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Name: python310-joblib | Distribution: openSUSE:Factory:zSystems |
Version: 1.3.2 | Vendor: openSUSE |
Release: 1.1 | Build date: Tue Nov 28 00:30:52 2023 |
Group: Unspecified | Build host: s390zl27 |
Size: 1559235 | Source RPM: python-joblib-1.3.2-1.1.src.rpm |
Packager: https://bugs.opensuse.org | |
Url: https://github.com/joblib/joblib | |
Summary: Module for using Python functions as pipeline jobs |
Joblib is a set of tools to provide lightweight pipelining in Python. In particular, joblib offers: 1. transparent disk-caching of the output values and lazy re-evaluation (memoize pattern) 2. parallel computing 3. logging and tracing of the execution Joblib can handle large data and has specific optimizations for `numpy` arrays.
BSD-3-Clause
* Sat Nov 25 2023 Dirk Müller <dmueller@suse.com> - update to 1.3.2: * FIX treat n_jobs=None as if left to its default value * FIX Init logger parent class in Parallel * MNT remove unnecessary .bck file * MTN adjust test regex for Python 3.12 improved error message * DOC add public documentation for parallel_backend * FIX flake8 new E721: type comparison * Ensure native byte order for memmap. * Drop runtime dependency on `distutils` * Add environment variable to change default parallel backend * Fix memmapping_reducer when 'os' has no attribute 'statvfs' * Move the metadata into `pyproject.toml` * TST Close client in test_pickle_in_socket * Do not swallow PicklingError * FIX Avoid collisions when caching nested functions * FIX heisenfailure in doc/memory.rst * MAINT Explicit support for Python 3.11 * MNT Use faulthandler rather than custom autokill logic * BENCH add benchmark script for n_jobs=1 * TST Fix test_nested_parallel_warnings_parent_backend for Python nogil * TST Fix test_memmapping for Python nogil * MAINT Clean deprecations * ENH make temp resource cleanup safer * MAINT Simplify warning in `_persist_input` * MNT Use full flake8 rather than flake8_diff.sh * Update Dask backend * FIX upload to codecov * MTN vendor loky 3.4.0 * MTN skip thread_bomb mitigation test on PyPy for now * High verbosity mode that prints arguments, hash and store location. * DBG try to debug the thread_bomb_mitigation test * FEA return generator, #588 stripped of unrelated changes for minimal diff review * BENCH scaling of a GridSearch with n_jobs * CLN make generator exit thread safe * FEA parallel_config context manager to allow more fine- grained control * MAINT: Be nitpicky about docs * CLN tidy logger * Give Memory.reduce_size() `items_limit` and `age_limit` options * CLN deprecate bytes_limit from Memory * FIX doc building failing download * Document parallel_config * ENH add cache_validation_callback in Memory * DOC example data DL from GH * merge all configs in pyproject.toml * fix double repeated word typos * DOC reference parallel_config instead of parallel_backend * `return_generator={True,False}` -> `return_as={'list','generator'}` * Sat Jun 10 2023 ecsos <ecsos@opensuse.org> - Add %{?sle15_python_module_pythons} * Tue Oct 11 2022 Ben Greiner <code@bnavigator.de> - Update to 1.2.0 (CVE-2022-21797, bsc#1204232) * Fix a security issue where eval(pre_dispatch) could potentially run arbitrary code. Now only basic numerics are supported. [#1327] * Make sure that joblib works even when multiprocessing is not available, for instance with Pyodide #1256 * Avoid unnecessary warnings when workers and main process delete the temporary memmap folder contents concurrently. #1263 * Vendor loky 3.1.0 with several fixes to more robustly forcibly terminate worker processes in case of a crash. #1269 * 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. #1254 * Vendor cloudpickle 2.2.0 which adds support for PyPy 3.8+. * Vendor loky 3.3.0 which fixes a bug with leaking processes in case of nested loky parallel calls and more reliability spawn the correct number of reusable workers. - Drop support-setuptools-62.patch * Wed Jul 20 2022 Steve Kowalik <steven.kowalik@suse.com> - Add patch support-setuptools-62.patch: * Support setuptools >= 62 by handling more than one warning in a test case. * Sat Oct 16 2021 Dirk Müller <dmueller@suse.com> - update to 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. * Fix joblib.Memory bug with the ignore parameter when the cached function is a decorated function. * Fix joblib.Memory to properly handle caching for functions defined interactively in a IPython session or in Jupyter notebook cell. * Update vendored loky (from version 2.9 to 3.0) and cloudpickle (from version 1.6 to 2.0) * Mon Feb 15 2021 Ben Greiner <code@bnavigator.de> - Update to 1.0.1 * dask: avoid redundant scattering of large arguments to make a more efficient use of the network resources and avoid crashing dask with "OSError: [Errno 55] No buffer space available" or "ConnectionResetError: [Errno 104] connection reset by peer". - Changees in 1.0.0 * Make joblib.hash and joblib.Memory caching system compatible with numpy >= 1.20.0. Also make it explicit in the documentation that users should now expect to have their joblib. Memory cache invalidated when either joblib or a third party library involved in the cached values definition is upgraded. In particular, users updating joblib to a release that includes this fix will see their previous cache invalidated if they contained reference to numpy objects. * Remove deprecated check_pickle argument in delayed. - Changes in 0.17.0 * Fix a spurious invalidation of Memory.cache'd functions called with Parallel under Jupyter or IPython. * Bump vendored loky to 2.9.0 and cloudpickle to 1.6.0. In particular this fixes a problem to add compat for Python 3.9. - Don't require optional NumPy for python36 tests in TW, because NumPy 1.20 dropped support for Python 3.6 (NEP 29) - Drop joblib-disable-unrelialble-tests.patch, they are already