diff options
Diffstat (limited to 'networkx/algorithms/centrality/tests/test_current_flow_closeness.py')
-rw-r--r-- | networkx/algorithms/centrality/tests/test_current_flow_closeness.py | 7 |
1 files changed, 3 insertions, 4 deletions
diff --git a/networkx/algorithms/centrality/tests/test_current_flow_closeness.py b/networkx/algorithms/centrality/tests/test_current_flow_closeness.py index c2fa4ec0..24a916a4 100644 --- a/networkx/algorithms/centrality/tests/test_current_flow_closeness.py +++ b/networkx/algorithms/centrality/tests/test_current_flow_closeness.py @@ -4,7 +4,6 @@ pytest.importorskip("numpy") pytest.importorskip("scipy") import networkx as nx -from networkx.testing import almost_equal class TestFlowClosenessCentrality: @@ -14,7 +13,7 @@ class TestFlowClosenessCentrality: b = nx.current_flow_closeness_centrality(G) b_answer = {0: 2.0 / 3, 1: 2.0 / 3, 2: 2.0 / 3, 3: 2.0 / 3} for n in sorted(G): - assert almost_equal(b[n], b_answer[n]) + assert b[n] == pytest.approx(b_answer[n], abs=1e-7) def test_P4(self): """Closeness centrality: P4""" @@ -22,7 +21,7 @@ class TestFlowClosenessCentrality: b = nx.current_flow_closeness_centrality(G) b_answer = {0: 1.0 / 6, 1: 1.0 / 4, 2: 1.0 / 4, 3: 1.0 / 6} for n in sorted(G): - assert almost_equal(b[n], b_answer[n]) + assert b[n] == pytest.approx(b_answer[n], abs=1e-7) def test_star(self): """Closeness centrality: star""" @@ -31,7 +30,7 @@ class TestFlowClosenessCentrality: b = nx.current_flow_closeness_centrality(G) b_answer = {"a": 1.0 / 3, "b": 0.6 / 3, "c": 0.6 / 3, "d": 0.6 / 3} for n in sorted(G): - assert almost_equal(b[n], b_answer[n]) + assert b[n] == pytest.approx(b_answer[n], abs=1e-7) class TestWeightedFlowClosenessCentrality: |