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k-8, python >=3.8 and osx x86_64 #52529
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No! |
@martin-g What sort of issues were you seeing with the osx x86_64 build? Lookin at notes from the previous issue I see k8 needed a different version of v8/Node.js for Linux and OSX. If I read the comments correctly, this was fixed for Linux, Linux ARM, and OSX ARM. Just not for OSX _x86_64. Is that correct? I honestly don't know what to setup to run your tests that have k8 with minimap2 and python, and probably don't have permissions to retest your CI tests that fail. |
You could open a PR for k8 and/or minimap2 and experiment. The CI checks will give you the feedback. |
To open a PR I probably need to change something. I have no idea what is wrong so no idea what to change. I tried pulling the bioconda-recipes code to my iMac and running locally as defined by the instructions below to see what failed: However, since I made no changes, nothing was done. I get this message. (bioconda) rs-btbd1ylcj34:bioconda-recipes lcj34$ bioconda-utils build --docker --mulled-test --git-range master If you could provide any kind of information on what to be looking at I might be able to test and debug, but currently I'm at a standstill with this. |
Oh - just saw @mencian note above, so perhaps he is looking at this - thanks! |
@lynnjo Please give the new macOS build a try! |
Has this been delivered ? I am still getting an error message. My environment.yml file looks like: name: phgv2-updatedTiledb
My command is: The error is: conda env create --solver libmamba -f upgraded_environment.yml
LibMambaUnsatisfiableError: Encountered problems while solving:
Could not solve for environment specs If I remove the version specification for python and minimap2 I end up with python 3.12.8 but minimap2, instead of the 2.28 version I'd like, shows up as minimap2.1.1 with 0 as the build. This is the same error I was seeing before. |
This is a follow up to the closed issue 50888 (#50888)
Has any progress been made to make k8 to build on python >=3.8 for osx x86_64? We are still in need of this for our pipeline. Thanks - Lynn
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