[Python] Conversion from numpy datetime64 array with multiple of unit (eg [10s]) gives wrong values
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Component: Python
Type: bug
- Dominant language
- C++
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Description
### Describe the bug, including details regarding any error messages, version, and platform.
The unit in numpy can be a multiple of the base unit. For example:
```python
>>> arr = np.arange("2012-01-01 00:00", "2012-01-01 00:01", dtype="datetime64[10s]")
>>> arr
array(['2012-01-01T00:00:00', '2012-01-01T00:00:10',
'2012-01-01T00:00:20', '2012-01-01T00:00:30',
'2012-01-01T00:00:40', '2012-01-01T00:00:50'],
dtype='datetime64[10s]')
>>> pa.array(arr)
[
1974-03-15 00:00:00,
1974-03-15 00:00:01,
1974-03-15 00:00:02,
1974-03-15 00:00:03,
1974-03-15 00:00:04,
1974-03-15 00:00:05
]
```
### Component(s)
Python
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