Bump numexpr from 2.7.1 to 2.8.5

[dependabot]

Bumps numexpr from 2.7.1 to 2.8.5.

Changelog

Sourced from numexpr's changelog.

Changes from 2.8.5 to 2.8.6

• The sanitization can be turned off by default by setting an environment variable,

  set NUMEXPR_SANITIZE=0

• Improved behavior of the blacklist to avoid triggering on private variables and scientific notation numbers.

Changes from 2.8.4 to 2.8.5

• A validate function has been added. This function checks the inputs, returning None on success or raising an exception on invalid inputs. This function was added as numerous projects seem to be using NumExpr for parsing user inputs. re_evaluate may be called directly following validate.
• As an addendum to the use of NumExpr for parsing user inputs, is that NumExpr calls eval on the inputs. A regular expression is now applied to help sanitize the input expression string, forbidding '__', ':', and ';'. Attribute access is also banned except for '.r' for real and '.i' for imag.
• Thanks to timbrist for a fix to behavior of NumExpr with integers to negative powers. NumExpr was pre-checking integer powers for negative values, which was both inefficient and caused parsing errors in some situations. Now NumExpr will simply return 0 as a result for such cases. While NumExpr generally tries to follow NumPy behavior, performance is also critical.
• Thanks to peadar for some fixes to how NumExpr launches threads for embedded applications.
• Thanks to de11n for making parsing of the site.cfg for MKL consistent among all shared platforms.

Changes from 2.8.3 to 2.8.4

• Support for Python 3.11 has been added.
• Thanks to Tobias Hangleiter for an improved accuracy complex expm1 function. While it is 25 % slower, it is significantly more accurate for the real component over a range of values and matches NumPy outputs much more closely.
• Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was resulting in duplicated constants of the same value.
• Thanks to Mark Harfouche for noticing that we no longer need numpy version checks. packaging is no longer a requirement as a result.

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

... (truncated)

Commits

• 298134a Getting ready for release 2.8.5
• 1c6bce1 Merge branch 'master' of https://github.com/pydata/numexpr
• 00b035c Make more difficult sanitize of the expression string before eval
• 67a1221 Merge pull request #443 from de11n/fix-libraries-parsing
• c2dd659 Fix setup.py to respect numpy's parsing of libraries in site.cfg
• 4b2d89c Add in protections against call to eval(expression)
• 74d5973 Adding tests for validate and noticed that re_evaluate tests using `local...
• 0032150 Apparently sphinx_rtd_theme is only compatible with Sphinx < 7.0
• 6b6fd1d Also pin sphinx-rtd-theme
• 0c22ea7 Try and pin Sphinx version for ReadtheDocs
• Additional commits viewable in compare view

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