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python-sparse
python-sparse.changes
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File python-sparse.changes of Package python-sparse
------------------------------------------------------------------- Wed Nov 20 15:53:53 UTC 2024 - Ben Greiner <code@bnavigator.de> - Skip python313: No numba 0.61 yet ------------------------------------------------------------------- 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 ------------------------------------------------------------------- Fri Aug 30 14:42:24 UTC 2024 - Ben Greiner <code@bnavigator.de> - Unpin numpy 2 ------------------------------------------------------------------- Mon Jul 8 05:01:00 UTC 2024 - Steve Kowalik <steven.kowalik@suse.com> - Limit numpy to < 2. ------------------------------------------------------------------- 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) ------------------------------------------------------------------- Fri Mar 29 14:21:45 UTC 2024 - ecsos <ecsos@opensuse.org> - Add %{?sle15_python_module_pythons} ------------------------------------------------------------------- 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 ------------------------------------------------------------------- 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 ------------------------------------------------------------------- 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. ------------------------------------------------------------------- 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 ------------------------------------------------------------------- Mon Jan 24 16:35:40 UTC 2022 - Ben Greiner <code@bnavigator.de> - Don't test optional dask for python310: not supported yet ------------------------------------------------------------------- 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 ------------------------------------------------------------------- Fri Feb 12 14:15:38 UTC 2021 - Dirk Müller <dmueller@suse.com> - skip python 3.6 build ------------------------------------------------------------------- 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 ------------------------------------------------------------------- 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. ------------------------------------------------------------------- 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 ------------------------------------------------------------------- Tue Dec 4 12:54:33 UTC 2018 - Matej Cepl <mcepl@suse.com> - Remove superfluous devel dependency for noarch package ------------------------------------------------------------------- Sun Jul 29 12:33:18 UTC 2018 - jengelh@inai.de - Update descriptions. ------------------------------------------------------------------- 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 ------------------------------------------------------------------- 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 ------------------------------------------------------------------- Thu May 25 16:49:28 UTC 2017 - toddrme2178@gmail.com - Initial version
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