config.load_kube_config drops into random `sh` shell instead of progressing

[faali1]

What happened (please include outputs or screenshots):

Hello! I'm seeing a regression in the latest verion where when I try to config.load_kube_config(context="cluster_id"), instead of proceeding with the command, it drops me into a random sh shell. When I try the same thing on 30.1.0 it works flawlessly. I've tried multiple contexts

What you expected to happen:

Load kubeconfig and allow proceeding to next command

How to reproduce it (as minimally and precisely as possible): Go into python REPL perform the two commands from the ss above.

Anything else we need to know?: Replicated by three people independently

Environment:

• Kubernetes version (kubectl version):

Client Version: v1.30.1
Server Version: v1.30.8-eks-2d5f260

• OS (e.g., MacOS 10.13.6): Mac OS 14.7.3

• Python version (python --version) Python 3.8.18

• Python client version (pip list | grep kubernetes) v32.0.0

[roycaihw]

I think this may be related to https://github.com/kubernetes-client/python/issues/2334

[k8s-triage-robot]

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/lifecycle stale

[k8s-triage-robot]

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/lifecycle rotten

[k8s-triage-robot]

The Kubernetes project currently lacks enough active contributors to adequately respond to all issues and PRs.

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• After 30d of inactivity since lifecycle/stale was applied, lifecycle/rotten is applied
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/close not-planned

[k8s-ci-robot]

@k8s-triage-robot: Closing this issue, marking it as "Not Planned".

In response to this:

The Kubernetes project currently lacks enough active contributors to adequately respond to all issues and PRs.

This bot triages issues according to the following rules:

• After 90d of inactivity, lifecycle/stale is applied
• After 30d of inactivity since lifecycle/stale was applied, lifecycle/rotten is applied
• After 30d of inactivity since lifecycle/rotten was applied, the issue is closed

You can:

• Reopen this issue with /reopen
• Mark this issue as fresh with /remove-lifecycle rotten
• Offer to help out with Issue Triage

Please send feedback to sig-contributor-experience at kubernetes/community.

/close not-planned

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