python-wrapt 1.15.0-2build1 source package in Ubuntu

Changelog

python-wrapt (1.15.0-2build1) noble; urgency=medium

  * No-change rebuild with Python 3.12 as supported version

 -- Graham Inggs <email address hidden>  Tue, 31 Oct 2023 17:55:18 +0000

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Uploaded by:
Graham Inggs
Uploaded to:
Noble
Original maintainer:
Debian OpenStack
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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python-wrapt_1.15.0.orig.tar.xz 106.4 KiB 20b278b8f45f2daafad221f998aa21ce89f3ffabe14583495949ab435501f6e0
python-wrapt_1.15.0-2build1.debian.tar.xz 5.7 KiB ca4fd744f320ef019a982993f46d1fcba329ba3fbc86922f7bc70e56462c1505
python-wrapt_1.15.0-2build1.dsc 2.2 KiB d14b36ec848694b44e6652afd4417dfc58f84954cd2c8bb3b2cae7809e6ea3b7

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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