def test_BRAINSFit_outputs(): output_map = dict( bsplineTransform=dict(), linearTransform=dict(), logFileReport=dict(), outputFixedVolumeROI=dict(), outputMovingVolumeROI=dict(), outputTransform=dict(), outputVolume=dict(), strippedOutputTransform=dict(), ) outputs = BRAINSFit.output_spec() for key, metadata in output_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_BRAINSFit_inputs(): input_map = dict( ROIAutoClosingSize=dict(argstr="--ROIAutoClosingSize %f"), ROIAutoDilateSize=dict(argstr="--ROIAutoDilateSize %f"), args=dict(argstr="%s"), backgroundFillValue=dict(argstr="--backgroundFillValue %f"), bsplineTransform=dict(argstr="--bsplineTransform %s", hash_files=False), costFunctionConvergenceFactor=dict(argstr="--costFunctionConvergenceFactor %f"), costMetric=dict(argstr="--costMetric %s"), debugLevel=dict(argstr="--debugLevel %d"), environ=dict(nohash=True, usedefault=True), failureExitCode=dict(argstr="--failureExitCode %d"), fixedBinaryVolume=dict(argstr="--fixedBinaryVolume %s"), fixedVolume=dict(argstr="--fixedVolume %s"), fixedVolume2=dict(argstr="--fixedVolume2 %s"), fixedVolumeTimeIndex=dict(argstr="--fixedVolumeTimeIndex %d"), gui=dict(argstr="--gui "), histogramMatch=dict(argstr="--histogramMatch "), ignore_exception=dict(nohash=True, usedefault=True), initialTransform=dict(argstr="--initialTransform %s"), initializeRegistrationByCurrentGenericTransform=dict( argstr="--initializeRegistrationByCurrentGenericTransform " ), initializeTransformMode=dict(argstr="--initializeTransformMode %s"), interpolationMode=dict(argstr="--interpolationMode %s"), linearTransform=dict(argstr="--linearTransform %s", hash_files=False), logFileReport=dict(argstr="--logFileReport %s", hash_files=False), maskInferiorCutOffFromCenter=dict(argstr="--maskInferiorCutOffFromCenter %f"), maskProcessingMode=dict(argstr="--maskProcessingMode %s"), maxBSplineDisplacement=dict(argstr="--maxBSplineDisplacement %f"), maximumNumberOfCorrections=dict(argstr="--maximumNumberOfCorrections %d"), maximumNumberOfEvaluations=dict(argstr="--maximumNumberOfEvaluations %d"), maximumStepLength=dict(argstr="--maximumStepLength %f"), medianFilterSize=dict(argstr="--medianFilterSize %s", sep=","), metricSamplingStrategy=dict(argstr="--metricSamplingStrategy %s"), minimumStepLength=dict(argstr="--minimumStepLength %s", sep=","), movingBinaryVolume=dict(argstr="--movingBinaryVolume %s"), movingVolume=dict(argstr="--movingVolume %s"), movingVolume2=dict(argstr="--movingVolume2 %s"), movingVolumeTimeIndex=dict(argstr="--movingVolumeTimeIndex %d"), numberOfHistogramBins=dict(argstr="--numberOfHistogramBins %d"), numberOfIterations=dict(argstr="--numberOfIterations %s", sep=","), numberOfMatchPoints=dict(argstr="--numberOfMatchPoints %d"), numberOfSamples=dict(argstr="--numberOfSamples %d"), numberOfThreads=dict(argstr="--numberOfThreads %d"), outputFixedVolumeROI=dict(argstr="--outputFixedVolumeROI %s", hash_files=False), outputMovingVolumeROI=dict(argstr="--outputMovingVolumeROI %s", hash_files=False), outputTransform=dict(argstr="--outputTransform %s", hash_files=False), outputVolume=dict(argstr="--outputVolume %s", hash_files=False), outputVolumePixelType=dict(argstr="--outputVolumePixelType %s"), projectedGradientTolerance=dict(argstr="--projectedGradientTolerance %f"), promptUser=dict(argstr="--promptUser "), relaxationFactor=dict(argstr="--relaxationFactor %f"), removeIntensityOutliers=dict(argstr="--removeIntensityOutliers %f"), reproportionScale=dict(argstr="--reproportionScale %f"), samplingPercentage=dict(argstr="--samplingPercentage %f"), scaleOutputValues=dict(argstr="--scaleOutputValues "), skewScale=dict(argstr="--skewScale %f"), splineGridSize=dict(argstr="--splineGridSize %s", sep=","), strippedOutputTransform=dict(argstr="--strippedOutputTransform %s", hash_files=False), terminal_output=dict(nohash=True), transformType=dict(argstr="--transformType %s", sep=","), translationScale=dict(argstr="--translationScale %f"), useAffine=dict(argstr="--useAffine "), useBSpline=dict(argstr="--useBSpline "), useComposite=dict(argstr="--useComposite "), useROIBSpline=dict(argstr="--useROIBSpline "), useRigid=dict(argstr="--useRigid "), useScaleSkewVersor3D=dict(argstr="--useScaleSkewVersor3D "), useScaleVersor3D=dict(argstr="--useScaleVersor3D "), useSyN=dict(argstr="--useSyN "), writeOutputTransformInFloat=dict(argstr="--writeOutputTransformInFloat "), writeTransformOnFailure=dict(argstr="--writeTransformOnFailure "), ) inputs = BRAINSFit.