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phst-randomizer / ph-randomizer

Randomizer for The Legend of Zelda: Phantom Hourglass
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Update dependency numpy to ~=1.26.1 #406

Closed renovate[bot] closed 8 months ago

renovate[bot] commented 8 months ago

Mend Renovate

This PR contains the following updates:

Package Change Age Adoption Passing Confidence
numpy (source, changelog) ~=1.25.2 -> ~=1.26.1 age adoption passing confidence

Release Notes

numpy/numpy (numpy) ### [`v1.26.1`](https://togithub.com/numpy/numpy/releases/tag/v1.26.1) [Compare Source](https://togithub.com/numpy/numpy/compare/v1.26.0...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 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://togithub.com/numpy/numpy/pull/24742): MAINT: Update cibuildwheel version - [#​24748](https://togithub.com/numpy/numpy/pull/24748): MAINT: fix version string in wheels built with setup.py - [#​24771](https://togithub.com/numpy/numpy/pull/24771): BLD, BUG: Fix build failure for host flags e.g. `-march=native`... - [#​24773](https://togithub.com/numpy/numpy/pull/24773): DOC: Updated the f2py docs to remove a note on -fimplicit-none - [#​24776](https://togithub.com/numpy/numpy/pull/24776): BUG: Fix SIMD f32 trunc test on s390x when baseline is none - [#​24785](https://togithub.com/numpy/numpy/pull/24785): BLD: add libquadmath to licences and other tweaks ([#​24753](https://togithub.com/numpy/numpy/issues/24753)) - [#​24786](https://togithub.com/numpy/numpy/pull/24786): MAINT: Activate `use-compute-credits` for Cirrus. - [#​24803](https://togithub.com/numpy/numpy/pull/24803): BLD: updated vendored-meson/meson for mips64 fix - [#​24804](https://togithub.com/numpy/numpy/pull/24804): MAINT: fix licence path win - [#​24813](https://togithub.com/numpy/numpy/pull/24813): BUG: Fix order of Windows OS detection macros. - [#​24831](https://togithub.com/numpy/numpy/pull/24831): BUG, SIMD: use scalar cmul on bad Apple clang x86\_64 ([#​24828](https://togithub.com/numpy/numpy/issues/24828)) - [#​24840](https://togithub.com/numpy/numpy/pull/24840): BUG: Fix DATA statements for f2py - [#​24870](https://togithub.com/numpy/numpy/pull/24870): API: Add `NumpyUnpickler` for backporting - [#​24872](https://togithub.com/numpy/numpy/pull/24872): MAINT: Xfail test failing on PyPy. - [#​24879](https://togithub.com/numpy/numpy/pull/24879): BLD: fix math func feature checks, fix FreeBSD build, add CI... - [#​24899](https://togithub.com/numpy/numpy/pull/24899): ENH: meson: implement BLAS/LAPACK auto-detection and many CI... - [#​24902](https://togithub.com/numpy/numpy/pull/24902): DOC: add a 1.26.1 release notes section for BLAS/LAPACK build... - [#​24906](https://togithub.com/numpy/numpy/pull/24906): MAINT: Backport `numpy._core` stubs. Remove `NumpyUnpickler` - [#​24911](https://togithub.com/numpy/numpy/pull/24911): MAINT: Bump pypa/cibuildwheel from 2.16.1 to 2.16.2 - [#​24912](https://togithub.com/numpy/numpy/pull/24912): BUG: loongarch doesn't use REAL(10) #### Checksums ##### MD5 bda38de1a047dd9fdddae16c0d9fb358 numpy-1.26.1-cp310-cp310-macosx_10_9_x86_64.whl 196d2e39047da64ab28e177760c95461 numpy-1.26.1-cp310-cp310-macosx_11_0_arm64.whl 9d25010a7bf50e624d2fed742790afbd numpy-1.26.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl 9b22fa3d030807f0708007d9c0659f65 numpy-1.26.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl eea626b8b930acb4b32302a9e95714f5 numpy-1.26.1-cp310-cp310-musllinux_1_1_x86_64.whl 3c40ef068f50d2ac2913c5b9fa1233fa numpy-1.26.1-cp310-cp310-win32.whl 315c251d2f284af25761a37ce6dd4d10 numpy-1.26.1-cp310-cp310-win_amd64.whl ebdd5046937df50e9f54a6d38c5775dd numpy-1.26.1-cp311-cp311-macosx_10_9_x86_64.whl 682f9beebe8547f205d6cdc8ff96a984 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1.26.0 Release Notes 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 - f2py fixes, meson and bind(x) support - Support for the updated Accelerate BLAS/LAPACK library The Python versions supported in this release are 3.9-3.12. #### New Features ##### Array API v2022.12 support in `numpy.array_api` `numpy.array_api` now full supports the [v2022.12 version](https://data-apis.org/array-api/2022.12) of the array API standard. Note that this does not yet include the optional `fft` extension in the standard. ([gh-23789](https://togithub.com/numpy/numpy/pull/23789)) ##### Support for the updated Accelerate BLAS/LAPACK