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moble avatar moble commented on July 29, 2024

I don't know anything about pex, so unless you can point to something that my code is doing wrong, I'm going to have to assume that this is pex's problem. I only support conda and (barely) pip. Unfortunately, I don't have the time to figure out problems with other workflows, but pull requests are welcome if you can find something that this package could do better. Also note issue #55, which pointed out that numpy has to already be available before the setup can succeed for quaternion.

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oliverdain avatar oliverdain commented on July 29, 2024

Understandable. I don't know much about pex myself but, in theory, it should work with anything that pip does. I suspect that there's a slight change in your setup.py or something that would fix things but since neither of us know what that might be I'll close the ticket.

thanks.

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moble avatar moble commented on July 29, 2024

Sorry. The only thing I can think of is that I do require the latest version of numpy, because there are some important fixes in the latest releases that directly affect the behavior of quaternions. (Most importantly, issue #1 was fixed by numpy 1.13, so conjugate finally behaves correctly.) So I list numpy>1.13 in the requirements.txt file. Maybe your pex can't find that version. Otherwise, it looks like an insufficiently informative error.

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oliverdain avatar oliverdain commented on July 29, 2024

I've played with pex enough that I think that error means it actually can't find numpy-quaternion. If it was having trouble finding numpy itself (or any other dependency) it'd list that as the dependency it can't satisfy. IIRC you're not using standard pyPi to distribute but are instead using some other repo, right? I think pex may be limited to pyPi.

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moble avatar moble commented on July 29, 2024

IIRC you're not using standard pyPi to distribute but are instead using some other repo, right?

I think it's the standard one: https://pypi.python.org/pypi/numpy-quaternion

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oliverdain avatar oliverdain commented on July 29, 2024

I'm stumped. I may look into this some more if packaging becomes a more important issue. Closing for now.

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