The default number of 'safe' threads has been upgraded to 16 (instead of
previous 8). That means that if your CPU has > 16 cores, the default is
to use 16. You can always override this with the "NUMEXPR_MAX_THREADS"
environment variable.
NumPy 1.23 is now the minimum supported.
Preliminary support for Python 3.13. Thanks to Karolina Surma.
Fix tests on nthreads detection (closes: #479). Thanks to @avalentino.
The build process has been modernized and now uses the pyproject.toml
file for more of the configuration options.
Changes from 2.9.0 to 2.10.0
Support for NumPy 2.0.0. This is still experimental, so please
report any issues you find. Thanks to Clément Robert and Thomas
Caswell for the work.
Avoid erroring when OMP_NUM_THREADS is empty string. Thanks to
Patrick Hoefler.
Do not warn if OMP_NUM_THREAD set.
Changes from 2.8.8 to 2.9.0
Support for PyPy (see PRs #467 and #740). The full test suite
should pass now, at least for the 3.10 version. Thanks to
@27rabbitlt for most of the work and @mgorny and @mattip for
providing help and additional fixes. Fixes #463.
Fixed more sanitizer issues (see PR #469). Thanks to @27rabbitlt.
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Updates the requirements on numexpr to permit the latest version.
Changelog
Sourced from numexpr's changelog.
... (truncated)
Commits
ea5d393
Getting ready for release 2.10.1ec01ac9
Modernize the build process (testing)9c8ec78
Document the upgrade to 16 threads as the new 'safe' defaultfb35484
Merge pull request #487 from befeleme/makesuitec7f3d57
We are in 2024, so raise the 'safe' limit to 16 threads7ef1e04
Merge pull request #489 from hroncok/python3.13fcceab4
Fix necompiler.getArguments() on Python 3.13.0b1e7fa591
Add Python 3.13 to CI90aad71
unittest.makeSuite() has been removed from Python 3.139b5a451
Merge pull request #485 from seberg/allow-numpy-1-buildsDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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