!1 package init

Merge pull request !1 from ultra_planet/new
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openeuler-ci-bot 2020-03-06 19:34:18 +08:00 committed by Gitee
commit 8b299c389a
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Name: python-pickleshare
Version: 0.7.4
Release: 11
Summary: A small 'shelve' like datastore with concurrency support
License: MIT
URL: https://github.com/pickleshare/pickleshare
Source0: https://files.pythonhosted.org/packages/source/p/pickleshare/pickleshare-%{version}.tar.gz
BuildArch: noarch
BuildRequires: python2-setuptools python2-devel python3-setuptools python3-devel
%description
PickleShare - a small 'shelve' like datastore with concurrency support.
Like shelve, a PickleShareDB object acts like a normal dictionary.
Unlike shelve, many processes can access the database simultaneously.
Changing a value in database is immediately visible to other processes
accessing the same database.
Concurrency is possible because the values are stored in separate files.
Hence the "database" is a directory where all files are governed
by PickleShare.
%package -n python2-pickleshare
Summary: A small 'shelve' like datastore with concurrency support
%{?python_provide:%python_provide python2-pickleshare}
%description -n python2-pickleshare
PickleShare - a small 'shelve' like datastore with concurrency support.
Like shelve, a PickleShareDB object acts like a normal dictionary.
Unlike shelve, many processes can access the database simultaneously.
Changing a value in database is immediately visible to other processes
accessing the same database.
Concurrency is possible because the values are stored in separate files.
Hence the "database" is a directory where all files are governed
by PickleShare.
%package -n python3-pickleshare
Summary: A small 'shelve' like datastore with concurrency support
%{?python_provide:%python_provide python3-pickleshare}
%description -n python3-pickleshare
PickleShare - a small 'shelve' like datastore with concurrency support.
Like shelve, a PickleShareDB object acts like a normal dictionary.
Unlike shelve, many processes can access the database simultaneously.
Changing a value in database is immediately visible to other processes
accessing the same database.
Concurrency is possible because the values are stored in separate files.
Hence the "database" is a directory where all files are governed
by PickleShare.
%prep
%autosetup -n pickleshare-%{version} -p1
rm -rf pickleshare.egg-info
sed -i 's/\/usr\/bin\/env python/\/usr\/bin\/python/' pickleshare.py
%build
%py2_build
%py3_build
%install
%py3_install
%py2_install
%files -n python2-pickleshare
%license LICENSE
%{python2_sitelib}/pickleshare.py*
%{python2_sitelib}/pickleshare-%{version}-py?.?.egg-info
%files -n python3-pickleshare
%license LICENSE
%{python3_sitelib}/__pycache__/*
%{python3_sitelib}/pickleshare.py
%{python3_sitelib}/pickleshare-%{version}-py?.?.egg-info
%changelog
* Thu Mar 5 2020 lingsheng <lingsheng@huawei.com> - 0.7.4-11
- Package init