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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 "itkNormalVariateGenerator.h"
int
itkNormalVariateGeneratorTest1(int, char *[])
{
using NormalGeneratorType = itk::Statistics::NormalVariateGenerator;
auto normalGenerator = NormalGeneratorType::New();
normalGenerator->Initialize(101);
std::cout << normalGenerator->GetNameOfClass() << std::endl;
normalGenerator->Print(std::cout);
constexpr unsigned int numberOfSamples = 1000;
double sum = 0.0;
double sum2 = 0.0;
for (unsigned int i = 0; i < numberOfSamples; ++i)
{
const double value = normalGenerator->GetVariate();
sum += value;
sum2 += value * value;
}
const double average = sum / numberOfSamples;
std::cout << "Average = " << average << std::endl;
const double variance = sum2 / numberOfSamples - sum * sum;
std::cout << "Variance = " << variance << std::endl;
//
// FIXME: Add here numerical verification (regression testing)
//
std::cerr << "[PASSED]" << std::endl;
return EXIT_SUCCESS;
}
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