python-django-waffle 0.19.0-1 source package in Ubuntu

Changelog

python-django-waffle (0.19.0-1) unstable; urgency=low

  * New upstream release.
  * Refresh patches.
  * Fix copyright years (Closes: #940534).
  * Clean up django_waffle.egg-info/requires.txt to allow two builds in
    a row.
  * Bump Standards-Version to 4.5.0.

 -- Michael Fladischer <email address hidden>  Thu, 30 Jan 2020 20:24:37 +0100

Upload details

Uploaded by:
Debian Python Modules Team
Uploaded to:
Sid
Original maintainer:
Debian Python Modules Team
Architectures:
all
Section:
misc
Urgency:
Low Urgency

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Builds

Focal: [FULLYBUILT] amd64

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File Size SHA-256 Checksum
python-django-waffle_0.19.0-1.dsc 1.9 KiB 04e913a921b3cd298acdf9dc1363e56d3a92e016b6e0c11ff66c8b7b2b931583
python-django-waffle_0.19.0.orig.tar.gz 57.1 KiB 62ecb3e848627aca6bff7823f2e16f41876526f35066c8ba004eccfc91ad882c
python-django-waffle_0.19.0-1.debian.tar.xz 3.8 KiB b41c14374c5fb56c35559d5192710f3226ae9f36216f56cb4fc095e2819f5709

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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.