Difference between revisions of "Ddt"

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Latest revision as of 23:33, 24 April 2018


[edit]

Ddt

https://pypi.org/project/ddt
Data-Driven/Decorated Tests

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).





Licensing

License

Verified by

Verified on

Notes

License

Other

Verified by

Debian: Thomas Goirand <zigo@debian.org>

Verified on

22 October 2013

Notes

License: lgpl




Leaders and contributors

Resources and communication

AudienceResource typeURI
Downloadgit://github.com/txels/ddt.git
Python (Ref)https://pypi.org/project/ddt
Ruby (Ref)https://rubygems.org/gems/ddt
Debian (Ref)https://tracker.debian.org/pkg/ddt
Debian (Ref) (R)https://tracker.debian.org/pkg/python-ddt


Software prerequisites




Entry







"Python (Ref)" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.


"Ruby (Ref)" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.


"Debian (Ref)" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.


"Debian (Ref) (R)" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.








Date 2015-07-17
Source Debian
Source link http://packages.debian.org/sid/python-ddt

[[Category:]]



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