def test_LaplacianThickness_outputs(): output_map = dict(output_image=dict()) outputs = LaplacianThickness.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_LaplacianThickness_outputs(): output_map = dict(output_image=dict(), ) outputs = LaplacianThickness.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_LaplacianThickness_inputs(): input_map = dict( args=dict(argstr='%s', ), dT=dict( argstr='dT=%d', position=6, ), environ=dict( nohash=True, usedefault=True, ), ignore_exception=dict( nohash=True, usedefault=True, ), input_gm=dict( argstr='%s', copyfile=True, mandatory=True, position=2, ), input_wm=dict( argstr='%s', copyfile=True, mandatory=True, position=1, ), num_threads=dict( nohash=True, usedefault=True, ), opt_tolerance=dict( argstr='optional-laplacian-tolerance=%d', position=8, ), output_image=dict( argstr='%s', genfile=True, hash_files=False, position=3, ), prior_thickness=dict( argstr='priorthickval=%d', position=5, ), smooth_param=dict( argstr='smoothparam=%d', position=4, ), sulcus_prior=dict( argstr='use-sulcus-prior', position=7, ), terminal_output=dict(nohash=True, ), ) inputs = LaplacianThickness.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_LaplacianThickness_inputs(): input_map = dict(args=dict(argstr='%s', ), dT=dict(argstr='dT=%d', position=6, ), environ=dict(nohash=True, usedefault=True, ), ignore_exception=dict(nohash=True, usedefault=True, ), input_gm=dict(argstr='%s', copyfile=True, mandatory=True, position=2, ), input_wm=dict(argstr='%s', copyfile=True, mandatory=True, position=1, ), num_threads=dict(nohash=True, usedefault=True, ), opt_tolerance=dict(argstr='optional-laplacian-tolerance=%d', position=8, ), output_image=dict(argstr='%s', genfile=True, hash_files=False, position=3, ), prior_thickness=dict(argstr='priorthickval=%d', position=5, ), smooth_param=dict(argstr='smoothparam=%d', position=4, ), sulcus_prior=dict(argstr='use-sulcus-prior', position=7, ), terminal_output=dict(nohash=True, ), ) inputs = LaplacianThickness.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value