def test_CannySegmentationLevelSetImageFilter_inputs(): input_map = dict( advectionWeight=dict(argstr='--advectionWeight %f', ), args=dict(argstr='%s', ), cannyThreshold=dict(argstr='--cannyThreshold %f', ), cannyVariance=dict(argstr='--cannyVariance %f', ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), initialModel=dict(argstr='--initialModel %s', ), initialModelIsovalue=dict(argstr='--initialModelIsovalue %f', ), inputVolume=dict(argstr='--inputVolume %s', ), maxIterations=dict(argstr='--maxIterations %d', ), outputSpeedVolume=dict( argstr='--outputSpeedVolume %s', hash_files=False, ), outputVolume=dict( argstr='--outputVolume %s', hash_files=False, ), terminal_output=dict(nohash=True, ), ) inputs = CannySegmentationLevelSetImageFilter.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_CannySegmentationLevelSetImageFilter_outputs(): output_map = dict(outputSpeedVolume=dict(), outputVolume=dict(), ) outputs = CannySegmentationLevelSetImageFilter.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_CannySegmentationLevelSetImageFilter_outputs(): output_map = dict( outputSpeedVolume=dict(), outputVolume=dict(), ) outputs = CannySegmentationLevelSetImageFilter.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_CannySegmentationLevelSetImageFilter_inputs(): input_map = dict(advectionWeight=dict(argstr='--advectionWeight %f', ), args=dict(argstr='%s', ), cannyThreshold=dict(argstr='--cannyThreshold %f', ), cannyVariance=dict(argstr='--cannyVariance %f', ), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), initialModel=dict(argstr='--initialModel %s', ), initialModelIsovalue=dict(argstr='--initialModelIsovalue %f', ), inputVolume=dict(argstr='--inputVolume %s', ), maxIterations=dict(argstr='--maxIterations %d', ), outputSpeedVolume=dict(argstr='--outputSpeedVolume %s', hash_files=False, ), outputVolume=dict(argstr='--outputVolume %s', hash_files=False, ), terminal_output=dict(nohash=True, ), ) inputs = CannySegmentationLevelSetImageFilter.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value