forked from pool/python-xarray-einstats
64 lines
2.4 KiB
Plaintext
64 lines
2.4 KiB
Plaintext
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Thu Sep 5 09:18:35 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Pin numpy < 2 in testing, due to numba
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Sat Mar 2 09:36:16 UTC 2024 - Ben Greiner <code@bnavigator.de>
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- Skip python39: no xarray anymore
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Mon Feb 12 12:21:36 UTC 2024 - Daniel Garcia <daniel.garcia@suse.com>
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- Enable again numba tests for python >= 3.11
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Sun Jan 21 11:07:16 UTC 2024 - Dirk Müller <dmueller@suse.com>
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- update to 0.7.0:
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* Add support for hashable dimension names
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* Fix tests to be compatible with latest xarray
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* Address numpy deprecation warnings
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* `.ecdf` now returns a DataArray to be compatible with
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`~xarray.Dataset.map` {pull}`47`
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* Added `.linalg` and `.einops` accessors for `DataArray`
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objects
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* Update dependencies and follow new pylint recommendations
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* Add documentation showing how to use accessors
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* Ease running einops tutorial locally
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Fri Mar 24 20:37:44 UTC 2023 - Ben Greiner <code@bnavigator.de>
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- Update to 0.5.1
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* Fix lower cap on xarray version dependency #45
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- Release v0.5.0
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* Added {func}.empty_ref, {func}.ones_ref and {func}.zeros_ref
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DataArray creation helpers #37
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* Added {func}.linalg.diagonal wrapper #37
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* Added {func}.stats.logsumexp wrapper #40
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* Added {func}.searchsorted and {func}.ecdf in
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{mod}~xarray_einstats.numba module #40
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* Added {func}~xarray_einstats.sort wrapper for vectorized sort
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along specific dimension using values #40
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* Fix issue in linalg.svd for non-square matrices #37
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* Fix evaluation of distribution methods (e.g. .pdf) on scalars
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#38 and #39
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* Ensure support on inputs with stacked dimensions #40
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- Release v0.4.0
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* Add multivariate_normal distribution class #23
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* Update pyproject.toml to support building the package with both
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flit and setuptools #26
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* Update python and dependency versions #33
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Thu Nov 24 13:41:39 UTC 2022 - Dirk Müller <dmueller@suse.com>
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- add LICENSE
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-------------------------------------------------------------------
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Wed Nov 23 17:23:43 UTC 2022 - Daniel Garcia <daniel.garcia@suse.com>
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- Initial version
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