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Overall coverage is at 87% but I would like to get it higher. There are some crucial code paths that are not covered by tests such as the handling of date/time DataFrame columns.
Using codecov on github is limited to non-CUDA code, so I am running it locally on a CUDA system to get the most accurate figures. This is my workflow:
Overall coverage is at 87% but I would like to get it higher. There are some crucial code paths that are not covered by tests such as the handling of date/time DataFrame columns.
Using codecov on github is limited to non-CUDA code, so I am running it locally on a CUDA system to get the most accurate figures. This is my workflow:
The tests are run twice, once with
numba
andcuda
and once without. HTML files are created in thehtmlcov
directory. Current summary is:The text was updated successfully, but these errors were encountered: