File: itkMeanSampleFilterTest2.cxx

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/*=========================================================================
 *
 *  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 "itkMeanSampleFilter.h"
#include "itkListSample.h"

int
itkMeanSampleFilterTest2(int, char *[])
{
  std::cout << "MeanSampleFilter test \n \n";
  bool        pass = true;
  std::string failureMeassage = "";

  constexpr unsigned int MeasurementVectorSize = 2;
  constexpr unsigned int numberOfMeasurementVectors = 2;
  unsigned int           counter;

  using MeasurementVectorType = itk::FixedArray<int, MeasurementVectorSize>;

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

  auto sample = SampleType::New();

  sample->SetMeasurementVectorSize(MeasurementVectorSize);

  MeasurementVectorType measure;

  counter = 0;

  std::cout << "Input sample values " << std::endl;
  while (counter < numberOfMeasurementVectors)
  {
    for (unsigned int i = 0; i < MeasurementVectorSize; ++i)
    {
      measure[i] = counter;
    }
    std::cout << counter << " : " << measure << std::endl;
    sample->PushBack(measure);
    counter++;
  }

  using FilterType = itk::Statistics::MeanSampleFilter<SampleType>;

  auto filter = FilterType::New();

  filter->SetInput(sample);

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

  const FilterType::MeasurementVectorDecoratedType * decorator = filter->GetOutput();
  FilterType::MeasurementVectorRealType              meanOutput = decorator->Get();

  FilterType::MeasurementVectorRealType expectedMean;

  expectedMean[0] = 0.5;
  expectedMean[1] = 0.5;

  std::cout << meanOutput[0] << ' ' << expectedMean[0] << ' ' << meanOutput[1] << ' ' << expectedMean[1] << ' '
            << std::endl;

  // FilterType::MeasurementVectorType::ValueType is an int in this case
  FilterType::MeasurementVectorType::ValueType epsilon = 0;

  if ((itk::Math::abs(meanOutput[0] - expectedMean[0]) > epsilon) ||
      (itk::Math::abs(meanOutput[1] - expectedMean[1]) > epsilon))
  {
    pass = false;
    failureMeassage = "The result is not what is expected";
  }

  if (!pass)
  {
    std::cout << "Test failed." << failureMeassage << std::endl;
    return EXIT_FAILURE;
  }

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