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Source: python-wrapt
Section: python
Priority: optional
Maintainer: Debian OpenStack <team+openstack@tracker.debian.org>
Uploaders:
Thomas Goirand <zigo@debian.org>,
Build-Depends:
debhelper-compat (= 11),
dh-python,
openstack-pkg-tools (>= 99~),
python3-all,
python3-all-dev,
python3-pytest,
python3-setuptools,
python3-six,
python3-sphinx,
python3-sphinx-rtd-theme,
Standards-Version: 4.1.1
Vcs-Browser: https://salsa.debian.org/openstack-team/python/python-wrapt
Vcs-Git: https://salsa.debian.org/openstack-team/python/python-wrapt.git
Homepage: https://github.com/GrahamDumpleton/wrapt
Package: python-wrapt-doc
Architecture: all
Section: doc
Depends:
${misc:Depends},
${sphinxdoc:Depends},
Description: decorators, wrappers and monkey patching. - doc
The aim of the wrapt module is to provide a transparent object proxy for
Python, which can be used as the basis for the construction of function
wrappers and decorator functions.
.
The wrapt module focuses very much on correctness. It therefore goes way
beyond existing mechanisms such as functools.wraps() to ensure that decorators
preserve introspectability, signatures, type checking abilities etc. The
decorators that can be constructed using this module will work in far more
scenarios than typical decorators and provide more predictable and consistent
behaviour.
.
To ensure that the overhead is as minimal as possible, a C extension module is
used for performance critical components. An automatic fallback to a pure
Python implementation is also provided where a target system does not have a
compiler to allow the C extension to be compiled.
.
This package contains the documentation.
Package: python3-wrapt
Architecture: any
Depends:
python3-six,
${misc:Depends},
${python3:Depends},
${shlibs:Depends},
Description: decorators, wrappers and monkey patching. - Python 3.x
The aim of the wrapt module is to provide a transparent object proxy for
Python, which can be used as the basis for the construction of function
wrappers and decorator functions.
.
The wrapt module focuses very much on correctness. It therefore goes way
beyond existing mechanisms such as functools.wraps() to ensure that decorators
preserve introspectability, signatures, type checking abilities etc. The
decorators that can be constructed using this module will work in far more
scenarios than typical decorators and provide more predictable and consistent
behaviour.
.
To ensure that the overhead is as minimal as possible, a C extension module is
used for performance critical components. An automatic fallback to a pure
Python implementation is also provided where a target system does not have a
compiler to allow the C extension to be compiled.
.
This package contains the Python 3.x module.
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