pep8 tests

Author: rflamary

test/test_bregman.py

@@ -0,0 +1,43 @@
+
+
+import ot
+import numpy as np
+
+# import pytest
+
+
+def test_sinkhorn():
+    # test sinkhorn
+    n = 100
+    np.random.seed(0)
+
+    x = np.random.randn(n, 2)
+    u = ot.utils.unif(n)
+
+    M = ot.dist(x, x)
+
+    G = ot.sinkhorn(u, u, M, 1, stopThr=1e-10)
+
+    # check constratints
+    assert np.allclose(u, G.sum(1), atol=1e-05)  # cf convergence sinkhorn
+    assert np.allclose(u, G.sum(0), atol=1e-05)  # cf convergence sinkhorn
+
+
+def test_sinkhorn_variants():
+    # test sinkhorn
+    n = 100
+    np.random.seed(0)
+
+    x = np.random.randn(n, 2)
+    u = ot.utils.unif(n)
+
+    M = ot.dist(x, x)
+
+    G0 = ot.sinkhorn(u, u, M, 1, method='sinkhorn', stopThr=1e-10)
+    Gs = ot.sinkhorn(u, u, M, 1, method='sinkhorn_stabilized', stopThr=1e-10)
+    Ges = ot.sinkhorn(
+        u, u, M, 1, method='sinkhorn_epsilon_scaling', stopThr=1e-10)
+
+    # check constratints
+    assert np.allclose(G0, Gs, atol=1e-05)
+    assert np.allclose(G0, Ges, atol=1e-05)

test/test_ot.py

@@ -36,7 +36,8 @@ def test_emd_emd2():
 
     # check loss=0
     assert np.allclose(w, 0)
-    
+
+
 def test_emd2_multi():
 
     from ot.datasets import get_1D_gauss as gauss
@@ -72,11 +73,11 @@ def test_emd2_multi():
     emdn = ot.emd2(a, b, M)
     ot.toc('multi proc : {} s')
 
-    assert np.allclose(emd1, emdn)    
-    
-    
+    assert np.allclose(emd1, emdn)
+
+
 def test_sinkhorn():
-    # test sinkhorn 
+    # test sinkhorn
     n = 100
     np.random.seed(0)
 
@@ -85,14 +86,15 @@ def test_sinkhorn():
 
     M = ot.dist(x, x)
 
-    G = ot.sinkhorn(u, u, M,1,stopThr=1e-10)
+    G = ot.sinkhorn(u, u, M, 1, stopThr=1e-10)
 
     # check constratints
-    assert np.allclose(u, G.sum(1), atol=1e-05) # cf convergence sinkhorn
-    assert np.allclose(u, G.sum(0), atol=1e-05) # cf convergence sinkhorn
- 
+    assert np.allclose(u, G.sum(1), atol=1e-05)  # cf convergence sinkhorn
+    assert np.allclose(u, G.sum(0), atol=1e-05)  # cf convergence sinkhorn
+
+
 def test_sinkhorn_variants():
-    # test sinkhorn 
+    # test sinkhorn
     n = 100
     np.random.seed(0)
 
@@ -101,11 +103,11 @@ def test_sinkhorn_variants():
 
     M = ot.dist(x, x)
 
-    G0 = ot.sinkhorn(u, u, M,1, method='sinkhorn',stopThr=1e-10)
-    Gs = ot.sinkhorn(u, u, M,1, method='sinkhorn_stabilized',stopThr=1e-10)
-    Ges = ot.sinkhorn(u, u, M,1, method='sinkhorn_epsilon_scaling',stopThr=1e-10)
+    G0 = ot.sinkhorn(u, u, M, 1, method='sinkhorn', stopThr=1e-10)
+    Gs = ot.sinkhorn(u, u, M, 1, method='sinkhorn_stabilized', stopThr=1e-10)
+    Ges = ot.sinkhorn(
+        u, u, M, 1, method='sinkhorn_epsilon_scaling', stopThr=1e-10)
 
     # check constratints
-    assert np.allclose(G0, Gs, atol=1e-05) 
-    assert np.allclose(G0, Ges, atol=1e-05) #
-
+    assert np.allclose(G0, Gs, atol=1e-05)
+    assert np.allclose(G0, Ges, atol=1e-05)