text: /*=========================================================================
   *
   *  Copyright Insight Software Consortium
   *
   *  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
   *
   *         http://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 "itkSimpleFilterWatcher.h"
  #include "itkImageFileWriter.h"
  #include "itkGaussianImageSource.h"
  #include "itkTestingMacros.h"
  #include "itkMath.h"
  
  int
  itkGaussianImageSourceTest(int argc, char * argv[])
  {
    if (argc < 3)
    {
      std::cout << "Usage: " << itkNameOfTestExecutableMacro(argv) << " outputImage normalized" << std::endl;
      return EXIT_FAILURE;
    }
  
    constexpr unsigned int Dimension = 3;
    using PixelType = unsigned char;
  
    using ImageType = itk::Image<PixelType, Dimension>;
  
    // Create a Gaussian image source
    using GaussianSourceType = itk::GaussianImageSource<ImageType>;
    GaussianSourceType::Pointer gaussianImage = GaussianSourceType::New();
  
    ImageType::SpacingValueType spacing[] = { 1.2f, 1.3f, 1.4f };
    ImageType::PointValueType   origin[] = { 1.0f, 4.0f, 2.0f };
    ImageType::SizeValueType    size[] = { 130, 150, 120 };
    ImageType::DirectionType    direction;
    direction.SetIdentity();
  
    GaussianSourceType::ArrayType mean;
    mean[0] = size[0] / 2.0f + origin[0];
    mean[1] = size[1] / 2.0f + origin[1];
    mean[2] = size[2] / 2.0f + origin[2];
  
    GaussianSourceType::ArrayType sigma;
    sigma[0] = 25.0f;
    sigma[1] = 35.0f;
    sigma[2] = 55.0f;
  
    gaussianImage->SetSize(size);
    for (unsigned int i = 0; i < Dimension; ++i)
    {
      ITK_TEST_SET_GET_VALUE(size[i], gaussianImage->GetSize()[i]);
    }
  
    gaussianImage->SetOrigin(origin);
    for (unsigned int i = 0; i < Dimension; ++i)
    {
      ITK_TEST_SET_GET_VALUE(origin[i], gaussianImage->GetOrigin()[i]);
    }
  
    gaussianImage->SetSpacing(spacing);
    for (unsigned int i = 0; i < Dimension; ++i)
    {
      ITK_TEST_SET_GET_VALUE(spacing[i], gaussianImage->GetSpacing()[i]);
    }
  
    gaussianImage->SetDirection(direction);
    ITK_TEST_SET_GET_VALUE(direction, gaussianImage->GetDirection());
  
    // Test SetReferenceImage from GenerateImageSource base class.
    ImageType::Pointer   referenceImage = ImageType::New();
    ImageType::IndexType startIndex;
    startIndex.Fill(0);
    ImageType::SizeType referenceSize;
    referenceSize.SetSize(size);
    ImageType::RegionType region(startIndex, referenceSize);
    referenceImage->SetRegions(region);
    referenceImage->Allocate();
    referenceImage->FillBuffer(0);
  
    referenceImage->SetOrigin(origin);
    referenceImage->SetSpacing(spacing);
    referenceImage->SetDirection(direction);
    gaussianImage->SetReferenceImage(referenceImage);
    bool useReferenceImage = true;
    ITK_TEST_SET_GET_BOOLEAN(gaussianImage, UseReferenceImage, useReferenceImage);
    gaussianImage->SetReferenceImage(referenceImage);
    ITK_TEST_SET_GET_VALUE(referenceImage, gaussianImage->GetReferenceImage());
  
    gaussianImage->SetOutputParametersFromImage(referenceImage);
  
    bool normalized = std::stoi(argv[2]) != 0;
    ITK_TEST_SET_GET_BOOLEAN(gaussianImage, Normalized, normalized);
  
    gaussianImage->SetMean(mean);
    ITK_TEST_SET_GET_VALUE(mean, gaussianImage->GetMean());
  
    gaussianImage->SetSigma(sigma);
    ITK_TEST_SET_GET_VALUE(sigma, gaussianImage->GetSigma());
  
