> For the complete documentation index, see [llms.txt](https://docs.dbnl.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dbnl.com/v0.20.x/using-distributional/testing.md).

# Testing

Tests are the key tool within dbnl for asserting performance and consistency of runs.  Possible goals during testing can include:

* Asserting that a chosen column meets its minimum desired behavior (e.g., inference throughput);
* Asserting that a chosen column has a distribution that roughly matches the baseline reference;
* Asserting that no individual results have a severely divergent behavior from a baseline.

In this section, we explore the objects required for testing, methods for creating tests, suggested testing strategies, reviewing/analyzing tests, and best practices.

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