def test_UKFTractography_outputs():
output_map = dict(tracts=dict(),
tractsWithSecondTensor=dict(),
)
outputs = UKFTractography.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_UKFTractography_inputs():
input_map = dict(Ql=dict(argstr='--Ql %f',
),
Qm=dict(argstr='--Qm %f',
),
Qw=dict(argstr='--Qw %f',
),
Rs=dict(argstr='--Rs %f',
),
args=dict(argstr='%s',
),
dwiFile=dict(argstr='--dwiFile %s',
),
environ=dict(nohash=True,
usedefault=True,
),
freeWater=dict(argstr='--freeWater ',
),
fullTensorModel=dict(argstr='--fullTensorModel ',
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
labels=dict(argstr='--labels %s',
sep=',',
),
maskFile=dict(argstr='--maskFile %s',
),
maxBranchingAngle=dict(argstr='--maxBranchingAngle %f',
),
maxHalfFiberLength=dict(argstr='--maxHalfFiberLength %f',
),
minBranchingAngle=dict(argstr='--minBranchingAngle %f',
),
minFA=dict(argstr='--minFA %f',
),
minGA=dict(argstr='--minGA %f',
),
numTensor=dict(argstr='--numTensor %s',
),
numThreads=dict(argstr='--numThreads %d',
),
recordCovariance=dict(argstr='--recordCovariance ',
),
recordFA=dict(argstr='--recordFA ',
),
recordFreeWater=dict(argstr='--recordFreeWater ',
),
recordLength=dict(argstr='--recordLength %f',
),
recordNMSE=dict(argstr='--recordNMSE ',
),
recordState=dict(argstr='--recordState ',
),
recordTensors=dict(argstr='--recordTensors ',
),
recordTrace=dict(argstr='--recordTrace ',
),
seedFALimit=dict(argstr='--seedFALimit %f',
),
seedsFile=dict(argstr='--seedsFile %s',
),
seedsPerVoxel=dict(argstr='--seedsPerVoxel %d',
),
stepLength=dict(argstr='--stepLength %f',
),
storeGlyphs=dict(argstr='--storeGlyphs ',
),
terminal_output=dict(nohash=True,
),
tracts=dict(argstr='--tracts %s',
hash_files=False,
),
tractsWithSecondTensor=dict(argstr='--tractsWithSecondTensor %s',
hash_files=False,
),
writeAsciiTracts=dict(argstr='--writeAsciiTracts ',
),
writeUncompressedTracts=dict(argstr='--writeUncompressedTracts ',
),
)
inputs = UKFTractography.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
