doc/source/release/1.26.1-notes.rst
.. currentmodule:: numpy
NumPy 1.26.1 is a maintenance release that fixes bugs and regressions discovered after the 1.26.0 release. In addition, it adds new functionality for detecting BLAS and LAPACK when building from source. Highlights are:
The 1.26.release series is the last planned minor release series before NumPy 2.0. The Python versions supported by this release are 3.9-3.12.
Auto-detection for a number of BLAS and LAPACK is now implemented for Meson. By default, the build system will try to detect MKL, Accelerate (on macOS
=13.3), OpenBLAS, FlexiBLAS, BLIS and reference BLAS/LAPACK. Support for MKL was significantly improved, and support for FlexiBLAS was added.
New command-line flags are available to further control the selection of the BLAS and LAPACK libraries to build against.
To select a specific library, use the config-settings interface via pip or
pypa/build. E.g., to select libblas/liblapack, use::
$ pip install numpy -Csetup-args=-Dblas=blas -Csetup-args=-Dlapack=lapack
$ # OR
$ python -m build . -Csetup-args=-Dblas=blas -Csetup-args=-Dlapack=lapack
This works not only for the libraries named above, but for any library that
Meson is able to detect with the given name through pkg-config or CMake.
Besides -Dblas and -Dlapack, a number of other new flags are available
to control BLAS/LAPACK selection and behavior:
-Dblas-order and -Dlapack-order: a list of library names to search
for in order, overriding the default search order.-Duse-ilp64: if set to true, use ILP64 (64-bit integer) BLAS and
LAPACK. Note that with this release, ILP64 support has been extended to
include MKL and FlexiBLAS. OpenBLAS and Accelerate were supported in previous
releases.-Dallow-noblas: if set to true, allow NumPy to build with its
internal (very slow) fallback routines instead of linking against an external
BLAS/LAPACK library. The default for this flag may be changed to true
in a future 1.26.x release, however for 1.26.1 we'd prefer to keep it as
false because if failures to detect an installed library are happening,
we'd like a bug report for that, so we can quickly assess whether the new
auto-detection machinery needs further improvements.-Dmkl-threading: to select the threading layer for MKL. There are four
options: seq, iomp, gomp and tbb. The default is auto,
which selects from those four as appropriate given the version of MKL
selected.-Dblas-symbol-suffix: manually select the symbol suffix to use for the
library - should only be needed for linking against libraries built in a
non-standard way.numpy._core submodule stubsnumpy._core submodule stubs were added to provide compatibility with
pickled arrays created using NumPy 2.0 when running Numpy 1.26.
A total of 13 people contributed to this release. People with a "+" by their names contributed a patch for the first time.
A total of 20 pull requests were merged for this release.
#24742 <https://github.com/numpy/numpy/pull/24742>__: MAINT: Update cibuildwheel version#24748 <https://github.com/numpy/numpy/pull/24748>__: MAINT: fix version string in wheels built with setup.py#24771 <https://github.com/numpy/numpy/pull/24771>__: BLD, BUG: Fix build failure for host flags e.g. -march=native...#24773 <https://github.com/numpy/numpy/pull/24773>__: DOC: Updated the f2py docs to remove a note on -fimplicit-none#24776 <https://github.com/numpy/numpy/pull/24776>__: BUG: Fix SIMD f32 trunc test on s390x when baseline is none#24785 <https://github.com/numpy/numpy/pull/24785>__: BLD: add libquadmath to licences and other tweaks (#24753)#24786 <https://github.com/numpy/numpy/pull/24786>__: MAINT: Activate use-compute-credits for Cirrus.#24803 <https://github.com/numpy/numpy/pull/24803>__: BLD: updated vendored-meson/meson for mips64 fix#24804 <https://github.com/numpy/numpy/pull/24804>__: MAINT: fix licence path win#24813 <https://github.com/numpy/numpy/pull/24813>__: BUG: Fix order of Windows OS detection macros.#24831 <https://github.com/numpy/numpy/pull/24831>__: BUG, SIMD: use scalar cmul on bad Apple clang x86_64 (#24828)#24840 <https://github.com/numpy/numpy/pull/24840>__: BUG: Fix DATA statements for f2py#24870 <https://github.com/numpy/numpy/pull/24870>__: API: Add NumpyUnpickler for backporting#24872 <https://github.com/numpy/numpy/pull/24872>__: MAINT: Xfail test failing on PyPy.#24879 <https://github.com/numpy/numpy/pull/24879>__: BLD: fix math func feature checks, fix FreeBSD build, add CI...#24899 <https://github.com/numpy/numpy/pull/24899>__: ENH: meson: implement BLAS/LAPACK auto-detection and many CI...#24902 <https://github.com/numpy/numpy/pull/24902>__: DOC: add a 1.26.1 release notes section for BLAS/LAPACK build...#24906 <https://github.com/numpy/numpy/pull/24906>__: MAINT: Backport numpy._core stubs. Remove NumpyUnpickler#24911 <https://github.com/numpy/numpy/pull/24911>__: MAINT: Bump pypa/cibuildwheel from 2.16.1 to 2.16.2#24912 <https://github.com/numpy/numpy/pull/24912>__: BUG: loongarch doesn't use REAL(10)