dchvn commented on pull request #35200:
URL: https://github.com/apache/spark/pull/35200#issuecomment-1014263771
Before this PR
```python
>>> from pyspark.pandas.typedef.typehints import infer_return_type
>>> infer_return_type(max)
Traceback (most recent call last):
File "/usr/lib/python3.9/inspect.py", line 1162, in getfullargspec
sig = _signature_from_callable(func,
File "/usr/lib/python3.9/inspect.py", line 2334, in
_signature_from_callable
return _signature_from_builtin(sigcls, obj,
File "/usr/lib/python3.9/inspect.py", line 2145, in _signature_from_builtin
raise ValueError("no signature found for builtin {!r}".format(func))
ValueError: no signature found for builtin <built-in function max>
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/u02/spark/python/pyspark/pandas/typedef/typehints.py", line 568, in
infer_return_type
spec = getfullargspec(f)
File "/usr/lib/python3.9/inspect.py", line 1171, in getfullargspec
raise TypeError('unsupported callable') from ex
TypeError: unsupported callable
```
after this PR
```python
>>> from pyspark.pandas.typedef.typehints import infer_return_type
>>> infer_return_type(max)
ScalarType[DoubleType]
```
Should we change to raise Exception or keep default return value is
`ScalarType[DoubleType]` ?
@ueshin @HyukjinKwon
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