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History of commit frequency

CVS Commit History:


   2023-11-21 22:58:01 by Ryo ONODERA | Files touched by this commit (2)
Log message:
py-numpy: Fix PLIST for Python 3.12

* Python 3.12 has no distutils anymore.
   2023-11-17 21:07:47 by Thomas Klausner | Files touched by this commit (3) | Package updated
Log message:
py-numpy: update to 1.26.2.

NumPy 1.26.2 is a maintenance release that fixes bugs and regressions
discovered after the 1.26.1 release.
   2023-11-17 20:08:36 by Thomas Klausner | Files touched by this commit (4) | Package updated
Log message:
py-numpy: update to 1.26.1.

1.26.1

Pull requests merged
====================

A total of 20 pull requests were merged for this release.

1.26.0

Pull requests merged
====================

A total of 59 pull requests were merged for this release.
   2023-11-14 00:38:47 by Thomas Klausner | Files touched by this commit (1)
Log message:
py-numpy: add tool dependency on py-setuptools

Not pulled in via cython any longer.
   2023-10-28 21:57:26 by Thomas Klausner | Files touched by this commit (516) | Package updated
Log message:
python/wheel.mk: simplify a lot, and switch to 'installer' for installation

This follows the recommended bootstrap method (flit_core, build, installer).

However, installer installs different files than pip, so update PLISTs
for all packages using wheel.mk and bump their PKGREVISIONs.
   2023-08-02 18:17:20 by Nia Alarie | Files touched by this commit (41)
Log message:
*: Use FORCE_C_STD=c99 for C packages that use for loop initial
declarations without setting -std=c99.
   2023-07-31 20:36:01 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-numpy: updated to 1.25.2

1.25.2
MAINT: prepare 1.25.x for further development
ENH: Improve clang-cl compliance
MAINT: Upgrade various build dependencies.
BLD: use ``-ftrapping-math`` with Clang on macOS
BUG: properly handle negative indexes in ufunc_at fast path
BUG: PyObject_IsTrue and PyObject_Not error handling in setflags
BUG: histogram small range robust
MAINT: Update meson.build files from main branch
MAINT: exclude min, max and round from ``np.__all__``
MAINT: Dependabot updates
BUG: Fix the signature for np.array_api.take
BLD: update OpenBLAS to an intermeidate commit
BUG: Fix reference count leak in str(scalar).
BUG: fix invalid function pointer conversion error
BUG: Factor out slow ``getenv`` call used for memory policy warning
CI: correct URL in cirrus.star [skip cirrus]
BUG: Fix C types in scalartypes
BUG: do not modify the input to ufunc_at
BUG: Further fixes to indexing loop and added tests
   2023-07-20 23:07:13 by Nia Alarie | Files touched by this commit (2)
Log message:
py-numpy: Requires a C++17 compiler.
   2023-07-10 15:38:10 by Adam Ciarcinski | Files touched by this commit (3) | Package updated
Log message:
py-numpy: updated to 1.25.1

1.25.1
MAINT: prepare 1.25.x for further development
BLD: Port long double identification to C for meson
BUG: Fix reduction ``return NULL`` to be ``goto fail``
BUG: Avoid undefined behavior in array.astype()
BUG: Ensure ``__array_ufunc__`` works without any kwargs passed
MAINT: Pin urllib3 to avoid anaconda-client bug.
TST: Pin pydantic<2 in Pyodide workflow
MAINT: Bump pypa/cibuildwheel from 2.13.0 to 2.13.1
MAINT: Bump actions/checkout from 3.5.2 to 3.5.3
BUG: Multiply or Divides using SIMD without a full vector can...
MAINT: testing for IS_MUSL closes #24074
BUG: Only replace dtype temporarily if dimensions changed
MAINT: Bump actions/setup-node from 3.6.0 to 3.7.0
BUG: Fix private procedures in f2py modules
   2023-07-01 10:38:26 by Thomas Klausner | Files touched by this commit (4) | Package updated
Log message:
py-numpy: update to 1.25.0.

 NumPy 1.25.0 is now available. The highlights of the release are:

    Support for MUSL, there are now MUSL wheels.
    Support for the Fujitsu C/C++ compiler.
    Object arrays are now supported in einsum.
    Support for the inplace matrix multiplication (@=).

The NumPy 1.25.0 release continues the ongoing work to improve the
handling and promotion of dtypes, increase the execution speed,
and clarify the documentation. There has also been preparatory work
for the future NumPy 2.0.0, resulting in a large number of new and
expired deprecations.

The Python versions supported by this release are 3.9-3.11.

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