python-ddt 1.2.1-2ubuntu1 source package in Ubuntu

Changelog

python-ddt (1.2.1-2ubuntu1) eoan; urgency=low

  * Merge from Debian unstable.  Remaining changes:
    - Reintroduce python2 package

python-ddt (1.2.1-2) unstable; urgency=medium

  [ Ondřej Nový ]
  * Running wrap-and-sort -bast.
  * Use debhelper-compat instead of debian/compat.

  [ Thomas Goirand ]
  * Uploading to unstable.

 -- Gianfranco Costamagna <email address hidden>  Fri, 19 Jul 2019 23:22:51 +0200

Upload details

Uploaded by:
Gianfranco Costamagna on 2019-07-19
Uploaded to:
Eoan
Original maintainer:
Debian OpenStack
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Eoan release on 2019-07-19 main misc

Builds

Eoan: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-ddt_1.2.1.orig.tar.xz 13.7 KiB 6d60f2f0cd58e2d7088fa6958232abf1e7480e183b6306deee02fd137d4b8bb0
python-ddt_1.2.1-2ubuntu1.debian.tar.xz 3.2 KiB 7e977bc8cb5e5b581c340f7bf9f955ed8e8173512bf912f12a4c133e9dc5a05c
python-ddt_1.2.1-2ubuntu1.dsc 2.4 KiB 1922e914c17a3d0da1f8c873cabc932beec1e68431ecfe2d7f0bf9fac3039dab

Available diffs

View changes file

Binary packages built by this source

python-ddt: Data-Driven/Decorated Tests - Python 2.x

 DDT (Data-Driven Tests) allows you to multiply one test case by running it
 with different test data, and make it appear as multiple test cases. DDT
 consists of a class decorator ddt (for your TestCase subclass) and two
 method decorators (for your tests that want to be multiplied).
 .
 This package contains the Python 2.x module.

python-ddt-doc: Data-Driven/Decorated Tests - doc

 DDT (Data-Driven Tests) allows you to multiply one test case by running it
 with different test data, and make it appear as multiple test cases. DDT
 consists of a class decorator ddt (for your TestCase subclass) and two
 method decorators (for your tests that want to be multiplied).
 .
 This package contains the documentation.

python3-ddt: Data-Driven/Decorated Tests - Python 3.x

 DDT (Data-Driven Tests) allows you to multiply one test case by running it
 with different test data, and make it appear as multiple test cases. DDT
 consists of a class decorator ddt (for your TestCase subclass) and two
 method decorators (for your tests that want to be multiplied).
 .
 This package contains the Python 3.x module.