- update to 1.4.0:
* Allow caching co-routines with Memory.cache.
* Try to cast n_jobs to int in parallel and raise an error if
it fails. This means that n_jobs=2.3 will now result in
effective_n_jobs=2 instead of failing.
* Ensure that errors in the task generator given to Parallel's
call are raised in the results consumming thread.
* Adjust codebase to NumPy 2.0 by changing np.NaN to np.nan and
importing byte_bounds from np.lib.array_utils.
* The parameter return_as in joblib.Parallel can now be set to
generator_unordered. In this case the results will be
returned in the order of task completion rather than the
order of submission.
* dask backend now supports return_as=generator and
return_as=generator_unordered.
* Vendor cloudpickle 3.0.0 and end support for Python 3.7 which
has reached end of life.
- drop avoid-deprecated-ast.patch (upstream)