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_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
