def test_FindCenterOfBrain_inputs():
input_map = dict(args=dict(argstr='%s',
),
axis=dict(argstr='--axis %d',
),
backgroundValue=dict(argstr='--backgroundValue %d',
),
clippedImageMask=dict(argstr='--clippedImageMask %s',
hash_files=False,
),
closingSize=dict(argstr='--closingSize %d',
),
debugAfterGridComputationsForegroundImage=dict(argstr='--debugAfterGridComputationsForegroundImage %s',
hash_files=False,
),
debugClippedImageMask=dict(argstr='--debugClippedImageMask %s',
hash_files=False,
),
debugDistanceImage=dict(argstr='--debugDistanceImage %s',
hash_files=False,
),
debugGridImage=dict(argstr='--debugGridImage %s',
hash_files=False,
),
debugTrimmedImage=dict(argstr='--debugTrimmedImage %s',
hash_files=False,
),
environ=dict(nohash=True,
usedefault=True,
),
generateDebugImages=dict(argstr='--generateDebugImages ',
),
headSizeEstimate=dict(argstr='--headSizeEstimate %f',
),
headSizeLimit=dict(argstr='--headSizeLimit %f',
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
imageMask=dict(argstr='--imageMask %s',
),
inputVolume=dict(argstr='--inputVolume %s',
),
maximize=dict(argstr='--maximize ',
),
otsuPercentileThreshold=dict(argstr='--otsuPercentileThreshold %f',
),
terminal_output=dict(nohash=True,
),
)
inputs = FindCenterOfBrain.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_FindCenterOfBrain_inputs():
input_map = dict(
args=dict(argstr='%s', ),
axis=dict(argstr='--axis %d', ),
backgroundValue=dict(argstr='--backgroundValue %d', ),
clippedImageMask=dict(
argstr='--clippedImageMask %s',
hash_files=False,
),
closingSize=dict(argstr='--closingSize %d', ),
debugAfterGridComputationsForegroundImage=dict(
argstr='--debugAfterGridComputationsForegroundImage %s',
hash_files=False,
),
debugClippedImageMask=dict(
argstr='--debugClippedImageMask %s',
hash_files=False,
),
debugDistanceImage=dict(
argstr='--debugDistanceImage %s',
hash_files=False,
),
debugGridImage=dict(
argstr='--debugGridImage %s',
hash_files=False,
),
debugTrimmedImage=dict(
argstr='--debugTrimmedImage %s',
hash_files=False,
),
environ=dict(
nohash=True,
usedefault=True,
),
generateDebugImages=dict(argstr='--generateDebugImages ', ),
headSizeEstimate=dict(argstr='--headSizeEstimate %f', ),
headSizeLimit=dict(argstr='--headSizeLimit %f', ),
ignore_exception=dict(
nohash=True,
usedefault=True,
),
imageMask=dict(argstr='--imageMask %s', ),
inputVolume=dict(argstr='--inputVolume %s', ),
maximize=dict(argstr='--maximize ', ),
otsuPercentileThreshold=dict(argstr='--otsuPercentileThreshold %f', ),
terminal_output=dict(nohash=True, ),
)
inputs = FindCenterOfBrain.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_FindCenterOfBrain_outputs():
output_map = dict(clippedImageMask=dict(),
debugAfterGridComputationsForegroundImage=dict(),
debugClippedImageMask=dict(),
debugDistanceImage=dict(),
debugGridImage=dict(),
debugTrimmedImage=dict(),
)
outputs = FindCenterOfBrain.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_FindCenterOfBrain_outputs():
output_map = dict(
clippedImageMask=dict(),
debugAfterGridComputationsForegroundImage=dict(),
debugClippedImageMask=dict(),
debugDistanceImage=dict(),
debugGridImage=dict(),
debugTrimmedImage=dict(),
)
outputs = FindCenterOfBrain.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
