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Hugovdberg / PIconnect

A python connector to the OSISoft PI and PI-AF databases
MIT License
91 stars 41 forks source link

Scheduled biweekly dependency update for week 22 #746

Closed pyup-bot closed 4 months ago

pyup-bot commented 5 months ago

Update cffi from 1.15.1 to 1.16.0.

The bot wasn't able to find a changelog for this release. Got an idea?

Links - PyPI: https://pypi.org/project/cffi - Docs: http://cffi.readthedocs.org

Update clr-loader from 0.2.5 to 0.2.6.

Changelog ### 0.2.6 ``` What's Changed * fix mono set dirs by koubaa in https://github.com/pythonnet/clr-loader/pull/48 * Fix handling of non-ASCII assembly paths on .NET Framework by filmor in https://github.com/pythonnet/clr-loader/pull/62 * Delay actually loading the runtime to fix property setting by filmor in https://github.com/pythonnet/clr-loader/pull/63 * .NET Framework domains by filmor in https://github.com/pythonnet/clr-loader/pull/42 **Full Changelog**: https://github.com/pythonnet/clr-loader/compare/v0.2.5...v0.2.6 ```
Links - PyPI: https://pypi.org/project/clr-loader - Changelog: https://data.safetycli.com/changelogs/clr-loader/

Update numpy from 1.24.2 to 1.26.4.

Changelog ### 1.26.4 ``` discovered after the 1.26.3 release. The Python versions supported by this release are 3.9-3.12. This is the last planned release in the 1.26.x series. Contributors A total of 13 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - Charles Harris - Elliott Sales de Andrade - Lucas Colley + - Mark Ryan + - Matti Picus - Nathan Goldbaum - Ola x Nilsson + - Pieter Eendebak - Ralf Gommers - Sayed Adel - Sebastian Berg - Stefan van der Walt - Stefano Rivera Pull requests merged A total of 19 pull requests were merged for this release. - [25323](https://github.com/numpy/numpy/pull/25323): BUG: Restore missing asstr import - [25523](https://github.com/numpy/numpy/pull/25523): MAINT: prepare 1.26.x for further development - [25539](https://github.com/numpy/numpy/pull/25539): BUG: `numpy.array_api`: fix `linalg.cholesky` upper decomp\... - [25584](https://github.com/numpy/numpy/pull/25584): CI: Bump azure pipeline timeout to 120 minutes - [25585](https://github.com/numpy/numpy/pull/25585): MAINT, BLD: Fix unused inline functions warnings on clang - [25599](https://github.com/numpy/numpy/pull/25599): BLD: include fix for MinGW platform detection - [25618](https://github.com/numpy/numpy/pull/25618): TST: Fix test_numeric on riscv64 - [25619](https://github.com/numpy/numpy/pull/25619): BLD: fix building for windows ARM64 - [25620](https://github.com/numpy/numpy/pull/25620): MAINT: add `newaxis` to `__all__` in `numpy.array_api` - [25630](https://github.com/numpy/numpy/pull/25630): BUG: Use large file fallocate on 32 bit linux platforms - [25643](https://github.com/numpy/numpy/pull/25643): TST: Fix test_warning_calls on Python 3.12 - [25645](https://github.com/numpy/numpy/pull/25645): TST: Bump pytz to 2023.3.post1 - [25658](https://github.com/numpy/numpy/pull/25658): BUG: Fix AVX512 build flags on Intel Classic Compiler - [25670](https://github.com/numpy/numpy/pull/25670): BLD: fix potential issue with escape sequences in `__config__.py` - [25718](https://github.com/numpy/numpy/pull/25718): CI: pin cygwin python to 3.9.16-1 and fix typing tests \[skip\... - [25720](https://github.com/numpy/numpy/pull/25720): MAINT: Bump cibuildwheel to v2.16.4 - [25748](https://github.com/numpy/numpy/pull/25748): BLD: unvendor meson-python on 1.26.x and upgrade to meson-python\... - [25755](https://github.com/numpy/numpy/pull/25755): MAINT: Include header defining backtrace - [25756](https://github.com/numpy/numpy/pull/25756): BUG: Fix np.quantile(\[Fraction(2,1)\], 0.5) (#24711) Checksums MD5 90f33cdd8934cd07192d6ede114d8d4d numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl 