python-django-waffle 0.18.0-1 source package in Ubuntu

Changelog

python-django-waffle (0.18.0-1) unstable; urgency=low

  [ Ondřej Nový ]
  * Bump Standards-Version to 4.4.1.

  [ Michael Fladischer ]
  * New upstream release.
  * Refresh patches.
  * Set Rules-Requires-Root: no.

 -- Michael Fladischer <email address hidden>  Fri, 22 Nov 2019 13:41:06 +0100

Upload details

Uploaded by:
Debian Python Modules Team on 2019-11-22
Uploaded to:
Sid
Original maintainer:
Debian Python Modules Team
Architectures:
all
Section:
misc
Urgency:
Low Urgency

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Focal: [FULLYBUILT] amd64

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python-django-waffle_0.18.0-1.dsc 1.9 KiB 8c7a07e72014e601b99a456a622fd96734c436efbd7bf3737ec496b02d93854a
python-django-waffle_0.18.0.orig.tar.gz 56.6 KiB 7d55b8add3ad19aa256adf3342a8e1a2aec8013c2b6196834aa359457b49183f
python-django-waffle_0.18.0-1.debian.tar.xz 3.7 KiB 2716941b42214a480e275e71ea2072b9bb0f0c93ea7fd102fca840f2073c05ea

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Binary packages built by this source

python-django-waffle-doc: feature flipper for Django (Documentation)

 Django Waffle is feature flipper for Django. You can define the conditions for
 which a flag should be active, and use it in a number of ways. Feature flags
 are a critical tool for continuously integrating and deploying applications.
 .
 Waffle aims to
  * provide a simple, intuitive API everywhere in your application;
  * cover common use cases with batteries-included;
  * be simple to install and manage;
  * be fast and robust enough to use in production; and
  * minimize dependencies and complexity.
 .
 This package contains the documentation.

python3-django-waffle: feature flipper for Django (Python3 version)

 Django Waffle is feature flipper for Django. You can define the conditions for
 which a flag should be active, and use it in a number of ways. Feature flags
 are a critical tool for continuously integrating and deploying applications.
 .
 Waffle aims to
  * provide a simple, intuitive API everywhere in your application;
  * cover common use cases with batteries-included;
  * be simple to install and manage;
  * be fast and robust enough to use in production; and
  * minimize dependencies and complexity.
 .
 This package contains the Python 3 version of the library.