wesm commented on PR #12460:
URL: https://github.com/apache/arrow/pull/12460#issuecomment-1159026036
I'm refactoring all the vector kernels and I observed that the behavior of
this kernel is inconsistent between scalar and array inputs:
A scalar null returns an array of length with 0 while an array with a single
null returns an array with one null
```
In [5]: pc.cumulative_sum(pa.array([None], type='int32')[0], skip_nulls=True)
Out[5]:
<pyarrow.lib.Int32Array object at 0x7fa80d3e7640>
[
0
]
In [6]: pc.cumulative_sum(pa.array([None], type='int32'), skip_nulls=True)
Out[6]:
<pyarrow.lib.Int32Array object at 0x7fa80d3e7700>
[
null
]
```
I'm not sure this is right -- I can preserve this behavior, but do we want
to fix it?
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