PR: Avoid looping on large numpy arrays

[impact27]

Some numpy arrays have a dtype (such as int32) that excludes any objects. In that case, looping the array looking for a quantity is not helpful, and can waste a lot of time if the array is large.

• [ ] Closes # (insert issue number)
• [ ] Executed pre-commit run --all-files with no errors
• [ ] The change is fully covered by automated unit tests
• [ ] Documented in docs/ as appropriate
• [ ] Added an entry to the CHANGES file

[impact27]

Not exactly a benchmark, but I have one function that went from 16s to 2s execution