/*=========================================================================
 *
 *  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 "itkGradientRecursiveGaussianImageFilter.h"
#include "itkImageFileReader.h"
#include "itkImageFileWriter.h"
#include "itkMath.h"


int
itkGradientRecursiveGaussianFilterTest4(int argc, char * argv[])
{

  if (argc != 3)
  {
    std::cerr << "Missing Parameters!" << std::endl;
    std::cerr << " inputImageFile outputImageFile" << std::endl;
    return EXIT_FAILURE;
  }

  std::string inFileName = argv[1];

  std::string outFileName = argv[2];

  // Define the dimension of the images
  constexpr unsigned int myDimension = 2;

  // Declare the types of the images
  using FloatType = float;
  using DoubleType = double;
  using myImageType = itk::Image<FloatType, myDimension>;
  using myGradientImageType = itk::VectorImage<FloatType, myDimension>;

  // Create the image
  auto inputImage = myImageType::New();

  using myReaderType = itk::ImageFileReader<myImageType>;
  auto reader = myReaderType::New();
  reader->SetFileName(inFileName);

  // Declare the type for the
  using myFilterType = itk::GradientRecursiveGaussianImageFilter<myImageType, myGradientImageType>;

  // Create a  Filter
  auto filter = myFilterType::New();

  // Connect the input images
  filter->SetInput(reader->GetOutput());

  // Select the value of Sigma
  filter->SetSigma(2.5);

  using myWriterType = itk::ImageFileWriter<myGradientImageType>;
  auto writer = myWriterType::New();
  writer->SetInput(filter->GetOutput());
  writer->SetFileName(outFileName);
  writer->Update();

  // Test also that setting and getting sigma arrays is working
  itk::FixedArray<DoubleType, 2> sigmas;

  if (filter->GetSigma() != 2.5)
  {
    std::cerr << "Exception detected: wrong sigma after SetSigma" << std::endl;
    std::cerr << "Sigma is: " << filter->GetSigma() << ", expected 2.5" << std::endl;
    return EXIT_FAILURE;
  }

  sigmas = filter->GetSigmaArray();
  if (sigmas[0] != 2.5 || sigmas[1] != 2.5)
  {
    std::cerr << "Exception detected: wrong sigma array after SetSigma" << std::endl;
    std::cerr << "Sigma Array: " << sigmas[0] << ", " << sigmas[1] << std::endl;
    std::cerr << "Expected: 2.5, 2.5" << std::endl;
    return EXIT_FAILURE;
  }

  // Set new values
  sigmas[0] = 1.8;
  sigmas[1] = 1.8;
  filter->SetSigmaArray(sigmas);

  sigmas = filter->GetSigmaArray();
  if (itk::Math::NotExactlyEquals(sigmas[0], 1.8) || itk::Math::NotExactlyEquals(sigmas[1], 1.8) ||
      itk::Math::NotExactlyEquals(filter->GetSigma(), 1.8))
  {
    std::cerr << "Exception detected: wrong sigmas after SetSigmaArray" << std::endl;
    std::cerr << "Sigma Array: " << sigmas[0] << ", " << sigmas[1] << std::endl;
    std::cerr << "Sigma: " << filter->GetSigma() << std::endl;
    return EXIT_FAILURE;
  }

  // All objects should be automatically destroyed at this point
  return EXIT_SUCCESS;
}
