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diff --git a/python-intspan.spec b/python-intspan.spec new file mode 100644 index 0000000..eee8f86 --- /dev/null +++ b/python-intspan.spec @@ -0,0 +1,267 @@ +%global _empty_manifest_terminate_build 0 +Name: python-intspan +Version: 1.6.1 +Release: 1 +Summary: Sets of integers like 1,3-7,33 +License: Apache License 2.0 +URL: https://bitbucket.org/jeunice/intspan +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/16/49/4b1bcbd6b257422fe1c9f2fef3e0215b80465a5a1f80434dc8b95e096c87/intspan-1.6.1.tar.gz +BuildArch: noarch + + +%description + +| |travisci| |version| |versions| |impls| |wheel| |coverage| |br-coverage| + +.. |travisci| image:: https://api.travis-ci.org/jonathaneunice/intspan.svg + :target: http://travis-ci.org/jonathaneunice/intspan + +.. |version| image:: http://img.shields.io/pypi/v/intspan.svg?style=flat + :alt: PyPI Package latest release + :target: https://pypi.org/project/intspan + +.. |versions| image:: https://img.shields.io/pypi/pyversions/intspan.svg + :alt: Supported versions + :target: https://pypi.org/project/intspan + +.. |impls| image:: https://img.shields.io/pypi/implementation/intspan.svg + :alt: Supported implementations + :target: https://pypi.org/project/intspan + +.. |wheel| image:: https://img.shields.io/pypi/wheel/intspan.svg + :alt: Wheel packaging support + :target: https://pypi.org/project/intspan + +.. |coverage| image:: https://img.shields.io/badge/test_coverage-100%25-6600CC.svg + :alt: Test line coverage + :target: https://pypi.org/project/intspan + +.. |br-coverage| image:: https://img.shields.io/badge/branch_coverage-100%25-6600CC.svg + :alt: Test branch coverage + :target: https://pypi.org/project/intspan + +``intspan`` is a ``set`` subclass that conveniently represents sets of integers. +Sets can be created from, and displayed as, integer spans such as +``1-3,14,29,92-97`` rather than exhaustive member listings. Compare:: + + intspan('1-3,14,29,92-97') + [1, 2, 3, 14, 29, 92, 93, 94, 95, 96, 97] + +Or worse, the unsorted, non-intuitive listings that crop up with Python's +native unordered sets, such as:: + + set([96, 1, 2, 3, 97, 14, 93, 92, 29, 94, 95]) + +While they all indicate the same values, ``intspan`` output is much more compact +and comprehensible. It better divulges the contiguous nature of segments of the +collection, making it easier for humans to quickly determine the "shape" of the +data and ascertain "what's missing?" + +When iterating, ``pop()``-ing an item, or converting to a list, ``intspan`` +behaves as if it were an ordered--in fact, sorted--collection. A key +implication is that, regardless of the order in which items are added, +an ``intspan`` will always be rendered in the most compact, organized +form possible. + +The main draw is having a convenient way to specify, manage, and see output in +terms of ranges--for example, rows to process in a spreadsheet. It can also help +you quickly identify or report which items were *not* successfully processed in +a large dataset. + +There is also an ordered ``intspanlist`` type that helps specify the +ordering of a set of elements. + +See the full details on `Read the Docs +<http://intspan.readthedocs.org/en/latest/>`_. + + + + +%package -n python3-intspan +Summary: Sets of integers like 1,3-7,33 +Provides: python-intspan +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-intspan + +| |travisci| |version| |versions| |impls| |wheel| |coverage| |br-coverage| + +.. |travisci| image:: https://api.travis-ci.org/jonathaneunice/intspan.svg + :target: http://travis-ci.org/jonathaneunice/intspan + +.. |version| image:: http://img.shields.io/pypi/v/intspan.svg?style=flat + :alt: PyPI Package latest release + :target: https://pypi.org/project/intspan + +.. |versions| image:: https://img.shields.io/pypi/pyversions/intspan.svg + :alt: Supported versions + :target: https://pypi.org/project/intspan + +.. |impls| image:: https://img.shields.io/pypi/implementation/intspan.svg + :alt: Supported implementations + :target: https://pypi.org/project/intspan + +.. |wheel| image:: https://img.shields.io/pypi/wheel/intspan.svg + :alt: Wheel packaging support + :target: https://pypi.org/project/intspan + +.. |coverage| image:: https://img.shields.io/badge/test_coverage-100%25-6600CC.svg + :alt: Test line coverage + :target: https://pypi.org/project/intspan + +.. |br-coverage| image:: https://img.shields.io/badge/branch_coverage-100%25-6600CC.svg + :alt: Test branch coverage + :target: https://pypi.org/project/intspan + +``intspan`` is a ``set`` subclass that conveniently represents sets of integers. +Sets can be created from, and displayed as, integer spans such as +``1-3,14,29,92-97`` rather than exhaustive member listings. Compare:: + + intspan('1-3,14,29,92-97') + [1, 2, 3, 14, 29, 92, 93, 94, 95, 96, 97] + +Or worse, the unsorted, non-intuitive listings that crop up with Python's +native unordered sets, such as:: + + set([96, 1, 2, 3, 97, 14, 93, 92, 29, 94, 95]) + +While they all indicate the same values, ``intspan`` output is much more compact +and comprehensible. It better divulges the contiguous nature of segments of the +collection, making it easier for humans to quickly determine the "shape" of the +data and ascertain "what's missing?" + +When iterating, ``pop()``-ing an item, or converting to a list, ``intspan`` +behaves as if it were an ordered--in fact, sorted--collection. A key +implication is that, regardless of the order in which items are added, +an ``intspan`` will always be rendered in the most compact, organized +form possible. + +The main draw is having a convenient way to specify, manage, and see output in +terms of ranges--for example, rows to process in a spreadsheet. It can also help +you quickly identify or report which items were *not* successfully processed in +a large dataset. + +There is also an ordered ``intspanlist`` type that helps specify the +ordering of a set of elements. + +See the full details on `Read the Docs +<http://intspan.readthedocs.org/en/latest/>`_. + + + + +%package help +Summary: Development documents and examples for intspan +Provides: python3-intspan-doc +%description help + +| |travisci| |version| |versions| |impls| |wheel| |coverage| |br-coverage| + +.. |travisci| image:: https://api.travis-ci.org/jonathaneunice/intspan.svg + :target: http://travis-ci.org/jonathaneunice/intspan + +.. |version| image:: http://img.shields.io/pypi/v/intspan.svg?style=flat + :alt: PyPI Package latest release + :target: https://pypi.org/project/intspan + +.. |versions| image:: https://img.shields.io/pypi/pyversions/intspan.svg + :alt: Supported versions + :target: https://pypi.org/project/intspan + +.. |impls| image:: https://img.shields.io/pypi/implementation/intspan.svg + :alt: Supported implementations + :target: https://pypi.org/project/intspan + +.. |wheel| image:: https://img.shields.io/pypi/wheel/intspan.svg + :alt: Wheel packaging support + :target: https://pypi.org/project/intspan + +.. |coverage| image:: https://img.shields.io/badge/test_coverage-100%25-6600CC.svg + :alt: Test line coverage + :target: https://pypi.org/project/intspan + +.. |br-coverage| image:: https://img.shields.io/badge/branch_coverage-100%25-6600CC.svg + :alt: Test branch coverage + :target: https://pypi.org/project/intspan + +``intspan`` is a ``set`` subclass that conveniently represents sets of integers. +Sets can be created from, and displayed as, integer spans such as +``1-3,14,29,92-97`` rather than exhaustive member listings. Compare:: + + intspan('1-3,14,29,92-97') + [1, 2, 3, 14, 29, 92, 93, 94, 95, 96, 97] + +Or worse, the unsorted, non-intuitive listings that crop up with Python's +native unordered sets, such as:: + + set([96, 1, 2, 3, 97, 14, 93, 92, 29, 94, 95]) + +While they all indicate the same values, ``intspan`` output is much more compact +and comprehensible. It better divulges the contiguous nature of segments of the +collection, making it easier for humans to quickly determine the "shape" of the +data and ascertain "what's missing?" + +When iterating, ``pop()``-ing an item, or converting to a list, ``intspan`` +behaves as if it were an ordered--in fact, sorted--collection. A key +implication is that, regardless of the order in which items are added, +an ``intspan`` will always be rendered in the most compact, organized +form possible. + +The main draw is having a convenient way to specify, manage, and see output in +terms of ranges--for example, rows to process in a spreadsheet. It can also help +you quickly identify or report which items were *not* successfully processed in +a large dataset. + +There is also an ordered ``intspanlist`` type that helps specify the +ordering of a set of elements. + +See the full details on `Read the Docs +<http://intspan.readthedocs.org/en/latest/>`_. + + + + +%prep +%autosetup -n intspan-1.6.1 + +%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-intspan -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.6.1-1 +- Package Spec generated |