Open andsor opened 8 years ago
import networkx as nx import simkernel as simk def compute_average_clustering(n, p, graph): return nx.average_clustering(graph) def generate_graph(n, p, seeds): for seed in seeds: yield nx.gnp_random_graph(n, p, seed) xp = simk.Experiment( compute_average_clustering ).inputgen( graph=generate_graph ).aggregate( 'seeds', simk.mean ) res = xp( n=[10, 100, 1000], p=[0.1, 0.2, 0.3, 0.4, 0.5], seeds=range(1000), ) np.testing.assert_array_equal(np.shape(res), (3, 5))