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diff --git a/python-multiprocessing-on-dill.spec b/python-multiprocessing-on-dill.spec new file mode 100644 index 0000000..9d981cf --- /dev/null +++ b/python-multiprocessing-on-dill.spec @@ -0,0 +1,129 @@ +%global _empty_manifest_terminate_build 0 +Name: python-multiprocessing_on_dill +Version: 3.5.0a4 +Release: 1 +Summary: A friendly fork of multiprocessing which uses dill instead of pickle +License: PSFL +URL: https://github.com/sixty-north/multiprocessing_on_dill +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/86/4d/4b135e2e5cd0194eb29f2ed36e9a77a07596787a9a8ac2279bd4445398f2/multiprocessing_on_dill-3.5.0a4.tar.gz +BuildArch: noarch + + +%description +This project is a friendly fork – for Python 3 – of the Python Standard Library `multiprocessing +<https://docs.python.org/3/library/multiprocessing.html>`_ module, which uses the third-party +`dill <https://pypi.python.org/pypi/dill>`_ serializer instead of the standard ``pickle`` serializer. This overcomes +many shortcomings of ``pickle`` which prevent multiprocessing being used with lambdas, closures and other useful Python +objects. +The easiest way to use ``multiprocessing_on_dill`` in place of ``multiprocessing`` is simply to replace any import +statements like this:: + import multiprocessing +with:: + import multiprocessing_on_dill as multiprocessing +and import statements like this:: + from multiprocessing import Pool +with:: + from multiprocessing_on_dill import Pool +With such import changes in place, it will now be possible to use functions like ``Pool.map()`` with lambdas:: + pool = Pool(12) + result = pool.map(lambda x: x*x, range(10000)) +Everything else should be identical to the Python version. +You can determine from which version of the Python Standard Library ``multiprocessing_on_dill`` has been forked, by +examining the ``multiprocessing_on_dill.__version__`` attribute. + +%package -n python3-multiprocessing_on_dill +Summary: A friendly fork of multiprocessing which uses dill instead of pickle +Provides: python-multiprocessing_on_dill +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-multiprocessing_on_dill +This project is a friendly fork – for Python 3 – of the Python Standard Library `multiprocessing +<https://docs.python.org/3/library/multiprocessing.html>`_ module, which uses the third-party +`dill <https://pypi.python.org/pypi/dill>`_ serializer instead of the standard ``pickle`` serializer. This overcomes +many shortcomings of ``pickle`` which prevent multiprocessing being used with lambdas, closures and other useful Python +objects. +The easiest way to use ``multiprocessing_on_dill`` in place of ``multiprocessing`` is simply to replace any import +statements like this:: + import multiprocessing +with:: + import multiprocessing_on_dill as multiprocessing +and import statements like this:: + from multiprocessing import Pool +with:: + from multiprocessing_on_dill import Pool +With such import changes in place, it will now be possible to use functions like ``Pool.map()`` with lambdas:: + pool = Pool(12) + result = pool.map(lambda x: x*x, range(10000)) +Everything else should be identical to the Python version. +You can determine from which version of the Python Standard Library ``multiprocessing_on_dill`` has been forked, by +examining the ``multiprocessing_on_dill.__version__`` attribute. + +%package help +Summary: Development documents and examples for multiprocessing_on_dill +Provides: python3-multiprocessing_on_dill-doc +%description help +This project is a friendly fork – for Python 3 – of the Python Standard Library `multiprocessing +<https://docs.python.org/3/library/multiprocessing.html>`_ module, which uses the third-party +`dill <https://pypi.python.org/pypi/dill>`_ serializer instead of the standard ``pickle`` serializer. This overcomes +many shortcomings of ``pickle`` which prevent multiprocessing being used with lambdas, closures and other useful Python +objects. +The easiest way to use ``multiprocessing_on_dill`` in place of ``multiprocessing`` is simply to replace any import +statements like this:: + import multiprocessing +with:: + import multiprocessing_on_dill as multiprocessing +and import statements like this:: + from multiprocessing import Pool +with:: + from multiprocessing_on_dill import Pool +With such import changes in place, it will now be possible to use functions like ``Pool.map()`` with lambdas:: + pool = Pool(12) + result = pool.map(lambda x: x*x, range(10000)) +Everything else should be identical to the Python version. +You can determine from which version of the Python Standard Library ``multiprocessing_on_dill`` has been forked, by +examining the ``multiprocessing_on_dill.__version__`` attribute. + +%prep +%autosetup -n multiprocessing_on_dill-3.5.0a4 + +%build +%py3_build + +%install +%py3_install +install -d -m755 %{buildroot}/%{_pkgdocdir} +if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi +if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi +if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi +if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi +pushd %{buildroot} +if [ -d usr/lib ]; then + find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/lib64 ]; then + find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/bin ]; then + find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst +fi +if [ -d usr/sbin ]; then + find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst +fi +touch doclist.lst +if [ -d usr/share/man ]; then + find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst +fi +popd +mv %{buildroot}/filelist.lst . +mv %{buildroot}/doclist.lst . + +%files -n python3-multiprocessing_on_dill -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Tue Apr 11 2023 Python_Bot <Python_Bot@openeuler.org> - 3.5.0a4-1 +- Package Spec generated |