Merge pull request #63 from rflamary/prV0.5

[MRG] Release 0.5

4 files changed, 15 insertions, 11 deletions

diff --git a/ot/__init__.py b/ot/__init__.py
index 1dde390..b27541d 100644
--- a/ot/__init__.py
+++ b/ot/__init__.py
@@ -29,7 +29,7 @@ from .da import sinkhorn_lpl1_mm
 # utils functions
 from .utils import dist, unif, tic, toc, toq
 
-__version__ = "0.4.0"
+__version__ = "0.5.0"
 
 __all__ = ["emd", "emd2", "sinkhorn", "sinkhorn2", "utils", 'datasets',
            'bregman', 'lp', 'tic', 'toc', 'toq', 'gromov',
diff --git a/ot/datasets.py b/ot/datasets.py
index 362a89b..e76e75d 100644
--- a/ot/datasets.py
+++ b/ot/datasets.py
@@ -38,9 +38,9 @@ def make_1D_gauss(n, m, s):
 
 
 @deprecated()
-def get_1D_gauss(n, m, sigma, random_state=None):
+def get_1D_gauss(n, m, sigma):
     """ Deprecated see  make_1D_gauss   """
-    return make_1D_gauss(n, m, sigma, random_state=None)
+    return make_1D_gauss(n, m, sigma)
 
 
 def make_2D_samples_gauss(n, m, sigma, random_state=None):
diff --git a/ot/gpu/__init__.py b/ot/gpu/__init__.py
index 0187a4f..deda6b1 100644
--- a/ot/gpu/__init__.py
+++ b/ot/gpu/__init__.py
@@ -9,15 +9,17 @@ By default, the functions in this module accept and return numpy arrays
 in order to proide drop-in replacement for the other POT function but
 the transfer between CPU en GPU comes with a significant overhead.
 
-In order to get the best erformances, we recommend to given only cupy 
+In order to get the best erformances, we recommend to give only cupy 
 arrays to the functions and desactivate the conversion to numpy of the 
 result of the function with parameter ``to_numpy=False``.
 
-
-
-
 """
 
+# Author: Remi Flamary <remi.flamary@unice.fr>
+#         Leo Gautheron <https://github.com/aje>
+#
+# License: MIT License
+
 from . import bregman
 from . import da
 from .bregman import sinkhorn
@@ -27,10 +29,9 @@ from . import utils
 from .utils import dist, to_gpu, to_np
 
 
-# Author: Remi Flamary <remi.flamary@unice.fr>
-#         Leo Gautheron <https://github.com/aje>
-#
-# License: MIT License
+
+
 
 __all__ = ["utils", "dist", "sinkhorn",
            "sinkhorn_lpl1_mm", 'bregman', 'da', 'to_gpu', 'to_np']
+
diff --git a/ot/gpu/da.py b/ot/gpu/da.py
index 6aba29c..4a98038 100644
--- a/ot/gpu/da.py
+++ b/ot/gpu/da.py
@@ -10,10 +10,12 @@ Domain adaptation with optimal transport with GPU implementation
 #
 # License: MIT License
 
+
 import cupy as np  # np used for matrix computation
 import cupy as cp  # cp used for cupy specific operations
 import numpy as npp
 from . import utils
+
 from .bregman import sinkhorn
 
 
@@ -131,6 +133,7 @@ def sinkhorn_lpl1_mm(a, labels_a, b, M, reg, eta=0.1, numItermax=10,
         # separated
         W = np.ones(M.shape)
         for (i, c) in enumerate(classes):
+
             majs = np.sum(transp[indices_labels[i]], axis=0)
             majs = p * ((majs + epsilon)**(p - 1))
             W[indices_labels[i]] = majs