python-wrapt 1.14.1-ok2 source package in openKylin

Changelog

python-wrapt (1.14.1-ok2) yangtze; urgency=medium

  * Fix command 'install' has no such option 'install_layout'.

 -- sufang <email address hidden>  Wed, 16 Nov 2022 10:02:03 +0800

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Uploaded by:
sufang
Sponsored by:
Cibot
Uploaded to:
Yangtze V1.0
Original maintainer:
Openkylin Developers
Architectures:
any all
Section:
python
Urgency:
Medium Urgency

Publishing See full publishing history

Series Pocket Published Component Section
Yangtze V1.0 release main python
Yangtze V1.0 proposed main python

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python-wrapt_1.14.1-ok2.debian.tar.xz 4.1 KiB cce0ac19b1fa420a61906205cb632bf024900d4d7d674624ca908e532136d439
python-wrapt_1.14.1-ok2.dsc 2.0 KiB 734f13e6f498eee215b878d61e287794de1f974029dc87aa5663568e44829053

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Binary packages built by this source

python-wrapt-doc: 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.

python3-wrapt: 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.

python3-wrapt-dbgsym: debug symbols for python3-wrapt