/*=========================================================================
 *
 *  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 <iostream>

#include "itkRescaleIntensityImageFilter.h"
#include "itkRandomImageSource.h"
#include "itkTestingMacros.h"
#include "itkUnaryFunctorImageFilter.h"

int
itkRescaleIntensityImageFilterTest(int, char *[])
{
  std::cout << "itkRescaleIntensityImageFilterTest Start" << std::endl;

  // Define the dimension of the images
  constexpr unsigned int ImageDimension{ 3 };

  // Declare the pixel types of the images
  using PixelType = float;

  // Declare the types of the images
  using TestInputImage = itk::Image<PixelType, ImageDimension>;
  using TestOutputImage = itk::Image<PixelType, ImageDimension>;

  auto                       size = TestInputImage::SizeType::Filled(64);
  TestInputImage::RegionType region{ size };


  using FilterType = itk::RescaleIntensityImageFilter<TestInputImage, TestOutputImage>;

  auto filter = FilterType::New();

  ITK_EXERCISE_BASIC_OBJECT_METHODS(filter, RescaleIntensityImageFilter, UnaryFunctorImageFilter);

  // Now generate a real image

  using SourceType = itk::RandomImageSource<TestInputImage>;
  auto source = SourceType::New();

  TestInputImage::SizeValueType randomSize[3] = { 17, 8, 20 };

  // Set up source
  source->SetSize(randomSize);
  constexpr double minValue{ -128.0 };
  constexpr double maxValue{ 127.0 };

  source->SetMin(static_cast<TestInputImage::PixelType>(minValue));
  source->SetMax(static_cast<TestInputImage::PixelType>(maxValue));

  filter->SetFunctor(filter->GetFunctor());
  filter->SetInput(source->GetOutput());

  constexpr double desiredMinimum{ -1.0 };
  constexpr double desiredMaximum{ 1.0 };

  filter->SetOutputMinimum(desiredMinimum);
  ITK_TEST_SET_GET_VALUE(desiredMinimum, filter->GetOutputMinimum());

  filter->SetOutputMaximum(desiredMaximum);
  ITK_TEST_SET_GET_VALUE(desiredMaximum, filter->GetOutputMaximum());

  ITK_TRY_EXPECT_NO_EXCEPTION(filter->UpdateLargestPossibleRegion());

  using CalculatorType = itk::MinimumMaximumImageCalculator<TestOutputImage>;
  auto calculator = CalculatorType::New();

  calculator->SetImage(filter->GetOutput());

  calculator->Compute();

  constexpr double tolerance{ 1e-7 };

  const double obtainedMinimum = calculator->GetMinimum();
  const double obtainedMaximum = calculator->GetMaximum();

  if (!itk::Math::FloatAlmostEqual(obtainedMinimum, desiredMinimum, 10, tolerance))
  {
    std::cerr << "Error in minimum" << std::endl;
    std::cerr << "Expected minimum = " << desiredMinimum << std::endl;
    std::cerr << "Obtained minimum = " << obtainedMinimum << std::endl;
    return EXIT_FAILURE;
  }

  if (!itk::Math::FloatAlmostEqual(obtainedMaximum, desiredMaximum, 10, tolerance))
  {
    std::cerr << "Error in minimum" << std::endl;
    std::cerr << "Expected minimum = " << desiredMaximum << std::endl;
    std::cerr << "Obtained minimum = " << obtainedMaximum << std::endl;
    return EXIT_FAILURE;
  }

  std::cout << "Test PASSED ! " << std::endl;
  return EXIT_SUCCESS;
}
