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  1. AI Platform Core Components
  2. AIPCC-8688

builder: kube-authkit package update request

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      Instructions:

      1. Read the attached Red Hat AI Python Packaging Best Practices.pdf to verify that your package meets the AIPCC team's packaging requirements. Packages not meeting these requirements will be rejected.
      2. Run "AIPCC Clone Epics and Children" (under the 'More' menu) to duplicate this template ticket and its children. (Most Jira users do not have permission to do that using the default  "Clone Epic and Children" operation.)
      3. Update the "Reporter" field to your name instead of the owner of the cloned ticket.
      4. Update the <name> field in the Summary of the cloned ticket.
      5. Update the <name> field in the Epic Name of the cloned ticket.

      Please use one package per ticket.

      The ticket assignee may request additional information in the cloned ticket.

      The text above this line can be deleted from the cloned ticket.

      📋 New Package Request for AIPCC

      This form is for requesting new Python packages to be built and added to the AIPCC Package Index. Please provide as much detail as possible.

      1. Requester Information

      • Team / Project:
        Kubeflow-Devx - Training Ray

      2. Package Details

      3. Build & Platform Requirements

      • Hardware Variants:
        Select all additional hardware platforms where this package is needed. A CPU-only variant is built by default for all requests.
      • [x] CUDA (NVIDIA GPU)
      • [x] ROCm (AMD GPU)
      • [x] TPU (Google TPU)
      • [x] Gaudi (Intel Gaudi)
      • [x] Spyre (IBM)
      • [x] Other (Please specify): This package is hardware agnostic 

      4. Justification & Testing

      • Business Justification: This package help kubeflow-sdk and Training ray teams to support OIDC in 3.3/3.4
      • (Optional) Testing Requirements:
        (Text Area)
      • Our default test is a simple package import. Describe any specific tests you require beyond this.

      Example: "Must be able to run the package's built-in pytest suite," or "Verify function X runs correctly on a GPU."

        1. Red Hat AI Python Packaging Best Practices.pdf
          64 kB

              epacific@redhat.com Einat Pacifici
              rh-ee-szaher Saad Zaher
              Einat Pacifici, Reshmi Aravind
              Frank's Team
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