Ejemplo n.º 1
0
def test_ODFRecon_inputs():
    input_map = dict(
        DWI=dict(
            argstr='%s',
            mandatory=True,
            position=1,
        ),
        args=dict(argstr='%s', ),
        dsi=dict(argstr='-dsi', ),
        environ=dict(
            nohash=True,
            usedefault=True,
        ),
        filter=dict(argstr='-f', ),
        ignore_exception=dict(
            nohash=True,
            usedefault=True,
        ),
        image_orientation_vectors=dict(argstr='-iop %f', ),
        matrix=dict(
            argstr='-mat %s',
            mandatory=True,
        ),
        n_b0=dict(
            argstr='-b0 %s',
            mandatory=True,
        ),
        n_directions=dict(
            argstr='%s',
            mandatory=True,
            position=2,
        ),
        n_output_directions=dict(
            argstr='%s',
            mandatory=True,
            position=3,
        ),
        oblique_correction=dict(argstr='-oc', ),
        out_prefix=dict(
            argstr='%s',
            position=4,
            usedefault=True,
        ),
        output_entropy=dict(argstr='-oe', ),
        output_type=dict(
            argstr='-ot %s',
            usedefault=True,
        ),
        sharpness=dict(argstr='-s %f', ),
        subtract_background=dict(argstr='-bg', ),
        terminal_output=dict(
            mandatory=True,
            nohash=True,
        ),
    )
    inputs = ODFRecon.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
Ejemplo n.º 2
0
def test_ODFRecon_inputs():
    input_map = dict(DWI=dict(argstr='%s',
    mandatory=True,
    position=1,
    ),
    args=dict(argstr='%s',
    ),
    dsi=dict(argstr='-dsi',
    ),
    environ=dict(nohash=True,
    usedefault=True,
    ),
    filter=dict(argstr='-f',
    ),
    ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    image_orientation_vectors=dict(argstr='-iop %f',
    ),
    matrix=dict(argstr='-mat %s',
    mandatory=True,
    ),
    n_b0=dict(argstr='-b0 %s',
    mandatory=True,
    ),
    n_directions=dict(argstr='%s',
    mandatory=True,
    position=2,
    ),
    n_output_directions=dict(argstr='%s',
    mandatory=True,
    position=3,
    ),
    oblique_correction=dict(argstr='-oc',
    ),
    out_prefix=dict(argstr='%s',
    position=4,
    usedefault=True,
    ),
    output_entropy=dict(argstr='-oe',
    ),
    output_type=dict(argstr='-ot %s',
    usedefault=True,
    ),
    sharpness=dict(argstr='-s %f',
    ),
    subtract_background=dict(argstr='-bg',
    ),
    terminal_output=dict(mandatory=True,
    nohash=True,
    ),
    )
    inputs = ODFRecon.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
Ejemplo n.º 3
0
def test_ODFRecon_outputs():
    output_map = dict(B0=dict(),
    DWI=dict(),
    ODF=dict(),
    entropy=dict(),
    max=dict(),
    )
    outputs = ODFRecon.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
Ejemplo n.º 4
0
def test_ODFRecon_outputs():
    output_map = dict(
        B0=dict(),
        DWI=dict(),
        ODF=dict(),
        entropy=dict(),
        max=dict(),
    )
    outputs = ODFRecon.output_spec()

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