python-joblib
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Source Files
Filename | Size | Changed |
---|---|---|
also-filter-new-fork-warning.patch | 0000000857 857 Bytes | |
joblib-1.4.0.tar.gz | 0002115863 2.02 MB | |
python-joblib.changes | 0000024671 24.1 KB | |
python-joblib.spec | 0000004450 4.35 KB |
Revision 25 (latest revision is 26)
Ana Guerrero (anag+factory)
accepted
request 1169420
from
Dirk Mueller (dirkmueller)
(revision 25)
- 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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