Update dependency joblib to v1.2.0

[renovate]

This PR contains the following updates:

Package	Change	Age	Adoption	Passing	Confidence
joblib (source)	==1.1.0 -> ==1.2.0

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Release Notes

joblib/joblib

v1.2.0

Compare Source

• Fix a security issue where eval(pre_dispatch) could potentially run
  arbitrary code. Now only basic numerics are supporthttps://github.com/joblib/joblib/pull/1327ull/1327

• Make sure that joblib works even when multiprocessing is not available,
  for instance with Pyodhttps://github.com/joblib/joblib/pull/1256ull/1256

• Avoid unnecessary warnings when workers and main process delete
  the temporary memmap folder contents concurrenthttps://github.com/joblib/joblib/pull/1263ull/1263

• Vendor loky 3.1.0 with several fixes to more robustly forcibly terminate
  worker processes in case of a crahttps://github.com/joblib/joblib/pull/1269ull/1269

• Fix memory alignment bug for pickles containing numpy arrays.
  This is especially important when loading the pickle with
  mmap_mode != None as the resulting numpy.memmap object
  would not be able to correct the misalignment without performing
  a memory copy.
  This bug would cause invalid computation and segmentation faults
  with native code that would directly access the underlying data
  buffer of a numpy array, for instance C/C++/Cython code compiled
  with older GCC versions or some old OpenBLAS written in plathttps://github.com/joblib/joblib/pull/1254thub.com/Make sure arrays are bytes aligned in joblib pickles joblib/joblib#1254

• Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+.

• Vendor loky 3.3.0 which fixes a bug with leaking processes in case of
  nested loky parallel calls and more reliability spawn the correct
  number of reusable workers.

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