A couple of examples showing how to use core
pytest mechanisms and existing plugins (no additional hooks nor hacks) to solve real-world problems.
pytest is great but it is extremely generic: thanks to its core
parametrize concepts, the possibilities are almost infinite! The purpose of this project is to provide examples of a few of these possibilities, so that you do not need to spend hours designing your tests when your needs fall into "classical needs".
Current list of examples¶
The following examples are provided:
- Data science benchmark demonstrates how pytest can be used as a benchmarking engine to compare the performances of several data sciences algorithms on several datasets and produce various reports (plots, csv table...).
Note: you can download all examples at once from this link
Do you like this library ? You might also like my other python libraries
Want to contribute ?¶
Details on the github page: https://github.com/smarie/pytest-patterns