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| Name: python312-joblib | Distribution: openSUSE Tumbleweed |
| Version: 1.3.2 | Vendor: openSUSE |
| Release: 2.3 | Build date: Tue Nov 28 04:55:52 2023 |
| Group: Unspecified | Build host: reproducible |
| Size: 2399391 | Source RPM: python-joblib-1.3.2-2.3.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
* Tue Nov 28 2023 Steve Kowalik <steven.kowalik@suse.com>
- Add patch avoid-deprecated-ast.patch:
* Avoid deprecated ast classes.
- Add patch also-filter-new-fork-warning.patch:
* Filter DeprecationWarning due to calling fork() with multiprocessing.
- Switch to pyproject macros.
* 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]
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