/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  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
 *
 *         https://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  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 itkScalarImageToCooccurrenceListSampleFilter_h
#define itkScalarImageToCooccurrenceListSampleFilter_h

#include <typeinfo>

#include "itkImageToListSampleFilter.h"
#include "itkSmartPointer.h"
#include "itkImageRegionIterator.h"
#include "itkShapedNeighborhoodIterator.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkConstantBoundaryCondition.h"
#include "itkFixedArray.h"

#include <vector>
#include <algorithm>
#include <iostream>

namespace itk
{
namespace Statistics
{
/**
 * \class ScalarImageToCooccurrenceListSampleFilter
 *  \brief Converts pixel data into a list of pairs in order to compute a cooccurrence Histogram.
 *
 *  This class is intended to be used in combination with the ListToHistogramFilter class.
 *
 * \author Glenn Pierce
 *
 * \ingroup Statistics
 * \ingroup ITKStatistics
 */

template <typename TImage>
class ITK_TEMPLATE_EXPORT ScalarImageToCooccurrenceListSampleFilter : public ProcessObject
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(ScalarImageToCooccurrenceListSampleFilter);

  using ImageType = TImage;

  using MeasurementVectorType = FixedArray<typename TImage::PixelType, 2>;

  using SampleType = itk::Statistics::ListSample<MeasurementVectorType>;
  using MeasurementVectorSizeType = typename SampleType::MeasurementVectorSizeType;

  /** Standard class type aliases */
  using Self = ScalarImageToCooccurrenceListSampleFilter;
  using Superclass = ProcessObject;
  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

  /** Neighborhood iterator type. */
  using ShapedNeighborhoodIteratorType = itk::ShapedNeighborhoodIterator<TImage, ConstantBoundaryCondition<TImage>>;

  /** Offset type used for Neighborhoods */
  using OffsetType = typename ShapedNeighborhoodIteratorType::OffsetType;
  using OffsetTable = std::vector<OffsetType>;

  void
  UseNeighbor(const OffsetType & offset);

  /** Method to set/get the image */
  using Superclass::SetInput;
  void
  SetInput(const ImageType * image);

  const ImageType *
  GetInput() const;

  /** method to get the List sample */
  const SampleType *
  GetOutput() const;

  /** \see LightObject::GetNameOfClass() */
  itkOverrideGetNameOfClassMacro(ScalarImageToCooccurrenceListSampleFilter);

  /** Method for creation through the object factory. */
  itkNewMacro(Self);

  /** the number of components in a measurement vector */
  static constexpr unsigned int MeasurementVectorSize = 2;

  /** Image dimension. */
  static constexpr unsigned int ImageDimension = TImage::ImageDimension;

protected:
  ScalarImageToCooccurrenceListSampleFilter();
  ~ScalarImageToCooccurrenceListSampleFilter() override = default;
  void
  PrintSelf(std::ostream & os, Indent indent) const override;

  using DataObjectPointer = DataObject::Pointer;
  using DataObjectPointerArraySizeType = ProcessObject::DataObjectPointerArraySizeType;
  using Superclass::MakeOutput;
  DataObjectPointer
  MakeOutput(DataObjectPointerArraySizeType idx) override;

  /** This method causes the filter to generate its output. */
  void
  GenerateData() override;

private:
  OffsetTable m_OffsetTable{};
}; // end of class ScalarImageToListSampleFilter
} // end of namespace Statistics
} // end of namespace itk

#ifndef ITK_MANUAL_INSTANTIATION
#  include "itkScalarImageToCooccurrenceListSampleFilter.hxx"
#endif

#endif
