Correct truncation of AnyValues when using strings or bytes #9269
+75
−10
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Related
Closes #8781
What
This PR adjusts the way we process AnyValues. WIthout this change we have cases where numpy is setting data types to have fixed length based on the first value it receives. This ends up truncating the data.
Additionally, we cannot simply call
pa.array()
because types like strings and bytes are iterable and will get turned into an array of characters or bytes, respectively.This PR attempts three passes at converting values
pa.array()
directly, but with a special case to ignore string and bytesAdded unit test to capture failure mode in attached issue.