Niels Bantilan

> how do we coerce the type into another type? At deserialization time, once we unpickle the object, can't we do `int(object)`? It'll basically be a runtime error if the...

This is an unfortunate naming collision. When I added [Hypothesis checks](https://pandera.readthedocs.io/en/stable/hypothesis.html) to the codebase I didn't anticipate ever using the `hypothesis` library for data synthesis. `pip install pandera[hypotheses]` unlocks hypothesis...

@rmetcalfe-msp any thoughts on the docs solution to clarify this behavior?

hi @achen004 I don't quite understand what you mean: do you want to use pandas == 1.2.0 and the latest pandera version doesn't support it?

what error did you see?

hi @ostetzer I see numpy 2 is finally in beta as a release candidate! Can you share the schema that's raising this error?

hi @JulianoFin can you describe more clearly what you expect to happen with the three different schemas you have in the code snippet?

thanks @datajoely, yes the complexity of the internals is definitely something to improve for future integrations, but it'll be worth it! As for order of operations, the one I used...

Suppose a user defines a task `@task(requests=Resources(cpu="2", mem="500Mi"))` When a user is paying for compute (e.g. in serverless), we don't want to unexpectedly provision more compute or memory than they...

Hi @aaravind100 the prototype looks good, can you make a PR? Will just have to add some unit tests. > Would you like to add or prioritize some other types...