Yikun commented on a change in pull request #35236:
URL: https://github.com/apache/spark/pull/35236#discussion_r787315973
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File path: python/pyspark/pandas/typedef/typehints.py
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@@ -559,6 +559,9 @@ def infer_return_type(f: Callable) -> Union[SeriesType,
DataFrameType, ScalarTyp
tpe = get_type_hints(f).get("return", None)
+ if tpe is None:
+ raise TypeError("A return value is required for the input function")
Review comment:
Technically, I think it [should be
ValueError](https://docs.python.org/3/library/exceptions.html#TypeError),
because func is `Callable` but the value is not not meet the requirement. See
also in why raise TypeError before (it just because some compatiable reason):
https://github.com/python/cpython/blob/7c0914d35eaaab2f323260ba5fe8884732533888/Lib/inspect.py#L1374-L1379
It's not a strong prefer for me, just a reminder, you could do a double
check on this, if you have other idea on this, I'm ok with this.
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