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python310-joblib-1.4.2-1.2 RPM for noarch

From OpenSuSE Tumbleweed for noarch

Name: python310-joblib Distribution: openSUSE Tumbleweed
Version: 1.4.2 Vendor: openSUSE
Release: 1.2 Build date: Thu May 9 10:36:55 2024
Group: Unspecified Build host: reproducible
Size: 1879192 Source RPM: python-joblib-1.4.2-1.2.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.

Provides

Requires

License

BSD-3-Clause

Changelog

* Thu May 09 2024 Dirk Müller <dmueller@suse.com>
  - update to 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
* Sat Apr 20 2024 Dirk Müller <dmueller@suse.com>
  - update to 1.4.0:
    * Allow caching co-routines with Memory.cache.
    * 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.
    * Ensure that errors in the task generator given to Parallel's
      call are raised in the results consumming thread.
    * Adjust codebase to NumPy 2.0 by changing np.NaN to np.nan and
      importing byte_bounds from np.lib.array_utils.
    * 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.
    * dask backend now supports return_as=generator and
      return_as=generator_unordered.
    * Vendor cloudpickle 3.0.0 and end support for Python 3.7 which
      has reached end of life.
  - drop avoid-deprecated-ast.patch (upstream)
* 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

Files

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