/*=========================================================================
 *
 *  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 itkExpandImageFilter_hxx
#define itkExpandImageFilter_hxx

#include "itkImageScanlineIterator.h"
#include "itkObjectFactory.h"
#include "itkProgressReporter.h"

namespace itk
{
template <typename TInputImage, typename TOutputImage>
ExpandImageFilter<TInputImage, TOutputImage>::ExpandImageFilter()
{
  // Set default factors to 1
  for (unsigned int j = 0; j < ImageDimension; ++j)
  {
    m_ExpandFactors[j] = 1;
  }

  // Setup the default interpolator
  auto interp = DefaultInterpolatorType::New();
  m_Interpolator = static_cast<InterpolatorType *>(interp.GetPointer());

  this->DynamicMultiThreadingOn();
}


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

  os << indent << "ExpandFactors: [";
  {
    unsigned int j = 0;
    for (; j < ImageDimension - 1; ++j)
    {
      os << m_ExpandFactors[j] << ", ";
    }
    os << m_ExpandFactors[j] << ']' << std::endl;
  }
  os << indent << "Interpolator: ";
  os << m_Interpolator.GetPointer() << std::endl;
}

/**
 * Set expand factors from a single unsigned int
 */
template <typename TInputImage, typename TOutputImage>
void
ExpandImageFilter<TInputImage, TOutputImage>::SetExpandFactors(const unsigned int factor)
{
  if (ContainerFillWithCheck(m_ExpandFactors, factor, Self::ImageDimension))
  {
    for (unsigned int j = 0; j < ImageDimension; ++j)
    {
      if (m_ExpandFactors[j] < 1)
      {
        m_ExpandFactors[j] = 1;
      }
    }
    this->Modified();
  }
}


template <typename TInputImage, typename TOutputImage>
void
ExpandImageFilter<TInputImage, TOutputImage>::BeforeThreadedGenerateData()
{
  if (!m_Interpolator || !this->GetInput())
  {
    itkExceptionStringMacro("Interpolator and/or Input not set");
  }

  // Connect input image to interpolator
  m_Interpolator->SetInputImage(this->GetInput());
}


template <typename TInputImage, typename TOutputImage>
void
ExpandImageFilter<TInputImage, TOutputImage>::DynamicThreadedGenerateData(
  const OutputImageRegionType & outputRegionForThread)
{
  // Get the input and output pointers
  const OutputImagePointer outputPtr = this->GetOutput();

  // Report progress on a per scanline basis
  const SizeValueType ln = outputRegionForThread.GetSize(0);
  if (ln == 0)
  {
    return;
  }

  // Walk the output region, and interpolate the input image
  for (ImageScanlineIterator outIt(outputPtr, outputRegionForThread); !outIt.IsAtEnd(); outIt.NextLine())
  {
    const typename OutputImageType::IndexType outputIndex = outIt.ComputeIndex();


    // Determine the input pixel location associated with this output
    // pixel at the start of the scanline.
    //
    // Don't need to check for division by zero because the factors are
    // clamped to be minimum for 1.
    typename InterpolatorType::ContinuousIndexType inputIndex;
    for (unsigned int j = 0; j < ImageDimension; ++j)
    {
      inputIndex[j] = (static_cast<double>(outputIndex[j]) + 0.5) / static_cast<double>(m_ExpandFactors[j]) - 0.5;
    }

    const double lineDelta = 1.0 / static_cast<double>(m_ExpandFactors[0]);

    for (size_t i = 0; i < ln; ++i)
    {


      itkAssertInDebugAndIgnoreInReleaseMacro(m_Interpolator->IsInsideBuffer(inputIndex));

      outIt.Set(static_cast<OutputPixelType>(m_Interpolator->EvaluateAtContinuousIndex(inputIndex)));
      ++outIt;

      // Only increment the x-index as the rest is constant per
      // scanline.
      inputIndex[0] += lineDelta;
    }
  }
}


template <typename TInputImage, typename TOutputImage>
void
ExpandImageFilter<TInputImage, TOutputImage>::GenerateInputRequestedRegion()
{
  // Call the superclass' implementation of this method
  Superclass::GenerateInputRequestedRegion();

