chore(deps): update dependency joblib to v1.6.0

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
joblib	1.4.2 → 1.6.0

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Release Notes

joblib/joblib (joblib)

v1.6.0

Compare Source

• Fix caching of functions whose source cannot be retrieved, such as functions
  defined in a notebook cell. Their identity fell back to
  str(hash(func.__code__)), which is salted by PYTHONHASHSEED and so
  differed between processes. A worker reading the func_code.py written by
  another one concluded that the function had changed and wiped the whole
  cache directory for it, discarding results computed by its peers.
  func_code.py is also no longer rewritten in place, so a reader can no
  longer catch it half-written and draw the same conclusion.
  #​1694

• Drop python 3.9 support. The oldest supported Python version
  is now Python 3.10.
  #​1773

• Fix eval_expr (used to evaluate the pre_dispatch argument of
  Parallel) to raise a ValueError as documented instead of leaking a
  ZeroDivisionError for expressions that divide or take a modulo by zero.
  #​1810

• MemorizedResult now forwards mmap_mode to its store backend, so a
  cached array reconstructed from a location is memory-mapped as requested
  instead of being loaded fully into memory.
  #​1799

• Unvendor cloudpickle to more quickly benefit from maintenance releases
  of cloudpickle
  #​1775

• Fix Memory.cache for functions with a keyword-only argument that has a
  default declared before a keyword-only argument without a default.
  #​1731

• Fix behavior of filter_args on some precise cases.
  #​1800

• Fix a concurrency error that could happen with unordered generator.
  #​1789

• Fix: dump() now accepts any input os.PathLike object to be consistent with
  load.
  #​1812

• The documentation now uses pydata sphinx theme. Furthermore, optional dependencies
  test and docs have been added to pyproject.toml.
  #​1774

• Vendor loky 3.6.0
  #​1843

v1.5.3

Compare Source

• 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

Compare Source

• 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

Compare Source

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

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