galipremsagar
commented
1 year ago @karthikeyann Looks like libcudf NULL_EQUALS binary op isn't accounting for np.nan values
Open csadorf opened 1 year ago
galipremsagar
commented
1 year ago @karthikeyann Looks like libcudf NULL_EQUALS binary op isn't accounting for np.nan values
shwina
commented
1 year ago I don't think this is a bug in libcudf (typically, NaNs do not compare equal). Possibly something we need to find a solution for in Python land.
davidwendt
commented
1 year ago The libcudf row-comparator has specialized supported to report equality when comparing NaNs:
https://github.com/rapidsai/cudf/blob/5f83a8491603eadc1de5cb174016801c1cca5824/cpp/include/cudf/table/row_operators.cuh#L138-L143
I think we can make this consistent at least for NULL_EQUALS
https://github.com/rapidsai/cudf/blob/5f83a8491603eadc1de5cb174016801c1cca5824/cpp/src/binaryop/compiled/operation.cuh#L387-L400
davidwendt
commented
1 year ago I made a quick change to NullEquals in https://github.com/rapidsai/cudf/pull/12275 for discussion purposes and in case you want to try it out.
vyasr
commented
6 months ago @wence- is #15731 relevant here?
wence-
commented
6 months ago In this sense that it was adding another specialised binop equality comparator, yes. But using it wouldn't fix this problem.
If we want to carve out new NANS_LIKE_NULL_EQUALS/NANS_LIKE_NULL_NOT_EQUALS binops, we could do so. Otherwise we could support the requirements of DataFrame.equals by calling nans_to_nulls on the columns first and then comparing with NULL_EQUALS.
If we don't want to add to libcudf, we could have a PTX-jitted binop for this that we pass in via GENERIC_PTX or whatever it's called, I think.
Describe the bug
According to the documentation, the result of
DataFrame.equals()should beTruewhen the two dataframes are equal, even when they contain NaNs:However, this does not seem to be the case under certain circumstances.
Steps/Code to reproduce bug
The following snippet demonstrates the unexpected behavior:
will fail with an
AssertionError.Curiously the following snippet does not fail:
Expected behavior
The result of
DataFrame.equals()should be True in case that values are the same and NaNs are in the same place as described by the method's documentation.Environment overview (please complete the following information)
Environment details
Click here to see environment details
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