diff options
Diffstat (limited to 'networkx/algorithms/centrality/tests/test_trophic.py')
| -rw-r--r-- | networkx/algorithms/centrality/tests/test_trophic.py | 39 |
1 files changed, 19 insertions, 20 deletions
diff --git a/networkx/algorithms/centrality/tests/test_trophic.py b/networkx/algorithms/centrality/tests/test_trophic.py index 18e2d74a..f1d68131 100644 --- a/networkx/algorithms/centrality/tests/test_trophic.py +++ b/networkx/algorithms/centrality/tests/test_trophic.py @@ -6,7 +6,6 @@ np = pytest.importorskip("numpy") pytest.importorskip("scipy") import networkx as nx -from networkx.testing import almost_equal def test_trophic_levels(): @@ -74,15 +73,15 @@ def test_trophic_levels_levine(): for nid, level in d.items(): expected_level = expected_d[nid] - assert almost_equal(expected_level, level) + assert expected_level == pytest.approx(level, abs=1e-7) def test_trophic_levels_simple(): matrix_a = np.array([[0, 0], [1, 0]]) G = nx.from_numpy_array(matrix_a, create_using=nx.DiGraph) d = nx.trophic_levels(G) - assert almost_equal(d[0], 2) - assert almost_equal(d[1], 1) + assert d[0] == pytest.approx(2, abs=1e-7) + assert d[1] == pytest.approx(1, abs=1e-7) def test_trophic_levels_more_complex(): @@ -98,7 +97,7 @@ def test_trophic_levels_more_complex(): d = nx.trophic_levels(G) expected_result = [1, 2, 3, 4] for ind in range(4): - assert almost_equal(d[ind], expected_result[ind]) + assert d[ind] == pytest.approx(expected_result[ind], abs=1e-7) # fmt: off matrix = np.array([ @@ -116,7 +115,7 @@ def test_trophic_levels_more_complex(): print("Expected Result: ", expected_result) for ind in range(4): - assert almost_equal(d[ind], expected_result[ind]) + assert d[ind] == pytest.approx(expected_result[ind], abs=1e-7) def test_trophic_levels_even_more_complex(): @@ -143,7 +142,7 @@ def test_trophic_levels_even_more_complex(): result_2 = nx.trophic_levels(G) for ind in range(5): - assert almost_equal(result_1[ind], result_2[ind]) + assert result_1[ind] == pytest.approx(result_2[ind], abs=1e-7) def test_trophic_levels_singular_matrix(): @@ -204,7 +203,7 @@ def test_trophic_differences(): matrix_a = np.array([[0, 1], [0, 0]]) G = nx.from_numpy_array(matrix_a, create_using=nx.DiGraph) diffs = nx.trophic_differences(G) - assert almost_equal(diffs[(0, 1)], 1) + assert diffs[(0, 1)] == pytest.approx(1, abs=1e-7) # fmt: off matrix_b = np.array([ @@ -217,18 +216,18 @@ def test_trophic_differences(): G = nx.from_numpy_array(matrix_b, create_using=nx.DiGraph) diffs = nx.trophic_differences(G) - assert almost_equal(diffs[(0, 1)], 1) - assert almost_equal(diffs[(0, 2)], 1.5) - assert almost_equal(diffs[(1, 2)], 0.5) - assert almost_equal(diffs[(1, 3)], 1.25) - assert almost_equal(diffs[(2, 3)], 0.75) + assert diffs[(0, 1)] == pytest.approx(1, abs=1e-7) + assert diffs[(0, 2)] == pytest.approx(1.5, abs=1e-7) + assert diffs[(1, 2)] == pytest.approx(0.5, abs=1e-7) + assert diffs[(1, 3)] == pytest.approx(1.25, abs=1e-7) + assert diffs[(2, 3)] == pytest.approx(0.75, abs=1e-7) def test_trophic_incoherence_parameter_no_cannibalism(): matrix_a = np.array([[0, 1], [0, 0]]) G = nx.from_numpy_array(matrix_a, create_using=nx.DiGraph) q = nx.trophic_incoherence_parameter(G, cannibalism=False) - assert almost_equal(q, 0) + assert q == pytest.approx(0, abs=1e-7) # fmt: off matrix_b = np.array([ @@ -240,7 +239,7 @@ def test_trophic_incoherence_parameter_no_cannibalism(): # fmt: on G = nx.from_numpy_array(matrix_b, create_using=nx.DiGraph) q = nx.trophic_incoherence_parameter(G, cannibalism=False) - assert almost_equal(q, np.std([1, 1.5, 0.5, 0.75, 1.25])) + assert q == pytest.approx(np.std([1, 1.5, 0.5, 0.75, 1.25]), abs=1e-7) # fmt: off matrix_c = np.array([ @@ -253,7 +252,7 @@ def test_trophic_incoherence_parameter_no_cannibalism(): G = nx.from_numpy_array(matrix_c, create_using=nx.DiGraph) q = nx.trophic_incoherence_parameter(G, cannibalism=False) # Ignore the -link - assert almost_equal(q, np.std([1, 1.5, 0.5, 0.75, 1.25])) + assert q == pytest.approx(np.std([1, 1.5, 0.5, 0.75, 1.25]), abs=1e-7) # no self-loops case # fmt: off @@ -267,14 +266,14 @@ def test_trophic_incoherence_parameter_no_cannibalism(): G = nx.from_numpy_array(matrix_d, create_using=nx.DiGraph) q = nx.trophic_incoherence_parameter(G, cannibalism=False) # Ignore the -link - assert almost_equal(q, np.std([1, 1.5, 0.5, 0.75, 1.25])) + assert q == pytest.approx(np.std([1, 1.5, 0.5, 0.75, 1.25]), abs=1e-7) def test_trophic_incoherence_parameter_cannibalism(): matrix_a = np.array([[0, 1], [0, 0]]) G = nx.from_numpy_array(matrix_a, create_using=nx.DiGraph) q = nx.trophic_incoherence_parameter(G, cannibalism=True) - assert almost_equal(q, 0) + assert q == pytest.approx(0, abs=1e-7) # fmt: off matrix_b = np.array([ @@ -287,7 +286,7 @@ def test_trophic_incoherence_parameter_cannibalism(): # fmt: on G = nx.from_numpy_array(matrix_b, create_using=nx.DiGraph) q = nx.trophic_incoherence_parameter(G, cannibalism=True) - assert almost_equal(q, 2) + assert q == pytest.approx(2, abs=1e-7) # fmt: off matrix_c = np.array([ @@ -300,4 +299,4 @@ def test_trophic_incoherence_parameter_cannibalism(): G = nx.from_numpy_array(matrix_c, create_using=nx.DiGraph) q = nx.trophic_incoherence_parameter(G, cannibalism=True) # Ignore the -link - assert almost_equal(q, np.std([1, 1.5, 0.5, 0.75, 1.25])) + assert q == pytest.approx(np.std([1, 1.5, 0.5, 0.75, 1.25]), abs=1e-7) |