2015-02-09 15:29:26 +00:00
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#
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# spec file for package python-wrapt
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#
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2015-02-09 15:30:00 +00:00
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# Copyright (c) 2015 SUSE LINUX Products GmbH, Nuernberg, Germany.
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# Copyright (c) 2015 LISA GmbH, Bingen, Germany.
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2015-02-09 15:29:26 +00:00
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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 http://bugs.opensuse.org/
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Name: python-wrapt
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Version: 1.9.0
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Release: 0
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2015-02-09 15:30:03 +00:00
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License: BSD-2-Clause
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2015-02-09 15:29:26 +00:00
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Summary: A Python module for decorators, wrappers and monkey patching
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Url: https://github.com/GrahamDumpleton/wrapt
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Group: Development/Languages/Python
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Source: https://pypi.python.org/packages/source/w/wrapt/wrapt-%{version}.tar.gz
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BuildRequires: python-devel
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BuildRequires: python-setuptools
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BuildRoot: %{_tmppath}/%{name}-%{version}-build
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%if 0%{?suse_version} && 0%{?suse_version} <= 1110
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%{!?python_sitearch: %global python_sitearch %(python -c "from distutils.sysconfig import get_python_lib; print get_python_lib(1)")}
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%endif
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%description
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The aim of the **wrapt** module is to provide a transparent object proxy
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for Python, which can be used as the basis for the construction of function
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wrappers and decorator functions.
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The **wrapt** module focuses very much on correctness. It therefore goes
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way beyond existing mechanisms such as ``functools.wraps()`` to ensure that
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decorators preserve introspectability, signatures, type checking abilities
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etc. The decorators that can be constructed using this module will work in
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far more scenarios than typical decorators and provide more predictable and
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consistent behaviour.
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To ensure that the overhead is as minimal as possible, a C extension module
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is used for performance critical components. An automatic fallback to a
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pure Python implementation is also provided where a target system does not
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have a compiler to allow the C extension to be compiled.
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Documentation
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-------------
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For further information on the **wrapt** module see:
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* http://wrapt.readthedocs.org/
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%prep
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%setup -q -n wrapt-%{version}
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%build
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CFLAGS="%{optflags}" python setup.py build
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%install
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python setup.py install --prefix=%{_prefix} --root=%{buildroot}
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%files
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%defattr(-,root,root,-)
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%doc LICENSE README
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%{python_sitearch}/*
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%changelog
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