def test_LabelMapSmoothing_inputs(): input_map = dict(args=dict(argstr='%s', ), environ=dict(nohash=True, usedefault=True, ), gaussianSigma=dict(argstr='--gaussianSigma %f', ), ignore_exception=dict(nohash=True, usedefault=True, ), inputVolume=dict(argstr='%s', position=-2, ), labelToSmooth=dict(argstr='--labelToSmooth %d', ), maxRMSError=dict(argstr='--maxRMSError %f', ), numberOfIterations=dict(argstr='--numberOfIterations %d', ), outputVolume=dict(argstr='%s', hash_files=False, position=-1, ), terminal_output=dict(mandatory=True, nohash=True, ), ) inputs = LabelMapSmoothing.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_LabelMapSmoothing_inputs(): input_map = dict( args=dict(argstr='%s', ), environ=dict( nohash=True, usedefault=True, ), gaussianSigma=dict(argstr='--gaussianSigma %f', ), ignore_exception=dict( nohash=True, usedefault=True, ), inputVolume=dict( argstr='%s', position=-2, ), labelToSmooth=dict(argstr='--labelToSmooth %d', ), maxRMSError=dict(argstr='--maxRMSError %f', ), numberOfIterations=dict(argstr='--numberOfIterations %d', ), outputVolume=dict( argstr='%s', hash_files=False, position=-1, ), terminal_output=dict(nohash=True, ), ) inputs = LabelMapSmoothing.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value