/*=========================================================================
 *
 *  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 "itkListSample.h"
#include "itkHistogram.h"
#include "itkSampleToHistogramFilter.h"

int
itkSampleToHistogramFilterTest3(int, char *[])
{

  constexpr unsigned int numberOfComponents = 3;
  using MeasurementType = int; // Exercise an integer type for the samples

  using MeasurementVectorType = itk::Array<MeasurementType>;
  using SampleType = itk::Statistics::ListSample<MeasurementVectorType>;

  using HistogramType = itk::Statistics::Histogram<MeasurementType, itk::Statistics::DenseFrequencyContainer2>;

  using FilterType = itk::Statistics::SampleToHistogramFilter<SampleType, HistogramType>;

  using HistogramSizeType = FilterType::HistogramSizeType;
  using HistogramMeasurementVectorType = FilterType::HistogramMeasurementVectorType;

  auto filter = FilterType::New();
  auto sample = SampleType::New();

  HistogramMeasurementVectorType minimum(numberOfComponents);
  HistogramMeasurementVectorType maximum(numberOfComponents);

  minimum[0] = -17;
  minimum[1] = -19;
  minimum[2] = -24;

  maximum[0] = 17;
  maximum[1] = 19;
  maximum[2] = 24;

  HistogramSizeType histogramSize(numberOfComponents);

  histogramSize[0] = 36;
  histogramSize[1] = 40;
  histogramSize[2] = 50;

  MeasurementVectorType measure(numberOfComponents);

  sample->SetMeasurementVectorSize(numberOfComponents);

  // Populate the Sample
  for (unsigned int i = 0; i < histogramSize[0]; ++i)
  {
    measure[0] = minimum[0] + i;
    for (unsigned int j = 0; j < histogramSize[1]; ++j)
    {
      measure[1] = minimum[1] + j;
      for (unsigned int k = 0; k < histogramSize[2]; ++k)
      {
        measure[2] = minimum[2] + k;
        sample->PushBack(measure);
      }
    }
  }


  filter->SetInput(sample);


  // Test exception when calling Update() without having
  // defined the size of the histogram in the filter.
  try
  {
    filter->Update();
    std::cerr << "Failure to throw expected exception due to lack";
    std::cerr << " of calling SetHistogramSize() in the filter ";
    return EXIT_FAILURE;
  }
  catch (const itk::ExceptionObject &)
  {
    std::cout << "Expected exception received" << std::endl;
  }


  const HistogramType * histogram = filter->GetOutput();

  if (histogram->Size() != 0)
  {
    std::cerr << "Histogram Size should have been zero" << std::endl;
    return EXIT_FAILURE;
  }


  filter->SetHistogramSize(histogramSize);

  try
  {
    filter->Update();
  }
  catch (const itk::ExceptionObject & excp)
  {
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
  }

  const unsigned int expectedHistogramSize1 = histogramSize[0] * histogramSize[1] * histogramSize[2];

  if (histogram->Size() != expectedHistogramSize1)
  {
    std::cerr << "Histogram Size error" << std::endl;
    std::cerr << "We expected " << expectedHistogramSize1 << std::endl;
    std::cerr << "We received " << histogram->Size() << std::endl;
    return EXIT_FAILURE;
  }


  HistogramType::ConstIterator histogramItr = histogram->Begin();
  HistogramType::ConstIterator histogramEnd = histogram->End();

  constexpr unsigned int expectedFrequency1 = 1;
  while (histogramItr != histogramEnd)
  {
    if (histogramItr.GetFrequency() != expectedFrequency1)
    {
      std::cerr << "Histogram bin error for measure " << std::endl;
      std::cerr << histogramItr.GetMeasurementVector() << std::endl;
      std::cerr << "Expected frequency = " << expectedFrequency1 << std::endl;
      std::cerr << "Computed frequency = " << histogramItr.GetFrequency() << std::endl;
      return EXIT_FAILURE;
    }
    ++histogramItr;
  }

  // Exercise the saturation of the maximum
  maximum[0] = itk::NumericTraits<MeasurementType>::max();
  maximum[1] = itk::NumericTraits<MeasurementType>::max();
  maximum[2] = itk::NumericTraits<MeasurementType>::max();

  minimum[0] = itk::NumericTraits<MeasurementType>::min();
  minimum[1] = itk::NumericTraits<MeasurementType>::min();
  minimum[2] = itk::NumericTraits<MeasurementType>::min();

  filter->SetHistogramBinMaximum(maximum);
  filter->SetHistogramBinMinimum(minimum);
  filter->SetAutoMinimumMaximum(true);

  try
  {
    filter->Update();
  }
  catch (const itk::ExceptionObject & excp)
  {
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
  }


  filter->SetAutoMinimumMaximum(false);

  // Add a sample that will exercise the overflow code
  //
  measure[0] = itk::NumericTraits<MeasurementType>::max();
  measure[1] = itk::NumericTraits<MeasurementType>::max();
  measure[2] = itk::NumericTraits<MeasurementType>::max();

  sample->PushBack(measure);
  sample->Modified();

  try
  {
    filter->Update();
  }
  catch (const itk::ExceptionObject & excp)
  {
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
  }


  filter->SetAutoMinimumMaximum(true);


  try
  {
    filter->Update();
  }
  catch (const itk::ExceptionObject & excp)
  {
    std::cerr << excp << std::endl;
    return EXIT_FAILURE;
  }


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