Log message:
py-numpy: just assume the __builtin_prefetch configure test works

Also bump PKGREVISION since this is an installed header.

Log message:
py-numpy: fix build on macOS and maybe others

Log message:
py-numpy: Workaround undefined-symbol errors under NetBSD at least

py-numpy-1.22.4's symbol check mechanism does not work for NetBSD
and the other platforms, because gcc and clang calculate trivial math
functions, for example, log1pl() and expm1l(), with immediate arguments,
for example 0. So compiling 'log1pl(0)' is always successful
even if -lm is not added to the compiler's commandline arguments.
Use GNU autotools style check with ugly workaround.
I have no idea about WASM case. However current mechanism will
not work as expected.
Bump PKGREVISION.

Log message:
py-numpy: updated to 1.22.4

1.22.4:
TYP, BUG: Fix ``np.lib.stride_tricks`` re-exported under the...
TST: Bump mypy from 0.931 to 0.940
MAINT: Explicitly re-export the types in ``numpy._typing``
MAINT: Specify sphinx, numpydoc versions for CI doc builds
BUG: Fix typos
ENH, BLD: Fix math feature detection for wasm
MAINT: Fix failing simd and cygwin tests.
MAINT: Fix failing Python 3.8 32-bit Windows test.
BUG: add linux guard
BUG: Allow legacy dtypes to cast to datetime again
BUG: Make mmap handling safer in frombuffer
BUG: Stop using PyBytesObject.ob_shash deprecated in Python 3.11.
ENH: Introduce numpy.core.setup_common.NPY_CXX_FLAGS
BUG: Ensure compile errors are raised correclty
BUG: Fix segmentation fault
MAINT: Update doc requirements
MAINT: Mark ``npy_memchr`` with ``no_sanitize("alignment")`` on clang
DOC: Proposal - make the doc landing page cards more similar...
MAINT: Update Cython version to 0.29.30.
BUG: Fix GCC error during build configuration
REL: Prepare for the NumPy 1.22.4 release.
MAINT: Skip tests that fail on PyPy.

Log message:
py-numpy: Expects compiler to default to C++11.

Log message:
py-numpy: fix build on SunOS

Log message:
py-numpy: fix build on NetBSD

Log message:
py-numpy: Python 3.7 will get the older version from now on

Log message:
py-numpy: updated to 1.22.3

The NumPy 1.22.3 is maintenance release that fixes bugs discovered after the
1.22.2 release. The most noticeable fixes may be those for DLPack. One that may
cause some problems is disallowing strings as inputs to logical ufuncs. It is
still undecided how strings should be treated in those functions and it was
thought best to simply disallow them until a decision was reached. That should
not cause problems with older code.

The NumPy 1.22.2 is maintenance release that fixes bugs discovered after the
1.22.1 release. Notable fixes are:

- Several build related fixes for downstream projects and other platforms.
- Various Annotation fixes/additions.
- Numpy wheels for Windows will use the 1.41 tool chain, fixing downstream link
  problems for projects using NumPy provided libraries on Windows.
- Deal with CVE-2021-41495 complaint.

The NumPy 1.22.1 is maintenance release that fixes bugs discovered after the
1.22.0 release. Notable fixes are:

- Fix f2PY docstring problems (SciPy)
- Fix reduction type problems (AstroPy)
- Fix various typing bugs.

NumPy 1.22.0 is a big release featuring the work of 153 contributers spread
over 609 pull requests. There have been many improvements, highlights are:

* Annotations of the main namespace are essentially complete. Upstream is a
  moving target, so there will likely be further improvements, but the major
  work is done. This is probably the most user visible enhancement in this
  release.
* A preliminary version of the proposed Array-API is provided. This is a step
  in creating a standard collection of functions that can be used across
  applications such as CuPy and JAX.
* NumPy now has a DLPack backend. DLPack provides a common interchange format
  for array (tensor) data.
* New methods for ``quantile``, ``percentile``, and related functions. The new
  methods provide a complete set of the methods commonly found in the
  literature.
* A new configurable allocator for use by downstream projects.
* The universal functions have been refactored to implement most of
  :ref:`NEP 43 <NEP43>`.  This also unlocks the ability to experiment with the
  future DType API.

Log message:
py-numpy: do not install f2py3 to avoid conflict with other versions of this package

use ALTERNATIVES framework to provide it

Bump PKGREVISION.