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"""
-This is the main module of the POT toolbox. It provides easy access to
-a number of sub-modules and functions described below.
-
-.. note::
-
-
- Here is a list of the submodules and short description of what they contain.
-
- - :any:`ot.lp` contains OT solvers for the exact (Linear Program) OT problems.
- - :any:`ot.bregman` contains OT solvers for the entropic OT problems using
- Bregman projections.
- - :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
- Wasserstein 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
- Discriminant Analysis.
- - :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.
- - :any:`ot.partial` contains solvers for partial OT.
-
.. warning::
The list of automatically imported sub-modules is as follows:
:py:mod:`ot.lp`, :py:mod:`ot.bregman`, :py:mod:`ot.optim`