steps:
      - name: Dump GitHub context
        env:
          GITHUB_CONTEXT: ${{ toJson(github) }}
        run: echo "$GITHUB_CONTEXT"
      - uses: tiangolo/issue-manager@0.5.1
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          config: >
            {
              "answered": {
                "delay": 864000,

   *       superclass, no equality check is done on the deserialized instance because it's not clear
   *       whether the author intended for the class to be a value type.
   *   <li>If a constructor or factory method takes a parameter whose type is interface, a dynamic
   *       proxy will be passed to the method. It's possible that the method body expects an

///

////

/// info

In Pydantic version 1 the configuration was done in an internal class `Config`, in Pydantic version 2 it's done in an attribute `model_config`. This attribute takes a `dict`, and to get autocompletion and inline errors you can import and use `SettingsConfigDict` to define that `dict`.

///

	kubeCAFilepath = "testdata/kube-ca.crt"
	saToken        = "service_account_token_string"
)

func TestCreateValidKubeconfigFile(t *testing.T) {
	tmp := t.TempDir()
	os.WriteFile(filepath.Join(tmp, "token"), []byte(saToken), 0o644)
	cases := []struct {
		name               string
		expectedFailure    bool
		k8sServiceProtocol string
		k8sServiceHost     string
		k8sServicePort     string
		kubeCAFilepath     string

```python
from fastapi import WebSocket
```

/// tip

When you want to define dependencies that should be compatible with both HTTP and WebSockets, you can define a parameter that takes an `HTTPConnection` instead of a `Request` or a `WebSocket`.

///

::: fastapi.WebSocket
    options:
        members:
            - scope
            - app
            - url
            - base_url

labels.boost_document_rule_boost_expr=Boost Expr
labels.boost_document_rule_sort_order=Sort Order
labels.access_token_configuration=Access Token
labels.access_token_title_details=Access Token
labels.access_token_list_name=Name
labels.access_token_name=Name
labels.access_token_token=Token
labels.access_token_expires=Expired
labels.access_token_parameter_name=Parameter Name
labels.access_token_updated_time=Created

    runs-on: ubuntu-latest
    permissions:
      # Needed to upload the results to code-scanning dashboard.
      security-events: write
      # Needed to publish results and get a badge (see publish_results below).
      id-token: write
      # Uncomment the permissions below if installing in a private repository.
      # contents: read
      # actions: read

    steps:
      - name: "Checkout code"

  // "csi.storage.k8s.io/serviceAccount.tokens": {
  //   "<audience>": {
  //     "token": <token>,
  //     "expirationTimestamp": <expiration timestamp in RFC3339>,
  //   },
  //   ...
  // }
  //
  // Note: Audience in each TokenRequest should be different and at
  // most one token is empty string. To receive a new token after expiry,
  // RequiresRepublish can be used to trigger NodePublishVolume periodically.
  //

    TFE_CancellationToken token) {
  return tensorflow::unwrap(cancellation_manager)->DeregisterCallback(token);
}

bool TFE_CancellationManagerTryDeregisterCallback(
    TFE_CancellationManager* cancellation_manager,
    TFE_CancellationToken token) {
  return tensorflow::unwrap(cancellation_manager)->TryDeregisterCallback(token);
}

void TFE_DeleteCancellationManager(

                It is also useful when you want to have authentication that can be
                provided in one of multiple optional ways (for example, in a query
                parameter or in an HTTP Bearer token).
                """
            ),
        ] = True,
    ):
        self.model: APIKey = APIKey(
            **{"in": APIKeyIn.query},  # type: ignore[arg-type]
            name=name,