Ubuntu
python-ddt package

python-ddt 1.6.0-3 source package in Ubuntu

Changelog

python-ddt (1.6.0-3) unstable; urgency=medium

  * Cleans better (Closes: #1048405).

 -- Thomas Goirand <email address hidden>  Tue, 22 Aug 2023 09:44:32 +0200

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Uploaded by:
Debian OpenStack
Uploaded to:
Sid
Original maintainer:
Debian OpenStack
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Series Pocket Published Component Section
Oracular release main misc
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Builds

Mantic: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
python-ddt_1.6.0-3.dsc 2.2 KiB ad19df4b7c89086a612cbac867fc3b722e0c5d067323dbd2b549a43cfd149361
python-ddt_1.6.0.orig.tar.xz 17.4 KiB 17275ba48a8a48d7d6a33ceabcb9204f1a7a0b5a0217317f480883480c8d88b0
python-ddt_1.6.0-3.debian.tar.xz 3.7 KiB d0cd14603d2e89dbbb2d0800d6b76177127f417c05b515c278f8ac87d56d0bf6

Available diffs

No changes file available.

Binary packages built by this source

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.