def test_Denoise_outputs():
output_map = dict(out_file=dict(), )
outputs = Denoise.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_Denoise_outputs():
output_map = dict(out_file=dict(),
)
outputs = Denoise.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_Denoise_inputs():
input_map = dict(block_radius=dict(),
in_file=dict(mandatory=True,
),
in_mask=dict(),
noise_mask=dict(),
noise_model=dict(mandatory=True,
usedefault=True,
),
patch_radius=dict(),
)
inputs = Denoise.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_Denoise_inputs():
input_map = dict(
block_radius=dict(),
in_file=dict(mandatory=True, ),
in_mask=dict(),
noise_mask=dict(),
noise_model=dict(
mandatory=True,
usedefault=True,
),
patch_radius=dict(),
)
inputs = Denoise.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value