3) {
          tprintf("Adding beginning dawg [%u, " REFFORMAT "]\n", i, NO_EDGE);
        }
      }
    }
  }
}

void Dict::add_document_word(const WERD_CHOICE &best_choice) {
  // Do not add hyphenated word parts to the document dawg.
  // hyphen_word_ will be non-nullptr after the set_hyphen_word() is
  // called when the first part of the hyphenated word is
  // discovered and while the second part of the word is recognized.
  // hyphen_word_ is cleared in cc_recg() before the next word on
  // the line is recognized.
  if (hyphen_word_) {
    return;
  }

  int stringlen = best_choice.length();

  if (valid_word(best_choice) || stringlen < 2) {
    return;
  }

  // Discard words that contain >= kDocDictMaxRepChars repeating unichars.
  if (best_choice.length() >= kDocDictMaxRepChars) {
    int num_rep_chars = 1;
    UNICHAR_ID uch_id = best_choice.unichar_id(0);
    for (unsigned i = 1; i < best_choice.length(); ++i) {
      if (best_choice.unichar_id(i) != uch_id) {
        num_rep_chars = 1;
        uch_id = best_choice.unichar_id(i);
      } else {
        ++num_rep_chars;
        if (num_rep_chars == kDocDictMaxRepChars) {
          return;
        }
      }
    }
  }

  if (best_choice.certainty() < doc_dict_certainty_threshold || stringlen == 2) {
    if (best_choice.certainty() < doc_dict_pending_threshold) {
      return;
    }

    if (!pending_words_->word_in_dawg(best_choice)) {
      if (stringlen > 2 ||
          (stringlen == 2 && getUnicharset().get_isupper(best_choice.unichar_id(0)) &&
           getUnicharset().get_isupper(best_choice.unichar_id(1)))) {
        pending_words_->add_word_to_dawg(best_choice);
      }
      return;
    }
  }

  if (save_doc_words) {
    std::string filename(getCCUtil()->imagefile);
    filename += ".doc";
    FILE *doc_word_file = fopen(filename.c_str(), "a");
    if (doc_word_file == nullptr) {
      tprintf("Error: Could not open file %s\n", filename.c_str());
      ASSERT_HOST(doc_word_file);
    }
    fprintf(doc_word_file, "%s\n", best_choice.debug_string().c_str());
    fclose(doc_word_file);
  }
  document_words_->add_word_to_dawg(best_choice);
}

void Dict::adjust_word(WERD_CHOICE *word, bool nonword, XHeightConsistencyEnum xheight_consistency,
                       float additional_adjust, bool modify_rating, bool debug) {
  bool is_han = (getUnicharset().han_sid() != getUnicharset().null_sid() &&
                 word->GetTopScriptID() == getUnicharset().han_sid());
  bool case_is_ok = (is_han || case_ok(*word));
  bool punc_is_ok = (is_han || !nonword || valid_punctuation(*word));

  float adjust_factor = additional_adjust;
  float new_rating = word->rating();
  new_rating += kRatingPad;
  const char *xheight_triggered = "";
  if (word->length() > 1) {
    // Calculate x-height and y-offset consistency penalties.
    switch (xheight_consistency) {
      case XH_INCONSISTENT:
        adjust_factor += xheight_penalty_inconsistent;
        xheight_triggered = ", xhtBAD";
        break;
      case XH_SUBNORMAL:
        adjust_factor += xheight_penalty_subscripts;
        xheight_triggered = ", xhtSUB";
        break;
      case XH_GOOD:
        // leave the factor alone - all good!
        break;
    }
    // TODO(eger): if nonword is true, but there is a "core" that is a dict
    // word, negate nonword status.
  } else {
    if (debug) {
      tprintf("Consistency could not be calculated.\n");
    }
  }
  if (debug) {
    tprintf("%sWord: %s %4.2f%s", nonword ? "Non-" : "", word->unichar_string().c_str(),
            word->rating(), xheight_triggered);
  }

  if (nonword) { // non-dictionary word
    if (case_is_ok && punc_is_ok) {
      adjust_factor += segment_penalty_dict_nonword;
      new_rating *= adjust_factor;
      if (debug) {
        tprintf(", W");
      }
    } else {
      adjust_factor += segment_penalty_garbage;
      new_rating *= adjust_factor;
      if (debug) {
        if (!case_is_ok) {
          tprintf(", C");
        }
        if (!punc_is_ok) {
          tprintf(", P");
        }
      }
    }
  } else { // dictionary word
    if (case_is_ok) {
      if (!is_han && freq_dawg_ != nullptr && freq_dawg_->word_in_dawg(*word)) {
        word->set_permuter(FREQ_DAWG_PERM);
        adjust_factor += segment_penalty_dict_frequent_word;
        new_rating *= adjust_factor;
        if (debug) {
          tprintf(", F");
        }
      } else {
        adjust_factor += segment_penalty_dict_case_ok;
        new_rating *= adjust_factor;
        if (debug) {
          tprintf(", ");
        }
      }
    } else {
      adjust_factor += segment_penalty_dict_case_bad;
      new_rating *= adjust_factor;
      if (debug) {
        tprintf(", C");
      }
    }
  }
  new_rating -= kRatingPad;
  if (modify_rating) {
    word->set_rating(new_rating);
  }
  if (debug) {
    tprintf(" %4.2f --> %4.2f\n", adjust_factor, new_rating);
  }
  word->set_adjust_factor(adjust_factor);
}

