python-ddt 1.1.1-1 source package in Ubuntu

Changelog

python-ddt (1.1.1-1) unstable; urgency=medium

  [ Ondřej Nový ]
  * Fixed VCS URLs (https).
  * d/rules: Changed UPSTREAM_GIT protocol to https
  * d/copyright: Changed source URL to https protocol
  * d/control: Set Vcs-* to salsa.debian.org

  [ Daniel Baumann ]
  * Updating copyright format url.
  * Updating maintainer field.
  * Running wrap-and-sort -bast.
  * Removing gbp.conf, not used anymore or should be specified in the
    developers dotfiles.

  [ Thomas Goirand ]
  * Standards-Version is now 4.1.3.
  * New upstream release.
  * Fixed build-depends for this release.
  * debian/rules: some clean-ups.

 -- Thomas Goirand <email address hidden>  Fri, 02 Mar 2018 17:53:47 +0100

Upload details

Uploaded by:
PKG OpenStack on 2018-03-02
Uploaded to:
Sid
Original maintainer:
PKG OpenStack
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Disco release on 2018-10-30 main misc
Cosmic release on 2018-06-13 main misc

Builds

Cosmic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-ddt_1.1.1-1.dsc 2.3 KiB df8c00177332fb6702c0c8b42c2acf88789977d9d3a7d7c991a103b17b64259b
python-ddt_1.1.1.orig.tar.xz 12.8 KiB 574efeffcf750ee7de1d4cf98419a44c7e64303e377f8c39551dbc18f5ebd2fe
python-ddt_1.1.1-1.debian.tar.xz 2.9 KiB e13c082ddb94d6ac622969b5ce870a1b5ed8dcbcfa7614f2fb39b7796aa5209b

Available diffs

No changes file available.

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.