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