+ j~Rt^RIt^RIt^RIHt^tR Rlt]!^4R Rl4tRt Rt Rt Rt R t R tR tR#) z4Unit tests for the sparsifier computation functions.N)py_random_statec\VP44\VP448XgQhVP4FYwrEVPWE4'gQhV'gK(W,V,V,W,V,V,8XdKYQh \ \ P !WR74p\ \ P !WR74pVP4F[pVP4FDpWF9gK WVV,9gKWt,V,W&V,V,,8:dKDQh K] R#)aTest whether a spanner is valid. This function tests whether the given spanner is a subgraph of the given graph G with the same node set. It also tests for all shortest paths whether they adhere to the given stretch. Parameters ---------- G : NetworkX graph The original graph for which the spanner was constructed. spanner : NetworkX graph The spanner to be tested. stretch : float The proclaimed stretch of the spanner. weight : object The edge attribute to use as distance. weightN)setnodesedgeshas_edgedictnxshortest_path_length)Gspannerstretchruvoriginal_lengthspanner_lengths&&&& k/home/luca/screen-checking/.venv/lib/python3.14/site-packages/networkx/algorithms/tests/test_sparsifiers.py _test_spannerr s, qwwy>S1 11 1 zz! 6:a=(ADGFO; ;; 2221DEO"11'IJN WWYA#Q-?(?%(+w9KA9N/NNNNcxVP4F%wr#VP4W,V,R&K' R#)a"Assigns random weights to the edges of a graph. Parameters ---------- G : NetworkX graph The original graph for which the spanner was constructed. seed : integer, random_state, or None (default) Indicator of random number generation state. See :ref:`Randomness`. rN)rrandom)r seedrrs&& r_assign_random_weightsr2s,  KKMQrc\P!^4p\P!V^\R7pVPFwr#VP W#4'dKQh R#)z&Test a trivial spanner with stretch 1.rN)r complete_graphr_seedrr )r rrrs rtest_spanner_trivialrDsK "AjjAE*G%%%%rc\P!^4p\P!V^\R7p\ W^4\P!V^ \R7p\ W^ 4R#)z9Test spanner construction on a complete unweighted graph.rN)r rrrrr rs r&test_spanner_unweighted_complete_graphr"MsJ "AjjAE*G!a jjBU+G!b!rc\P!^4p\V\R7\P!V^R\R7p\ W^RR7\P!V^ R\R7p\ W^ RR7R#)z7Test spanner construction on a complete weighted graph.rrrrrN)r rrrrrr!s r$test_spanner_weighted_complete_graphr%Xs\ "A15)jjAhU;G!a1jjBxer9sY: * $ON**"&" 3" 3"r