\MhdZddlZddlZddlmZdgZedejddZdS) z;Function for computing the moral graph of a directed graph.N)not_implemented_for moral_graph undirectedT) returns_graphc|}|jD]-}tj|d}||.|S)aReturn the Moral Graph Returns the moralized graph of a given directed graph. Parameters ---------- G : NetworkX graph Directed graph Returns ------- H : NetworkX graph The undirected moralized graph of G Raises ------ NetworkXNotImplemented If `G` is undirected. Examples -------- >>> G = nx.DiGraph([(1, 2), (2, 3), (2, 5), (3, 4), (4, 3)]) >>> G_moral = nx.moral_graph(G) >>> G_moral.edges() EdgeView([(1, 2), (2, 3), (2, 5), (2, 4), (3, 4)]) Notes ----- A moral graph is an undirected graph H = (V, E) generated from a directed Graph, where if a node has more than one parent node, edges between these parent nodes are inserted and all directed edges become undirected. https://en.wikipedia.org/wiki/Moral_graph References ---------- .. [1] Wray L. Buntine. 1995. Chain graphs for learning. In Proceedings of the Eleventh conference on Uncertainty in artificial intelligence (UAI'95) )r) to_undirectedpredvalues itertools combinationsadd_edges_from)GHpredspredecessors_combinationss Y/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/networkx/algorithms/moral.pyrr s`X A44$-$:5A$F$F$F! 23333 H) __doc__r networkxnxnetworkx.utilsr__all__ _dispatchablerrrrsBB...... /\""%%%. . &%#". . . r