Fix byte order inconsistency issue during deserialization using joblib.load
in cross-endian environment: the numpy arrays are now always loaded to
use the system byte order, independently of the byte order of the system
that serialized the pickle.
joblib/joblib#1181
Fix joblib.Memory bug with the ignore parameter when the cached function
is a decorated function.
joblib/joblib#1165
Fix joblib.Memory to properly handle caching for functions defined
interactively in a IPython session or in Jupyter notebook cell.
joblib/joblib#1214
Update vendored loky (from version 2.9 to 3.0) and cloudpickle (from
version 1.6 to 2.0)
joblib/joblib#1218
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ggirelli
commented
3 years ago
Bumps joblib from 1.0.1 to 1.1.0.
Changelog
Sourced from joblib's changelog.
Commits
d9302a1Release 1.1.0dbf0a57MAINT: bump dependencies in CI (#1227)0730b77Handle new naming scheme in newer Jupyter notebook (#1214)9c6cc4cUpdate of mmap_mode description (#1203)1384882MAINT fix setup.py warning (#1191)96c8e1cVendor up (#1218)0426d6bENH Add check_call_in_cache method to check cache without calling function (#...0fa2cb9Fixing byte-order consistency/mismatch for cross-endian platform (#1181)e96152fAdd ReadTheDocs badge in README21ef823Remove CircleCI. (#1189)Dependabot 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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