63ac60767f6724490e587f6010bd6839 numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl ad4e82b225aaaf5898ea9798b50978d8 numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl d428e3da2df4fa359313348302cf003a numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 89937c3bb596193f8ca9eae2ff84181e numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl de4f9da0a4e6dfd4cec39c7ad5139803 numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl 2c1f73fd9b3acf4b9b0c23e985cdd38f numpy-1.26.4-cp310-cp310-win32.whl 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The most notable changes are the f2py bug fixes. The Python versions supported by this release are 3.9-3.12. Compatibility `f2py` will no longer accept ambiguous `-m` and `.pyf` CLI combinations. When more than one `.pyf` file is passed, an error is raised. When both `-m` and a `.pyf` is passed, a warning is emitted and the `-m` provided name is ignored. Improvements `f2py` now handles `common` blocks which have `kind` specifications from modules. This further expands the usability of intrinsics like `iso_fortran_env` and `iso_c_binding`. Contributors A total of 18 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - \DWesl - \Illviljan - Alexander Grund - Andrea Bianchi + - Charles Harris - Daniel Vanzo - Johann Rohwer + - Matti Picus - Nathan Goldbaum - Peter Hawkins - Raghuveer Devulapalli - Ralf Gommers - Rohit Goswami - Sayed Adel - Sebastian Berg - Stefano Rivera + - Thomas A Caswell - matoro Pull requests merged A total of 42 pull requests were merged for this release. - [25130](https://github.com/numpy/numpy/pull/25130): MAINT: prepare 1.26.x for further development - [25188](https://github.com/numpy/numpy/pull/25188): TYP: add None to `__getitem__` in `numpy.array_api` - [25189](https://github.com/numpy/numpy/pull/25189): BLD,BUG: quadmath required where available \[f2py\] - [25190](https://github.com/numpy/numpy/pull/25190): BUG: alpha doesn\'t use REAL(10) - [25191](https://github.com/numpy/numpy/pull/25191): BUG: Fix FP overflow error in division when the divisor is scalar - [25192](https://github.com/numpy/numpy/pull/25192): MAINT: Pin scipy-openblas version. - [25201](https://github.com/numpy/numpy/pull/25201): BUG: Fix f2py to enable use of string optional inout argument - [25202](https://github.com/numpy/numpy/pull/25202): BUG: Fix -fsanitize=alignment issue in numpy/\_core/src/multiarray/arraytypes.c.src - [25203](https://github.com/numpy/numpy/pull/25203): TST: Explicitly pass NumPy path to cython during tests (also\... - [25204](https://github.com/numpy/numpy/pull/25204): BUG: fix issues with `newaxis` and `linalg.solve` in `numpy.array_api` - [25205](https://github.com/numpy/numpy/pull/25205): BUG: Disallow shadowed modulenames - [25217](https://github.com/numpy/numpy/pull/25217): BUG: Handle common blocks with kind specifications from modules - [25218](https://github.com/numpy/numpy/pull/25218): BUG: Fix moving compiled executable to root with f2py -c on Windows - [25219](https://github.com/numpy/numpy/pull/25219): BUG: Fix single to half-precision conversion on PPC64/VSX3 - [25227](https://github.com/numpy/numpy/pull/25227): TST: f2py: fix issue in test skip condition - [25240](https://github.com/numpy/numpy/pull/25240): Revert \"MAINT: Pin scipy-openblas version.