/*=========================================================================
 *
 *  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 itkNaryAddImageFilter_h
#define itkNaryAddImageFilter_h

#include "itkNaryFunctorImageFilter.h"
#include "itkNumericTraits.h"

namespace itk
{
namespace Functor
{
/**
 * \class Add1
 * \brief
 * \ingroup ITKImageIntensity
 */
template <typename TInput, typename TOutput>
class Add1
{
public:
  using AccumulatorType = typename NumericTraits<TInput>::AccumulateType;
  inline TOutput
  operator()(const std::vector<TInput> & B) const
  {
    AccumulatorType sum = TOutput{};

    for (unsigned int i = 0; i < B.size(); ++i)
    {
      sum += static_cast<AccumulatorType>(B[i]);
    }
    return static_cast<TOutput>(sum);
  }

  bool
  operator==(const Add1 &) const
  {
    return true;
  }

  ITK_UNEQUAL_OPERATOR_MEMBER_FUNCTION(Add1);
};
} // namespace Functor

/** \class NaryAddImageFilter
 * \brief Pixel-wise addition of N images.
 *
 * This class is templated over the types of the
 * input images and the type of the output image.
 * Numeric conversions (castings) are done by the C++ defaults.
 *
 * The pixel type of the input images must have a valid definition of
 * the operator+ with each other. This condition is
 * required because internally this filter will perform the operation
 *
   \code
          pixel_from_image_N + pixel_from_image_(N+1)
   \endcode
 *
 * Additionally the type resulting from the sum, will be cast to
 * the pixel type of the output image.
 *
 * The total operation over one pixel will be
 *
   \code
    output_pixel = static_cast<OutputPixelType>( input_pixel_N + input_pixel_(N+1) )
   \endcode
 *
 * For example, this filter could be used directly for adding images whose
 * pixels are vectors of the same dimension, and to store the resulting vector
 * in an output image of vector pixels.
 *
 * \warning No numeric overflow checking is performed in this filter.
 *
 * \ingroup IntensityImageFilters
 * \ingroup MultiThreaded
 * \ingroup ITKImageIntensity
 */
template <typename TInputImage, typename TOutputImage>
class NaryAddImageFilter
  : public NaryFunctorImageFilter<TInputImage,
                                  TOutputImage,
                                  Functor::Add1<typename TInputImage::PixelType, typename TInputImage::PixelType>>
{
public:
  ITK_DISALLOW_COPY_AND_MOVE(NaryAddImageFilter);

  /** Standard class type aliases. */
  using Self = NaryAddImageFilter;
  using Superclass =
    NaryFunctorImageFilter<TInputImage,
                           TOutputImage,
                           Functor::Add1<typename TInputImage::PixelType, typename TInputImage::PixelType>>;

  using Pointer = SmartPointer<Self>;
  using ConstPointer = SmartPointer<const Self>;

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

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

#ifdef ITK_USE_CONCEPT_CHECKING
  // Begin concept checking
  itkConceptMacro(InputConvertibleToOutputCheck,
                  (Concept::Convertible<typename TInputImage::PixelType, typename TOutputImage::PixelType>));
  itkConceptMacro(InputHasZeroCheck, (Concept::HasZero<typename TInputImage::PixelType>));
  // End concept checking
#endif

protected:
  NaryAddImageFilter() = default;
  ~NaryAddImageFilter() override = default;
};
} // end namespace itk

#endif
