test_graphpca.py 文件源码

def test_returns_plausible_results(self):
        g = nx.erdos_renyi_graph(100, 0.3)
        g_5 = graphpca.reduce_graph_efficiently(g, 5)
        self.assertEqual(len(g_5), 5)
        self.assertEqual(len(g_5[0]), 100)
        for i in range(5):
            max_val = max(abs(g_5[i]))
            self.assertGreater(max_val, 0.01)