def test_CalculateNormalizedMoments_outputs():
output_map = dict(moments=dict(),
)
outputs = CalculateNormalizedMoments.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_CalculateNormalizedMoments_inputs():
input_map = dict(moment=dict(mandatory=True,
),
timeseries_file=dict(mandatory=True,
),
)
inputs = CalculateNormalizedMoments.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
