def test_Level1PerfusionDesign_outputs():
output_map = dict(spm_mat_file=dict(),
)
outputs = Level1PerfusionDesign.output_spec()
for key, metadata in list(output_map.items()):
for metakey, value in list(metadata.items()):
yield assert_equal, getattr(outputs.traits()[key], metakey), value
def test_Level1PerfusionDesign_inputs():
input_map = dict(bases=dict(field='bases',
mandatory=True,
),
factor_info=dict(field='fact',
),
global_intensity_normalization=dict(field='global',
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
interscan_interval=dict(field='timing.RT',
mandatory=True,
),
mask_image=dict(field='mask',
),
mask_threshold=dict(usedefault=True,
),
microtime_onset=dict(field='timing.fmri_t0',
),
microtime_resolution=dict(field='timing.fmri_t',
),
model_serial_correlations=dict(field='cvi',
),
perfusion_bases=dict(field='perfusion bases',
mandatory=True,
),
session_info=dict(field='sess',
mandatory=True,
),
spm_mat_dir=dict(field='dir',
),
timing_units=dict(field='timing.units',
mandatory=True,
),
volterra_expansion_order=dict(field='volt',
),
)
inputs = Level1PerfusionDesign.input_spec()
for key, metadata in list(input_map.items()):
for metakey, value in list(metadata.items()):
yield assert_equal, getattr(inputs.traits()[key], metakey), value
