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UW-GAC / django-anvil-consortium-manager

Django app to manage AnVIL workspace permissions
https://django-anvil-consortium-manager.readthedocs.io/en/latest/index.html
MIT License
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Bump numpy from 1.24 to 1.26.1 #415

Closed dependabot[bot] closed 1 year ago

dependabot[bot] commented 1 year ago

Bumps numpy from 1.24 to 1.26.1.

Release notes

Sourced from numpy's releases.

v1.26.1

NumPy 1.26.1 Release Notes

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:

  • Improved detection of BLAS and LAPACK libraries for meson builds
  • Pickle compatibility with the upcoming NumPy 2.0.

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.

Build system changes

Improved BLAS/LAPACK detection and control

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

... (truncated)

Commits
  • 411a55b Merge pull request #24928 from charris/update-version
  • aa91e5d REL: Update release versions
  • 6207a52 Merge pull request #24916 from charris/prepare-1.26.1-release
  • e27f774 MAINT: Revert cibuildwheel update
  • 48bdb17 REL: Prepare for the NumPy 1.26.1 release
  • f51d3ad Merge pull request #24912 from charris/backport-24904
  • 94e315d Merge pull request #24911 from charris/backport-24860
  • 114d086 Merge pull request #24906 from mtsokol/backport-_core-stubs
  • 54e6e65 BUG: loongarch doesn't use REAL(10)
  • cc5e90f MAINT: Bump pypa/cibuildwheel from 2.16.1 to 2.16.2
  • Additional commits viewable in compare view


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codecov[bot] commented 1 year ago

We're currently processing your upload. This comment will be updated when the results are available.