/*=========================================================================
 *
 *  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.
 *
 *=========================================================================*/

#include "itkRandomImageSource.h"
#include "itkMeanImageFilter.h"
#include "itkTextOutput.h"
#include "itkTestingMacros.h"
#include "itkVectorImage.h"

int
itkMeanImageFilterTest(int, char *[])
{
  using VectorImageType = itk::VectorImage<float, 3>;
  itk::MeanImageFilter<VectorImageType, VectorImageType>::New();

  // Comment the following if you want to use the itk text output window
  itk::OutputWindow::SetInstance(itk::TextOutput::New());

  constexpr unsigned int Dimension = 2;
  using PixelType = float;

  using FloatImage2DType = itk::Image<PixelType, Dimension>;

  itk::RandomImageSource<FloatImage2DType>::Pointer random;
  random = itk::RandomImageSource<FloatImage2DType>::New();
  random->SetMin(0.0);
  random->SetMax(1000.0);

  FloatImage2DType::SizeValueType randomSize[2];
  randomSize[0] = randomSize[1] = 8;
  random->SetSize(randomSize);

  FloatImage2DType::SpacingValueType spacing[2] = { 0.7, 2.1 };
  random->SetSpacing(spacing);

  FloatImage2DType::PointValueType origin[2] = { 15, 400 };
  random->SetOrigin(origin);

  // Create a mean image
  itk::MeanImageFilter<FloatImage2DType, FloatImage2DType>::Pointer mean =
    itk::MeanImageFilter<FloatImage2DType, FloatImage2DType>::New();

  ITK_EXERCISE_BASIC_OBJECT_METHODS(mean, MeanImageFilter, BoxImageFilter);

  ITK_TRY_EXPECT_NO_EXCEPTION(random->Update());

  mean->SetInput(random->GetOutput());

  // Define the neighborhood size used for the mean filter (5x5)
  FloatImage2DType::SizeType neighRadius;
  neighRadius[0] = 1;
  neighRadius[1] = 1;
  mean->SetRadius(neighRadius);
  ITK_TEST_SET_GET_VALUE(neighRadius, mean->GetRadius());

  ITK_TRY_EXPECT_NO_EXCEPTION(mean->Update());

  itk::ImageRegionIterator<FloatImage2DType> it;
  it = itk::ImageRegionIterator<FloatImage2DType>(random->GetOutput(), random->GetOutput()->GetBufferedRegion());
  std::cout << "Input image" << std::endl;
  unsigned int i;
  for (i = 1; !it.IsAtEnd(); ++i, ++it)
  {
    std::cout << '\t' << it.Get();
    if ((i % 8) == 0)
    {
      std::cout << std::endl;
    }
  }

  std::cout << "Output image" << std::endl;
  it = itk::ImageRegionIterator<FloatImage2DType>(mean->GetOutput(), mean->GetOutput()->GetBufferedRegion());
  for (i = 1; !it.IsAtEnd(); ++i, ++it)
  {
    std::cout << '\t' << it.Get();
    if ((i % 8) == 0)
    {
      std::cout << std::endl;
    }
  }

  return EXIT_SUCCESS;
}