library Support for the updated Accelerate BLAS/LAPACK library, including ILP64 (64-bit integer) support, in macOS 13.3 has been added. This brings arm64 support, and significant performance improvements of up to 10x for commonly used linear algebra operations. When Accelerate is selected at build time, the 13.3+ version will automatically be used if available. ([gh-24053](https://togithub.com/numpy/numpy/pull/24053)) ##### `meson` backend for `f2py` `f2py` in compile mode (i.e. `f2py -c`) now accepts the `--backend meson` option. This is the default option for Python `3.12` on-wards. Older versions will still default to `--backend distutils`. To support this in realistic use-cases, in compile mode `f2py` takes a `--dep` flag one or many times which maps to `dependency()` calls in the `meson` backend, and does nothing in the `distutils` backend. There are no changes for users of `f2py` only as a code generator, i.e. without `-c`. ([gh-24532](https://togithub.com/numpy/numpy/pull/24532)) ##### `bind(c)` support for `f2py` Both functions and subroutines can be annotated with `bind(c)`. `f2py` will handle both the correct type mapping, and preserve the unique label for other `C` interfaces. **Note:** `bind(c, name = 'routine_name_other_than_fortran_routine')` is not honored by the `f2py` bindings by design, since `bind(c)` with the `name` is meant to guarantee only the same name in `C` and `Fortran`, not in `Python` and `Fortran`. ([gh-24555](https://togithub.com/numpy/numpy/pull/24555)) #### Improvements ##### `iso_c_binding` support for `f2py` Previously, users would have to define their own custom `f2cmap` file to use type mappings defined by the Fortran2003 `iso_c_binding` intrinsic module. These type maps are now natively supported by `f2py` ([gh-24555](https://togithub.com/numpy/numpy/pull/24555)) #### 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://togithub.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 20 people contributed to this release. People with a "+" by their names contributed a patch for the first time. - [@​DWesl](https://togithub.com/DWesl) - Albert Steppi + - Bas van Beek - Charles Harris - Developer-Ecosystem-Engineering - Filipe Laíns + - Jake Vanderplas - Liang Yan + - Marten van Kerkwijk - Matti Picus - Melissa Weber Mendonça - Namami Shanker - Nathan Goldbaum - Ralf Gommers - Rohit Goswami - Sayed Adel - Sebastian Berg - Stefan van der Walt - Tyler Reddy - Warren Weckesser #### Pull requests merged A total of 59 pull requests were merged for this release. - [#​24305](https://togithub.com/numpy/numpy/pull/24305): MAINT: Prepare 1.26.x branch for development - [#​24308](https://togithub.com/numpy/numpy/pull/24308): MAINT: Massive update of files from main for numpy 1.26 - [#​24322](https://togithub.com/numpy/numpy/pull/24322): CI: fix wheel builds on the 1.26.x branch - [#​24326](https://togithub.com/numpy/numpy/pull/24326): BLD: update openblas to newer version - [#​24327](https://togithub.com/numpy/numpy/pull/24327): TYP: Trim down the `_NestedSequence.__getitem__` signature - [#​24328](https://togithub.com/numpy/numpy/pull/24328): BUG: fix choose refcount leak - [#​24337](https://togithub.com/numpy/numpy/pull/24337): TST: fix running the test suite in builds without BLAS/LAPACK - [#​24338](https://togithub.com/numpy/numpy/pull/24338): BUG: random: Fix generation of nan by dirichlet. - [#​24340](https://togithub.com/numpy/numpy/pull/24340): MAINT: Dependabot updates from main - [#​24342](https://togithub.com/numpy/numpy/pull/24342): MAINT: Add back NPY_RUN_MYPY_IN_TESTSUITE=1 - [#​24353](https://togithub.com/numpy/numpy/pull/24353): MAINT: Update `extbuild.py` from main. - [#​24356](https://togithub.com/numpy/numpy/pull/24356): TST: fix distutils tests for deprecations in recent setuptools... - [#​24375](https://togithub.com/numpy/numpy/pull/24375): MAINT: Update cibuildwheel to version 2.15.0 - [#​24381](https://togithub.com/numpy/numpy/pull/24381): MAINT: Fix codespaces setup.sh script - [#​24403](https://togithub.com/numpy/numpy/pull/24403): ENH: Vendor meson for multi-target build support - [#​24404](https://togithub.com/numpy/numpy/pull/24404): BLD: vendor meson-python to make the Windows builds with SIMD... - [#​24405](https://togithub.com/numpy/numpy/pull/24405): BLD, SIMD: The meson CPU dispatcher implementation - [#​24406](https://togithub.com/numpy/numpy/pull/24406): MAINT: Remove versioneer - [#​24409](https://togithub.com/numpy/numpy/pull/24409): REL: