Log message:
py-numexpr: update to 2.8.3.

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`.

Log message:
math: Mark some packages incompatible with Python 3.7 due to numpy

Log message:
py-numexpr: update to 2.8.1.

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.

Log message:
*: bump PKGREVISION for egg.mk users

They now have a tool dependency on py-setuptools instead of a DEPENDS

Log message:
Forget about Python 3.6

Log message:
py-numexpr: mark as not for python 2.7

Log message:
math: Replace RMD160 checksums with BLAKE2s checksums

All checksums have been double-checked against existing RMD160 and
SHA512 hashes

Log message:
math: Remove SHA1 hashes for distfiles

Log message:
py-numpy: "Python version >= 3.7 required."

Log message:
py-numexpr: updated to 2.7.3

Changes from 2.7.2 to 2.7.3
---------------------------
- Pinned Numpy versions to minimum supported version in an effort to alleviate
  issues seen in Windows machines not having the same MSVC runtime installed as
  was used to build the wheels.
- ARMv8 wheels are now available, thanks to `odidev` for the pull request.

Changes from 2.7.1 to 2.7.2
---------------------------
- Support for Python 2.7 and 3.5 is deprecated and will be discontinued when
  `cibuildwheels` and/or GitHub Actions no longer support these versions.
- Wheels are now provided for Python 3.7, 3.5, 3.6, 3.7, 3.8, and 3.9 via
  GitHub Actions.
- The block size is now exported into the namespace as `numexpr.__BLOCK_SIZE1__`
  as a read-only value.
- If using MKL, the number of threads for VML is no longer forced to 1 on loading
  the module. Testing has shown that VML never runs in multi-threaded mode for
  the default BLOCKSIZE1 of 1024 elements, and forcing to 1 can have deleterious
  effects on NumPy functions when built with MKL.
- Use of `ndarray.tostring()` in tests has been switch to `ndarray.tobytes()`
  for future-proofing deprecation of `.tostring()`, if the version of NumPy is
  greater than 1.9.
- Added a utility method `get_num_threads` that returns the (maximum) number of
  threads currently in use by the virtual machine. The functionality of
  `set_num_threads` whereby it returns the previous value has been deprecated
  and will be removed in 2.8.X.