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- Add upstream patch fix-test-max-threads-unset.patch
- Remove upstreamed patch numexpr-pr485-allow-numpy1.patch
- Update to 2.10.1:
  - 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.

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- Replace revert-to-numpy1.patch by numexpr-pr485-allow-numpy1.patch
  in order to be able to compile with either numpy major version

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- Add patch revert-to-numpy1.patch to restore compatibility with numpy v1
  * revert of upstream commit, drop when numpy v2 comes to Factory

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- Update 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.

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- update 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.
    providing help and additional fixes.
  * Fixed more sanitizer issues (see PR #469).
  * Modernized the test suite to avoid some warnings.

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- update to 2.8.8:
  * Fix re_evaluate not taking global_dict as argument.
  * Fix parsing of simple complex numbers.  Now,
    `ne.evaluate('1.5j')` works.
  * Fixes for upcoming NumPy 2.0

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- update to 2.8.7:
  * More permissive rules in sanitizing regular expression: allow to
    access digits after the . with scientific notation.
  * Don't reject double underscores that are not at the start or end of
    a variable name (pandas uses those), or scientific-notation numbers
    with digits after the decimal point.
  * Do not use numpy.alltrue in the test suite, as it has been
    deprecated (replaced by numpy.all).
  * Python 3.12 support
  * Thanks to Kirill Kouzoubov for a range of fixes to constants parsing that was
  * Thanks to Mark Harfouche for noticing that we no longer need `numpy` version
- skip python3.6 build (no numpy)
- python3 package added
 * Fixed several issues with different platforms not supporting
 * Now, when trying to use pure Python boolean operators, 'and',
 'or' and 'not, an error is issued and suggesting that '&', '|'
- fix requiements for SLE 11

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- Revert to version 2.8.4: Patch release breaks its API and thus
  Pandas -- gh#pydata/numexpr#442, gh#pydata/numexpr#444
- Move to PEP517 build

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update to latest version

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baserev update by copy to link target

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- update 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.

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