build: bump the minimal group across 1 directory with 3 updates

[dependabot]

Bumps the minimal group with 3 updates in the / directory: importlib-metadata, numpy and psutil.

Updates importlib-metadata from 7.1.0 to 7.2.0

Changelog

Sourced from importlib-metadata's changelog.

v7.2.0

Features

• python/cpython#109829
• Updated fixtures for python/cpython#120801.

Commits

• 311cef4 Finalize
• 963f643 gh-120801: Update fixtures.
• 5eee2ff Merge https://github.com/jaraco/skeleton
• a595a0f Rename extras to align with core metadata spec.
• e8f6869 Merge https://github.com/jaraco/skeleton
• 67aab15 Revert "Allow macos on Python 3.8 to fail as GitHub CI has dropped support."
• 42b4610 Merge https://github.com/jaraco/skeleton
• bcf8f07 Move project.urls to appear in the order that ini2toml generates it. Remove p...
• 744cf2a Allow macos on Python 3.8 to fail as GitHub CI has dropped support.
• d34801b Migrated config to pyproject.toml using jaraco.develop.migrate-config and ini...
• Additional commits viewable in compare view

Updates numpy from 1.26.4 to 2.0.0

Release notes

Sourced from numpy's releases.

v2.0.0

NumPy 2.0.0 Release Notes

NumPy 2.0.0 is the first major release since 2006. It is the result of 11 months of development since the last feature release and is the work of 212 contributors spread over 1078 pull requests. It contains a large number of exciting new features as well as changes to both the Python and C APIs.

This major release includes breaking changes that could not happen in a regular minor (feature) release - including an ABI break, changes to type promotion rules, and API changes which may not have been emitting deprecation warnings in 1.26.x. Key documents related to how to adapt to changes in NumPy 2.0, in addition to these release notes, include:

• The numpy-2-migration-guide
• The Numpy 2.0-specific advice in for downstream package authors

Highlights

Highlights of this release include:

• New features:
  • A new variable-length string dtype, numpy.dtypes.StringDType and a new numpy.strings namespace with performant ufuncs for string operations,
  • Support for float32 and longdouble in all numpy.fft functions,
  • Support for the array API standard in the main numpy namespace.
• Performance improvements:
  • Sorting functions sort, argsort, partition, argpartition have been accelerated through the use of the Intel x86-simd-sort and Google Highway libraries, and may see large (hardware-specific) speedups,
  • macOS Accelerate support and binary wheels for macOS >=14, with significant performance improvements for linear algebra operations on macOS, and wheels that are about 3 times smaller,
  • numpy.char fixed-length string operations have been accelerated by implementing ufuncs that also support numpy.dtypes.StringDType in addition to the fixed-length string dtypes,
  • A new tracing and introspection API, numpy.lib.introspect.opt_func_info, to determine which hardware-specific kernels are available and will be dispatched to.
  • numpy.save now uses pickle protocol version 4 for saving arrays with object dtype, which allows for pickle objects larger than 4GB and improves saving speed by about 5% for large arrays.
• Python API improvements:

... (truncated)

Commits

• 1d49c7f Merge pull request #26698 from charris/prepare-2.0.0
• 2103511 DOC: Remove duplicate in author list.
• db8030e BUG: Change cibuildwheel version [wheel build]
• 1a68264 REL: Prepare for the NumPy 2.0.0 release [wheel build]
• c8665ba Merge pull request #26696 from charris/backport-26582
• 103f4dd Merge pull request #26697 from charris/backport-25963
• c193dcd Merge pull request #26695 from charris/backport-26667
• 8fa8191 BUG: Fix bug in numpy.pad() (#25963)
• ece3559 BUG: weighted nanpercentile, nanquantile and multi-dim q (#26582)
• b31e195 BUG: Adds asanyarray to start of linalg.cross (#26667)
• Additional commits viewable in compare view

Updates psutil from 5.9.8 to 6.0.0

Changelog

Sourced from psutil's changelog.

