chore(deps): update dependency joblib to v1.5.3

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
joblib	1.3.2 → 1.5.3

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Release Notes

joblib/joblib (joblib)

v1.5.3

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• The Memory object won't overwrite an already existing .gitignore file in its
  cache directory anymore.
  #​1742

• Harden the safety checks in eval_expr(pre_dispatch) to prevent excessive
  memory allocation and potential crashes by limiting the allowed length of the
  expression and the maximum numeric value of sub-expressions and not
  evaluating expressions with non-numeric literals.
  #​1744

• Vendor cloudpickle 3.1.2 to fix a pickling problem with interactively
  defined abstract base classes and type annotations in Python 3.14+.

v1.5.2

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• Vendor loky3.5.6 fixing the resource tracker for python 3.13.7+
  #​1740

Memory:

- Ensure that temporary files managed by the ``Memory`` object do not collide
  when using the same cache directory when the cache directory is accessed
  concurrently from different nodes on a cluster with a shared filesystem.
  https://github.com/joblib/joblib/pull/1656

v1.5.1

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• Fix backend hints causing errors when no multiprocessing is present
  #​1721

• Vendor loky3.5.5 fixing the resource_tracker clean up with earlier Python
  versions. #​1724

v1.5.0

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Memory:

- Enforce ``age_limit`` is a positive timedelta for ``Memory.reduce_size``,
  to avoid silently ignoring it.
  https://github.com/joblib/joblib/pull/1613

- Remove deprecated ``bytes_limit`` argument for ``Memory``, which should
  be passed directly to ``Memory.reduce_size``.
  https://github.com/joblib/joblib/pull/1569

- Extend functionality of the ``check_call_in_cache`` method to now also
  check against cache validity. Before, it would only check for a given call
  if it is in cache memory.
  https://github.com/joblib/joblib/pull/1584

- The ``Memory`` object now automatically creates a ``.gitignore`` file in its
  cache directory, instructing git to ignore the entire folder.
  https://github.com/joblib/joblib/pull/1674

Parallel:

• Fixed a bug that caused the timeout parameter in joblib.Parallel to be
  ineffective when used along with return_as='generator_unordered'.
  #​1586

• Pretty printing of Parallel execution progress when the number of tasks is
  known. #​1608

• Make it possible to pass extra arguments to the LokyBackend and
  MultiprocessingBackend, enabling the use of initializer.
  #​1525

• Refactor and document the custom parallel backend API.
  #​1667

Maintenance:

- Drop support for Python 3.8.
  https://github.com/joblib/joblib/pull/1669

- Support for Python 3.13 free-threaded has been added.
  https://github.com/joblib/joblib/pull/1589

- Drop support for PyPy.
  https://github.com/joblib/joblib/pull/1670

- Fixed an issue affecting ``joblib.load`` calls with non-null ``mmap_mode``
  parameter when loading compressed python objects. It wrongly attempted to load
  with ``np.memmap`` anyway, resulting in python exceptions or corrupted data.
  The result now properly use in-memory ``np.array`` arrays, in accordance with
  the warnings that are emitted in this case.
  https://github.com/joblib/joblib/pull/1681

- Fix a regression in 1.3 and 1.4 that caused large big endian arrays to trigger
  a serialization error. https://github.com/joblib/joblib/issues/1545

- Added a ``ensure_native_byte_order`` parameter to ``joblib.load``. When
  ``True`` and ``mmap_mode`` is ``None``, loaded arrays are automatically coerced
  to a byte order that matches the endianness of the host system. This behavior
  has been the default since ``joblib==1.3``, and can now be disabled if the
  parameter is set to ``False`` instead. Note that setting it to ``True`` will
  raise an error if ``mmap_mode`` is not null. The default value ``'auto'`` is
  equivalent to always setting ``True`` if ``mmap_mode`` is ``None``, else always
  ``False``.  https://github.com/joblib/joblib/pull/1561

- Fix support for python 3.14 in ``hashing``, with the addition of
  an extra argument in ``Pickler._batch_setitems``.
  https://github.com/joblib/joblib/pull/1688

- Fix tests on platforms with only one CPU core.
  https://github.com/joblib/joblib/pull/1682

- Bump vendored cloudpickle to ``3.1.1`` to support Python 3.14 (dev) and
  various other fixes.

- Bump vendored loky to ``3.5.3`` to support recent Python versions without
  raising the warning on calls to `os.fork` and fix various sources of crashes
  and deadlocks.

- Use ``pickle`` protocol 5 for pickling ``numpy`` arrays with object type.
  https://github.com/joblib/joblib/pull/1682

v1.4.2

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Due to maintenance issues, 1.4.1 was not valid and we bumped the version to 1.4.2

• Fix a backward incompatible change in MemorizedFunc.call which needs to
  return the metadata. Also make sure that NotMemorizedFunc.call return
  an empty dict for metadata for consistency.
  #​1576

v1.4.0

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• Allow caching co-routines with Memory.cache.
  #​894

• 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.
  #​1539

• Ensure that errors in the task generator given to Parallel's call
  are raised in the results consumming thread.
  #​1491

• Adjust codebase to NumPy 2.0 by changing np.NaN to np.nan
  and importing byte_bounds from np.lib.array_utils.
  #​1501

• 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.
  #​1463

• dask backend now supports return_as=generator and
  return_as=generator_unordered.
  #​1520

• Vendor cloudpickle 3.0.0 and end support for Python 3.7 which has
  reached end of life.
  #​1487
  #​1515

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