/******************************************************************************
 **	Filename:    intmatcher.h
 **	Purpose:     Interface to high level generic classifier routines.
 **	Author:      Robert Moss
 **	History:     Wed Feb 13 15:24:15 MST 1991, RWM, Created.
 **
 **	(c) Copyright Hewlett-Packard Company, 1988.
 ** 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.
 ******************************************************************************/
#ifndef   INTMATCHER_H
#define   INTMATCHER_H

#include "params.h"

// Character fragments could be present in the trained templaes
// but turned on/off on the language-by-language basis or depending
// on particular properties of the corpus (e.g. when we expect the
// images to have low exposure).
extern BOOL_VAR_H(disable_character_fragments, FALSE,
                  "Do not include character fragments in the"
                  " results of the classifier");

extern INT_VAR_H(classify_integer_matcher_multiplier, 10,
                 "Integer Matcher Multiplier  0-255:   ");


/**----------------------------------------------------------------------------
          Include Files and Type Defines
----------------------------------------------------------------------------**/
#include "intproto.h"
#include "cutoffs.h"

struct INT_RESULT_STRUCT {
  FLOAT32 Rating;
  uinT8 Config;
  uinT8 Config2;
  uinT16 FeatureMisses;
};

typedef INT_RESULT_STRUCT *INT_RESULT;


struct CP_RESULT_STRUCT {
  FLOAT32 Rating;
  INT_RESULT_STRUCT IMResult;
  CLASS_ID Class;
};

typedef CP_RESULT_STRUCT CLASS_PRUNER_RESULTS[MAX_NUM_CLASSES];

/*----------------------------------------------------------------------------
            Variables
-----------------------------------------------------------------------------*/

extern INT_VAR_H(classify_adapt_proto_thresh, 230,
                 "Threshold for good protos during adaptive 0-255:   ");

extern INT_VAR_H(classify_adapt_feature_thresh, 230,
                 "Threshold for good features during adaptive 0-255:   ");

/**----------------------------------------------------------------------------
          Public Function Prototypes
----------------------------------------------------------------------------**/

#define  SE_TABLE_BITS    9
#define  SE_TABLE_SIZE  512

struct ScratchEvidence {
  uinT8 feature_evidence_[MAX_NUM_CONFIGS];
  int sum_feature_evidence_[MAX_NUM_CONFIGS];
  uinT8 proto_evidence_[MAX_NUM_PROTOS][MAX_PROTO_INDEX];

  void Clear(const INT_CLASS class_template);
  void ClearFeatureEvidence(const INT_CLASS class_template);
  void NormalizeSums(INT_CLASS ClassTemplate, inT16 NumFeatures,
                     inT32 used_features);
  void UpdateSumOfProtoEvidences(
    INT_CLASS ClassTemplate, BIT_VECTOR ConfigMask, inT16 NumFeatures);
};


class IntegerMatcher {
 public:
  // Integer Matcher Theta Fudge (0-255).
  static const int kIntThetaFudge = 128;
  // Bits in Similarity to Evidence Lookup (8-9).
  static const int kEvidenceTableBits = 9;
  // Integer Evidence Truncation Bits (8-14).
  static const int kIntEvidenceTruncBits = 14;
  // Similarity to Evidence Table Exponential Multiplier.
  static const float kSEExponentialMultiplier;
  // Center of Similarity Curve.
  static const float kSimilarityCenter;

  IntegerMatcher() : classify_debug_level_(0) {}

  void Init(tesseract::IntParam *classify_debug_level);

  void Match(INT_CLASS ClassTemplate,
             BIT_VECTOR ProtoMask,
             BIT_VECTOR ConfigMask,
             inT16 NumFeatures,
             const INT_FEATURE_STRUCT* Features,
             INT_RESULT Result,
             int AdaptFeatureThreshold,
             int Debug,
             bool SeparateDebugWindows);

  // Applies the CN normalization factor to the given rating and returns
  // the modified rating.
  float ApplyCNCorrection(float rating, int blob_length,
                          int normalization_factor, int matcher_multiplier);

  int FindGoodProtos(INT_CLASS ClassTemplate,
                     BIT_VECTOR ProtoMask,
                     BIT_VECTOR ConfigMask,
                     uinT16 BlobLength,
                     inT16 NumFeatures,
                     INT_FEATURE_ARRAY Features,
                     PROTO_ID *ProtoArray,
                     int AdaptProtoThreshold,
                     int Debug);

  int FindBadFeatures(INT_CLASS ClassTemplate,
                      BIT_VECTOR ProtoMask,
                      BIT_VECTOR ConfigMask,
                      uinT16 BlobLength,
                      inT16 NumFeatures,
                      INT_FEATURE_ARRAY Features,
                      FEATURE_ID *FeatureArray,
                      int AdaptFeatureThreshold,
                      int Debug);

 private:
  int UpdateTablesForFeature(
      INT_CLASS ClassTemplate,
      BIT_VECTOR ProtoMask,
      BIT_VECTOR ConfigMask,
      int FeatureNum,
      const INT_FEATURE_STRUCT* Feature,
      ScratchEvidence *evidence,
      int Debug);

  int FindBestMatch(INT_CLASS ClassTemplate,
                    const ScratchEvidence &tables,
                    INT_RESULT Result);

#ifndef GRAPHICS_DISABLED
  void DebugFeatureProtoError(
      INT_CLASS ClassTemplate,
      BIT_VECTOR ProtoMask,
      BIT_VECTOR ConfigMask,
      const ScratchEvidence &tables,
      inT16 NumFeatures,
      int Debug);

  void DisplayProtoDebugInfo(
      INT_CLASS ClassTemplate,
      BIT_VECTOR ProtoMask,
      BIT_VECTOR ConfigMask,
      const ScratchEvidence &tables,
      bool SeparateDebugWindows);

  void DisplayFeatureDebugInfo(
      INT_CLASS ClassTemplate,
      BIT_VECTOR ProtoMask,
      BIT_VECTOR ConfigMask,
      inT16 NumFeatures,
      const INT_FEATURE_STRUCT* Features,
      int AdaptFeatureThreshold,
      int Debug,
      bool SeparateDebugWindows);

  void DebugBestMatch(int BestMatch, INT_RESULT Result);
#endif


 private:
  uinT8 similarity_evidence_table_[SE_TABLE_SIZE];
  uinT32 evidence_table_mask_;
  uinT32 mult_trunc_shift_bits_;
  uinT32 table_trunc_shift_bits_;
  tesseract::IntParam *classify_debug_level_;
  uinT32 evidence_mult_mask_;
};

/**----------------------------------------------------------------------------
          Private Function Prototypes
----------------------------------------------------------------------------**/
void IMDebugConfiguration(INT_FEATURE FeatureNum,
                          uinT16 ActualProtoNum,
                          uinT8 Evidence,
                          BIT_VECTOR ConfigMask,
                          uinT32 ConfigWord);

void IMDebugConfigurationSum(INT_FEATURE FeatureNum,
                             uinT8 *FeatureEvidence,
                             inT32 ConfigCount);

void HeapSort (int n, register int ra[], register int rb[]);

/**----------------------------------------------------------------------------
        Global Data Definitions and Declarations
----------------------------------------------------------------------------**/
#endif