seberg commented on pull request #8834: URL: https://github.com/apache/arrow/pull/8834#issuecomment-739543773
Well, as I said, the only thing I can think of is delaying a NumPy release a bit to give you a chance to release a new version. That way anyone who updates their full stack is guaranteed to have a working system. I will claim that a lot of people upgrade numpy specifically but are reluctant to upgrade pyarrow also. I wonder how many production systems it would even hit, I would have guessed that most *production* systems pin versions? ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected]
