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1 change: 1 addition & 0 deletions RELEASES.md
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#### Closed issues

- Fix duplicate function and class descriptions in generated module API pages while preserving top-level aliases and example backreferences (Issue #527)
- Fix internal arrays created on the torch default device instead of the input device in `ot.partial.partial_wasserstein`, `ot.wasserstein_circle` (and `ot.sliced_wasserstein_sphere`), the high-dimensional Bures-Wasserstein functions in `ot.gaussian`, `ot.gmm`, `ot.lowrank_sinkhorn` with `init="deterministic"`, the semi-relaxed (F)GW barycenters and `ot.utils.projection_sparse_simplex`, which made them fail on GPU inputs. Add a `meta_default_device` test fixture to catch such allocations on CPU (PR #883, Issue #852)
- Allow `NumpyBackend.seed` to adopt an existing `np.random.RandomState` instance and remove NumPy-specific random sampling paths in sliced utilities (PR #849, Issue #848)
- Remove a leftover debug `print` from `ot.utils.projection_sparse_simplex` with `axis=1`, and make the `ot.datasets.make_gauss_hd` docstring a raw string so importing `ot` no longer emits a `SyntaxWarning` (PR #860)
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1 change: 1 addition & 0 deletions docs/source/_templates/module.rst
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.. automodule:: {{ fullname }}
:members:
:exclude-members: {{ (functions + classes) | join(', ') }}

{% block functions %}
{% if functions %}
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