6.0.0 2024-06-18

Enhancements

• 2109_: maxfile and maxpath fields were removed from the namedtuple returned by disk_partitions()_. Reason: on network filesystems (NFS) this can potentially take a very long time to complete.
• 2366_, [Windows]: log debug message when using slower process APIs.
• 2375_, [macOS]: provide arm64 wheels. (patch by Matthieu Darbois)
• 2396_: process_iter()_ no longer pre-emptively checks whether PIDs have been reused. This makes process_iter()_ around 20x times faster.
• 2396_: a new psutil.process_iter.cache_clear() API can be used the clear process_iter()_ internal cache.
• 2401_, Support building with free-threaded CPython 3.13.
• 2407_: Process.connections()_ was renamed to Process.net_connections()_. The old name is still available, but it's deprecated (triggers a DeprecationWarning) and will be removed in the future.
• 2425_: [Linux]: provide aarch64 wheels. (patch by Matthieu Darbois / Ben Raz)

Bug fixes

• 2250_, [NetBSD]: Process.cmdline()_ sometimes fail with EBUSY. It usually happens for long cmdlines with lots of arguments. In this case retry getting the cmdline for up to 50 times, and return an empty list as last resort.
• 2254_, [Linux]: offline cpus raise NotImplementedError in cpu_freq() (patch by Shade Gladden)
• 2272_: Add pickle support to psutil Exceptions.
• 2359_, [Windows], [CRITICAL]: pid_exists()_ disagrees with Process_ on whether a pid exists when ERROR_ACCESS_DENIED.
• 2360_, [macOS]: can't compile on macOS < 10.13. (patch by Ryan Schmidt)
• 2362_, [macOS]: can't compile on macOS 10.11. (patch by Ryan Schmidt)
• 2365_, [macOS]: can't compile on macOS < 10.9. (patch by Ryan Schmidt)
• 2395_, [OpenBSD]: pid_exists()_ erroneously return True if the argument is a thread ID (TID) instead of a PID (process ID).
• 2412_, [macOS]: can't compile on macOS 10.4 PowerPC due to missing MNT_ constants.

Porting notes

Version 6.0.0 introduces some changes which affect backward compatibility:

• 2109_: the namedtuple returned by disk_partitions()_' no longer has maxfile and maxpath fields.
• 2396_: process_iter()_ no longer pre-emptively checks whether PIDs have been reused. If you want to check for PID reusage you are supposed to use Process.is_running()_ against the yielded Process_ instances. That will also automatically remove reused PIDs from process_iter()_ internal cache.
• 2407_: Process.connections()_ was renamed to Process.net_connections()_. The old name is still available, but it's deprecated (triggers a

... (truncated)

Commits

• 3d5522a release
• 5b30ef4 Add aarch64 manylinux wheels (#2425)
• 1d092e7 test subprocesses: sleep() with an interval of 0.1 to make the test process m...
• 5f80c12 Fix #2412, [macOS]: can't compile on macOS 10.4 PowerPC due to missing MNT_...
• 89b6096 process_iter(): use another global var to keep track of reused PIDs
• 9421bf8 openbsd: skip test if cmdline() returns [] due to EBUSY
• 4b1a054 Fix #2250 / NetBSD / cmdline: retry on EBUSY. (#2421)
• 20be5ae ruff: enable and fix 'unused variable' rule
• 5530985 chore(ci): update actions (#2417)
• 1c7cb0a Don't build with limited API for 3.13 free-threaded build (#2402)
• Additional commits viewable in compare view

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[dependabot]

The following labels could not be found: Maintenance, Dependencies.

[germa89]

Let's skip numpy update for the moment.

[germa89]

@dependabot ignore numpy major version

[dependabot]

OK, I won't notify you about version 2.x.x of numpy again, unless you unignore it.

[germa89]

Related issue: #3196

[dependabot]

Looks like these dependencies are updatable in another way, so this is no longer needed.

[germa89]

@dependabot unignore numpy

[dependabot]

No dependency name (numpy) or ignore conditions found to unignore.