o h( @sFdZddlZddlmZmZdgZededejdddZdS) z= Algorithm to find a maximal (not maximum) independent set. N)not_implemented_forpy_random_statemaximal_independent_setdirectedcs|s |th}nt|}|st|dtjfdd|D}t||r6t|dt|}t ||}|rc|t|}| || tj ||g|sH|S)a'Returns a random maximal independent set guaranteed to contain a given set of nodes. An independent set is a set of nodes such that the subgraph of G induced by these nodes contains no edges. A maximal independent set is an independent set such that it is not possible to add a new node and still get an independent set. Parameters ---------- G : NetworkX graph nodes : list or iterable Nodes that must be part of the independent set. This set of nodes must be independent. seed : integer, random_state, or None (default) Indicator of random number generation state. See :ref:`Randomness`. Returns ------- indep_nodes : list List of nodes that are part of a maximal independent set. Raises ------ NetworkXUnfeasible If the nodes in the provided list are not part of the graph or do not form an independent set, an exception is raised. NetworkXNotImplemented If `G` is directed. Examples -------- >>> G = nx.path_graph(5) >>> nx.maximal_independent_set(G) # doctest: +SKIP [4, 0, 2] >>> nx.maximal_independent_set(G, [1]) # doctest: +SKIP [1, 3] Notes ----- This algorithm does not solve the maximum independent set problem. z" is not a subset of the nodes of Gcsg|] }tj|qS)setadj).0vGrk/var/www/html/construction_image-detection-poc/venv/lib/python3.10/site-packages/networkx/algorithms/mis.py Esz+maximal_independent_set..z is not an independent set of G) choicelistrissubsetnxNetworkXUnfeasibleunion intersectionnodes differenceappenddifference_updater )r rseed neighbors indep_nodesavailable_nodesnoderr rr s 3   )NN) __doc__networkxrnetworkx.utilsrr__all__ _dispatchablerrrrrs