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Hironsan / HateSonar

Hate Speech Detection Library for Python.
https://hatesonar.herokuapp.com/
MIT License
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Update joblib to 1.4.2 #319

Open pyup-bot opened 6 months ago

pyup-bot commented 6 months ago

This PR updates joblib from 1.0.1 to 1.4.2.

Changelog ### 1.4.2 ``` --------------------------- Due to maintenance issues, 1.4.1 was not valid and we bumped the version to 1.4.2 - Fix a backward incompatible change in ``MemorizedFunc.call`` which needs to return the metadata. Also make sure that ``NotMemorizedFunc.call`` return an empty dict for metadata for consistency. https://github.com/joblib/joblib/pull/1576 ``` ### 1.4.0 ``` --------------------------- - Allow caching co-routines with `Memory.cache`. https://github.com/joblib/joblib/pull/894 - 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. https://github.com/joblib/joblib/pull/1539 - Ensure that errors in the task generator given to Parallel's call are raised in the results consumming thread. https://github.com/joblib/joblib/pull/1491 - Adjust codebase to NumPy 2.0 by changing ``np.NaN`` to ``np.nan`` and importing ``byte_bounds`` from ``np.lib.array_utils``. https://github.com/joblib/joblib/pull/1501 - 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. https://github.com/joblib/joblib/pull/1463 - dask backend now supports ``return_as=generator`` and ``return_as=generator_unordered``. https://github.com/joblib/joblib/pull/1520 - Vendor cloudpickle 3.0.0 and end support for Python 3.7 which has reached end of life. https://github.com/joblib/joblib/pull/1487 https://github.com/joblib/joblib/pull/1515 ``` ### 1.3.2 ``` --------------------------- - Fix a regression in ``joblib.Parallel`` introduced in 1.3.0 where explicitly setting ``n_jobs=None`` was not interpreted as "unset". https://github.com/joblib/joblib/pull/1475 - Fix a regression in ``joblib.Parallel`` introduced in 1.3.0 where ``joblib.Parallel`` logging methods exposed from inheritance to ``joblib.Logger`` didn't work because of missing logger initialization. https://github.com/joblib/joblib/pull/1494 - Various maintenance updates to the doc, the ci and the test. https://github.com/joblib/joblib/pull/1480, https://github.com/joblib/joblib/pull/1481, https://github.com/joblib/joblib/pull/1476, https://github.com/joblib/joblib/pull/1492 ``` ### 1.3.1 ``` --------------------------- - Fix compatibility with python 3.7 by vendor loky 3.4.1 which is compatible with this version. https://github.com/joblib/joblib/pull/1472 ``` ### 1.3.0 ``` --------------------------- - Ensure native byte order for memmap arrays in ``joblib.load``. https://github.com/joblib/joblib/issues/1353 - Add ability to change default Parallel backend in tests by setting the ``JOBLIB_TESTS_DEFAULT_PARALLEL_BACKEND`` environment variable. https://github.com/joblib/joblib/pull/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 https://github.com/joblib/joblib/issues/1353 - Drop runtime dependency on ``distutils``. ``distutils`` is going away in Python 3.12 and is deprecated from Python 3.10 onwards. This import was kept around to avoid breaking scikit-learn, however it's now been long enough since scikit-learn deployed a fixed (version 1.1 was released in May 2022) that it should be safe to remove this. https://github.com/joblib/joblib/pull/1361 - A warning is raised when a pickling error occurs during caching operations. In version 1.5, this warning will be turned into an error. For all other errors, a new warning has been introduced: ``joblib.memory.CacheWarning``. https://github.com/joblib/joblib/pull/1359 - Avoid (module, name) collisions when caching nested functions. This fix changes the module name of nested functions, invalidating caches from previous versions of Joblib. https://github.com/joblib/joblib/pull/1374 - Add ``cache_validation_callback`` in :meth:`joblib.Memory.cache`, to allow custom cache invalidation based on the metadata of the function call. https://github.com/joblib/joblib/pull/1149 - Add a ``return_as`` parameter for ``Parallel``, that enables consuming results asynchronously. https://github.com/joblib/joblib/pull/1393, https://github.com/joblib/joblib/pull/1458 - Improve the behavior of ``joblib`` for ``n_jobs=1``, with simplified tracebacks and more efficient running time. https://github.com/joblib/joblib/pull/1393 - Add the ``parallel_config`` context manager to allow for more fine-grained control over the backend configuration. It should be used in place of the ``parallel_backend`` context manager. In particular, it has the advantage of not requiring to set a specific backend in the context manager. https://github.com/joblib/joblib/pull/1392, https://github.com/joblib/joblib/pull/1457 - 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. https://github.com/joblib/joblib/pull/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. https://github.com/joblib/joblib/pull/1447 - Vendor ``loky`` 3.4.0 which includes various fixes. https://github.com/joblib/joblib/pull/1422 - Various updates to the documentation and to benchmarking tools. https://github.com/joblib/joblib/pull/1343, https://github.com/joblib/joblib/pull/1348, https://github.com/joblib/joblib/pull/1411, https://github.com/joblib/joblib/pull/1451, https://github.com/joblib/joblib/pull/1427, https://github.com/joblib/joblib/pull/1400 - Move project metadata to ``pyproject.toml``. https://github.com/joblib/joblib/pull/1382, https://github.com/joblib/joblib/pull/1433 - Add more tests to improve python ``nogil`` support. https://github.com/joblib/joblib/pull/1394, https://github.com/joblib/joblib/pull/1395 ``` ### 1.2.0 ``` ------------- - Fix a security issue where ``eval(pre_dispatch)`` could potentially run arbitrary code. Now only basic numerics are supported. https://github.com/joblib/joblib/pull/1327 - Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide https://github.com/joblib/joblib/pull/1256 - Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. https://github.com/joblib/joblib/pull/1263 - 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. https://github.com/joblib/joblib/pull/1254 - 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 (https://github.com/joblib/joblib/pull/1269); - avoiding leaking worker processes in case of nested loky parallel calls; - reliability spawn the correct number of reusable workers. ``` ### 1.1.1 ``` ------------- - Fix a security issue where ``eval(pre_dispatch)`` could potentially run arbitrary code. Now only basic numerics are supported. https://github.com/joblib/joblib/pull/1327 ``` ### 1.1.0 ``` -------------- - 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. https://github.com/joblib/joblib/pull/1181 - Fix joblib.Memory bug with the ``ignore`` parameter when the cached function is a decorated function. https://github.com/joblib/joblib/pull/1165 - Fix `joblib.Memory` to properly handle caching for functions defined interactively in a IPython session or in Jupyter notebook cell. https://github.com/joblib/joblib/pull/1214 - Update vendored loky (from version 2.9 to 3.0) and cloudpickle (from version 1.6 to 2.0) https://github.com/joblib/joblib/pull/1218 ```
Links - PyPI: https://pypi.org/project/joblib - Changelog: https://data.safetycli.com/changelogs/joblib/