Fix warnings in dask-cudf test suite #19993
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dask/backends.py:140: UserWarning: Warning gzip compression does not support breaking apart files
ParserWarning: Falling back to the 'python' engine because the 'c' engine does not support skipfooter; you can avoid this warning by specifying engine='python'.
UserWarning: You did not provide metadata, so Dask is running ...
UserWarning: Using CPU via PyArrow to read ORC dataset.
- cudf/core/dataframe.py:7708: RuntimeWarning: Degrees of freedom <= 0 for slice - cupy/_statistics/correlation.py:210: RuntimeWarning: divide by zero encountered in scalar divide
RuntimeWarning: invalid value encountered in cast
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/ok to test da7cb07 |
TomAugspurger
commented
Sep 17, 2025
| {"a": list(range(15)) + [None] * 5, "b": list(reversed(range(20)))}, | ||
| ], | ||
| ) | ||
| # This warning comes from dask-expr, and is probably a consequence of |
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This one is probably a bug in dask-cudf / dask.dataframe. It occurs as part of normal dask-cudf operations:
>>> import cudf, dask.dataframe as dd, cupy as cp
>>> data = {
... "a": [None] * 100 + list(range(100, 150)),
... "b": list(range(50)) + [None] * 50 + list(range(50, 100)),
... }
>>> df = cudf.DataFrame(data)
>>> ddf = dd.from_pandas(df, npartitions=5)
>>> ddf.sort_values(by="a", na_position="first")
/raid/toaugspurger/envs/gh/rapidsai/cudf/lib/python3.13/site-packages/pandas/core/arrays/numpy_.py:130: RuntimeWarning: invalid value encountered in cast
result = np.asarray(scalars, dtype=dtype) # type: ignore[arg-type]
The equivalent operation on a pandas.DataFrame doesn't emit the warning. I think this is from cudf's not handling NA / NaN the same for a column that would otherwise be integer dtype.
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/ok to test 3f0633c |
TomAugspurger
added
improvement
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Description
This PR fixes some warnings in the dask-cudf test suite and elevates any unhandled warnings to errors.