\" - [25249](https://github.com/numpy/numpy/pull/25249): MAINT: do not use `long` type - [25377](https://github.com/numpy/numpy/pull/25377): TST: PyPy needs another gc.collect on latest versions - [25378](https://github.com/numpy/numpy/pull/25378): CI: Install Lapack runtime on Cygwin. - [25379](https://github.com/numpy/numpy/pull/25379): MAINT: Bump conda-incubator/setup-miniconda from 2.2.0 to 3.0.1 - [25380](https://github.com/numpy/numpy/pull/25380): BLD: update vendored Meson for AIX shared library fix - [25419](https://github.com/numpy/numpy/pull/25419): MAINT: Init `base` in cpu_avx512_kn - [25420](https://github.com/numpy/numpy/pull/25420): BUG: Fix failing test_features on SapphireRapids - [25422](https://github.com/numpy/numpy/pull/25422): BUG: Fix non-contiguous memory load when ARM/Neon is enabled - [25428](https://github.com/numpy/numpy/pull/25428): MAINT,BUG: Never import distutils above 3.12 \[f2py\] - [25452](https://github.com/numpy/numpy/pull/25452): MAINT: make the import-time check for old Accelerate more specific - [25458](https://github.com/numpy/numpy/pull/25458): BUG: fix macOS version checks for Accelerate support - [25465](https://github.com/numpy/numpy/pull/25465): MAINT: Bump actions/setup-node and larsoner/circleci-artifacts-redirector-action - [25466](https://github.com/numpy/numpy/pull/25466): BUG: avoid seg fault from OOB access in RandomState.set_state() - [25467](https://github.com/numpy/numpy/pull/25467): BUG: Fix two errors related to not checking for failed allocations - [25468](https://github.com/numpy/numpy/pull/25468): BUG: Fix regression with `f2py` wrappers when modules and subroutines\... - [25475](https://github.com/numpy/numpy/pull/25475): BUG: Fix build issues on SPR - [25478](https://github.com/numpy/numpy/pull/25478): BLD: fix uninitialized variable warnings from simd/neon/memory.h - [25480](https://github.com/numpy/numpy/pull/25480): BUG: Handle `iso_c_type` mappings more consistently - [25481](https://github.com/numpy/numpy/pull/25481): BUG: Fix module name bug in signature files \[urgent\] \[f2py\] - [25482](https://github.com/numpy/numpy/pull/25482): BUG: Handle .pyf.src and fix SciPy \[urgent\] - [25483](https://github.com/numpy/numpy/pull/25483): DOC: `f2py` rewrite with `meson` details - [25485](https://github.com/numpy/numpy/pull/25485): BUG: Add external library handling for meson \[f2py\] - [25486](https://github.com/numpy/numpy/pull/25486): MAINT: Run f2py\'s meson backend with the same python that ran\... - [25489](https://github.com/numpy/numpy/pull/25489): MAINT: Update `numpy/f2py/_backends` from main. - [25490](https://github.com/numpy/numpy/pull/25490): MAINT: Easy updates of `f2py/*.py` from main. - 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numpy-1.26.3-cp39-cp39-win_amd64.whl 3c67423b3703f8fbd90f5adaa37f85b5794d3366948efe9a5190a5f3a83fc34e numpy-1.26.3-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 46f47ee566d98849323f01b349d58f2557f02167ee301e5e28809a8c0e27a2d0 numpy-1.26.3-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl a8474703bffc65ca15853d5fd4d06b18138ae90c17c8d12169968e998e448bb5 numpy-1.26.3-pp39-pypy39_pp73-win_amd64.whl 697df43e2b6310ecc9d95f05d5ef20eacc09c7c4ecc9da3f235d39e71b7da1e4 numpy-1.26.3.tar.gz ``` ### 1.26.2 ``` discovered after the 1.26.1 release. 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. Contributors A total of 13 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - \stefan6419846 - \thalassemia + - Andrew Nelson - Charles Bousseau + - Charles Harris - Marcel Bargull + - Mark Mentovai + - Matti Picus - Nathan Goldbaum - Ralf Gommers - Sayed Adel - Sebastian Berg - William Ayd + Pull requests merged A total of 25 pull requests were merged for this release. - [24814](https://github.com/numpy/numpy/pull/24814): MAINT: align test_dispatcher s390x targets with \_umath_tests_mtargets - [24929](https://github.com/numpy/numpy/pull/24929): MAINT: prepare 1.26.x for further development - [24955](https://github.com/numpy/numpy/pull/24955): ENH: Add Cython enumeration for NPY_FR_GENERIC - [24962](https://github.com/numpy/numpy/pull/24962): REL: Remove Python upper version from the release branch - [24971](https://github.com/numpy/numpy/pull/24971): BLD: Use the correct Python interpreter when running tempita.py - [24972](https://github.com/numpy/numpy/pull/24972): MAINT: Remove unhelpful error replacements from `import_array()` - [24977](https://github.com/numpy/numpy/pull/24977): BLD: use classic linker on macOS, the new one in XCode 15 has\... - [25003](https://github.com/numpy/numpy/pull/25003): BLD: musllinux_aarch64 \[wheel build\] - [25043](https://github.com/numpy/numpy/pull/25043): MAINT: Update mailmap - [25049](https://github.com/numpy/numpy/pull/25049): MAINT: Update meson build infrastructure. - [25071](https://github.com/numpy/numpy/pull/25071): MAINT: Split up .github/workflows to match main - [25083](https://github.com/numpy/numpy/pull/25083): BUG: Backport fix build on ppc64 when the baseline set to Power9\... - [25093](https://github.com/numpy/numpy/pull/25093): BLD: Fix features.h detection for Meson builds \[1.26.x Backport\] - [25095](https://github.com/numpy/numpy/pull/25095): BUG: Avoid intp conversion regression in Cython 3 (backport) - [25107](https://github.com/numpy/numpy/pull/25107): CI: remove obsolete jobs, and move macOS and conda Azure jobs\... - [25108](https://github.com/numpy/numpy/pull/25108): CI: Add linux_qemu action and remove travis testing. - [25112](https://github.com/numpy/numpy/pull/25112): MAINT: Update .spin/cmds.py from main. - [25113](https://github.com/numpy/numpy/pull/25113): DOC: Visually divide main license and bundled licenses in wheels - [25115](https://github.com/numpy/numpy/pull/25115): MAINT: Add missing `noexcept` to shuffle helpers - [25116](https://github.com/numpy/numpy/pull/25116): DOC: Fix license identifier for OpenBLAS - [25117](https://github.com/numpy/numpy/pull/25117): BLD: improve detection of Netlib libblas/libcblas/liblapack - [25118](https://github.com/numpy/numpy/pull/25118): MAINT: Make bitfield integers unsigned - [25119](https://github.com/numpy/numpy/pull/25119): BUG: Make n a long int for np.random.multinomial - [25120](https://github.com/numpy/numpy/pull/25120): BLD: change default of the `allow-noblas` option to true. - 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numpy-1.26.2-cp39-cp39-win_amd64.whl 1cc3d5029a30fb5f06704ad6b23b35e11309491c999838c31f124fee32107c79 numpy-1.26.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 94cc3c222bb9fb5a12e334d0479b97bb2df446fbe622b470928f5284ffca3f8d numpy-1.26.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl fe6b44fb8fcdf7eda4ef4461b97b3f63c466b27ab151bec2366db8b197387841 numpy-1.26.2-pp39-pypy39_pp73-win_amd64.whl f65738447676ab5777f11e6bbbdb8ce11b785e105f690bc45966574816b6d3ea numpy-1.26.2.tar.gz ``` ### 1.26.1 ``` 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 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. New features `numpy._core` submodule stubs `numpy._core` submodule stubs were added to provide compatibility with pickled arrays created using NumPy 2.0 when running Numpy 1.26. Contributors A total of 13 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - Andrew Nelson - Anton Prosekin + - Charles Harris - Chongyun Lee + - Ivan A. Melnikov + - Jake Lishman + - Mahder Gebremedhin + - Mateusz Sokół - Matti Picus - Munira Alduraibi + - Ralf Gommers - Rohit Goswami - Sayed Adel Pull requests merged 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. 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numpy-1.26.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 1e11668d6f756ca5ef534b5be8653d16c5352cbb210a5c2a79ff288e937010d5 numpy-1.26.1-cp39-cp39-musllinux_1_1_x86_64.whl d1d2c6b7dd618c41e202c59c1413ef9b2c8e8a15f5039e344af64195459e3104 numpy-1.26.1-cp39-cp39-win32.whl 59227c981d43425ca5e5c01094d59eb14e8772ce6975d4b2fc1e106a833d5ae2 numpy-1.26.1-cp39-cp39-win_amd64.whl 06934e1a22c54636a059215d6da99e23286424f316fddd979f5071093b648668 numpy-1.26.1-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 76ff661a867d9272cd2a99eed002470f46dbe0943a5ffd140f49be84f68ffc42 numpy-1.26.