ó žÃÒYc@sZdZddlTddlTddlTddlTddlTddlTddlTddlTdS(sÉFunctions for computing and measuring community structure. The functions in this class are not imported into the top-level :mod:`networkx` namespace. You can access these functions by importing the :mod:`networkx.algorithms.community` module, then accessing the functions as attributes of ``community``. For example:: >>> import networkx as nx >>> from networkx.algorithms import community >>> G = nx.barbell_graph(5, 1) >>> communities_generator = community.girvan_newman(G) >>> top_level_communities = next(communities_generator) >>> next_level_communities = next(communities_generator) >>> sorted(map(sorted, next_level_communities)) [[0, 1, 2, 3, 4], [5], [6, 7, 8, 9, 10]] iÿÿÿÿ(t*N( t__doc__t&networkx.algorithms.community.asyn_lpat)networkx.algorithms.community.asyn_fluidct(networkx.algorithms.community.centralityt2networkx.algorithms.community.community_generatorst%networkx.algorithms.community.kcliquet+networkx.algorithms.community.kernighan_lint%networkx.algorithms.community.qualityt-networkx.algorithms.community.community_utils(((s|/private/var/folders/w6/vb91730s7bb1k90y_rnhql1dhvdd44/T/pip-build-w4MwvS/networkx/networkx/algorithms/community/__init__.pyts