/*=========================================================================
 *
 *  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 "itkMeanSquaresImageToImageMetricv4.h"
#include "itkTranslationTransform.h"
#include "itkVectorImageToImageMetricTraitsv4.h"

/*
 * Compare metric evaluation of scalar image and vector image.
 * Serves as a numerical verification of vector image metric evaluation.
 */

template <typename TMetric>
int
itkMeanSquaresImageToImageMetricv4OnVectorTest2Run(typename TMetric::MeasureType &    measureReturn,
                                                   typename TMetric::DerivativeType & derivativeReturn)
{
  constexpr unsigned int imageSize = 5;
  constexpr unsigned int imageDimensionality = 3;

  using ImageType = typename TMetric::FixedImageType;

  typename ImageType::SizeType size;
  size.Fill(imageSize);
  typename ImageType::IndexType index;
  index.Fill(0);
  typename ImageType::RegionType region;
  region.SetSize(size);
  region.SetIndex(index);
  typename ImageType::SpacingType spacing;
  spacing.Fill(1.0);
  typename ImageType::PointType origin;
  origin.Fill(0);
  typename ImageType::DirectionType direction;
  direction.SetIdentity();

  /* Create simple test images. */
  auto fixedImage = ImageType::New();
  fixedImage->SetRegions(region);
  fixedImage->SetSpacing(spacing);
  fixedImage->SetOrigin(origin);
  fixedImage->SetDirection(direction);
  fixedImage->Allocate();

  auto movingImage = ImageType::New();
  movingImage->SetRegions(region);
  movingImage->SetSpacing(spacing);
  movingImage->SetOrigin(origin);
  movingImage->SetDirection(direction);
  movingImage->Allocate();

  /*
   * Fill both images
   */
  using PixelType = typename ImageType::PixelType;

  itk::ImageRegionIterator<ImageType>          itFixed(fixedImage, region);
  itk::ImageRegionIteratorWithIndex<ImageType> itMoving(movingImage, region);

  itFixed.GoToBegin();
  itMoving.GoToBegin();

  unsigned int count = 1;
  while (!itFixed.IsAtEnd())
  {
    PixelType pix1(count);
    PixelType pix2(1.0 / count);
    itFixed.Set(pix1);
    itMoving.Set(pix2);
    count++;
    ++itFixed;
    ++itMoving;
  }

  /* Transforms */
  using FixedTransformType = itk::TranslationTransform<double, imageDimensionality>;
  using MovingTransformType = itk::TranslationTransform<double, imageDimensionality>;

  auto fixedTransform = FixedTransformType::New();
  auto movingTransform = MovingTransformType::New();

  fixedTransform->SetIdentity();
  movingTransform->SetIdentity();

  auto metric = TMetric::New();

  /* Assign images and transforms.
   * By not setting a virtual domain image or virtual domain settings,
   * the metric will use the fixed image for the virtual domain. */
  metric->SetFixedImage(fixedImage);
  metric->SetMovingImage(movingImage);
  metric->SetFixedTransform(fixedTransform);
  metric->SetMovingTransform(movingTransform);
  metric->SetMaximumNumberOfWorkUnits(1);

  metric->DebugOn();

  /* Initialize. */
  try
  {
    std::cout << "Calling Initialize..." << std::endl;
    metric->Initialize();
  }
  catch (const itk::ExceptionObject & exc)
  {
    std::cerr << "Caught unexpected exception during Initialize: " << exc << std::endl;
    return EXIT_FAILURE;
  }
  std::cout << "Initialized" << std::endl;

  /* Evaluate with GetValueAndDerivative */
  try
  {
    std::cout << "Calling GetValueAndDerivative..." << std::endl;
    metric->GetValueAndDerivative(measureReturn, derivativeReturn);
  }
  catch (const itk::ExceptionObject & exc)
  {
    std::cerr << "Caught unexpected exception during GetValueAndDerivative: " << exc;
    return EXIT_FAILURE;
  }

  return EXIT_SUCCESS;
}

///////////////////////////////////////////////////////////////////////

int
itkMeanSquaresImageToImageMetricv4OnVectorTest2(int, char ** const)
{
  constexpr unsigned int imageDimensionality = 3;
  constexpr unsigned int vectorLength = 3;

  /* The vector metric */
  using VectorType = itk::Vector<double, vectorLength>;
  using VectorImageType = itk::Image<VectorType, imageDimensionality>;

  using MetricTraitsType =
    itk::VectorImageToImageMetricTraitsv4<VectorImageType, VectorImageType, VectorImageType, vectorLength, double>;
  using VectorMetricType =
    itk::MeanSquaresImageToImageMetricv4<VectorImageType, VectorImageType, VectorImageType, double, MetricTraitsType>;

  VectorMetricType::MeasureType    vectorMeasure = 0.0;
  VectorMetricType::DerivativeType vectorDerivative;
  vectorDerivative.Fill(0);

  itkMeanSquaresImageToImageMetricv4OnVectorTest2Run<VectorMetricType>(vectorMeasure, vectorDerivative);
  std::cout << "vectorMeasure: " << vectorMeasure << " vectorDerivative: " << vectorDerivative << std::endl;

  /* The scalar metric */
  using ScalarImageType = itk::Image<double, imageDimensionality>;
  using ScalarMetricType = itk::MeanSquaresImageToImageMetricv4<ScalarImageType, ScalarImageType, ScalarImageType>;

  ScalarMetricType::MeasureType    scalarMeasure = 0.0;
  ScalarMetricType::DerivativeType scalarDerivative;
  scalarDerivative.Fill(0);

  itkMeanSquaresImageToImageMetricv4OnVectorTest2Run<ScalarMetricType>(scalarMeasure, scalarDerivative);
  std::cout << "scalarMeasure: " << scalarMeasure << " scalarDerivative: " << scalarDerivative << std::endl;

  /* Compare */
  double tolerance = 1e-8;
  if (itk::Math::abs(scalarMeasure - (vectorMeasure / vectorLength)) > tolerance)
  {
    std::cerr << "Measures do not match within tolerance. scalarMeasure, vectorMeasure: " << scalarMeasure << ", "
              << vectorMeasure << std::endl;
    return EXIT_FAILURE;
  }
  std::cout << "Measure values match." << std::endl;

  for (itk::SizeValueType n = 0; n < scalarDerivative.Size(); ++n)
  {
    if (itk::Math::abs(scalarDerivative[n] - (vectorDerivative[n] / vectorLength)) > tolerance)
    {
      std::cerr << "Derivatives do not match within tolerance. scalarDerivative, vectorDerivative: " << scalarDerivative
                << std::endl
                << vectorDerivative << std::endl;
      return EXIT_FAILURE;
    }
  }
  std::cout << "Derivative values match." << std::endl;

  std::cout << "Test passed." << std::endl;
  return EXIT_SUCCESS;
}