from __future__ import division, print_function, absolute_import import numpy as np from numpy.testing import assert_array_almost_equal from scipy.sparse.csgraph import breadth_first_tree, depth_first_tree,\ csgraph_to_dense, csgraph_from_dense def test_graph_breadth_first(): csgraph = np.array([[0, 1, 2, 0, 0], [1, 0, 0, 0, 3], [2, 0, 0, 7, 0], [0, 0, 7, 0, 1], [0, 3, 0, 1, 0]]) csgraph = csgraph_from_dense(csgraph, null_value=0) bfirst = np.array([[0, 1, 2, 0, 0], [0, 0, 0, 0, 3], [0, 0, 0, 7, 0], [0, 0, 0, 0, 0], [0, 0, 0, 0, 0]]) for directed in [True, False]: bfirst_test = breadth_first_tree(csgraph, 0, directed) assert_array_almost_equal(csgraph_to_dense(bfirst_test), bfirst) def test_graph_depth_first(): csgraph = np.array([[0, 1, 2, 0, 0], [1, 0, 0, 0, 3], [2, 0, 0, 7, 0], [0, 0, 7, 0, 1], [0, 3, 0, 1, 0]]) csgraph = csgraph_from_dense(csgraph, null_value=0) dfirst = np.array([[0, 1, 0, 0, 0], [0, 0, 0, 0, 3], [0, 0, 0, 0, 0], [0, 0, 7, 0, 0], [0, 0, 0, 1, 0]]) for directed in [True, False]: dfirst_test = depth_first_tree(csgraph, 0, directed) assert_array_almost_equal(csgraph_to_dense(dfirst_test), dfirst) def test_graph_breadth_first_trivial_graph(): csgraph = np.array([[0]]) csgraph = csgraph_from_dense(csgraph, null_value=0) bfirst = np.array([[0]]) for directed in [True, False]: bfirst_test = breadth_first_tree(csgraph, 0, directed) assert_array_almost_equal(csgraph_to_dense(bfirst_test), bfirst) def test_graph_depth_first_trivial_graph(): csgraph = np.array([[0]]) csgraph = csgraph_from_dense(csgraph, null_value=0) bfirst = np.array([[0]]) for directed in [True, False]: bfirst_test = depth_first_tree(csgraph, 0, directed) assert_array_almost_equal(csgraph_to_dense(bfirst_test), bfirst)