Tests that depend on the results of randomized algorithms can cause erroneous failures (e.g., in acceptance tests of ML algorithms) or legitimate, but non-reproducible failures. The pytest-randomly plugin sets relevant random seeds before test sessions to ensure reproducible test results.
Tests that depend on the results of randomized algorithms can cause erroneous failures (e.g., in acceptance tests of ML algorithms) or legitimate, but non-reproducible failures. The pytest-randomly plugin sets relevant random seeds before test sessions to ensure reproducible test results.