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#
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# spec file for package python-wrapt
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#
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2021-03-22 10:45:17 +00:00
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# Copyright (c) 2021 SUSE LLC
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# Copyright (c) 2015 LISA GmbH, Bingen, Germany.
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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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2019-03-11 13:29:34 +00:00
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# Please submit bugfixes or comments via https://bugs.opensuse.org/
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2016-09-01 07:28:49 +00:00
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#
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2015-02-09 15:29:26 +00:00
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2017-03-15 15:12:50 +00:00
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%{?!python_module:%define python_module() python-%{**} python3-%{**}}
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Name: python-wrapt
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- update to 1.13.2:
* Note that the next signficant release of `wrapt` will drop support for
Python 2.7 and Python 3.5.
* Fix Python version constraint so PyPi classifier for ``pip`` requires
Python 2.7 or Python 3.5+.
* When a reference to a class method was taken out of a class, and then
wrapped in a function wrapper, and called, the class type was not being
passed as the instance argument, but as the first argument in args,
with the instance being ``None``. The class type should have been passed
as the instance argument.
* If supplying an adapter function for a signature changing decorator
using input in the form of a function argument specification, name lookup
exceptions would occur where the adaptor function had annotations which
referenced non builtin Python types. Although the issues have been
addressed where using input data in the format usually returned by
``inspect.getfullargspec()`` to pass the function argument specification,
you can still have problems when supplying a function signature as
string. In the latter case only Python builtin types can be referenced
in annotations.
* When a decorator was applied on top of a data/non-data descriptor in a
class definition, the call to the special method ``__set_name__()`` to
notify the descriptor of the variable name was not being propogated. Note
that this issue has been addressed in the ``FunctionWrapper`` used by
``@wrapt.decorator`` but has not been applied to the generic
``ObjectProxy`` class. If using ``ObjectProxy`` directly to construct a
custom wrapper which is applied to a descriptor, you will need to
propogate the ``__set_name__()`` call yourself if required.
* The ``issubclass()`` builtin method would give incorrect results when used
with a class which had a decorator applied to it. Note that this has only
been able to be fixed for Python 3.7+. Also, due to what is arguably a
OBS-URL: https://build.opensuse.org/package/show/devel:languages:python/python-wrapt?expand=0&rev=27
2021-10-26 21:16:57 +00:00
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Version: 1.13.2
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Release: 0
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Summary: A Python module for decorators, wrappers and monkey patching
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License: BSD-2-Clause
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Group: Development/Languages/Python
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URL: https://github.com/GrahamDumpleton/wrapt
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Source: https://github.com/GrahamDumpleton/wrapt/archive/%{version}.tar.gz
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BuildRequires: %{python_module devel}
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BuildRequires: %{python_module pytest}
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BuildRequires: %{python_module setuptools}
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BuildRequires: fdupes
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BuildRequires: python-rpm-macros
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%python_subpackages
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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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%autosetup -p1 -n wrapt-%{version}
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%build
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export CFLAGS="%{optflags}"
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%python_build
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%install
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%python_install
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%python_expand %fdupes %{buildroot}%{$python_sitearch}
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%check
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%pytest_arch
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%files %{python_files}
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%license LICENSE
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%doc README.rst docs/changes.rst
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%{python_sitearch}/wrapt
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%{python_sitearch}/wrapt-%{version}*-info
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%changelog
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