python-wrapt 1.14.1-2 source package in Ubuntu

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python-wrapt (1.14.1-2) unstable; urgency=medium

  * Uploading to unstable.

 -- Thomas Goirand <email address hidden>  Fri, 23 Sep 2022 12:36:55 +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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File Size SHA-256 Checksum
python-wrapt_1.14.1-2.dsc 2.2 KiB e0df5b7378a423149b8084da45975fdabec4675364a106028ed736ef454ab66a
python-wrapt_1.14.1.orig.tar.xz 103.7 KiB bd3068bc0a8dfd62f3734d5df462ecc76a24dfb492eba5ca6305d6a418cc600a
python-wrapt_1.14.1-2.debian.tar.xz 5.5 KiB 21b885292b67ef81046bae58e8e6f33614e58fe0a8dff7fac44c2c1a46f92729

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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