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.
joblib/joblib#1576
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.
joblib/joblib#1539
Ensure that errors in the task generator given to Parallel's call
are raised in the results consumming thread.
joblib/joblib#1491
Adjust codebase to NumPy 2.0 by changing np.NaN to np.nan
and importing byte_bounds from np.lib.array_utils.
joblib/joblib#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.
joblib/joblib#1463
dask backend now supports return_as=generator and
return_as=generator_unordered.
joblib/joblib#1520
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Bumps joblib from 1.2.0 to 1.4.2.
Release notes
Sourced from joblib's releases.
... (truncated)
Changelog
Sourced from joblib's changelog.
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Commits
d46857a
RELEASE 1.4.2 - bugfix release (#1579)1787fb7
MTN back to dev mode118ad37
RELEASE 1.4.1 - bugfix release (#1578)398d8ee
FIX revert MemorizedFunc.call API change (#1576)2be8dcd
DOC fix return_as="generator_unordered" in docs (#1574)4db39eb
CLN fix spelling typo with codespell (#1571)1b0d1f4
TST add a non-regression test ensuring conservation of byte order during IPC ...59659e0
MTN remove deprecated bytes_limit (#1569)f57a721
MTN handle changes from master->main + remove master process terminologyba1d3da
MTN back to dev modeDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting
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