File python-sparse.changes of Package python-sparse

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File python-sparse.changes of Package python-sparse (Revision 4e17804571c5f521552e8a3eedaba0f9)

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Tue Nov 26 10:27:28 UTC 2024 - Guillaume GARDET <guillaume.gardet@opensuse.org>

- Re-enable python 3.13 since numba has been patched to support it

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Wed Nov 20 15:53:53 UTC 2024 - Ben Greiner <code@bnavigator.de>

- Skip python313: No numba 0.61 yet

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Mon Sep 23 19:48:30 UTC 2024 - Ben Greiner <code@bnavigator.de>

- Switch to testing in multibuild: The obs runtime requirement
  resolver deals with numba/numpy blockage more gracefully than
  trying to resolve a BuildRequires on them. Numba 0.60 is
  restricted to Numpy < 2.1 right now.
* Test in parallel with xdist

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Fri Aug 30 14:42:24 UTC 2024 - Ben Greiner <code@bnavigator.de>

- Unpin numpy 2

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Mon Jul  8 05:01:00 UTC 2024 - Steve Kowalik <steven.kowalik@suse.com>

- Limit numpy to < 2.

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Thu Jun  6 18:03:14 UTC 2024 - Ben Greiner <code@bnavigator.de>

- Update to 0.15.4
  * no changelog since 0.15.1
- Release 0.15.1
  * Fix regression where with XArray by supporting all API
    functions via the Array API standard. (PR #622 thanks
    @hameerabbasi)
- Release 0.15.0
  * Fix regression where DeprecationWarning`s were being fired
    unexpectedly. (:pr:`581 thanks @hameerabbasi)
  * Extended sparse.einsum support (PR #579 thanks @HadrienNU)
  * General code clean-up (PR #586 thanks @MHRasmy, PR #598 thanks
    @jamestwebber)
  * Bug fixes with respect to NumPy compatibility (PR #598 thanks
    @hameerabbasi, PR #609 thanks @Illviljan, PR #620 thanks
    @mtsokol)
  * Bug fixes with respect to GCXS (PR #611 thanks @EuGig, PR #601
    thanks @jamestwebber)
  * Array API standard support (PR #612, PR #613, PR #614, PR #615,
    PR #619, PR #620 thanks @mtsokol)
  * matrepr support for display of sparse data (PR #605, PR #606
    thanks @alugowski).
  * Larger code clean-up with Ruff formatter and linter (PR #617,
    PR #621 thanks @hameerabbasi)

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Fri Mar 29 14:21:45 UTC 2024 - ecsos <ecsos@opensuse.org>

- Add %{?sle15_python_module_pythons}

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Mon May 29 16:44:57 UTC 2023 - Ben Greiner <code@bnavigator.de>

- Unskip python311: numby 0.57 is released
- Skip test_tensordot: gh#pydata/sparse#594

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Sat Mar 25 12:05:17 UTC 2023 - Ben Greiner <code@bnavigator.de>

- Update to 0.14.0
  * sparse.einsum support (PR #564 thanks @jcmgray)
  * Some bug-fixes (PR #524, PR #527, PR #555 thanks @hameerabbasi,
    PR #569, thanks @jamestwebber, PR #534, thanks
    @sarveshbhatnagar)
  * Some performance improvements (PR #570, thanks @jamestwebber,
    PR #540, thanks @smldub).
- Skip python311 build: no numba yet
- Drop skip-32bit-archs.patch, disable 32bit test suite: too many
  tests involve 64bit types

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Fri Oct 21 08:39:20 UTC 2022 - Matej Cepl <mcepl@suse.com>

- Add skip-32bit-archs.patch skiping a failing test on 32bit arch
  (gh#pydata/sparse#490).
- Also remove conditional python_module definition.

