updated README and fixed pep8

Author: Kilian Fatras

test/test_stochastic.py

@@ -193,17 +193,14 @@ def test_dual_sgd_sinkhorn():
 
 # Test gaussian
     n = 30
-    n_source = n
-    n_target = n
     reg = 1
-    numItermax = 150000
     batch_size = 30
 
-    a = ot.datasets.get_1D_gauss(n_source, m=15, s=5)  # m= mean, s= std
-    b = ot.datasets.get_1D_gauss(n_target, m=15, s=5)
-    X_source = np.arange(n_source,dtype=np.float64)
-    Y_target = np.arange(n_target,dtype=np.float64)
-    M = ot.dist(X_source.reshape((n_source, 1)), Y_target.reshape((n_target, 1)))
+    a = ot.datasets.get_1D_gauss(n, m=15, s=5)  # m= mean, s= std
+    b = ot.datasets.get_1D_gauss(n, m=15, s=5)
+    X_source = np.arange(n, dtype=np.float64)
+    Y_target = np.arange(n, dtype=np.float64)
+    M = ot.dist(X_source.reshape((n, 1)), Y_target.reshape((n, 1)))
     M /= M.max()
 
     G_sgd = ot.stochastic.solve_dual_entropic(a, b, M, reg, batch_size,