Raise on __eq__ binary operations between unsupported types. #11609
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| if op == "__eq__": | ||
| raise TypeError( | ||
| "'==' not supported between instances of " | ||
| f"'{type(self).__name__}' and '{type(other).__name__}'" | ||
| ) | ||
| if op == "__ne__": | ||
| raise TypeError( | ||
| "'!=' not supported between instances of " | ||
| f"'{type(self).__name__}' and '{type(other).__name__}'" | ||
| ) | ||
| raise NotImplementedError() |
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Would it be cleaner to leave BinaryOperand._binaryop as-is, and just patch the __eq__ and __ne__ methods? Or do we need to change all three methods?
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This PR has been labeled |
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@bdice now that we have full nested type support is this PR still relevant? |
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This is still an issue -- the wrong error is raised when comparing nested types. >>> cudf.Series([[1, 2, 3], [4, 5]]) == cudf.Series([{"a": 1}, {"a": 2}])
...
TypeError: object of type 'bool' has no len()
>>> pd.Series([[1, 2, 3], [4, 5]]) == pd.Series([{"a": 1}, {"a": 2}])
0 False
1 False
dtype: boolThis is also a problem for non-nested equality comparisons: >>> cudf.Series(["a", "b"]) == cudf.Series([1, 2])
...
TypeError: object of type 'bool' has no len()
>>> pd.Series(["a", "b"]) == pd.Series([1, 2])
0 False
1 False
dtype: bool |
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I'm going to try and refactor cudf/cpp/src/binaryop/compiled/binary_ops.cu Line 399 in b8503bc cudf::binary_operation that works with lists and structs. That should help unblock the lists/structs cases in this PR.
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Description
This PR fixes a bug where calling
__eq__/==binary operations in unsupported cases (Series of lists, Series of structs -- soon to be supported) called through toobject.__eq__instead of raising as expected, resulting in a cryptic errorTypeError: object of type 'bool' has no len(). In this PR, we alter theBinaryOperandclass to have a default__eq__method (actually a descriptor) that is defined as a mixinOperation, so that classes inheriting from this mixin can override its behavior.To-do:
==raises when called with Series of lists and Series of structs (not yet supported in Python)cudf.Series(["a", "b"]) == cudf.Series([1, 2])raises the same errorChecklist