def test_AverageNetworks_outputs():
    output_map = dict(matlab_groupavgs=dict(),
    gexf_groupavg=dict(),
    gpickled_groupavg=dict(),
    )
    outputs = AverageNetworks.output_spec()

    for key, metadata in output_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(outputs.traits()[key], metakey), value
Beispiel #2
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def test_AverageNetworks_outputs():
    output_map = dict(
        gexf_groupavg=dict(),
        gpickled_groupavg=dict(),
        matlab_groupavgs=dict(),
    )
    outputs = AverageNetworks.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_AverageNetworks_inputs():
    input_map = dict(ignore_exception=dict(nohash=True,
    usedefault=True,
    ),
    resolution_network_file=dict(),
    out_gexf_groupavg=dict(),
    in_files=dict(mandatory=True,
    ),
    out_gpickled_groupavg=dict(),
    group_id=dict(usedefault=True,
    ),
    )
    inputs = AverageNetworks.input_spec()

    for key, metadata in input_map.items():
        for metakey, value in metadata.items():
            yield assert_equal, getattr(inputs.traits()[key], metakey), value
Beispiel #4
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def test_AverageNetworks_inputs():
    input_map = dict(
        group_id=dict(usedefault=True, ),
        ignore_exception=dict(
            nohash=True,
            usedefault=True,
        ),
        in_files=dict(mandatory=True, ),
        out_gexf_groupavg=dict(),
        out_gpickled_groupavg=dict(),
        resolution_network_file=dict(),
    )
    inputs = AverageNetworks.input_spec()

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