Dies kann sehr nützlich sein, um **Ressourcen** einzurichten, die Sie in der gesamten Anwendung verwenden wollen und die von Requests **gemeinsam genutzt** werden und/oder die Sie anschließend **aufräumen** müssen. Zum Beispiel ein Pool von Datenbankverbindungen oder das Laden eines gemeinsam genutzten Modells für maschinelles Lernen.

## Anwendungsfall

		NetworkNamespace:         "",
	}
}

// RemovePodFromMesh is called when a pod needs to be removed from the mesh
func (s *NetServer) RemovePodFromMesh(ctx context.Context, pod *corev1.Pod, isDelete bool) error {
	log := log.WithLabels("ns", pod.Namespace, "name", pod.Name)
	log.WithLabels("delete", isDelete).Debugf("removing pod from the mesh")

message VolumeAttachmentStatus {
  // attached indicates the volume is successfully attached.
  // This field must only be set by the entity completing the attach
  // operation, i.e. the external-attacher.
  optional bool attached = 1;

  // attachmentMetadata is populated with any
  // information returned by the attach operation, upon successful attach, that must be passed
  // into subsequent WaitForAttach or Mount calls.

version or implementation.

For example, you may use your own Prometheus and Grafana installs, or you may use a specialized/custom
certificate provisioning tool, or use components that are centrally managed and running in a different cluster.

This is a work in progress - building on top of the multi-cluster installer.

from typing import Union

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()


class Item(BaseModel):
    name: str
    price: float
    is_offer: Union[bool, None] = None


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: Union[str, None] = None):

        .build()
    assertThat(client.retryOnConnectionFailure).isTrue()
    executeSynchronously("/").assertBody("seed connection pool")
    executeSynchronously("/").assertBody("retry success")

    // The call that seeds the connection pool.
    listener.removeUpToEvent(CallEnd::class.java)

    // The ResponseFailed event is not necessarily fatal!

   * instance. This method is guaranteed to only be called once.
   *
   * <p>By default this returns a new {@link ScheduledExecutorService} with a single thread pool
   * that sets the name of the thread to the {@linkplain #serviceName() service name}. Also, the
   * pool will be {@linkplain ScheduledExecutorService#shutdown() shut down} when the service
   * {@linkplain Service.State#TERMINATED terminates} or {@linkplain Service.State#TERMINATED

## Pydantic

모든 데이터 검증은 <a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a>에 의해 내부적으로 수행되므로 이로 인한 이점을 모두 얻을 수 있습니다. 여러분은 관리를 잘 받고 있음을 느낄 수 있습니다.

`str`, `float`, `bool`, 그리고 다른 여러 복잡한 데이터 타입 선언을 할 수 있습니다.

이 중 몇 가지는 자습서의 다음 장에 설명되어 있습니다.

## 순서 문제

*경로 작동*을 만들때 고정 경로를 갖고 있는 상황들을 맞닥뜨릴 수 있습니다.

`/users/me`처럼, 현재 사용자의 데이터를 가져온다고 합시다.

	"github.com/minio/minio/internal/config"
	"github.com/minio/minio/internal/logger/target/http"
	"github.com/minio/minio/internal/logger/target/kafka"
)

// Console logger target
type Console struct {
	Enabled bool `json:"enabled"`
}

// Audit/Logger constants
const (
	Endpoint      = "endpoint"
	AuthToken     = "auth_token"
	ClientCert    = "client_cert"
	ClientKey     = "client_key"
	BatchSize     = "batch_size"

// f is also responsible for closing w.
func generatesZip64(t *testing.T, f func(w *Writer)) bool {
	ss := &suffixSaver{keep: 10 << 20}
	w := NewWriter(ss)
	f(w)
	return suffixIsZip64(t, ss)
}

type sizedReaderAt interface {
	io.ReaderAt
	Size() int64
}

func suffixIsZip64(t *testing.T, zip sizedReaderAt) bool {
	d := make([]byte, 1024)
	if _, err := zip.ReadAt(d, zip.Size()-int64(len(d))); err != nil {