remove square in convergence check

add unbalanced with stabilization

add unbalanced tests with stabilization

fix doctest examples

add xvfb in travis

remove explicit call  xvfb in travis

change alpha to reg_m

minor flake8

remove redundant sink definitions + better doc and naming

add stabilized unbalanced barycenter + add not converged warnings

add test for stable barycenter

add generic barycenter func + make method funcs private

fix typo + add method test for barycenters

fix doc examples + add xml to gitignore

fix whitespace in example

change logsumexp import - scipy deprecation warning

fix doctest

improve naming + add stable barycenter in bregman

add test for stable bar + test the method arg in bregman

Author: Hicham Janati

.gitignore

@@ -59,6 +59,9 @@ coverage.xml
 *.mo
 *.pot
 
+# xml
+*.xml
+
 # Django stuff:
 *.log
 local_settings.py

ot/__init__.py

@@ -1,7 +1,7 @@
 """
 
-This is the main module of the POT toolbox. It provides easy access to 
-a number of sub-modules and functions described below. 
+This is the main module of the POT toolbox. It provides easy access to
+a number of sub-modules and functions described below.
 
 .. note::
 
@@ -14,27 +14,27 @@
     - :any:`ot.lp` contains OT solvers for the exact (Linear Program) OT problems.
     - :any:`ot.smooth` contains OT solvers for the regularized (l2 and kl) smooth OT
       problems.
-    - :any:`ot.gromov` contains solvers for Gromov-Wasserstein and Fused Gromov 
+    - :any:`ot.gromov` contains solvers for Gromov-Wasserstein and Fused Gromov
       Wasserstein problems.
-    - :any:`ot.optim` contains generic solvers OT based optimization problems 
+    - :any:`ot.optim` contains generic solvers OT based optimization problems
     - :any:`ot.da` contains classes and function related to Monge mapping
       estimation and Domain Adaptation (DA).
     - :any:`ot.gpu` contains GPU (cupy) implementation of some OT solvers
-    - :any:`ot.dr` contains Dimension Reduction (DR) methods such as Wasserstein 
+    - :any:`ot.dr` contains Dimension Reduction (DR) methods such as Wasserstein
       Discriminant Analysis.
-    - :any:`ot.utils` contains utility functions such as distance computation and 
-      timing.  
+    - :any:`ot.utils` contains utility functions such as distance computation and
+      timing.
     - :any:`ot.datasets` contains toy dataset generation functions.
     - :any:`ot.plot` contains visualization functions
     - :any:`ot.stochastic` contains stochastic solvers for regularized OT.
     - :any:`ot.unbalanced` contains solvers for regularized unbalanced OT.
 
 .. warning::
-    The list of automatically imported sub-modules is as follows: 
+    The list of automatically imported sub-modules is as follows:
     :py:mod:`ot.lp`, :py:mod:`ot.bregman`, :py:mod:`ot.optim`
     :py:mod:`ot.utils`, :py:mod:`ot.datasets`,
     :py:mod:`ot.gromov`, :py:mod:`ot.smooth`
-    :py:mod:`ot.stochastic`    
+    :py:mod:`ot.stochastic`
 
     The following sub-modules are not imported due to additional dependencies: