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/*=========================================================================
*
* Copyright UMC Utrecht and contributors
*
* 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.
*
*=========================================================================*/
// First include the header file to be tested:
#include "itkImageRandomCoordinateSampler.h"
#include "elxDefaultConstruct.h"
#include "GTesting/elxCoreMainGTestUtilities.h"
// ITK header files:
#include <itkDeref.h>
#include <itkImage.h>
#include <itkMersenneTwisterRandomVariateGenerator.h>
#include <gtest/gtest.h>
#include <array>
// Using-declarations:
using elx::CoreMainGTestUtilities::DerefSmartPointer;
using elx::CoreMainGTestUtilities::minimumImageSizeValue;
using elx::CoreMainGTestUtilities::CreateImageFilledWithSequenceOfNaturalNumbers;
using itk::Deref;
using itk::Statistics::MersenneTwisterRandomVariateGenerator;
GTEST_TEST(ImageRandomCoordinateSampler, CheckImageValuesOfSamples)
{
using PixelType = int;
using ImageType = itk::Image<PixelType>;
using SamplerType = itk::ImageRandomCoordinateSampler<ImageType>;
const auto image =
CreateImageFilledWithSequenceOfNaturalNumbers<PixelType>(ImageType::SizeType::Filled(minimumImageSizeValue));
elx::DefaultConstruct<MersenneTwisterRandomVariateGenerator> randomVariateGenerator{};
randomVariateGenerator.SetSeed(1);
elx::DefaultConstruct<SamplerType> sampler{};
sampler.SetRandomVariateGenerator(randomVariateGenerator);
const size_t numberOfSamples{ 3 };
sampler.SetNumberOfSamples(numberOfSamples);
sampler.SetInput(image);
sampler.Update();
const auto & samples = Deref(sampler.GetOutput()).CastToSTLConstContainer();
ASSERT_EQ(samples.size(), numberOfSamples);
// The image values that appeared during the development of the test.
const std::array<SamplerType::ImageSampleType::RealType, numberOfSamples> expectedImageValues = { 14.269278,
14.93714,
1.882026 };
for (size_t i{}; i < numberOfSamples; ++i)
{
EXPECT_FLOAT_EQ(samples[i].m_ImageValue, expectedImageValues[i]);
}
}
GTEST_TEST(ImageRandomCoordinateSampler, SetSeedMakesRandomizationDeterministic)
{
using PixelType = int;
using ImageType = itk::Image<PixelType>;
using SamplerType = itk::ImageRandomCoordinateSampler<ImageType>;
const auto image =
CreateImageFilledWithSequenceOfNaturalNumbers<PixelType>(ImageType::SizeType::Filled(minimumImageSizeValue));
for (const SamplerType::SeedIntegerType seed : { 0, 1 })
{
const auto generateSamples = [seed, image] {
elx::DefaultConstruct<MersenneTwisterRandomVariateGenerator> randomVariateGenerator{};
randomVariateGenerator.SetSeed(seed);
elx::DefaultConstruct<SamplerType> sampler{};
sampler.SetRandomVariateGenerator(randomVariateGenerator);
sampler.SetInput(image);
sampler.Update();
return std::move(Deref(sampler.GetOutput()).CastToSTLContainer());
};
const auto samples = generateSamples();
// The test would be trivial (uninteresting) if there were no samples. Note that itk::ImageSamplerBase does
// zero-initialize m_NumberOfSamples, but itk::ImageRandomSamplerBase does m_NumberOfSamples = 1000 afterwards.
EXPECT_FALSE(samples.empty());
// Do the same test another time, to check that the result remains the same.
EXPECT_EQ(generateSamples(), samples);
}
}
GTEST_TEST(ImageRandomCoordinateSampler, HasSameOutputWhenUsingMultiThread)
{
using PixelType = int;
using ImageType = itk::Image<PixelType>;
using SamplerType = itk::ImageRandomCoordinateSampler<ImageType>;
const auto image =
CreateImageFilledWithSequenceOfNaturalNumbers<PixelType>(ImageType::SizeType::Filled(minimumImageSizeValue));
const auto generateSamples = [image](const bool useMultiThread) {
elx::DefaultConstruct<MersenneTwisterRandomVariateGenerator> randomVariateGenerator{};
elx::DefaultConstruct<SamplerType> sampler{};
sampler.SetRandomVariateGenerator(randomVariateGenerator);
sampler.SetUseMultiThread(useMultiThread);
sampler.SetInput(image);
sampler.Update();
return std::move(Deref(sampler.GetOutput()).CastToSTLContainer());
};
EXPECT_EQ(generateSamples(true), generateSamples(false));
}
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