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This is a maintenance release to support NumPy 1.22 and Apple M1

Full Changelog: https://github.com/numba/numba/blob/0.55.2/CHANGE_LOG

This is a bugfix release that closes all the remaining issues from the accelerated release of 0.55.0 and also any release critical regressions discovered since then.

This release includes a significant number important dependency upgrades along with a number of new features and bug fixes. Most importantly, this release adds support for Python 3.10 and NumPy 1.21.

This is a bugfix release for 0.54.0. It fixes a regression in structured array type handling, a potential leak on initialization failure in the CUDA target, a regression caused by Numba’s vendored cloudpickle module resetting dynamic classes and a few minor testing/infrastructure related problems.

Please see details in the release note: https://numba.readthedocs.io/en/0.54.1/release-notes.html#version-0-54-1-7-october-2021

This release includes a significant number of new features, important refactoring, critical bug fixes and a number of dependency upgrades.

Please see details in the release notes at https://numba.readthedocs.io/en/0.54.0/release-notes.html

This is a bugfix release for 0.53.0. It contains the following four pull-requests which fix two critical regressions and two build failures reported by the openSuSe team:

• PR #6851 set non-reported llvm timing values to 0.0
• PR #6837 Ignore warnings from packaging module when testing import behaviour.
• PR #6828 Fix regression in CUDA: Set stream in mapped and managed array device_setup
• PR #6826 Fix regression on gufunc serialization

Highlights of core changes:

• Support for Python 3.9
• Function sub-typing
• Initial support for dynamic gufuncs (i.e. from @guvectorize)
• Parallel Accelerator (@njit(parallel=True) now supports Fortran ordered arrays

Please find details in the change log and the announcement post on Discourse.

This release focuses on performance improvements, but also adds some new features and contains numerous bug fixes and stability improvements.

Please find details in the change log and the announcement post on Discourse.