forked from pool/python-joblib
ba4d2ca665
- update to Release 0.13.0
* Include loky 2.4.2 with default serialization with ``cloudpickle``.
This can be tweaked with the environment variable ``LOKY_PICKLER``.
* Fix nested backend in SequentialBackend to avoid changing the default
backend to Sequential. (#792)
* Fix nested_backend behavior to avoid setting the default number of
workers to -1 when the backend is not dask. (#784)
- Update to Release 0.12.5
* Include loky 2.3.1 with better error reporting when a worker is
abruptly terminated. Also fixes spurious debug output.
* Include cloudpickle 0.5.6. Fix a bug with the handling of global
variables by locally defined functions.
- Update to Release 0.12.4
* Include loky 2.3.0 with many bugfixes, notably w.r.t. when setting
non-default multiprocessing contexts. Also include improvement on
memory management of long running worker processes and fixed issues
when using the loky backend under PyPy.
* Raises a more explicit exception when a corrupted MemorizedResult is loaded.
* Loading a corrupted cached file with mmap mode enabled would
recompute the results and return them without memmory mapping.
- Update to Release 0.12.3
* Fix joblib import setting the global start_method for multiprocessing.
* Fix MemorizedResult not picklable (#747).
* Fix Memory, MemorizedFunc and MemorizedResult round-trip pickling +
unpickling (#746).
* Fixed a regression in Memory when positional arguments are called as
kwargs several times with different values (#751).
* Integration of loky 2.2.2 that fixes issues with the selection of the
default start method and improve the reporting when calling functions
with arguments that raise an exception when unpickling.
* Prevent MemorizedFunc.call_and_shelve from loading cached results to
RAM when not necessary. Results in big performance improvements
- Update to Release 0.12.2
* Integrate loky 2.2.0 to fix regression with unpicklable arguments and
functions reported by users (#723, #643).
* Loky 2.2.0 also provides a protection against memory leaks long running
applications when psutil is installed (reported as #721).
* Joblib now includes the code for the dask backend which has been updated
to properly handle nested parallelism and data scattering at the same
time (#722).
* Restored some private API attribute and arguments
(`MemorizedResult.argument_hash` and `BatchedCalls.__init__`'s
`pickle_cache`) for backward compat. (#716, #732).
* Fix a deprecation warning message (for `Memory`'s `cachedir`) (#720).
OBS-URL: https://build.opensuse.org/request/show/663427
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-joblib?expand=0&rev=20
78 lines
2.4 KiB
RPMSpec
78 lines
2.4 KiB
RPMSpec
#
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# spec file for package python-joblib
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#
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# Copyright (c) 2019 SUSE LINUX GmbH, Nuernberg, Germany.
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#
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# All modifications and additions to the file contributed by third parties
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# remain the property of their copyright owners, unless otherwise agreed
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# upon. The license for this file, and modifications and additions to the
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# file, is the same license as for the pristine package itself (unless the
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# license for the pristine package is not an Open Source License, in which
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# case the license is the MIT License). An "Open Source License" is a
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# license that conforms to the Open Source Definition (Version 1.9)
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# published by the Open Source Initiative.
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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#
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-joblib
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Version: 0.13.0
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Release: 0
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Summary: Module for using Python functions as pipeline jobs
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License: BSD-3-Clause
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Group: Development/Languages/Python
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URL: https://github.com/joblib/joblib
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Source: https://files.pythonhosted.org/packages/source/j/joblib/joblib-%{version}.tar.gz
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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Recommends: python-numpy
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BuildArch: noarch
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BuildRequires: %{python_module lz4}
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BuildRequires: %{python_module numpy}
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BuildRequires: %{python_module psutil}
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BuildRequires: %{python_module pytest}
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Requires: python-lz4
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Recommends: python-numpy
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Recommends: python-psutil
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%python_subpackages
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%description
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Joblib is a set of tools to provide lightweight pipelining in
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Python. In particular, joblib offers:
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1. transparent disk-caching of the output values and lazy re-evaluation
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(memoize pattern)
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2. parallel computing
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3. logging and tracing of the execution
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Joblib can handle large data and has specific optimizations for `numpy` arrays.
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%prep
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%setup -q -n joblib-%{version}
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%build
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitelib}
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%check
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export LANG=en_US.UTF-8
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%{python_expand export PYTHONPATH=%{buildroot}%{$python_sitelib}
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py.test-%{$python_bin_suffix} joblib -k 'not test_no_blas_crash_or_freeze_with_subprocesses'
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}
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%files %{python_files}
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%license LICENSE.txt
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%doc README.rst
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%{python_sitelib}/joblib-%{version}-py*.egg-info
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%{python_sitelib}/joblib/
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%changelog
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