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 6965888d65d2848e8768824ca8288db0a81263c1efccec881cb35a0d805fcd2f numpy-1.26.1-pp39-pypy39_pp73-win_amd64.whl c8c6c72d4a9f831f328efb1312642a1cafafaa88981d9ab76368d50d07d93cbe numpy-1.26.1.tar.gz ``` ### 1.26.0 ``` The NumPy 1.26.0 release is a continuation of the 1.25.x release cycle with the addition of Python 3.12.0 support. Python 3.12 dropped distutils, consequently supporting it required finding a replacement for the setup.py/distutils based build system NumPy was using. We have chosen to use the Meson build system instead, and this is the first NumPy release supporting it. This is also the first release that supports Cython 3.0 in addition to retaining 0.29.X compatibility. Supporting those two upgrades was a large project, over 100 files have been touched in this release. The changelog doesn\'t capture the full extent of the work, special thanks to Ralf Gommers, Sayed Adel, Stéfan van der Walt, and Matti Picus who did much of the work in the main development branch. The highlights of this release are: - Python 3.12.0 support. - Cython 3.0.0 compatibility. - Use of the Meson build system - Updated SIMD support The Python versions supported in this release are 3.9-3.12. Build system changes In this release, NumPy has switched to Meson as the build system and meson-python as the build backend. Installing NumPy or building a wheel can be done with standard tools like `pip` and `pypa/build`. The following are supported: - Regular installs: `pip install numpy` or (in a cloned repo) `pip install .` - Building a wheel: `python -m build` (preferred), or `pip wheel .` - Editable installs: `pip install -e . --no-build-isolation` - Development builds through the custom CLI implemented with [spin](https://github.com/scientific-python/spin): `spin build`. All the regular `pip` and `pypa/build` flags (e.g., `--no-build-isolation`) should work as expected. NumPy-specific build customization Many of the NumPy-specific ways of customizing builds have changed. The `NPY_*` environment variables which control BLAS/LAPACK, SIMD, threading, and other such options are no longer supported, nor is a `site.cfg` file to select BLAS and LAPACK. Instead, there are command-line flags that can be passed to the build via `pip`/`build`\'s config-settings interface. These flags are all listed in the `meson_options.txt` file in the root of the repo. Detailed documented will be available before the final 1.26.0 release; for now please see [the SciPy \"building from source\"docs](http://scipy.github.io/devdocs/building/index.html) since most build customization works in an almost identical way in SciPy as it does in NumPy. Build dependencies While the runtime dependencies of NumPy have not changed, the build dependencies have. Because we temporarily vendor Meson and meson-python, there are several new dependencies - please see the `[build-system]` section of `pyproject.toml` for details. Troubleshooting This build system change is quite large. In case of unexpected issues, it is still possible to use a `setup.py`-based build as a temporary workaround (on Python 3.9-3.11, not 3.12), by copying `pyproject.toml.setuppy` to `pyproject.toml`. However, please open an issue with details on the NumPy issue tracker. We aim to phase out `setup.py` builds as soon as possible, and therefore would like to see all potential blockers surfaced early on in the 1.26.0 release cycle. Contributors A total of 11 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - Bas van Beek - Charles Harris - Matti Picus - Melissa Weber Mendonça - Ralf Gommers - Sayed Adel - Sebastian Berg - Stefan van der Walt - Tyler Reddy - Warren Weckesser Pull requests merged A total of 18 pull requests were merged for this release. - [24305](https://github.com/numpy/numpy/pull/24305): MAINT: Prepare 1.26.x branch for development - [24308](https://github.com/numpy/numpy/pull/24308): MAINT: Massive update of files from main for numpy 1.26 - [24322](https://github.com/numpy/numpy/pull/24322): CI: fix wheel builds on the 1.26.x branch - [24326](https://github.com/numpy/numpy/pull/24326): BLD: update openblas to newer version - [24327](https://github.com/numpy/numpy/pull/24327): TYP: Trim down the `_NestedSequence.