How to use the persim.gromov_hausdorff function in persim
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scikit-tda / persim / test / test_distances.py View on Github 
def test_isomorphic(self):
A_G = sps.csr_matrix(([1]*6, ([0, 0, 0, 1, 1, 2], [1, 2, 3, 2, 3, 3])), shape=(4, 4))
A_H = sps.csr_matrix(([1]*6, ([0, 0, 0, 1, 1, 2], [1, 2, 3, 2, 3, 3])), shape=(4, 4))
lb, ub = gromov_hausdorff(A_G, A_H)
assert lb == 0
assert ub == 0def test_cliques(self):
A_G = sps.csr_matrix(([1], ([0], [1])), shape=(2, 2))
A_H = sps.csr_matrix(([1]*6, ([0, 0, 0, 1, 1, 2], [1, 2, 3, 2, 3, 3])), shape=(4, 4))
lb, ub = gromov_hausdorff(A_G, A_H)
assert lb == 0.5
assert ub == 0.5def test_single_point(self):
A_G = sps.csr_matrix(([1]*4, ([0, 0, 1, 2], [1, 3, 2, 3])), shape=(4, 4))
A_H = sps.csr_matrix(([], ([], [])), shape=(1, 1))
lb, ub = gromov_hausdorff(A_G, A_H)
assert lb == 1
assert ub == 1def test_same_size(self):
A_G = sps.csr_matrix(([1]*6, ([0, 0, 0, 1, 1, 2], [1, 2, 3, 2, 3, 3])), shape=(4, 4))
A_H = sps.csr_matrix(([1]*4, ([0, 0, 1, 2], [1, 3, 2, 3])), shape=(4, 4))
lb, ub = gromov_hausdorff(A_G, A_H)
assert lb == 0.5
assert ub == 0.5def test_many_graphs(self):
A_G = sps.csr_matrix(([1], ([0], [1])), shape=(2, 2))
A_H = sps.csr_matrix(([1]*6, ([0, 0, 0, 1, 1, 2], [1, 2, 3, 2, 3, 3])), shape=(4, 4))
A_I = sps.csr_matrix(([1]*4, ([0, 0, 1, 2], [1, 3, 2, 3])), shape=(4, 4))
lbs, ubs = gromov_hausdorff([A_G, A_H, A_I])
np.testing.assert_array_equal(lbs, np.array([[0, 0.5, 0.5], [0.5, 0, 0.5], [0.5, 0.5, 0]]))
np.testing.assert_array_equal(ubs, np.array([[0, 0.5, 0.5], [0.5, 0, 0.5], [0.5, 0.5, 0]]))persim
Distances and representations of persistence diagrams
