The maximum thread count can now be set at import-time by setting the
environment variable 'NUMEXPR_MAX_THREADS'. The default number of
max threads was lowered from 4096 (which was deemed excessive) to 64.
A number of imports were removed (pkg_resources) or made lazy (cpuinfo) in
order to speed load-times for downstream packages (such as pandas, sympy,
and tables). Import time has dropped from about 330 ms to 90 ms. Thanks to
Jason Sachs for pointing out the source of the slow-down.
Thanks to Alvaro Lopez Ortega for updates to benchmarks to be compatible with
Python 3.
Travis and AppVeyor now fail if the test module fails or errors.
Thanks to Mahdi Ben Jelloul for a patch that removed a bug where constants
in where calls would raise a ValueError.
Fixed a bug whereby all-constant power operations would lead to infinite
recursion.
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Bumps numexpr from 2.7.3 to 2.8.1.
Release notes
Sourced from numexpr's releases.
Changelog
Sourced from numexpr's changelog.
Commits
1bf41c7
Getting ready for release 2.8.118a5545
Merge pull request #393 from avalentino/feature/pyrpoject.tomlaa9fc29
Add pyproject.toml and modernize the setup.py script786ba03
Addsetuptools
andpackaging
to requirements; rescend use of `setuptools....7739512
Post 2.8.0 release actions done193d1b3
Accidently excluded OSX and Windows buildsca10568
Disable aarch64 builds as they take too long and/or timeoute960fd3
Getting ready for release 2.8.0083a461
Try only building aarch64 for latest Python (3.10)57c5468
Implement support for compiling against MKL with newsetup.py
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