def test_JointFusion_inputs(): input_map = dict( alpha=dict( requires=['method'], usedefault=True, ), args=dict(argstr='%s', ), atlas_group_id=dict(argstr='-gp %d...', ), atlas_group_weights=dict(argstr='-gpw %d...', ), beta=dict( requires=['method'], usedefault=True, ), dimension=dict( argstr='%d', mandatory=True, position=0, usedefault=True, ), environ=dict( nohash=True, usedefault=True, ), exclusion_region=dict(argstr='-x %s', ), ignore_exception=dict( nohash=True, usedefault=True, ), method=dict( argstr='-m %s', usedefault=True, ), modalities=dict( argstr='%d', mandatory=True, position=1, ), num_threads=dict( nohash=True, usedefault=True, ), output_label_image=dict( argstr='%s', mandatory=True, name_template='%s', output_name='output_label_image', position=-1, ), patch_radius=dict( argstr='-rp %s', maxlen=3, minlen=3, ), search_radius=dict( argstr='-rs %s', maxlen=3, minlen=3, ), target_image=dict( argstr='-tg %s...', mandatory=True, ), terminal_output=dict(nohash=True, ), warped_intensity_images=dict( argstr='-g %s...', mandatory=True, ), warped_label_images=dict( argstr='-l %s...', mandatory=True, ), ) inputs = JointFusion.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_JointFusion_inputs(): input_map = dict(alpha=dict(requires=['method'], usedefault=True, ), args=dict(argstr='%s', ), atlas_group_id=dict(argstr='-gp %d...', ), atlas_group_weights=dict(argstr='-gpw %d...', ), beta=dict(requires=['method'], usedefault=True, ), dimension=dict(argstr='%d', mandatory=True, position=0, usedefault=True, ), environ=dict(nohash=True, usedefault=True, ), exclusion_region=dict(argstr='-x %s', ), ignore_exception=dict(nohash=True, usedefault=True, ), method=dict(argstr='-m %s', usedefault=True, ), modalities=dict(argstr='%d', mandatory=True, position=1, ), num_threads=dict(nohash=True, usedefault=True, ), output_label_image=dict(argstr='%s', mandatory=True, name_template='%s', output_name='output_label_image', position=-1, ), patch_radius=dict(argstr='-rp %s', maxlen=3, minlen=3, ), search_radius=dict(argstr='-rs %s', maxlen=3, minlen=3, ), target_image=dict(argstr='-tg %s...', mandatory=True, ), terminal_output=dict(nohash=True, ), warped_intensity_images=dict(argstr='-g %s...', mandatory=True, ), warped_label_images=dict(argstr='-l %s...', mandatory=True, ), ) inputs = JointFusion.input_spec() for key, metadata in input_map.items(): for metakey, value in metadata.items(): yield assert_equal, getattr(inputs.traits()[key], metakey), value