Expand dtype to int64 before converting to seconds #278
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Avoids numeric overflow of DateScalar int32 Fixes #277
| @@ -837,7 +837,7 @@ def strftime(self, format, dtype='O'): | |||
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| ''' | |||
| if isinstance(self, np.ndarray): | |||
| return np.asarray([dt.utcfromtimestamp(timestamp).strftime(format) for timestamp in self._fa* SECONDS_PER_DAY], dtype=dtype) | |||
| return np.asarray([dt.utcfromtimestamp(timestamp).strftime(format) for timestamp in self._fa.astype(np.int64) * SECONDS_PER_DAY], dtype=dtype) | |||
| else: | |||
| return dt.strftime(dt.utcfromtimestamp(self * SECONDS_PER_DAY), format) | |||
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considering DateBase derives from FastArray and so is always an np.ndarray, I'm not sure how this statement could be reached, so not changing it.
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Avoids numeric overflow of DateScalar int32
Fixes #277