diff options
Diffstat (limited to 'test/test_optim.py')
| -rw-r--r-- | test/test_optim.py | 32 |
1 files changed, 15 insertions, 17 deletions
diff --git a/test/test_optim.py b/test/test_optim.py index a77a37c..2840cad 100644 --- a/test/test_optim.py +++ b/test/test_optim.py @@ -1,24 +1,22 @@ - -import ot import numpy as np +import ot -# import pytest def test_conditional_gradient(): - n = 100 # nb bins + n_bins = 100 # nb bins np.random.seed(0) # bin positions - x = np.arange(n, dtype=np.float64) + x = np.arange(n_bins, dtype=np.float64) # Gaussian distributions - a = ot.datasets.get_1D_gauss(n, m=20, s=5) # m= mean, s= std - b = ot.datasets.get_1D_gauss(n, m=60, s=10) + a = ot.datasets.get_1D_gauss(n_bins, m=20, s=5) # m= mean, s= std + b = ot.datasets.get_1D_gauss(n_bins, m=60, s=10) # loss matrix - M = ot.dist(x.reshape((n, 1)), x.reshape((n, 1))) + M = ot.dist(x.reshape((n_bins, 1)), x.reshape((n_bins, 1))) M /= M.max() def f(G): @@ -31,23 +29,23 @@ def test_conditional_gradient(): G, log = ot.optim.cg(a, b, M, reg, f, df, verbose=True, log=True) - assert np.allclose(a, G.sum(1)) - assert np.allclose(b, G.sum(0)) + np.testing.assert_allclose(a, G.sum(1)) + np.testing.assert_allclose(b, G.sum(0)) def test_generalized_conditional_gradient(): - n = 100 # nb bins + n_bins = 100 # nb bins np.random.seed(0) # bin positions - x = np.arange(n, dtype=np.float64) + x = np.arange(n_bins, dtype=np.float64) # Gaussian distributions - a = ot.datasets.get_1D_gauss(n, m=20, s=5) # m= mean, s= std - b = ot.datasets.get_1D_gauss(n, m=60, s=10) + a = ot.datasets.get_1D_gauss(n_bins, m=20, s=5) # m= mean, s= std + b = ot.datasets.get_1D_gauss(n_bins, m=60, s=10) # loss matrix - M = ot.dist(x.reshape((n, 1)), x.reshape((n, 1))) + M = ot.dist(x.reshape((n_bins, 1)), x.reshape((n_bins, 1))) M /= M.max() def f(G): @@ -61,5 +59,5 @@ def test_generalized_conditional_gradient(): G, log = ot.optim.gcg(a, b, M, reg1, reg2, f, df, verbose=True, log=True) - assert np.allclose(a, G.sum(1), atol=1e-05) - assert np.allclose(b, G.sum(0), atol=1e-05) + np.testing.assert_allclose(a, G.sum(1), atol=1e-05) + np.testing.assert_allclose(b, G.sum(0), atol=1e-05) |