test_ot random state

Author: rflamary

test/test_ot.py

@@ -18,55 +18,54 @@ def test_doctest():
 def test_emd_emd2():
     # test emd and emd2 for simple identity
     n = 100
-    np.random.seed(0)
+    rng = np.random.RandomState(0)
 
-    x = np.random.randn(n, 2)
+    x = rng.randn(n, 2)
     u = ot.utils.unif(n)
 
     M = ot.dist(x, x)
 
     G = ot.emd(u, u, M)
 
     # check G is identity
-    assert np.allclose(G, np.eye(n) / n)
+    np.testing.assert_allclose(G, np.eye(n) / n)
     # check constratints
-    assert np.allclose(u, G.sum(1))  # cf convergence sinkhorn
-    assert np.allclose(u, G.sum(0))  # cf convergence sinkhorn
+    np.testing.assert_allclose(u, G.sum(1))  # cf convergence sinkhorn
+    np.testing.assert_allclose(u, G.sum(0))  # cf convergence sinkhorn
 
     w = ot.emd2(u, u, M)
     # check loss=0
-    assert np.allclose(w, 0)
+    np.testing.assert_allclose(w, 0)
 
 
 def test_emd_empty():
     # test emd and emd2 for simple identity
     n = 100
-    np.random.seed(0)
+    rng = np.random.RandomState(0)
 
-    x = np.random.randn(n, 2)
+    x = rng.randn(n, 2)
     u = ot.utils.unif(n)
 
     M = ot.dist(x, x)
 
     G = ot.emd([], [], M)
 
     # check G is identity
-    assert np.allclose(G, np.eye(n) / n)
+    np.testing.assert_allclose(G, np.eye(n) / n)
     # check constratints
-    assert np.allclose(u, G.sum(1))  # cf convergence sinkhorn
-    assert np.allclose(u, G.sum(0))  # cf convergence sinkhorn
+    np.testing.assert_allclose(u, G.sum(1))  # cf convergence sinkhorn
+    np.testing.assert_allclose(u, G.sum(0))  # cf convergence sinkhorn
 
     w = ot.emd2([], [], M)
     # check loss=0
-    assert np.allclose(w, 0)
+    np.testing.assert_allclose(w, 0)
 
 
 def test_emd2_multi():
 
     from ot.datasets import get_1D_gauss as gauss
 
     n = 1000  # nb bins
-    np.random.seed(0)
 
     # bin positions
     x = np.arange(n, dtype=np.float64)
@@ -96,4 +95,4 @@ def test_emd2_multi():
     emdn = ot.emd2(a, b, M)
     ot.toc('multi proc : {} s')
 
-    assert np.allclose(emd1, emdn)
+    np.testing.assert_allclose(emd1, emdn)