  // Get pointers to the input and output
  auto *                  inputPtr = const_cast<InputImageType *>(this->GetInput());
  const OutputImageType * outputPtr = this->GetOutput();

  itkAssertInDebugAndIgnoreInReleaseMacro(inputPtr != nullptr);
  itkAssertInDebugAndIgnoreInReleaseMacro(outputPtr);

  // We need to compute the input requested region (size and start index)
  const typename TOutputImage::SizeType &  outputRequestedRegionSize = outputPtr->GetRequestedRegion().GetSize();
  const typename TOutputImage::IndexType & outputRequestedRegionStartIndex = outputPtr->GetRequestedRegion().GetIndex();

  typename TInputImage::SizeType  inputRequestedRegionSize;
  typename TInputImage::IndexType inputRequestedRegionStartIndex;

  /**
   * inputRequestedSize = (outputRequestedSize / ExpandFactor) + 1)
   * The extra 1 above is to take care of edge effects when streaming.
   */
  for (unsigned int i = 0; i < TInputImage::ImageDimension; ++i)
  {
    inputRequestedRegionSize[i] = (SizeValueType)std::ceil(static_cast<double>(outputRequestedRegionSize[i]) /
                                                           static_cast<double>(m_ExpandFactors[i])) +
                                  1;

    inputRequestedRegionStartIndex[i] = (SizeValueType)std::floor(
      static_cast<double>(outputRequestedRegionStartIndex[i]) / static_cast<double>(m_ExpandFactors[i]));
  }

  typename TInputImage::RegionType inputRequestedRegion{ inputRequestedRegionStartIndex, inputRequestedRegionSize };

  // Make sure the requested region is within largest possible.
  inputRequestedRegion.Crop(inputPtr->GetLargestPossibleRegion());

  // Set the input requested region.
  inputPtr->SetRequestedRegion(inputRequestedRegion);
}


template <typename TInputImage, typename TOutputImage>
void
ExpandImageFilter<TInputImage, TOutputImage>::GenerateOutputInformation()
{
  // Call the superclass' implementation of this method
  Superclass::GenerateOutputInformation();

  // Get pointers to the input and output
  const InputImageType * inputPtr = this->GetInput();
  OutputImageType *      outputPtr = this->GetOutput();

  itkAssertInDebugAndIgnoreInReleaseMacro(inputPtr);
  itkAssertInDebugAndIgnoreInReleaseMacro(outputPtr != nullptr);

  // We need to compute the output spacing, the output image size, and the
  // output image start index
  const typename TInputImage::SpacingType & inputSpacing = inputPtr->GetSpacing();
  const typename TInputImage::SizeType &    inputSize = inputPtr->GetLargestPossibleRegion().GetSize();
  const typename TInputImage::IndexType &   inputStartIndex = inputPtr->GetLargestPossibleRegion().GetIndex();
  const typename TInputImage::PointType &   inputOrigin = inputPtr->GetOrigin();

  typename TOutputImage::SpacingType outputSpacing;
  typename TOutputImage::SizeType    outputSize;
  typename TOutputImage::IndexType   outputStartIndex;
  typename TOutputImage::PointType   outputOrigin;

  typename TInputImage::SpacingType inputOriginShift;

  for (unsigned int i = 0; i < TOutputImage::ImageDimension; ++i)
  {
    outputSpacing[i] = inputSpacing[i] / static_cast<float>(m_ExpandFactors[i]);
    outputSize[i] = inputSize[i] * (SizeValueType)m_ExpandFactors[i];
    outputStartIndex[i] = inputStartIndex[i] * (IndexValueType)m_ExpandFactors[i];
    const double fraction = static_cast<double>(m_ExpandFactors[i] - 1) / static_cast<double>(m_ExpandFactors[i]);
    inputOriginShift[i] = -(inputSpacing[i] / 2.0) * fraction;
  }

  const typename TInputImage::DirectionType inputDirection = inputPtr->GetDirection();
  const typename TOutputImage::SpacingType  outputOriginShift = inputDirection * inputOriginShift;

  outputOrigin = inputOrigin + outputOriginShift;

  outputPtr->SetSpacing(outputSpacing);
  outputPtr->SetOrigin(outputOrigin);

  const typename TOutputImage::RegionType outputLargestPossibleRegion(outputStartIndex, outputSize);

  outputPtr->SetLargestPossibleRegion(outputLargestPossibleRegion);
}
} // end namespace itk

#endif
