pep8

Author: rflamary

README.md

@@ -16,7 +16,7 @@ It provides the following solvers:
 * OT Network Flow solver for the linear program/ Earth Movers Distance [1].
 * Entropic regularization OT solver with Sinkhorn Knopp Algorithm [2] and stabilized version [9][10] with optional GPU implementation (requires cudamat).
 * Smooth optimal transport solvers (dual and semi-dual) for KL and squared L2 regularization [17].
-* Non regularized Wasserstein barycenters [16] with LP solver.
+* Non regularized Wasserstein barycenters [16] with LP solver (only small scale).
 * Bregman projections for Wasserstein barycenter [3] and unmixing [4].
 * Optimal transport for domain adaptation with group lasso regularization [5]
 * Conditional gradient [6] and Generalized conditional gradient for regularized OT [7].

ot/smooth.py

@@ -580,7 +580,7 @@ def smooth_ot_semi_dual(a, b, M, reg, reg_type='l2', method="L-BFGS-B", stopThr=
         raise NotImplementedError('Unknown regularization')
 
     # solve dual
-    alpha, res = solve_semi_dual(a, b, M, regul, max_iter=numItermax, 
+    alpha, res = solve_semi_dual(a, b, M, regul, max_iter=numItermax,
                                  tol=stopThr, verbose=verbose)
 
     # reconstruct transport matrix