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Add rago #29382

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Add rago #29382

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@jgyasu jgyasu commented Mar 9, 2025

Checklist

  • Title of this PR is meaningful: e.g. "Adding my_nifty_package", not "updated meta.yaml".
  • License file is packaged (see here for an example).
  • Source is from official source.
  • Package does not vendor other packages. (If a package uses the source of another package, they should be separate packages or the licenses of all packages need to be packaged).
  • If static libraries are linked in, the license of the static library is packaged.
  • Package does not ship static libraries. If static libraries are needed, follow CFEP-18.
  • Build number is 0.
  • A tarball (url) rather than a repo (e.g. git_url) is used in your recipe (see here for more details).
  • GitHub users listed in the maintainer section have posted a comment confirming they are willing to be listed there.
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github-actions bot commented Mar 9, 2025

Hi! This is the staged-recipes linter and I found some lint.

File-specific lints and/or hints:

  • recipes/rago/meta.yaml:
    • lints:
      • The following maintainers have not yet confirmed that they are willing to be listed here: xmnlab. Please ask them to comment on this PR if they are.

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conda-forge-admin commented Mar 9, 2025

Hi! This is the friendly automated conda-forge-linting service.

I wanted to let you know that I linted all conda-recipes in your PR (recipes/rago/meta.yaml) and found some lint.

Here's what I've got...

For recipes/rago/meta.yaml:

  • ❌ Non noarch packages should have python requirement without any version constraints.

This message was generated by GitHub Actions workflow run https://github.com/conda-forge/conda-forge-webservices/actions/runs/13751687561. Examine the logs at this URL for more detail.

@jgyasu
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jgyasu commented Mar 9, 2025

@xmnlab kindly FYI

@jgyasu jgyasu changed the title Add Recipe for Rago Add rago Mar 9, 2025
@xmnlab
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xmnlab commented Mar 10, 2025

thanks @jgyasu for adding me as a maintainer!

@xmnlab
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xmnlab commented Mar 10, 2025

@jgyasu I guess we will need to have two "versions" of the package, the cpu and the gpu ..

so this recipe would have 2 outputs one for cpu and the other one for gpu ... here you can see some examples about how to do that: https://github.com/conda-forge/xgboost-feedstock/blob/main/recipe/meta.yaml

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3 participants