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  1. common-protos/k8s.io/api/certificates/v1/generated.proto

      //   Requests for this signer are never auto-approved by kube-controller-manager, can be issued by the "csrsigning" controller in kube-controller-manager.
      //  2. "kubernetes.io/kube-apiserver-client-kubelet": issues client certificates that kubelets use to authenticate to kube-apiserver.
      //   Requests for this signer can be auto-approved by the "csrapproving" controller in kube-controller-manager, and can be issued by the "csrsigning" controller in kube-controller-manager.
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  2. docs/en/docs/advanced/events.md

    ```Python
    with open("file.txt") as file:
        file.read()
    ```
    
    In recent versions of Python, there's also an **async context manager**. You would use it with `async with`:
    
    ```Python
    async with lifespan(app):
        await do_stuff()
    ```
    
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    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 19:53:19 GMT 2024
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  3. docs/en/docs/deployment/server-workers.md

    But Gunicorn supports working as a **process manager** and allowing users to tell it which specific **worker process class** to use. Then Gunicorn would start one or more **worker processes** using that class.
    
    And **Uvicorn** has a **Gunicorn-compatible worker class**.
    
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    - Registered: Sun May 05 07:19:11 GMT 2024
    - Last Modified: Thu Apr 18 19:53:19 GMT 2024
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  4. CHANGELOG/CHANGELOG-1.27.md

    [registry.k8s.io/kube-controller-manager:v1.27.11](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-controller-manager) | [amd64](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-controller-manager-amd64), [arm64](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-controller-manager-arm64), [ppc64le](https://console.cloud.google.com/gcr/images/k8s-artifacts-prod/us/kube-con...
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    - Last Modified: Tue Apr 16 15:20:21 GMT 2024
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  5. docs/en/docs/deployment/concepts.md

    ### Multiple Processes - An Example
    
    In this example, there's a **Manager Process** that starts and controls two **Worker Processes**.
    
    This Manager Process would probably be the one listening on the **port** in the IP. And it would transmit all the communication to the worker processes.
    
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  6. CHANGELOG/CHANGELOG-1.28.md

    [registry.k8s.io/kube-controller-manager:v1.28.9](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager-arm64), [ppc64le](https://console.cloud.google.co...
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  7. tensorflow/c/eager/BUILD

            ],
            "//conditions:default": [
                ":immediate_execution_context",
                ":immediate_execution_distributed_manager",
                ":immediate_execution_operation",
                ":immediate_execution_tensor_handle",
                ":tfe_cancellation_manager_internal",
                ":tfe_context_internal",
                ":tfe_executor_internal",
                ":tfe_monitoring_internal",
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    - Last Modified: Thu Apr 11 23:52:39 GMT 2024
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  8. CHANGELOG/CHANGELOG-1.26.md

    [registry.k8s.io/kube-controller-manager:v1.26.15](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager-amd64), [arm](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager-arm), [arm64](https://console.cloud.google.com/art...
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  9. CHANGELOG/CHANGELOG-1.30.md

    [registry.k8s.io/kube-controller-manager:v1.30.0](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-controller-manager-arm64), [ppc64le](https://console.cloud.google.co...
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  10. docs/en/docs/deployment/docker.md

    So, in this case, you **would not** want to have a process manager like Gunicorn with Uvicorn workers, or Uvicorn using its own Uvicorn workers. You would want to have just a **single Uvicorn process** per container (but probably multiple containers).
    
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