def test_StimulusCorrelation_outputs():
output_map = dict(stimcorr_files=dict(), )
outputs = StimulusCorrelation.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_StimulusCorrelation_outputs():
output_map = dict(stimcorr_files=dict())
outputs = StimulusCorrelation.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_StimulusCorrelation_inputs():
input_map = dict(
intensity_values=dict(mandatory=True),
ignore_exception=dict(nohash=True, usedefault=True),
spm_mat_file=dict(mandatory=True),
realignment_parameters=dict(mandatory=True),
concatenated_design=dict(mandatory=True),
)
inputs = StimulusCorrelation.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_StimulusCorrelation_inputs():
input_map = dict(
concatenated_design=dict(mandatory=True, ),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
intensity_values=dict(mandatory=True, ),
realignment_parameters=dict(mandatory=True, ),
spm_mat_file=dict(mandatory=True, ),
)
inputs = StimulusCorrelation.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