  
    // Check the parameters
    GaussianSourceType::ParametersType params = gaussianImage->GetParameters();
    if (params.GetSize() != 7)
    {
      std::cerr << "Incorrect number of parameters. Expected 7, got " << params.GetSize() << "." << std::endl;
      return EXIT_FAILURE;
    }
  
    if (itk::Math::NotAlmostEquals(params[0], sigma[0]) || itk::Math::NotAlmostEquals(params[1], sigma[1]) ||
        itk::Math::NotAlmostEquals(params[2], sigma[2]))
    {
      std::cerr << "Parameters have incorrect sigma value." << std::endl;
      return EXIT_FAILURE;
    }
  
    if (itk::Math::NotAlmostEquals(params[3], mean[0]) || itk::Math::NotAlmostEquals(params[4], mean[1]) ||
        itk::Math::NotAlmostEquals(params[5], mean[2]))
    {
      std::cerr << "Parameters have incorrect mean value." << std::endl;
      return EXIT_FAILURE;
    }
  
    if (itk::Math::NotAlmostEquals(params[6], gaussianImage->GetScale()))
    {
      std::cerr << "Parameters have incorrect scale value." << std::endl;
      return EXIT_FAILURE;
    }
  
    params[0] = 12.0;
    params[1] = 13.0;
    params[2] = 14.0;
    params[3] = 22.0;
    params[4] = 32.0;
    params[5] = 42.0;
    params[6] = 55.5;
    gaussianImage->SetParameters(params);
  
    if (itk::Math::NotAlmostEquals(gaussianImage->GetSigma()[0], params[0]) ||
        itk::Math::NotAlmostEquals(gaussianImage->GetSigma()[1], params[1]) ||
        itk::Math::NotAlmostEquals(gaussianImage->GetSigma()[2], params[2]))
    {
      std::cerr << "Sigma disagrees with parameters array." << std::endl;
      std::cerr << "Sigma: " << gaussianImage->GetSigma() << ", parameters: [" << params[0] << ", " << params[1] << ", "
                << params[2] << "]" << std::endl;
      return EXIT_FAILURE;
    }
  
    if (itk::Math::NotAlmostEquals(gaussianImage->GetMean()[0], params[3]) ||
        itk::Math::NotAlmostEquals(gaussianImage->GetMean()[1], params[4]) ||
        itk::Math::NotAlmostEquals(gaussianImage->GetMean()[2], params[5]))
    {
      std::cerr << "Mean disagrees with parameters array." << std::endl;
      std::cerr << "Mean: " << gaussianImage->GetMean() << ", parameters: [" << params[3] << ", " << params[4] << ", "
                << params[5] << "]" << std::endl;
      return EXIT_FAILURE;
    }
  
    if (itk::Math::NotAlmostEquals(gaussianImage->GetScale(), params[6]))
    {
      std::cerr << "Scale disagrees with parameters array." << std::endl;
      std::cerr << "Scale: " << gaussianImage->GetScale() << ", parameters: " << params[6] << std::endl;
      return EXIT_FAILURE;
    }
  
  
    itk::SimpleFilterWatcher watcher(gaussianImage, "GaussianImageSource");
  
    // Run the pipeline
    ITK_TRY_EXPECT_NO_EXCEPTION(gaussianImage->Update());
  
  
    // Get the output of the image source
    ImageType::Pointer outputImage = gaussianImage->GetOutput();
  
    // Write the result image
    using WriterType = itk::ImageFileWriter<ImageType>;
  
    WriterType::Pointer writer = WriterType::New();
  
    writer->SetFileName(argv[1]);
  
    writer->SetInput(outputImage);
  
    ITK_TRY_EXPECT_NO_EXCEPTION(writer->Update());
  
    std::cout << "Test finished" << std::endl;
    return EXIT_SUCCESS;
  }
  