used in pytest deselection parameter. * Do the same for disable_test_on_big_endian.patch. * Sun Dec 06 2020 Benjamin Greiner <code@bnavigator.de> - BuildRequire threadpoolctl for all python3 flavors gh#openSUSE/python-rpm-macros#66 * Fri Oct 30 2020 pgajdos@suse.com - disable test_hash_numpy_noncontiguous, test_hashes_are_different_between_c_and_fortran_contiguous_arrays, test_hashes_stay_the_same_with_numpy_objects, test_non_contiguous_array_pickling [bsc#1177209] * Tue Oct 27 2020 pgajdos@suse.com - disable test_nested_loop_error_in_grandchild_resource_tracker_silent [bsc#1177209] * Mon Oct 05 2020 pgajdos@suse.com - disable yet another tests [bsc#1177209] * Tue Sep 08 2020 Guillaume GARDET <guillaume.gardet@opensuse.org> - Disable tests failing often in OBS: * joblib-disable-unrelialble-tests.patch * Fri Aug 21 2020 Michel Normand <normand@linux.vnet.ibm.com> - New disable_test_on_big_endian.patch as per upstream issue https://github.com/joblib/joblib/issues/279 * Sat Jul 18 2020 Dirk Mueller <dmueller@suse.com> - update to 0.16.0 - Fix a problem in the constructors of of Parallel backends classes that inherit from the `AutoBatchingMixin` that prevented the dask backend to properly batch short tasks. https://github.com/joblib/joblib/pull/1062 - Fix a problem in the way the joblib dask backend batches calls that would badly interact with the dask callable pickling cache and lead to wrong results or errors. https://github.com/joblib/joblib/pull/1055 - Prevent a dask.distributed bug from surfacing in joblib's dask backend during nested Parallel calls (due to joblib's auto-scattering feature) https://github.com/joblib/joblib/pull/1061 - Workaround for a race condition after Parallel calls with the dask backend that would cause low level warnings from asyncio coroutines: https://github.com/joblib/joblib/pull/1078 * Tue Jun 02 2020 Dirk Mueller <dmueller@suse.com> - update to 0.15.1: - Make joblib work on Python 3 installation that do not ship with the lzma package in their standard library. - Drop support for Python 2 and Python 3.5. All objects in ``joblib.my_exceptions`` and ``joblib.format_stack`` are now deprecated and will be removed in joblib 0.16. Note that no deprecation warning will be raised for these objects Python < 3.7. https://github.com/joblib/joblib/pull/1018 - Fix many bugs related to the temporary files and folder generated when automatically memory mapping large numpy arrays for efficient inter-process communication. In particular, this would cause `PermissionError` exceptions to be raised under Windows and large leaked files in `/dev/shm` under Linux in case of crash. https://github.com/joblib/joblib/pull/966 - Make the dask backend collect results as soon as they complete leading to a performance improvement: https://github.com/joblib/joblib/pull/1025 - Fix the number of jobs reported by ``effective_n_jobs`` when ``n_jobs=None`` called in a parallel backend context. https://github.com/joblib/joblib/pull/985 - Upgraded vendored cloupickle to 1.4.1 and loky to 2.8.0. This allows for Parallel calls of dynamically defined functions with type annotations in particular. * Thu Mar 05 2020 pgajdos@suse.com - version update to 0.14.1 - Configure the loky workers' environment to mitigate oversubsription with nested multi-threaded code in the following case: - allow for a suitable number of threads for numba (``NUMBA_NUM_THREADS``); - enable Interprocess Communication for scheduler coordination when the nested code uses Threading Building Blocks (TBB) (``ENABLE_IPC=1``) https://github.com/joblib/joblib/pull/951 - Fix a regression where the loky backend was not reusing previously spawned workers. https://github.com/joblib/joblib/pull/968 - Revert https://github.com/joblib/joblib/pull/847 to avoid using `pkg_resources` that introduced a performance regression under Windows: https://github.com/joblib/joblib/issues/965 - Improved the load balancing between workers to avoid stranglers caused by an excessively large batch size when the task duration is varying significantly (because of the combined use of ``joblib.Parallel`` and ``joblib.Memory`` with a partially warmed cache for instance). https://github.com/joblib/joblib/pull/899 - Add official support for Python 3.8: fixed protocol number in `Hasher` and updated tests. - Fix a deadlock when using the dask backend (when scattering large numpy arrays). https://github.com/joblib/joblib/pull/914 - Warn users that they should never use `joblib.load` with files from untrusted sources. Fix security related API change introduced in numpy 1.6.3 that would prevent using joblib with recent numpy versions. https://github.com/joblib/joblib/pull/879 - Upgrade to cloudpickle 1.1.1 that add supports for the upcoming Python 3.8 release among other things. https://github.com/joblib/joblib/pull/878 - Fix semaphore availability checker to avoid spawning resource trackers on module import. https://github.com/joblib/joblib/pull/893 - Fix the oversubscription protection to only protect against nested `Parallel` calls. This allows `joblib` to be run in background threads. https://github.com/joblib/joblib/pull/934 - Fix `ValueError` (negative dimensions) when pickling large numpy arrays on Windows. https://github.com/joblib/joblib/pull/920 - Upgrade to loky 2.6.0 that add supports for the setting environment variables in child before loading any module. https://github.com/joblib/joblib/pull/940 - Fix the oversubscription protection for native libraries using threadpools (OpenBLAS, MKL, Blis and OpenMP runtimes). The maximal number of threads is can now be set in children using the ``inner_max_num_threads`` in ``parallel_backend``. It defaults to ``cpu_count() // n_jobs``. https://github.com/joblib/joblib/pull/940 - deleted patches - numpy16.patch (upstreamed)
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