def test_NetworkXMetrics_inputs():
input_map = dict(compute_clique_related_measures=dict(usedefault=True,
),
ignore_exception=dict(nohash=True,
usedefault=True,
),
in_file=dict(mandatory=True,
),
out_edge_metrics_matlab=dict(genfile=True,
),
out_global_metrics_matlab=dict(genfile=True,
),
out_k_core=dict(usedefault=True,
),
out_k_crust=dict(usedefault=True,
),
out_k_shell=dict(usedefault=True,
),
out_node_metrics_matlab=dict(genfile=True,
),
out_pickled_extra_measures=dict(usedefault=True,
),
treat_as_weighted_graph=dict(usedefault=True,
),
)
inputs = NetworkXMetrics.input_spec()
for key, metadata in input_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(inputs.traits()[key], metakey), value
def test_NetworkXMetrics_outputs():
output_map = dict(edge_measure_networks=dict(),
edge_measures_matlab=dict(),
global_measures_matlab=dict(),
gpickled_network_files=dict(),
k_core=dict(),
k_crust=dict(),
k_networks=dict(),
k_shell=dict(),
matlab_dict_measures=dict(),
matlab_matrix_files=dict(),
node_measure_networks=dict(),
node_measures_matlab=dict(),
pickled_extra_measures=dict(),
)
outputs = NetworkXMetrics.output_spec()
for key, metadata in output_map.items():
for metakey, value in metadata.items():
yield assert_equal, getattr(outputs.traits()[key], metakey), value
