def rdflib_to_networkx_graph(
        graph,
        calc_weights=True,
        edge_attrs=lambda s, p, o: {'triples': [(s, p, o)]},
        **kwds):
    import networkx as nx
    g = nx.Graph()
    _rdflib_to_networkx_graph(graph, g, calc_weights, edge_attrs, **kwds)
    return g
Linearly Constrained Minimum Variance (LCMV) beamformer.
dataset/ETHPy150Open RDFLib/rdflib/rdflib/extras/external_graph_libs.py/rdflib_to_networkx_graph--crossover with--dataset/ETHPy150Open mne-tools/mne-python/mne/beamformer/_lcmv.py/lcmv_raw