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<title>linux/meta-openembedded.git/meta-python/recipes-devtools/python/python3-joblib_1.2.0.bb, branch scarthgap</title>
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<updated>2023-07-07T15:59:27+00:00</updated>
<entry>
<title>python3-joblib: upgrade 1.2.0 -&gt; 1.3.1</title>
<updated>2023-07-07T15:59:27+00:00</updated>
<author>
<name>Wang Mingyu</name>
<email>wangmy@fujitsu.com</email>
</author>
<published>2023-07-07T03:13:42+00:00</published>
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Changelog:
============
-Fix compatibility with python 3.7 by vendor loky 3.4.1 which is compatible
  with this version. #1472
-Ensure native byte order for memmap arrays in joblib.load. #1353
-Add ability to change default Parallel backend in tests by setting the
 JOBLIB_TESTS_DEFAULT_PARALLEL_BACKEND environment variable. #1356
-Fix temporary folder creation in joblib.Parallel on Linux subsystems on
 Windows which do have /dev/shm but don't have the os.statvfs function #1353
-Drop runtime dependency on distutils. distutils is going away in Python 3.12
 and is deprecated from Python 3.10 onwards.
-A warning is raised when a pickling error occurs during caching operations.
-Avoid (module, name) collisions when caching nested functions.
-Add cache_validation_callback in :meth:'joblib.Memory.cache', to allow custom
 cache invalidation based on the metadata of the function call. #1149
-Add a return_as parameter for Parallel, that enables consuming results
 asynchronously. #1393, #1458
-Improve the behavior of joblib for n_jobs=1, with simplified tracebacks and
 more efficient running time. #1393
-Add the parallel_config context manager to allow for more fine-grained control
 over the backend configuration.
-Add items_limit and age_limit in :meth:'joblib.Memory.reduce_size' to make it
 easy to limit the number of items and remove items that have not been accessed
 for a long time in the cache. #1200
-Deprecate bytes_limit in Memory as this is not automatically enforced, the
 limit can be directly passed to :meth:'joblib.Memory.reduce_size' which needs
 to be called to actually enforce the limit. #1447
-Vendor loky 3.4.0 which includes various fixes. #1422
-Various updates to the documentation and to benchmarking tools.
-Move project metadata to pyproject.toml. #1382, #1433
-Add more tests to improve python nogil support. #1394, #1395

Signed-off-by: Wang Mingyu &lt;wangmy@fujitsu.com&gt;
Signed-off-by: Khem Raj &lt;raj.khem@gmail.com&gt;
</content>
</entry>
<entry>
<title>python3-joblib: Upgrade 1.1.0 -&gt; 1.2.0</title>
<updated>2022-09-19T20:55:45+00:00</updated>
<author>
<name>Leon Anavi</name>
<email>leon.anavi@konsulko.com</email>
</author>
<published>2022-09-19T12:41:39+00:00</published>
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<content type='text'>
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 &lt;leon.anavi@konsulko.com&gt;
Signed-off-by: Khem Raj &lt;raj.khem@gmail.com&gt;
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</entry>
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