/*=========================================================================
 *
 *  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 itkTernaryFunctorImageFilter_hxx
#define itkTernaryFunctorImageFilter_hxx

#include "itkImageScanlineIterator.h"
#include "itkTotalProgressReporter.h"

namespace itk
{
template <typename TInputImage1,
          typename TInputImage2,
          typename TInputImage3,
          typename TOutputImage,
          typename TFunction>
TernaryFunctorImageFilter<TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction>::
  TernaryFunctorImageFilter()
{
  this->InPlaceOff();
  this->DynamicMultiThreadingOn();
  this->ThreaderUpdateProgressOff();
}

/**
 * Connect one of the operands for pixel-wise addition
 */
template <typename TInputImage1,
          typename TInputImage2,
          typename TInputImage3,
          typename TOutputImage,
          typename TFunction>
void
TernaryFunctorImageFilter<TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction>::SetInput1(
  const TInputImage1 * image1)
{
  // The ProcessObject is not const-correct so the const_cast is required here
  this->SetNthInput(0, const_cast<TInputImage1 *>(image1));
}

/**
 * Connect one of the operands for pixel-wise addition
 */
template <typename TInputImage1,
          typename TInputImage2,
          typename TInputImage3,
          typename TOutputImage,
          typename TFunction>
void
TernaryFunctorImageFilter<TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction>::SetInput2(
  const TInputImage2 * image2)
{
  // The ProcessObject is not const-correct so the const_cast is required here
  this->SetNthInput(1, const_cast<TInputImage2 *>(image2));
}

/**
 * Connect one of the operands for pixel-wise addition
 */
template <typename TInputImage1,
          typename TInputImage2,
          typename TInputImage3,
          typename TOutputImage,
          typename TFunction>
void
TernaryFunctorImageFilter<TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction>::SetInput3(
  const TInputImage3 * image3)
{
  // The ProcessObject is not const-correct so the const_cast is required here
  this->SetNthInput(2, const_cast<TInputImage3 *>(image3));
}

/**
 * BeforeThreadedGenerateData function. Validate inputs
 */
template <typename TInputImage1,
          typename TInputImage2,
          typename TInputImage3,
          typename TOutputImage,
          typename TFunction>
void
TernaryFunctorImageFilter<TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction>::
  BeforeThreadedGenerateData()
{
  Input1ImagePointer inputPtr1 = dynamic_cast<const TInputImage1 *>((ProcessObject::GetInput(0)));
  Input2ImagePointer inputPtr2 = dynamic_cast<const TInputImage2 *>((ProcessObject::GetInput(1)));
  Input3ImagePointer inputPtr3 = dynamic_cast<const TInputImage3 *>((ProcessObject::GetInput(2)));

  if (inputPtr1.IsNull() || inputPtr2.IsNull() || inputPtr3.IsNull())
  {
    itkExceptionMacro("At least one input is missing. Input1 is " << inputPtr1.GetPointer() << ", "
                                                                  << " Input2 is " << inputPtr2.GetPointer() << ", "
                                                                  << " Input3 is " << inputPtr3.GetPointer());
  }
}

/**
 * DynamicThreadedGenerateData function. Performs the pixel-wise addition
 */
template <typename TInputImage1,
          typename TInputImage2,
          typename TInputImage3,
          typename TOutputImage,
          typename TFunction>
void
TernaryFunctorImageFilter<TInputImage1, TInputImage2, TInputImage3, TOutputImage, TFunction>::
  DynamicThreadedGenerateData(const OutputImageRegionType & outputRegionForThread)
{
  // We use dynamic_cast since inputs are stored as DataObjects.  The
  // ImageToImageFilter::GetInput(int) always returns a pointer to a
  // TInputImage1 so it cannot be used for the second or third input.
  Input1ImagePointer inputPtr1 = dynamic_cast<const TInputImage1 *>((ProcessObject::GetInput(0)));
  Input2ImagePointer inputPtr2 = dynamic_cast<const TInputImage2 *>((ProcessObject::GetInput(1)));
  Input3ImagePointer inputPtr3 = dynamic_cast<const TInputImage3 *>((ProcessObject::GetInput(2)));
  OutputImagePointer outputPtr = this->GetOutput(0);

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

  ImageScanlineConstIterator inputIt1(inputPtr1, outputRegionForThread);
  ImageScanlineConstIterator inputIt2(inputPtr2, outputRegionForThread);
  ImageScanlineConstIterator inputIt3(inputPtr3, outputRegionForThread);
  ImageScanlineIterator      outputIt(outputPtr, outputRegionForThread);

  while (!inputIt1.IsAtEnd())
  {
    while (!inputIt1.IsAtEndOfLine())
    {
      outputIt.Set(m_Functor(inputIt1.Get(), inputIt2.Get(), inputIt3.Get()));
      ++inputIt1;
      ++inputIt2;
      ++inputIt3;
      ++outputIt;
    }
    inputIt1.NextLine();
    inputIt2.NextLine();
    inputIt3.NextLine();
    outputIt.NextLine();
    progress.Completed(outputRegionForThread.GetSize()[0]);
  }
}
} // end namespace itk

#endif