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Thu Jul 14 17:53:01 UTC 2022 - Ben Greiner <code@bnavigator.de>

- remove stray ancient pathlib requirement
- Dask supports Python 3.10 now: reenable tests

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Mon Jan 24 16:35:40 UTC 2022 - Ben Greiner <code@bnavigator.de>

- Don't test optional dask for python310: not supported yet

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Wed Sep 22 12:39:03 UTC 2021 - Ben Greiner <code@bnavigator.de>

- Update to 0.13.0
  * GCXS improvements and changes.
  * Maintainence fixes
  * sparse.DOK.from_scipy_sparse method
  * Black re-formatting
  * Add sparse.pad
  * Switch to GitHub Actions
  * Fix a number of bugs in format conversion.
  * Fix bug in sparse.matmul for higher-dimensional arrays.
  * Fix scalar conversion to COO
  * Fix OOB memory accesses
  * Fixes element-wise ops with scalar COO array.
  * Fix scalar broadcast_to with nnz==0.
  * Add order parameter to {zero, ones, full}[_like].
  * Fix tensordot typing bugs.
- Release 0.12.0
  * There are a number of large changes in this release. For
    example, we have implemented the GCXS type, and its
    specializations CSR and CSC. We plan on gradually improving the
    performance of these.
  * A number of GCXS fixes and additions
  * Ability to change the index dtype for better storage
    characteristics.
  * Some work on DOK arrays to bring them closer to the other
    formats
  * CSR and CSC specializations of GCXS
  * Fix a number of bugs
  * Add nnz parameter to sparse.random
- Drop sparse-pr421-fix-cootype.patch merged upstream

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Fri Feb 12 14:15:38 UTC 2021 - Dirk Müller <dmueller@suse.com>

- skip python 3.6 build

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Mon Dec 28 11:56:48 UTC 2020 - Benjamin Greiner <code@bnavigator.de>

- Update to 0.11.2
  * Fix TypingError on sparse.dot with complex dtypes. (Issue #403, 
    PR #404) 
- Changelog for 0.11.1
  * Fix ValueError on sparse.dot with extremely small values.
    (Issue #398, PR #399)
- Changelog for 0.11.0
  * Improve the performance of sparse.dot. (Issue #331, PR #389, 
    thanks @daletovar)
  * Added the COO.swapaxes method. (PR #344, thanks @lueckem)
  * Added multi-axis 1-D indexing support. (PR #343, thanks 
    @mikeymezher)
  * Fix outer for arrays that weren’t one-dimensional. (Issue #346, 
    PR #347)
  * Add casting kwarg to COO.astype. (Issue #391, PR #392)
  * Fix for COO constructor accepting invalid inputs. (Issue #385, 
    PR #386)
  - Changelog for 0.10.0
  * Fixed a bug where converting an empty DOK array to COO leads to 
    an incorrect dtype. (Issue #314, PR #315)
  * Change code formatter to black. (PR #284)
  * Add COO.flatten and sparse.outer. (Issue #316, PR #317).
  * Remove broadcasting restriction between sparse arrays and dense 
    arrays. (Issue #306, PR #318)
  * Implement deterministic dask tokenization. (Issue #300, PR 
    #320, thanks @danielballan)
  * Improve testing around densification (PR #321, thanks 
    @danielballan)
  * Simplify Numba extension. (PR #324, thanks @eric-wieser).
  * Respect copy=False in astype (PR #328, thanks @eric-wieser).
  * Replace linear_loc with ravel_multi_index, which is 3x faster. 
    (PR #330, thanks @eric-wieser).
  * Add error msg to tensordot operation when ndim==0 (Issue #332, 
    PR #333, thanks @guilhermeleobas).
  * Maintainence fixes for Sphinx 3.0 and Numba 0.49, and dropping 
    support for Python 3.5. (PR #337).
  * Fixed signature for numpy.clip.
- Changelog for 0.9.1
  * Fixed a bug where indexing with an empty list could lead to 
    issues. (Issue #281, PR #282)
  * Change code formatter to black. (PR #284)
  * Add the diagonal and diagonalize functions. (Issue #288, PR 
    #289, thanks @pettni)
  * Add HTML repr for notebooks. (PR #283, thanks @daletovar)
  * Avoid making copy of coords when making a new COO array.
  * Add stack and concatenate for GCXS. (Issue #301, PR #303, 
    thanks @daletovar).
  * Fix issue where functions dispatching to an attribute access 
    wouldn’t work with __array_function__. (Issue #308, PR #309).
  * Add partial support for constructing and mirroring COO objects 
    to Numba.
- add sparse-pr421-fix-cootype.patch
  * gh#pydata/sparse#420
  * gh#pydata/sparse#421

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Thu Sep  5 13:38:18 UTC 2019 - Todd R <toddrme2178@gmail.com>

- Update to 0.8.0
  * Fixed a bug where an array with size == 1 and nnz == 0
    could not be broadcast.
  * Add ``std`` and ``var``.
  * Move to Azure Pipelines with CI for Windows, macOS and
    Linux.
  * Add ``resize``, and change ``reshape`` so it raises a
    ``ValueError`` on shapes that don't correspond to the
    same size.
  * Add ``isposinf`` and ``isneginf``.
  * Fix ``tensordot`` when nnz = 0.
  * Modifications to ``__array_function__`` to allow for sparse
    XArrays.
  * Add not-yet-public support for GCXS.
  * Improvements to ``__array_function__``.
  * Convert all Numba lists to typed lists.
  * Why write code when it exists elsewhere?
  * Fix some element-wise operations with scalars.
  * Private modules should be private, and tests should be in the package.

