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/*=========================================================================
*
* Copyright Insight Software Consortium
*
* 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.
*
*=========================================================================*/
#include "itkListSample.h"
#include "itkStatisticsAlgorithm.h"
#include "itkTestingMacros.h"
// Problem has been solved in _MSC_FULL_VER == 191125508
#if ( NDEBUG && (_MSC_FULL_VER == 190024215 || _MSC_FULL_VER == 191025017 ) )
#pragma optimize ("g", off) // disable global optimizations
#endif
int itkStatisticsAlgorithmTest( int, char * [] )
{
std::cout << "StatisticsAlgorithm Test \n \n";
const unsigned int measurementVectorSize = 2;
typedef itk::Array< float > MeasurementVectorType;
typedef itk::Statistics::ListSample< MeasurementVectorType > SampleType;
SampleType::Pointer sample = SampleType::New();
SampleType::MeasurementVectorType lower( measurementVectorSize );
SampleType::MeasurementVectorType upper( measurementVectorSize );
const SampleType * constSample = sample.GetPointer();
// Testing the exception throwing for samples of measurement size = 0
sample->SetMeasurementVectorSize( 0 );
TRY_EXPECT_EXCEPTION(
itk::Statistics::Algorithm::FindSampleBound(
constSample,
constSample->Begin(), constSample->End(),
lower, upper)
);
// Now set the correct measurement vector size
sample->SetMeasurementVectorSize( measurementVectorSize );
// Testing the equivalent of an empty sample by passing
// the Begin() iterator inlieu of the End() iterator.
TRY_EXPECT_EXCEPTION(
itk::Statistics::Algorithm::FindSampleBound(
constSample,
constSample->Begin(), constSample->Begin(),
lower, upper)
);
MeasurementVectorType measure( measurementVectorSize );
MeasurementVectorType realUpper( measurementVectorSize );
MeasurementVectorType realLower( measurementVectorSize );
const unsigned int numberOfSamples = 25;
realLower.Fill( 1000 );
realUpper.Fill( 0 );
// Force the first value not to be the min or max.
measure[0] = 13;
measure[1] = 39;
sample->PushBack( measure );
for( unsigned int i = 1; i < numberOfSamples; i++ )
{
float value = i + 3;
measure[0] = value;
measure[1] = value * value;
sample->PushBack( measure );
for(unsigned int j = 0; j < measurementVectorSize; j++ )
{
if( measure[j] < realLower[j] )
{
realLower[j] = measure[j];
}
if( measure[j] > realUpper[j] )
{
realUpper[j] = measure[j];
}
}
}
// Now testing the real algorithm
TRY_EXPECT_NO_EXCEPTION(
itk::Statistics::Algorithm::FindSampleBound(
constSample,
constSample->Begin(), constSample->End(),
lower, upper)
);
const float epsilon = 1e-5;
for(unsigned int j = 0; j < measurementVectorSize; j++ )
{
if( itk::Math::abs( lower[j] - realLower[j] ) > epsilon )
{
std::cerr << "FindSampleBound() failed" << std::endl;
std::cerr << "Expected lower = " << realLower << std::endl;
std::cerr << "Computed lower = " << lower << std::endl;
return EXIT_FAILURE;
}
if( itk::Math::abs( upper[j] - realUpper[j] ) > epsilon )
{
std::cerr << "FindSampleBound() failed" << std::endl;
std::cerr << "Expected upper = " << realUpper << std::endl;
std::cerr << "Computed upper = " << upper << std::endl;
return EXIT_FAILURE;
}
}
std::cout << "Test passed." << std::endl;
return EXIT_SUCCESS;
}
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