/*=========================================================================
 *
 *  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 itkMorphologyImageFilter_hxx
#define itkMorphologyImageFilter_hxx

#include <climits>

#include "itkNumericTraits.h"
#include "itkNeighborhoodAlgorithm.h"
#include "itkTotalProgressReporter.h"

namespace itk
{
template <typename TInputImage, typename TOutputImage, typename TKernel>
MorphologyImageFilter<TInputImage, TOutputImage, TKernel>::MorphologyImageFilter()
{
  m_DefaultBoundaryCondition.SetConstant(PixelType{});
  m_BoundaryCondition = &m_DefaultBoundaryCondition;
  this->DynamicMultiThreadingOn();
  this->ThreaderUpdateProgressOff();
}

template <typename TInputImage, typename TOutputImage, typename TKernel>
void
MorphologyImageFilter<TInputImage, TOutputImage, TKernel>::DynamicThreadedGenerateData(
  const OutputImageRegionType & outputRegionForThread)
{
  // Neighborhood iterators
  NeighborhoodIteratorType b_iter;

  // Find the boundary "faces"
  NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>                        fC;
  typename NeighborhoodAlgorithm::ImageBoundaryFacesCalculator<InputImageType>::FaceListType faceList =
    fC(this->GetInput(), outputRegionForThread, this->GetKernel().GetRadius());

  TotalProgressReporter progress(this, this->GetOutput()->GetRequestedRegion().GetNumberOfPixels());

  ImageRegionIterator<TOutputImage> o_iter;

  // Process the boundary faces, these are N-d regions which border the
  // edge of the buffer

  const KernelIteratorType kernelBegin = this->GetKernel().Begin();
  const KernelIteratorType kernelEnd = this->GetKernel().End();

  for (const auto & face : faceList)
  {
    b_iter = NeighborhoodIteratorType(this->GetKernel().GetRadius(), this->GetInput(), face);

    o_iter = ImageRegionIterator<OutputImageType>(this->GetOutput(), face);
    b_iter.OverrideBoundaryCondition(m_BoundaryCondition);
    b_iter.GoToBegin();

    while (!o_iter.IsAtEnd())
    {
      o_iter.Set(this->Evaluate(b_iter, kernelBegin, kernelEnd));
      ++b_iter;
      ++o_iter;
      progress.CompletedPixel();
    }
  }
}

template <typename TInputImage, typename TOutputImage, typename TKernel>
void
MorphologyImageFilter<TInputImage, TOutputImage, TKernel>::PrintSelf(std::ostream & os, Indent indent) const
{
  Superclass::PrintSelf(os, indent);

  os << indent << "Boundary condition: " << typeid(*m_BoundaryCondition).name() << std::endl;
}
} // end namespace itk
#endif
