Bump numexpr from 2.7.2 to 2.8.3 in /ml-env

[dependabot]

Bumps numexpr from 2.7.2 to 2.8.3.

Changelog

Sourced from numexpr's changelog.

Changes from 2.8.3 to 2.8.4

• Under development.

Changes from 2.8.1 to 2.8.3

• 2.8.2 was skipped due to an error in uploading to PyPi.
• Support for Python 3.6 has been dropped due to the need to substitute the flag NPY_ARRAY_WRITEBACKIFCOPY for NPY_ARRAY_UPDATEIFCOPY. This flag change was initiated in NumPy 1.14 and finalized in 1.23. The only changes were made to cases where an unaligned constant was passed in with a pre-allocated output variable:

    x = np.empty(5, dtype=np.uint8)[1:].view(np.int32)
    ne.evaluate('3', out=x)

We think the risk of issues is very low, but if you are using NumExpr as a expression evaluation tool you may want to write a test for this edge case.

• Thanks to Matt Einhorn (@​matham) for improvements to the GitHub Actions build process to add support for Apple Silicon and aarch64.
• Thanks to Biswapriyo Nath (@​biswa96) for a fix to allow mingw builds on Windows.
• There have been some changes made to not import platform.machine() on sparc but it is highly advised to upgrade to Python 3.9+ to avoid this issue with the Python core package platform.

Changes from 2.8.0 to 2.8.1

• Fixed dependency list.
• Added pyproject.toml and modernize the setup.py script. Thanks to Antonio Valentino for the PR.

Changes from 2.7.3 to 2.8.0

• Wheels for Python 3.10 are now provided.
• Support for Python 2.7 and 3.5 has been discontinued.
• All residual support for Python 2.X syntax has been removed, and therefore the setup build no longer makes calls to the 2to3 script. The setup.py has been refactored to be more modern.
• The examples on how to link into Intel VML/MKL/oneAPI now use the dynamic library.

Commits

• See full diff in compare view

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[dependabot]

Superseded by #214.