pep8

Author: Nathan Cassereau

ot/gromov.py

@@ -1581,7 +1581,7 @@ def gromov_barycenters(N, Cs, ps, p, lambdas, loss_fun,
 
     error = []
 
-    while(err > tol and cpt < max_iter):
+    while (err > tol and cpt < max_iter):
         Cprev = C
 
         T = [gromov_wasserstein(Cs[s], C, ps[s], p, loss_fun,
@@ -1725,7 +1725,7 @@ def fgw_barycenters(N, Ys, Cs, ps, lambdas, alpha, fixed_structure=False, fixed_
         log_['err_structure'] = []
         log_['Ts_iter'] = []
 
-    while((err_feature > tol or err_structure > tol) and cpt < max_iter):
+    while ((err_feature > tol or err_structure > tol) and cpt < max_iter):
         Cprev = C
         Xprev = X
 

ot/lp/cvx.py

@@ -80,7 +80,7 @@ def barycenter(A, M, weights=None, verbose=False, log=False, solver='interior-po
     if weights is None:
         weights = np.ones(A.shape[1]) / A.shape[1]
     else:
-        assert(len(weights) == A.shape[1])
+        assert len(weights) == A.shape[1]
 
     n_distributions = A.shape[1]
     n = A.shape[0]

ot/unbalanced.py

@@ -734,7 +734,7 @@ def barycenter_unbalanced_stabilized(A, M, reg, reg_m, weights=None, tau=1e3,
     if weights is None:
         weights = nx.ones(n_hists, type_as=A) / n_hists
     else:
-        assert(len(weights) == A.shape[1])
+        assert len(weights) == A.shape[1]
 
     if log:
         log = {'err': []}
@@ -882,7 +882,7 @@ def barycenter_unbalanced_sinkhorn(A, M, reg, reg_m, weights=None,
     if weights is None:
         weights = nx.ones(n_hists, type_as=A) / n_hists
     else:
-        assert(len(weights) == A.shape[1])
+        assert len(weights) == A.shape[1]
 
     if log:
         log = {'err': []}