def test_PETStandardUptakeValueComputation_inputs():
input_map = dict(
OutputLabel=dict(argstr='--OutputLabel %s', ),
OutputLabelValue=dict(argstr='--OutputLabelValue %s', ),
SUVMax=dict(argstr='--SUVMax %s', ),
SUVMean=dict(argstr='--SUVMean %s', ),
SUVMin=dict(argstr='--SUVMin %s', ),
args=dict(argstr='%s', ),
color=dict(argstr='--color %s', ),
csvFile=dict(
argstr='--csvFile %s',
hash_files=False,
),
environ=dict(
nohash=True,
usedefault=True,
),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
labelMap=dict(argstr='--labelMap %s', ),
petDICOMPath=dict(argstr='--petDICOMPath %s', ),
petVolume=dict(argstr='--petVolume %s', ),
terminal_output=dict(nohash=True, ),
)
inputs = PETStandardUptakeValueComputation.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_PETStandardUptakeValueComputation_outputs():
output_map = dict(csvFile=dict(), )
outputs = PETStandardUptakeValueComputation.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_PETStandardUptakeValueComputation_outputs():
output_map = dict(csvFile=dict(),
)
outputs = PETStandardUptakeValueComputation.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_PETStandardUptakeValueComputation_inputs():
input_map = dict(petVolume=dict(argstr='--petVolume %s',
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
color=dict(argstr='--color %s',
),
args=dict(argstr='%s',
),
OutputLabel=dict(argstr='--OutputLabel %s',
),
csvFile=dict(hash_files=False,
argstr='--csvFile %s',
),
OutputLabelValue=dict(argstr='--OutputLabelValue %s',
),
labelMap=dict(argstr='--labelMap %s',
),
petDICOMPath=dict(argstr='--petDICOMPath %s',
),
terminal_output=dict(mandatory=True,
nohash=True,
),
environ=dict(nohash=True,
usedefault=True,
),
SUVMax=dict(argstr='--SUVMax %s',
),
SUVMin=dict(argstr='--SUVMin %s',
),
SUVMean=dict(argstr='--SUVMean %s',
),
)
inputs = PETStandardUptakeValueComputation.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value