Prepare for the NumPy 1.26.0b1 release. - [#​24453](https://togithub.com/numpy/numpy/pull/24453): MAINT: Pin upper version of sphinx. - [#​24455](https://togithub.com/numpy/numpy/pull/24455): ENH: Add prefix to \_ALIGN Macro - [#​24456](https://togithub.com/numpy/numpy/pull/24456): BUG: cleanup warnings - [#​24460](https://togithub.com/numpy/numpy/pull/24460): MAINT: Upgrade to spin 0.5 - [#​24495](https://togithub.com/numpy/numpy/pull/24495): BUG: `asv dev` has been removed, use `asv run`. - [#​24496](https://togithub.com/numpy/numpy/pull/24496): BUG: Fix meson build failure due to unchanged inplace auto-generated... - [#​24521](https://togithub.com/numpy/numpy/pull/24521): BUG: fix issue with git-version script, needs a shebang to run - [#​24522](https://togithub.com/numpy/numpy/pull/24522): BUG: Use a default assignment for git_hash - [#​24524](https://togithub.com/numpy/numpy/pull/24524): BUG: fix NPY_cast_info error handling in choose - [#​24526](https://togithub.com/numpy/numpy/pull/24526): BUG: Fix common block handling in f2py - [#​24541](https://togithub.com/numpy/numpy/pull/24541): CI,TYP: Bump mypy to 1.4.1 - [#​24542](https://togithub.com/numpy/numpy/pull/24542): BUG: Fix assumed length f2py regression - [#​24544](https://togithub.com/numpy/numpy/pull/24544): MAINT: Harmonize fortranobject - [#​24545](https://togithub.com/numpy/numpy/pull/24545): TYP: add kind argument to numpy.isin type specification - [#​24561](https://togithub.com/numpy/numpy/pull/24561): BUG: fix comparisons between masked and unmasked structured arrays - [#​24590](https://togithub.com/numpy/numpy/pull/24590): CI: Exclude import libraries from list of DLLs on Cygwin. - [#​24591](https://togithub.com/numpy/numpy/pull/24591): BLD: fix `_umath_linalg` dependencies - [#​24594](https://togithub.com/numpy/numpy/pull/24594): MAINT: Stop testing on ppc64le. - [#​24602](https://togithub.com/numpy/numpy/pull/24602): BLD: meson-cpu: fix SIMD support on platforms with no features - [#​24606](https://togithub.com/numpy/numpy/pull/24606): BUG: Change Cython `binding` directive to "False". - [#​24613](https://togithub.com/numpy/numpy/pull/24613): ENH: Adopt new macOS Accelerate BLAS/LAPACK Interfaces, including... - [#​24614](https://togithub.com/numpy/numpy/pull/24614): DOC: Update building docs to use Meson - [#​24615](https://togithub.com/numpy/numpy/pull/24615): TYP: Add the missing `casting` keyword to `np.clip` - [#​24616](https://togithub.com/numpy/numpy/pull/24616): TST: convert cython test from setup.py to meson - [#​24617](https://togithub.com/numpy/numpy/pull/24617): MAINT: Fixup `fromnumeric.pyi` - [#​24622](https://togithub.com/numpy/numpy/pull/24622): BUG, ENH: Fix `iso_c_binding` type maps and fix `bind(c)`... - [#​24629](https://togithub.com/numpy/numpy/pull/24629): TYP: Allow `binary_repr` to accept any object implementing... - [#​24630](https://togithub.com/numpy/numpy/pull/24630): TYP: Explicitly declare `dtype` and `generic` hashable - [#​24637](https://togithub.com/numpy/numpy/pull/24637): ENH: Refactor the typing "reveal" tests using `typing.assert_type` - [#​24638](https://togithub.com/numpy/numpy/pull/24638): MAINT: Bump actions/checkout from 3.6.0 to 4.0.0 - [#​24647](https://togithub.com/numpy/numpy/pull/24647): ENH: `meson` backend for `f2py` - [#​24648](https://togithub.com/numpy/numpy/pull/24648): MAINT: Refactor partial load Workaround for Clang - [#​24653](https://togithub.com/numpy/numpy/pull/24653): REL: Prepare for the NumPy 1.26.0rc1 release. - [#​24659](https://togithub.com/numpy/numpy/pull/24659): BLD: allow specifying the long double format to avoid the runtime... - [#​24665](https://togithub.com/numpy/numpy/pull/24665): BLD: fix bug in random.mtrand extension, don't link libnpyrandom - [#​24675](https://togithub.com/numpy/numpy/pull/24675): BLD: build wheels for 32-bit Python on Windows, using MSVC - [#​24700](https://togithub.com/numpy/numpy/pull/24700): BLD: fix issue with compiler selection during cross compilation - [#​24701](https://togithub.com/numpy/numpy/pull/24701): BUG: Fix data stmt handling for complex values in f2py - [#​24707](https://togithub.com/numpy/numpy/pull/24707): TYP: Add annotations for the py3.12 buffer protocol - [#​24718](https://togithub.com/numpy/numpy/pull/24718): DOC: fix a few doc build issues on 1.26.x and update `spin docs`... #### Checksums ##### MD5 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