+ jbRt^RIt^RIHtHtR.t]!R4]PR44tR#)zSemiconnectedness.N)not_implemented_forpairwiseis_semiconnected undirectedca\V4^8Xd\P!R4h\P!V4'gR#\P!V4o\ ;QJd<V3Rl\ \P!S444F 'dK R# R#!V3Rl\ \P!S4444#)a=Returns True if the graph is semiconnected, False otherwise. A graph is semiconnected if and only if for any pair of nodes, either one is reachable from the other, or they are mutually reachable. This function uses a theorem that states that a DAG is semiconnected if for any topological sort, for node $v_n$ in that sort, there is an edge $(v_i, v_{i+1})$. That allows us to check if a non-DAG `G` is semiconnected by condensing the graph: i.e. constructing a new graph `H` with nodes being the strongly connected components of `G`, and edges (scc_1, scc_2) if there is a edge $(v_1, v_2)$ in `G` for some $v_1 \in scc_1$ and $v_2 \in scc_2$. That results in a DAG, so we compute the topological sort of `H` and check if for every $n$ there is an edge $(scc_n, scc_{n+1})$. Parameters ---------- G : NetworkX graph A directed graph. Returns ------- semiconnected : bool True if the graph is semiconnected, False otherwise. Raises ------ NetworkXNotImplemented If the input graph is undirected. NetworkXPointlessConcept If the graph is empty. Examples -------- >>> G = nx.path_graph(4, create_using=nx.DiGraph()) >>> print(nx.is_semiconnected(G)) True >>> G = nx.DiGraph([(1, 2), (3, 2)]) >>> print(nx.is_semiconnected(G)) False See Also -------- is_strongly_connected is_weakly_connected is_connected is_biconnected z-Connectivity is undefined for the null graph.Fc3J<"TFwrSPW4xK R#5i)N)has_edge).0uvHs& m/home/luca/screen-checking/.venv/lib/python3.14/site-packages/networkx/algorithms/components/semiconnected.py #is_semiconnected..Gs!M,LDAqzz!,Ls #T)lennxNetworkXPointlessConceptis_weakly_connected condensationallrtopological_sort)Gr s&@r rr sh 1v{)) ;    ! !! $ $ A 3MHR5H5H5K,LM33M3M3MHR5H5H5K,LM MM) __doc__networkxrnetworkx.utilsrr__all__ _dispatchablerrr rs?8  \"<N#<Nr