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author | Leon Anavi <leon.anavi@konsulko.com> | 2022-09-19 15:41:39 +0300 |
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committer | Khem Raj <raj.khem@gmail.com> | 2022-09-19 13:55:45 -0700 |
commit | 570b706e6975b545b69d9130ed9dc4f89f0a3823 (patch) | |
tree | dff5b1ad0491991b5ad70a407cc0b588e7b9f810 /meta-python/recipes-devtools/python/python3-h5py/0001-setup.py-Fix-numpy-version.patch | |
parent | c73fbd349ae3f2bbc921d036f230c1bc4567ac14 (diff) | |
download | meta-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>
Diffstat (limited to 'meta-python/recipes-devtools/python/python3-h5py/0001-setup.py-Fix-numpy-version.patch')
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