decoratortools 1.8-4 source package in Ubuntu


decoratortools (1.8-4) unstable; urgency=medium

  [ Ondřej Nový ]
  * Fixed homepage (https)
  * Fixed VCS URL (https)

  [ Daniele Tricoli ]
  * Remove egg-info.
  * Drop transitional python-decoratortools package. (Closes: #878383)
  * debian/clean
    - Add to clean egg-info.
  * debian/{compat,control}
    - Bump compat level to 11.
  * debian/control
    - Update Vcs-Git and Vcs-Browser to
    - Add autodep8 tests.
    - Sort Build-Depends.
    - Bump Standards-Version to 4.1.3 (no changes needed).
  * debian/copyright
    - Update copyright years.
    - Use final Format URI.
    - Use in Source field.
  * debian/rules
    - Use pybuild.
    - Don't use override_dh_auto_test, use PYBUILD_TEST_ARGS instead.
    - Drop override_dh_auto_clean end use debian/clean.
  * debian/watch
    - Use secure URI.
  * debian/python-peak.util.decorators.install
    - Remove since not needed anymore due the use of pybuild.

 -- Daniele Tricoli <email address hidden>  Sat, 10 Feb 2018 16:41:08 +0100

Upload details

Uploaded by:
Debian Python Modules Team on 2018-02-12
Uploaded to:
Original maintainer:
Debian Python Modules Team
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-04-18 universe python
Disco release on 2018-10-30 universe python
Cosmic release on 2018-05-01 universe python
Bionic release on 2018-03-15 universe python


Bionic: [FULLYBUILT] amd64


File Size SHA-256 Checksum
decoratortools_1.8-4.dsc 2.1 KiB 8098e51fd6559fa5536f11bc57d902a51b778647fd0e1dc4da1c59dac50e33f0
decoratortools_1.8.orig.tar.gz 23.7 KiB 1ff8afa2afcda33f6cc1dbf28ad90646d176e9cceb13f28d09db269bbc8c33f8
decoratortools_1.8-4.debian.tar.xz 3.7 KiB 5f26d9bf872302d25959a85ce9f34a93eba428c30c230253c6bfba8be48fd0e4

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Binary packages built by this source

python-peak.util.decorators: version-agnostic decorators support for Python

 DecoratorTools provides decorator facilities for Python 2.3 and above. It
 provides class and function decorators as well as support for decorating
 arbitrary assignments, synchronized methods, and more.
 DecoratorTools is part of the PEAK (Python Enterprise Architecture Kit)
 framework and provides the peak.util.decorators module.