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authorLeon Anavi <leon.anavi@konsulko.com>2022-09-19 15:41:39 +0300
committerKhem Raj <raj.khem@gmail.com>2022-09-19 13:55:45 -0700
commit570b706e6975b545b69d9130ed9dc4f89f0a3823 (patch)
treedff5b1ad0491991b5ad70a407cc0b588e7b9f810 /meta-python/recipes-devtools/python/python3-h5py/0001-setup.py-Fix-numpy-version.patch
parentc73fbd349ae3f2bbc921d036f230c1bc4567ac14 (diff)
downloadmeta-openembedded-570b706e6975b545b69d9130ed9dc4f89f0a3823.tar.gz
python3-joblib: Upgrade 1.1.0 -> 1.2.0
Upgrade to release 1.2.0: - Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. - Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide. - Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. - Fix memory alignment bug for pickles containing numpy arrays. This is especially important when loading the pickle with mmap_mode != None as the resulting numpy.memmap object would not be able to correct the misalignment without performing a memory copy. This bug would cause invalid computation and segmentation faults with native code that would directly access the underlying data buffer of a numpy array, for instance C/C++/Cython code compiled with older GCC versions or some old OpenBLAS written in platform specific assembly. - Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+. - Vendor loky 3.3.0 which fixes several bugs including: * robustly forcibly terminating worker processes in case of a crash * avoiding leaking worker processes in case of nested loky parallel calls * reliability spawn the correct number of reusable workers Signed-off-by: Leon Anavi <leon.anavi@konsulko.com> Signed-off-by: Khem Raj <raj.khem@gmail.com>
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