Update to 7.3.11; remove duplicated CI jobs#24
Conversation
…nda-forge-pinning 2022.04.09.19.01.16
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Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
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Ping @conda-forge/pypy-meta :) |
…nda-forge-pinning 2023.01.26.16.59.55
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Hi! This is the friendly automated conda-forge-linting service. I just wanted to let you know that I linted all conda-recipes in your PR ( |
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Updated to take into account #26 |
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Close/reopen to rerun the travis builds |
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@conda-forge-admin, please restart ci |
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Travis is not picking up the restarts. As a feedstock maintainer, you should be able to trigger a rerun in the GH UI under the "Checks" tab. |
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Ah, wait, just saw the following banner on travis:
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…nda-forge-pinning 2023.01.31.03.10.11
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So travis is out of credits, but things seem to work fine in emulation. PTAL @conda-forge/pypy-meta, would be great to have the new pypy releases for work in scipy/grpc/arrow etc... :) |
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Thanks @h-vetinari |
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OK, this is now causing some unexpected side-effects. Due to pypy having a newer python "version" (referring to the stdlib portion here) than we have in CPython, this now will update random 3.9 environments from CPython to PyPy: IMO, using PyPy should remain opt-in, and we shouldn't switch the python implementation under the feet of users. So perhaps we might need to mark those builds as broken for now? CC @conda-forge/core |
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oy. Is there a way to prevent this? |
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CI passes after rerendering the 3.8.16 PR |
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It seems there will be cpython 3.9.16 very soon, and cpython 3.8.16 was recently made available. Going forward, can we add a test to the build here that will prevent this? Something like |
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Yeah we should do something better here. Testing or avoiding this issue altogether. Raised issue ( #27 ). Please feel free to add more there |
I saw in #23 that each pypy version gets built 3 times (once per cpython version). I don't quite see where the rerender picks up a supposedly unpinned
- pythoninmeta.yaml, but the following cbc-hack would do the trick. Not saying it's pretty, just a proposal.Edit: now that conda-forge/pypy3.6-feedstock#99 has landed, update the version here.
Closes #26