py-numba: updated to 0.55.0

Version 0.55.0

This release includes a significant number important dependency upgrades along with a number of new features and bug fixes.

Version 0.54.1

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窶冱 vendored cloudpickle module resetting dynamic classes and a few minor testing/infrastructure related problems.

Version 0.53.1

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:

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

Version 0.53.0

This release continues to add new features, bug fixes and stability improvements to Numba.

Highlights of core changes:

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

Version 0.52.0

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

(adam)