python-wrapt 1.15.0-2 source package in Ubuntu

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python-wrapt (1.15.0-2) unstable; urgency=medium

  * Uploading to unstable.

 -- Thomas Goirand <email address hidden>  Wed, 04 Oct 2023 23:03:45 +0200

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Uploaded by:
Debian OpenStack
Uploaded to:
Sid
Original maintainer:
Debian OpenStack
Architectures:
any all
Section:
misc
Urgency:
Medium Urgency

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python-wrapt_1.15.0-2.dsc 2.2 KiB 8c1cbfaf8f7380d43c99e34e2d22b7746a1b897ef867b732fabad68a3b162b66
python-wrapt_1.15.0.orig.tar.xz 106.4 KiB 20b278b8f45f2daafad221f998aa21ce89f3ffabe14583495949ab435501f6e0
python-wrapt_1.15.0-2.debian.tar.xz 5.6 KiB 24c09e9404d150ca8dc2d23f31e298917af6dac0249c92b4e80dfd6ff815a6b8

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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