Bump numpy from 1.26.4 to 2.1.0

pyiron / pylammpsmpi

Parallel Lammps Python interface - control a mpi4py parallel LAMMPS instance from a serial python process or a Jupyter notebook

BSD 3-Clause "New" or "Revised" License

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Bumps numpy from 1.26.4 to 2.1.0.

Release notes

Sourced from numpy's releases.

2.1.0 (Aug 18, 2024)

NumPy 2.1.0 Release Notes

NumPy 2.1.0 provides support for the upcoming Python 3.13 release and drops support for Python 3.9. In addition to the usual bug fixes and updated Python support, it helps get us back into our usual release cycle after the extended development of 2.0. The highlights for this release are:

Support for the array-api 2023.12 standard.

Support for Python 3.13.

Preliminary support for free threaded Python 3.13.

Python versions 3.10-3.13 are supported in this release.

New functions

New function numpy.unstack

A new function np.unstack(array, axis=...) was added, which splits an array into a tuple of arrays along an axis. It serves as the inverse of [numpy.stack]{.title-ref}.

(gh-26579)

Deprecations

The fix_imports keyword argument in numpy.save is deprecated. Since NumPy 1.17, numpy.save uses a pickle protocol that no longer supports Python 2, and ignored fix_imports keyword. This keyword is kept only for backward compatibility. It is now deprecated.

(gh-26452)

Passing non-integer inputs as the first argument of [bincount]{.title-ref} is now deprecated, because such inputs are silently cast to integers with no warning about loss of precision.

(gh-27076)

Expired deprecations

Scalars and 0D arrays are disallowed for numpy.nonzero and numpy.ndarray.nonzero.

(gh-26268)

set_string_function internal function was removed and PyArray_SetStringFunction was stubbed out.

... (truncated)

Commits

2f7fe64 Merge pull request #27236 from charris/prepare-2.1.0
b6f434f REL: Prepare for the NumPy 2.1.0 release [wheel build]
3cf9394 Merge pull request #27234 from charris/backport-25984
7443dcc Merge pull request #27233 from charris/backport-27223
85b1cab BUG: Allow fitting of degree zero polynomials with Polynomial.fit
395a81d DOC: reword discussion about shared arrays to hopefully be clearer
5af2e96 Move NUMUSERTYPES thread safety discussion to legacy DType API docs
d902c24 DOC: add docs on thread safety in NumPy
c080180 Merge pull request #27229 from charris/backport-27226
44ce7e8 BUG: Fix PyArray_ZeroContiguousBuffer (resize) with struct dtypes
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Summary by CodeRabbit

New Features
- Upgraded the numpy library to version 2.1.0, introducing potential enhancements and optimizations.
Bug Fixes
- Addressed compatibility concerns by updating the numpy version, which may resolve issues present in the previous version.
Documentation
- Updated environment configuration files to reflect the new version of numpy across multiple environments.

Walkthrough

The primary change across the project involves an upgrade of the numpy package from version 1.26.4 to 2.1.0 in several configuration files. This update may introduce new features and improvements, as well as potential breaking changes that could affect compatibility with existing code. The remaining dependencies in each file have been left unchanged, indicating a focused effort on enhancing the numpy integration.

Files	Change Summary
`.ci_support/environment-mpich.yml`, `.ci_support/environment-openmpi.yml`, `binder/environment.yml`, `pyproject.toml`	Updated `numpy` from `1.26.4` to `2.1.0`, indicating a major version upgrade.

Files

Change Summary

.ci_support/environment-mpich.yml, .ci_support/environment-openmpi.yml, binder/environment.yml, pyproject.toml

Updated numpy from 1.26.4 to 2.1.0, indicating a major version upgrade.

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Embracing changes, hip-hip-hooray! 🌼✨

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pyiron / pylammpsmpi