- 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)

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