int Dict::valid_word(const WERD_CHOICE &word, bool numbers_ok) const {
  const WERD_CHOICE *word_ptr = &word;
  WERD_CHOICE temp_word(word.unicharset());
  if (hyphenated() && hyphen_word_->unicharset() == word.unicharset()) {
    copy_hyphen_info(&temp_word);
    temp_word += word;
    word_ptr = &temp_word;
  }
  if (word_ptr->empty()) {
    return NO_PERM;
  }
  // Allocate vectors for holding current and updated
  // active_dawgs and initialize them.
  DawgPositionVector active_dawgs[2];
  init_active_dawgs(&(active_dawgs[0]), false);
  DawgArgs dawg_args(&(active_dawgs[0]), &(active_dawgs[1]), NO_PERM);
  int last_index = word_ptr->length() - 1;
  // Call letter_is_okay for each letter in the word.
  for (int i = hyphen_base_size(); i <= last_index; ++i) {
    if (!((this->*letter_is_okay_)(&dawg_args, *word_ptr->unicharset(), word_ptr->unichar_id(i),
                                   i == last_index))) {
      break;
    }
    // Swap active_dawgs, constraints with the corresponding updated vector.
    if (dawg_args.updated_dawgs == &(active_dawgs[1])) {
      dawg_args.updated_dawgs = &(active_dawgs[0]);
      ++(dawg_args.active_dawgs);
    } else {
      ++(dawg_args.updated_dawgs);
      dawg_args.active_dawgs = &(active_dawgs[0]);
    }
  }
  return valid_word_permuter(dawg_args.permuter, numbers_ok) ? dawg_args.permuter : NO_PERM;
}

bool Dict::valid_bigram(const WERD_CHOICE &word1, const WERD_CHOICE &word2) const {
  if (bigram_dawg_ == nullptr) {
    return false;
  }

  // Extract the core word from the middle of each word with any digits
  //         replaced with question marks.
  unsigned w1start, w1end, w2start, w2end;
  word1.punct_stripped(&w1start, &w1end);
  word2.punct_stripped(&w2start, &w2end);

  // We don't want to penalize a single guillemet, hyphen, etc.
  // But our bigram list doesn't have any information about punctuation.
  if (w1start >= w1end) {
    return word1.length() < 3;
  }
  if (w2start >= w2end) {
    return word2.length() < 3;
  }

  const UNICHARSET &uchset = getUnicharset();
  std::vector<UNICHAR_ID> bigram_string;
  bigram_string.reserve(w1end + w2end + 1);
  for (auto i = w1start; i < w1end; i++) {
    const auto &normed_ids = getUnicharset().normed_ids(word1.unichar_id(i));
    if (normed_ids.size() == 1 && uchset.get_isdigit(normed_ids[0])) {
      bigram_string.push_back(question_unichar_id_);
    } else {
      bigram_string.insert(bigram_string.end(), normed_ids.begin(), normed_ids.end());
    }
  }
  bigram_string.push_back(UNICHAR_SPACE);
  for (auto i = w2start; i < w2end; i++) {
    const auto &normed_ids = getUnicharset().normed_ids(word2.unichar_id(i));
    if (normed_ids.size() == 1 && uchset.get_isdigit(normed_ids[0])) {
      bigram_string.push_back(question_unichar_id_);
    } else {
      bigram_string.insert(bigram_string.end(), normed_ids.begin(), normed_ids.end());
    }
  }
  WERD_CHOICE normalized_word(&uchset, bigram_string.size());
  for (int i : bigram_string) {
    normalized_word.append_unichar_id_space_allocated(i, 1, 0.0f, 0.0f);
  }
  return bigram_dawg_->word_in_dawg(normalized_word);
}

bool Dict::valid_punctuation(const WERD_CHOICE &word) {
  if (word.empty()) {
    return NO_PERM;
  }
  WERD_CHOICE new_word(word.unicharset());
  auto last_index = word.length() - 1;
  int new_len;
  for (unsigned i = 0; i <= last_index; ++i) {
    UNICHAR_ID unichar_id = (word.unichar_id(i));
    if (getUnicharset().get_ispunctuation(unichar_id)) {
      new_word.append_unichar_id(unichar_id, 1, 0.0, 0.0);
    } else if (!getUnicharset().get_isalpha(unichar_id) &&
               !getUnicharset().get_isdigit(unichar_id)) {
      return false; // neither punc, nor alpha, nor digit
    } else if ((new_len = new_word.length()) == 0 ||
               new_word.unichar_id(new_len - 1) != Dawg::kPatternUnicharID) {
      new_word.append_unichar_id(Dawg::kPatternUnicharID, 1, 0.0, 0.0);
    }
  }
  for (auto dawg : dawgs_) {
    if (dawg != nullptr && dawg->type() == DAWG_TYPE_PUNCTUATION &&
        dawg->word_in_dawg(new_word)) {
      return true;
    }
  }
  return false;
}

/// Returns true if the language is space-delimited (not CJ, or T).
bool Dict::IsSpaceDelimitedLang() const {
  const UNICHARSET &u_set = getUnicharset();
  if (u_set.han_sid() > 0) {
    return false;
  }
  if (u_set.katakana_sid() > 0) {
    return false;
  }
  if (u_set.thai_sid() > 0) {
    return false;
  }
  return true;
}

} // namespace tesseract