def test_MedicAlgorithmN3_outputs():
output_map = dict(outInhomogeneity=dict(),
outInhomogeneity2=dict(),
)
outputs = MedicAlgorithmN3.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_MedicAlgorithmN3_outputs():
output_map = dict(
outInhomogeneity=dict(),
outInhomogeneity2=dict(),
)
outputs = MedicAlgorithmN3.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_MedicAlgorithmN3_inputs():
input_map = dict(args=dict(argstr='%s',
),
environ=dict(nohash=True,
usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
inAutomatic=dict(argstr='--inAutomatic %s',
),
inEnd=dict(argstr='--inEnd %f',
),
inField=dict(argstr='--inField %f',
),
inInput=dict(argstr='--inInput %s',
),
inKernel=dict(argstr='--inKernel %f',
),
inMaximum=dict(argstr='--inMaximum %d',
),
inSignal=dict(argstr='--inSignal %f',
),
inSubsample=dict(argstr='--inSubsample %f',
),
inWeiner=dict(argstr='--inWeiner %f',
),
null=dict(argstr='--null %s',
),
outInhomogeneity=dict(argstr='--outInhomogeneity %s',
hash_files=False,
),
outInhomogeneity2=dict(argstr='--outInhomogeneity2 %s',
hash_files=False,
),
terminal_output=dict(mandatory=True,
nohash=True,
),
xDefaultMem=dict(argstr='-xDefaultMem %d',
),
xMaxProcess=dict(argstr='-xMaxProcess %d',
usedefault=True,
),
xPrefExt=dict(argstr='--xPrefExt %s',
),
)
inputs = MedicAlgorithmN3.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_MedicAlgorithmN3_inputs():
input_map = dict(
args=dict(argstr='%s', ),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
inAutomatic=dict(argstr='--inAutomatic %s', ),
inEnd=dict(argstr='--inEnd %f', ),
inField=dict(argstr='--inField %f', ),
inInput=dict(argstr='--inInput %s', ),
inKernel=dict(argstr='--inKernel %f', ),
inMaximum=dict(argstr='--inMaximum %d', ),
inSignal=dict(argstr='--inSignal %f', ),
inSubsample=dict(argstr='--inSubsample %f', ),
inWeiner=dict(argstr='--inWeiner %f', ),
null=dict(argstr='--null %s', ),
outInhomogeneity=dict(
argstr='--outInhomogeneity %s',
hash_files=False,
),
outInhomogeneity2=dict(
argstr='--outInhomogeneity2 %s',
hash_files=False,
),
terminal_output=dict(
mandatory=True,
nohash=True,
),
xDefaultMem=dict(argstr='-xDefaultMem %d', ),
xMaxProcess=dict(
argstr='-xMaxProcess %d',
usedefault=True,
),
xPrefExt=dict(argstr='--xPrefExt %s', ),
)
inputs = MedicAlgorithmN3.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