__getitem__` signature - [24328](https://github.com/numpy/numpy/pull/24328): BUG: fix choose refcount leak - [24337](https://github.com/numpy/numpy/pull/24337): TST: fix running the test suite in builds without BLAS/LAPACK - [24338](https://github.com/numpy/numpy/pull/24338): BUG: random: Fix generation of nan by dirichlet. - [24340](https://github.com/numpy/numpy/pull/24340): MAINT: Dependabot updates from main - [24342](https://github.com/numpy/numpy/pull/24342): MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1 - [24353](https://github.com/numpy/numpy/pull/24353): MAINT: Update `extbuild.py` from main. - [24356](https://github.com/numpy/numpy/pull/24356): TST: fix distutils tests for deprecations in recent setuptools\... - [24375](https://github.com/numpy/numpy/pull/24375): MAINT: Update cibuildwheel to version 2.15.0 - [24381](https://github.com/numpy/numpy/pull/24381): MAINT: Fix codespaces setup.sh script - [24403](https://github.com/numpy/numpy/pull/24403): ENH: Vendor meson for multi-target build support - [24404](https://github.com/numpy/numpy/pull/24404): BLD: vendor meson-python to make the Windows builds with SIMD\... - [24405](https://github.com/numpy/numpy/pull/24405): BLD, SIMD: The meson CPU dispatcher implementation - [24406](https://github.com/numpy/numpy/pull/24406): MAINT: Remove versioneer Checksums MD5 875d02016f215f8ce2513453393f0089 numpy-1.26.0b1-cp310-cp310-macosx_10_9_x86_64.whl 7df1856729096fbbbbb82b58c1695810 numpy-1.26.0b1-cp310-cp310-macosx_11_0_arm64.whl 928037510906572ecadb154b8089853f numpy-1.26.0b1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 93fb7c8a0e7af169c9bf42d8bfa17c2c numpy-1.26.0b1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl a865069d224bf3830671de8e1f374344 numpy-1.26.0b1-cp310-cp310-musllinux_1_1_x86_64.whl c53d1d8cb653fc08bd3f931e4c965430 numpy-1.26.0b1-cp310-cp310-win_amd64.whl c7e212fbb7e64231747c6c8aac0f8678 numpy-1.26.0b1-cp311-cp311-macosx_10_9_x86_64.whl f2df03cdaee283c1f7486d2f66e497dd numpy-1.26.0b1-cp311-cp311-macosx_11_0_arm64.whl 8af359b78166474b7a621a482f3073fd 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numpy-1.26.0b1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 8aefe8ab1228e00146e5ae88290c7fdb8221aef45b357aed7f3dff6ac3b3b25a numpy-1.26.0b1-pp39-pypy39_pp73-win_amd64.whl c67eea90827e1e9aa220a3fc380ce8776428deba8ac9e7c931ce7b69e8dce115 numpy-1.26.0b1.tar.gz ``` ### 1.25.2 ``` discovered after the 1.25.1 release. This is the last planned release in the 1.25.x series, the next release will be 1.26.0, which will use the meson build system and support Python 3.12. The Python versions supported by this release are 3.9-3.11. Contributors A total of 13 people contributed to this release. People with a \"+\" by their names contributed a patch for the first time. - Aaron Meurer - Andrew Nelson - Charles Harris - Kevin Sheppard - Matti Picus - Nathan Goldbaum - Peter Hawkins - Ralf Gommers - Randy Eckenrode + - Sam James + - Sebastian Berg - Tyler Reddy - dependabot\[bot\] Pull requests merged A total of 19 pull requests were merged for this release. - [24148](https://github.com/numpy/numpy/pull/24148): MAINT: prepare 1.25.x for further development - [24174](https://github.com/numpy/numpy/pull/24174): ENH: Improve clang-cl compliance - [24179](https://github.com/numpy/numpy/pull/24179): MAINT: Upgrade various build dependencies. - [24182](https://github.com/numpy/numpy/pull/24182): BLD: use `-ftrapping-math` with Clang on macOS - [24183](https://github.com/numpy/numpy/pull/24183): BUG: properly handle negative indexes in ufunc_at fast path - [24184](https://github.com/numpy/numpy/pull/24184): BUG: PyObject_IsTrue and PyObject_Not error handling in setflags - [24185](https://github.com/numpy/numpy/pull/24185): BUG: histogram small range robust - [24186](https://github.com/numpy/numpy/pull/24186): MAINT: Update meson.build files from main branch - [24234](https://github.com/numpy/numpy/pull/24234): MAINT: exclude min, max and round from `np.