Пример #1
0
def test_AutoTcorrelate_outputs():
    output_map = dict(out_file=dict(), )
    outputs = AutoTcorrelate.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
Пример #2
0
def test_AutoTcorrelate_outputs():
    output_map = dict(out_file=dict(),
    )
    outputs = AutoTcorrelate.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
Пример #3
0
def test_AutoTcorrelate_inputs():
    input_map = dict(
        args=dict(argstr='%s', ),
        environ=dict(
            nohash=True,
            usedefault=True,
        ),
        eta2=dict(argstr='-eta2', ),
        ignore_exception=dict(
            nohash=True,
            usedefault=True,
        ),
        in_file=dict(
            argstr='%s',
            copyfile=False,
            mandatory=True,
            position=-1,
        ),
        mask=dict(argstr='-mask %s', ),
        mask_only_targets=dict(
            argstr='-mask_only_targets',
            xor=['mask_source'],
        ),
        mask_source=dict(
            argstr='-mask_source %s',
            xor=['mask_only_targets'],
        ),
        out_file=dict(
            argstr='-prefix %s',
            name_source='in_file',
            name_template='%s_similarity_matrix.1D',
        ),
        outputtype=dict(),
        polort=dict(argstr='-polort %d', ),
        terminal_output=dict(nohash=True, ),
    )
    inputs = AutoTcorrelate.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
Пример #4
0
def test_AutoTcorrelate_inputs():
    input_map = dict(polort=dict(argstr='-polort %d',
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    mask_only_targets=dict(xor=['mask_source'],
    argstr='-mask_only_targets',
    ),
    out_file=dict(name_source='in_file',
    name_template='%s_similarity_matrix.1D',
    argstr='-prefix %s',
    ),
    eta2=dict(argstr='-eta2',
    ),
    args=dict(argstr='%s',
    ),
    mask=dict(argstr='-mask %s',
    ),
    outputtype=dict(),
    mask_source=dict(xor=['mask_only_targets'],
    argstr='-mask_source %s',
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    in_file=dict(copyfile=False,
    mandatory=True,
    position=-1,
    argstr='%s',
    ),
    terminal_output=dict(mandatory=True,
    nohash=True,
    ),
    )
    inputs = AutoTcorrelate.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value