!2 upgrade to 7.5
From: @mywaaagh_admin Reviewed-by: @shinwell_hu Signed-off-by: @shinwell_hu
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Name: python-pickleshare
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Version: 0.7.4
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Release: 11
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Summary: A small 'shelve' like datastore with concurrency support
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License: MIT
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URL: https://github.com/pickleshare/pickleshare
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Source0: https://files.pythonhosted.org/packages/source/p/pickleshare/pickleshare-%{version}.tar.gz
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%global _empty_manifest_terminate_build 0
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Name: python-pickleshare
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Version: 0.7.5
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Release: 1
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Summary: Tiny 'shelve'-like database with concurrency support
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License: MIT
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URL: https://github.com/pickleshare/pickleshare
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Source0: https://files.pythonhosted.org/packages/d8/b6/df3c1c9b616e9c0edbc4fbab6ddd09df9535849c64ba51fcb6531c32d4d8/pickleshare-0.7.5.tar.gz
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BuildArch: noarch
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BuildArch: noarch
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BuildRequires: python2-setuptools python2-devel python3-setuptools python3-devel
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Requires: python3-pathlib2
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%description
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PickleShare - a small 'shelve' like datastore with concurrency support.
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PickleShare - a small 'shelve' like datastore with concurrency support
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Like shelve, a PickleShareDB object acts like a normal dictionary.
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Unlike shelve, many processes can access the database simultaneously.
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Changing a value in database is immediately visible to other processes
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accessing the same database.
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Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
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many processes can access the database simultaneously. Changing a value in
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database is immediately visible to other processes accessing the same database.
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Concurrency is possible because the values are stored in separate files.
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Hence the "database" is a directory where all files are governed
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by PickleShare.
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Concurrency is possible because the values are stored in separate files. Hence
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the "database" is a directory where *all* files are governed by PickleShare.
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%package -n python2-pickleshare
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Summary: A small 'shelve' like datastore with concurrency support
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%{?python_provide:%python_provide python2-pickleshare}
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Example usage::
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%description -n python2-pickleshare
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PickleShare - a small 'shelve' like datastore with concurrency support.
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from pickleshare import *
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db = PickleShareDB('~/testpickleshare')
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db.clear()
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print("Should be empty:",db.items())
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db['hello'] = 15
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db['aku ankka'] = [1,2,313]
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db['paths/are/ok/key'] = [1,(5,46)]
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print(db.keys())
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Like shelve, a PickleShareDB object acts like a normal dictionary.
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Unlike shelve, many processes can access the database simultaneously.
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Changing a value in database is immediately visible to other processes
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accessing the same database.
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This module is certainly not ZODB, but can be used for low-load
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(non-mission-critical) situations where tiny code size trumps the
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advanced features of a "real" object database.
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Concurrency is possible because the values are stored in separate files.
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Hence the "database" is a directory where all files are governed
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by PickleShare.
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Installation guide: pip install pickleshare
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%package -n python3-pickleshare
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Summary: A small 'shelve' like datastore with concurrency support
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%{?python_provide:%python_provide python3-pickleshare}
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%package -n python3-pickleshare
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Summary: Tiny 'shelve'-like database with concurrency support
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Provides: python-pickleshare
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BuildRequires: python3-devel
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BuildRequires: python3-setuptools
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BuildRequires: python3-pip
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%description -n python3-pickleshare
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PickleShare - a small 'shelve' like datastore with concurrency support.
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PickleShare - a small 'shelve' like datastore with concurrency support
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Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
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many processes can access the database simultaneously. Changing a value in
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database is immediately visible to other processes accessing the same database.
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Concurrency is possible because the values are stored in separate files. Hence
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the "database" is a directory where *all* files are governed by PickleShare.
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Example usage::
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from pickleshare import *
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db = PickleShareDB('~/testpickleshare')
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db.clear()
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print("Should be empty:",db.items())
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db['hello'] = 15
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db['aku ankka'] = [1,2,313]
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db['paths/are/ok/key'] = [1,(5,46)]
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print(db.keys())
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This module is certainly not ZODB, but can be used for low-load
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(non-mission-critical) situations where tiny code size trumps the
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advanced features of a "real" object database.
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Installation guide: pip install pickleshare
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%package help
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Summary: Development documents and examples for pickleshare
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Provides: python3-pickleshare-doc
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%description help
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PickleShare - a small 'shelve' like datastore with concurrency support
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Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
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many processes can access the database simultaneously. Changing a value in
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database is immediately visible to other processes accessing the same database.
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Concurrency is possible because the values are stored in separate files. Hence
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the "database" is a directory where *all* files are governed by PickleShare.
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Example usage::
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from pickleshare import *
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db = PickleShareDB('~/testpickleshare')
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db.clear()
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print("Should be empty:",db.items())
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db['hello'] = 15
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db['aku ankka'] = [1,2,313]
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db['paths/are/ok/key'] = [1,(5,46)]
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print(db.keys())
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This module is certainly not ZODB, but can be used for low-load
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(non-mission-critical) situations where tiny code size trumps the
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advanced features of a "real" object database.
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Installation guide: pip install pickleshare
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Like shelve, a PickleShareDB object acts like a normal dictionary.
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Unlike shelve, many processes can access the database simultaneously.
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Changing a value in database is immediately visible to other processes
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accessing the same database.
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Concurrency is possible because the values are stored in separate files.
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Hence the "database" is a directory where all files are governed
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by PickleShare.
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%prep
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%autosetup -n pickleshare-%{version} -p1
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rm -rf pickleshare.egg-info
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sed -i 's/\/usr\/bin\/env python/\/usr\/bin\/python/' pickleshare.py
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%autosetup -n pickleshare-0.7.5
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%build
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%py2_build
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%py3_build
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%install
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%py3_install
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%py2_install
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install -d -m755 %{buildroot}/%{_pkgdocdir}
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if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
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if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
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if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
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if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
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pushd %{buildroot}
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if [ -d usr/lib ]; then
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find usr/lib -type f -printf "\"/%h/%f\"\n" >> filelist.lst
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fi
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if [ -d usr/lib64 ]; then
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find usr/lib64 -type f -printf "\"/%h/%f\"\n" >> filelist.lst
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fi
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if [ -d usr/bin ]; then
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find usr/bin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
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fi
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if [ -d usr/sbin ]; then
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find usr/sbin -type f -printf "\"/%h/%f\"\n" >> filelist.lst
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fi
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touch doclist.lst
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if [ -d usr/share/man ]; then
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find usr/share/man -type f -printf "\"/%h/%f.gz\"\n" >> doclist.lst
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fi
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popd
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mv %{buildroot}/filelist.lst .
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mv %{buildroot}/doclist.lst .
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%files -n python2-pickleshare
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%license LICENSE
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%{python2_sitelib}/pickleshare.py*
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%{python2_sitelib}/pickleshare-%{version}-py?.?.egg-info
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%files -n python3-pickleshare -f filelist.lst
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%dir %{python3_sitelib}/*
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%files -n python3-pickleshare
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%license LICENSE
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%{python3_sitelib}/__pycache__/*
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%{python3_sitelib}/pickleshare.py
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%{python3_sitelib}/pickleshare-%{version}-py?.?.egg-info
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%files help -f doclist.lst
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%{_docdir}/*
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%changelog
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* Sat Jul 15 2023 lichaoran <pkwarcraft@hotmail.com> - 0.7.5-1
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- Package Spec generated
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* Thu Mar 5 2020 lingsheng <lingsheng@huawei.com> - 0.7.4-11
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- Package init
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