__all__` - [24241](https://github.com/numpy/numpy/pull/24241): MAINT: Dependabot updates - [24242](https://github.com/numpy/numpy/pull/24242): BUG: Fix the signature for np.array_api.take - [24243](https://github.com/numpy/numpy/pull/24243): BLD: update OpenBLAS to an intermeidate commit - [24244](https://github.com/numpy/numpy/pull/24244): BUG: Fix reference count leak in str(scalar). - [24245](https://github.com/numpy/numpy/pull/24245): BUG: fix invalid function pointer conversion error - [24255](https://github.com/numpy/numpy/pull/24255): BUG: Factor out slow `getenv` call used for memory policy warning - [24292](https://github.com/numpy/numpy/pull/24292): CI: correct URL in cirrus.star - [24293](https://github.com/numpy/numpy/pull/24293): BUG: Fix C types in scalartypes - [24294](https://github.com/numpy/numpy/pull/24294): BUG: do not modify the input to ufunc_at - [24295](https://github.com/numpy/numpy/pull/24295): BUG: Further fixes to indexing loop and added tests Checksums MD5 33518ccb4da8ee11f1dee4b9fef1e468 numpy-1.25.2-cp310-cp310-macosx_10_9_x86_64.whl b5cb0c3b33ef6d93ec2888f25b065636 numpy-1.25.2-cp310-cp310-macosx_11_0_arm64.whl ae027dd38bd73f09c07220b2f516f148 numpy-1.25.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 88cf69dc3c0d293492c4c7e75dccf3d8 numpy-1.25.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 3e4e3ad02375ba71ae2cd05ccd97aba4 numpy-1.25.2-cp310-cp310-musllinux_1_1_x86_64.whl f52bb644682deb26c35ddec77198b65c numpy-1.25.2-cp310-cp310-win32.whl 4944cf36652be7560a6bcd0d5d56e8ea numpy-1.25.2-cp310-cp310-win_amd64.whl 5a56e639defebb7b871c8c5613960ca3 numpy-1.25.2-cp311-cp311-macosx_10_9_x86_64.whl 3988b96944e7218e629255214f2598bd numpy-1.25.2-cp311-cp311-macosx_11_0_arm64.whl 302d65015ddd908a862fb3761a2a0363 numpy-1.25.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl e54a2e23272d1c5e5b278bd7e304c948 numpy-1.25.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl 961d390e8ccaf11b1b0d6200d2c8b1c0 numpy-1.25.2-cp311-cp311-musllinux_1_1_x86_64.whl e113865b90f97079d344100c41226fbe numpy-1.25.2-cp311-cp311-win32.whl 834a147aa1adaec97655018b882232bd numpy-1.25.2-cp311-cp311-win_amd64.whl fb55f93a8033bde854c8a2b994045686 numpy-1.25.2-cp39-cp39-macosx_10_9_x86_64.whl d96e754217d29bf045e082b695667e62 numpy-1.25.2-cp39-cp39-macosx_11_0_arm64.whl beab540edebecbb257e482dd9e498b44 numpy-1.25.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl e0d608c9e09cd8feba48567586cfefc0 numpy-1.25.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl fe1fc32c8bb005ca04b8f10ebdcff6dd numpy-1.25.2-cp39-cp39-musllinux_1_1_x86_64.whl 41df58a9935c8ed869c92307c95f02eb numpy-1.25.2-cp39-cp39-win32.whl a4371272c64493beb8b04ac46c4c1521 numpy-1.25.2-cp39-cp39-win_amd64.whl bbe051cbd5f8661dd054277f0b0f0c3d numpy-1.25.2-pp39-pypy39_pp73-macosx_10_9_x86_64.whl 3f68e6b4af6922989dc0133e37db34ee numpy-1.25.2-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl fc89421b79e8800240999d3a1d06a4d2 numpy-1.25.2-pp39-pypy39_pp73-win_amd64.whl cee1996a80032d47bdf1d9d17249c34e numpy-1.25.2.tar.gz SHA256 db3ccc4e37a6873045580d413fe79b68e47a681af8db2e046f1dacfa11f86eb3 numpy-1.25.2-cp310-cp310-macosx_10_9_x86_64.whl 90319e4f002795ccfc9050110bbbaa16c944b1c37c0baeea43c5fb881693ae1f numpy-1.25.2-cp310-cp310-macosx_11_0_arm64.whl dfe4a913e29b418d096e696ddd422d8a5d13ffb
pyup-bot commented 4 months ago

Closing this in favor of #747