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Tue Apr  9 08:57:08 UTC 2019 - pgajdos@suse.com

- version update to 0.7.0
  * python3-only package, for other changes see changelog.rst

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Tue Dec  4 12:54:33 UTC 2018 - Matej Cepl <mcepl@suse.com>

- Remove superfluous devel dependency for noarch package

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Sun Jul 29 12:33:18 UTC 2018 - jengelh@inai.de

- Update descriptions.

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Thu May 24 17:46:54 UTC 2018 - toddrme2178@gmail.com

- Update to 0.3.1
  * Add Elementwise broadcasting and broadcast_to (:pr:`35`) `Hameer Abbasi`_
  * Add Bitwise ops (:pr:`38`) `Hameer Abbasi`_
  * Add slicing support for Ellipsis and None (:pr:`37`) `Matthew Rocklin`_
  * Add triu and tril and tests (:pr:`40`) `Hameer Abbasi`_
  * Extend gitignore file  (:pr:`42`) `Nils Werner`_
  * Update MANIFEST.in (:pr:`45`) `Matthew Rocklin`_
  * Remove auto densification and unify operator code (:pr:`46`) `Hameer Abbasi`_
  * Fix nnz for scalars (:pr:`48`) `Hameer Abbasi`_
  * Update README (:pr:`50`) (:pr:`53`) `Hameer Abbasi`_
  * Fix large concatenations and stacks (:pr:`50`) `Hameer Abbasi`_
  * Add __array_ufunc__ for __call__ and reduce (:pr:`49`) `Hameer Abbasi`_
  * Update documentation (:pr:`54`) `Hameer Abbasi`_
  * Flake8 and coverage in pytest (:pr:`59`) `Nils Werner`_
  * Copy constructor (:pr:`55`) `Nils Werner`_
  * Add random function (:pr:`41`) `Nils Werner`_
  * Add lots of indexing features (:pr:`57`) `Hameer Abbasi`_
  * Validate .transpose axes (:pr:`61`) `Nils Werner`_
  * Simplify axes normalization logic `Nils Werner`_
  * User higher density for sparse.random in tests (:pr:`64`) `Keisuke Fujii`_
  * Support left-side np.number elemwise operations (:pr:`67`) `Keisuke Fujii`_
  * Support len on COO (:pr:`68`) `Nils Werner`_
  * Update scipy version in requirements (:pr:`70`) `Hameer Abbasi`_
  * Documentation (:pr:`43`) `Nils Werner`_ and `Hameer Abbasi`_
  * Use Tox for cross Python-version testing (:pr:`77`) `Nils Werner`_
  * Support mixed sparse-dense when result is sparse (:pr:`75`) `Hameer Abbasi`_
  * Update contributing.rst (:pr:`76`) `Hameer Abbasi`_
  * Size and density properties (:pr:`69`) `Nils Werner`_
  * Fix large sum (:pr:`83`) `Hameer Abbasi`_
  * Add DOK (:pr:`85`) `Hameer Abbasi`_
  * Implement __array__ protocol (:pr:`87`) `Matthew Rocklin`_
- spec file cleanups

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Thu Nov  2 03:18:40 UTC 2017 - arun@gmx.de

- update to version 0.1.1:
  * Add @ operator (simplify) (#16)
  * Opt in to caching
  * Cache reshape and transpose
  * Add tocsr method and sorted checking
  * Fix windows errors around int/long
  * use elemwise_binary in __add__
  * Fix bug in large reductions
  * Add out= keywords to ufuncs

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Thu May 25 16:49:28 UTC 2017 - toddrme2178@gmail.com

- Initial version

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File python-sparse.changes of Package python-sparse (Revision 4e17804571c5f521552e8a3eedaba0f9)

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