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_BRAINSFit_inputs(): input_map = dict( ROIAutoClosingSize=dict(argstr='--ROIAutoClosingSize %f', ), ROIAutoDilateSize=dict(argstr='--ROIAutoDilateSize %f', ), args=dict(argstr='%s', ), backgroundFillValue=dict(argstr='--backgroundFillValue %f', ), bsplineTransform=dict( argstr='--bsplineTransform %s', hash_files=False, ), costFunctionConvergenceFactor=dict( argstr='--costFunctionConvergenceFactor %f', ), costMetric=dict(argstr='--costMetric %s', ), debugLevel=dict(argstr='--debugLevel %d', ), environ=dict( nohash=True, usedefault=True, ), failureExitCode=dict(argstr='--failureExitCode %d', ), fixedBinaryVolume=dict(argstr='--fixedBinaryVolume %s', ), fixedVolume=dict(argstr='--fixedVolume %s', ), fixedVolume2=dict(argstr='--fixedVolume2 %s', ), fixedVolumeTimeIndex=dict(argstr='--fixedVolumeTimeIndex %d', ), gui=dict(argstr='--gui ', ), histogramMatch=dict(argstr='--histogramMatch ', ), ignore_exception=dict( nohash=True, usedefault=True, ), initialTransform=dict(argstr='--initialTransform %s', ), initializeRegistrationByCurrentGenericTransform=dict( argstr='--initializeRegistrationByCurrentGenericTransform ', ), initializeTransformMode=dict(argstr='--initializeTransformMode %s', ), interpolationMode=dict(argstr='--interpolationMode %s', ), linearTransform=dict( argstr='--linearTransform %s', hash_files=False, ), logFileReport=dict( argstr='--logFileReport %s', hash_files=False, ), maskInferiorCutOffFromCenter=dict( argstr='--maskInferiorCutOffFromCenter %f', ), maskProcessingMode=dict(argstr='--maskProcessingMode %s', ), maxBSplineDisplacement=dict(argstr='--maxBSplineDisplacement %f', ), maximumNumberOfCorrections=dict( argstr='--maximumNumberOfCorrections %d', ), maximumNumberOfEvaluations=dict( argstr='--maximumNumberOfEvaluations %d', ), maximumStepLength=dict(argstr='--maximumStepLength %f', ), medianFilterSize=dict( argstr='--medianFilterSize %s', sep=',', ), metricSamplingStrategy=dict(argstr='--metricSamplingStrategy %s', ), minimumStepLength=dict( argstr='--minimumStepLength %s', sep=',', ), movingBinaryVolume=dict(argstr='--movingBinaryVolume %s', ), movingVolume=dict(argstr='--movingVolume %s', ), movingVolume2=dict(argstr='--movingVolume2 %s', ), movingVolumeTimeIndex=dict(argstr='--movingVolumeTimeIndex %d', ), numberOfHistogramBins=dict(argstr='--numberOfHistogramBins %d', ), numberOfIterations=dict( argstr='--numberOfIterations %s', sep=',', ), numberOfMatchPoints=dict(argstr='--numberOfMatchPoints %d', ), numberOfSamples=dict(argstr='--numberOfSamples %d', ), numberOfThreads=dict(argstr='--numberOfThreads %d', ), outputFixedVolumeROI=dict( argstr='--outputFixedVolumeROI %s', hash_files=False, ), outputMovingVolumeROI=dict( argstr='--outputMovingVolumeROI %s', hash_files=False, ), outputTransform=dict( argstr='--outputTransform %s', hash_files=False, ), outputVolume=dict( argstr='--outputVolume %s', hash_files=False, ), outputVolumePixelType=dict(argstr='--outputVolumePixelType %s', ), projectedGradientTolerance=dict( argstr='--projectedGradientTolerance %f', ), promptUser=dict(argstr='--promptUser ', ), relaxationFactor=dict(argstr='--relaxationFactor %f', ), removeIntensityOutliers=dict(argstr='--removeIntensityOutliers %f', ), reproportionScale=dict(argstr='--reproportionScale %f', ), samplingPercentage=dict(argstr='--samplingPercentage %f', ), scaleOutputValues=dict(argstr='--scaleOutputValues ', ), skewScale=dict(argstr='--skewScale %f', ), splineGridSize=dict( argstr='--splineGridSize %s', sep=',', ), strippedOutputTransform=dict( argstr='--strippedOutputTransform %s', hash_files=False, ), terminal_output=dict(nohash=True, ), transformType=dict( argstr='--transformType %s', sep=',', ), translationScale=dict(argstr='--translationScale %f', ), useAffine=dict(argstr='--useAffine ', ), useBSpline=dict(argstr='--useBSpline ', ), useComposite=dict(argstr='--useComposite ', ), useROIBSpline=dict(argstr='--useROIBSpline ', ), useRigid=dict(argstr='--useRigid ', ), useScaleSkewVersor3D=dict(argstr='--useScaleSkewVersor3D ', ), useScaleVersor3D=dict(argstr='--useScaleVersor3D ', ), useSyN=dict(argstr='--useSyN ', ), writeOutputTransformInFloat=dict( argstr='--writeOutputTransformInFloat ', ), writeTransformOnFailure=dict(argstr='--writeTransformOnFailure ', ), ) inputs = BRAINSFit.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value