```
readinessProbe:
  httpGet:
    path: /minio/health/ready
    port: 9000
    scheme: HTTP
  initialDelaySeconds: 120
  periodSeconds: 15
  timeoutSeconds: 10
  successThreshold: 1
  failureThreshold: 3
```

## Cluster probe

### Cluster-writeable probe

				Name:     strings.Repeat("longname/", 15) + "16gig.txt",
				Size:     16 << 30,
				Mode:     0644,
				Uid:      1000,
				Gid:      1000,
				Uname:    "guillaume",
				Gname:    "guillaume",
				ModTime:  time.Unix(1399583047, 0),
			}, nil},
		},
	}, {
		// This file was produced using GNU tar v1.17.
		//	gnutar -b 4 --format=ustar (longname/)*15 + file.txt
		file: "testdata/ustar.tar",

   * connectedRange}, if such a range exists.
   *
   * <p>For example, the intersection of {@code [1..5]} and {@code (3..7)} is {@code (3..5]}. The
   * resulting range may be empty; for example, {@code [1..5)} intersected with {@code [5..7)}
   * yields the empty range {@code [5..5)}.
   *
   * <p>The intersection exists if and only if the two ranges are {@linkplain #isConnected

name: Translate

on:
  # schedule:
  #   - cron: "0 5 15 * *"  # Run at 05:00 on the 15 of every month

  workflow_dispatch:
    inputs:
      debug_enabled:
        description: Run with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)
        required: false
        default: "false"
      command:
        description: Command to run
        type: choice
        options:
          - translate-page

  # Simple retry logic for docker-pull errors. Sleeps if a pull fails.
  # Pulling an already-pulled container image will finish instantly, so
  # repeating the command costs nothing.
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 15
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 30
  docker pull "$TFCI_DOCKER_IMAGE" || sleep 60
  docker pull "$TFCI_DOCKER_IMAGE"
fi 

if [[ "$TFCI_DOCKER_REBUILD_ENABLE" == 1 ]]; then

    to_encode = data.copy()
    if expires_delta:
        expire = datetime.now(timezone.utc) + expires_delta
    else:
        expire = datetime.now(timezone.utc) + timedelta(minutes=15)
    to_encode.update({"exp": expire})
    encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
    return encoded_jwt


async def get_current_user(

    to_encode = data.copy()
    if expires_delta:
        expire = datetime.now(timezone.utc) + expires_delta
    else:
        expire = datetime.now(timezone.utc) + timedelta(minutes=15)
    to_encode.update({"exp": expire})
    encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
    return encoded_jwt


async def get_current_user(

예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다:

```Python
images: List[Image]
```

이를 아래처럼:

{* ../../docs_src/body_nested_models/tutorial008.py hl[15] *}

## 어디서나 편집기 지원

그리고 어디서나 편집기 지원을 받을수 있습니다.

리스트 내부 항목의 경우에도:

<img src="/img/tutorial/body-nested-models/image01.png">

Pydantic 모델 대신에 `dict`를 직접 사용하여 작업할 경우, 이러한 편집기 지원을 받을수 없습니다.

    to_encode = data.copy()
    if expires_delta:
        expire = datetime.now(timezone.utc) + expires_delta
    else:
        expire = datetime.now(timezone.utc) + timedelta(minutes=15)
    to_encode.update({"exp": expire})
    encoded_jwt = jwt.encode(to_encode, SECRET_KEY, algorithm=ALGORITHM)
    return encoded_jwt


async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):

   * hereby disclaims copyright to this source code.
   */
  static int smear(int hashCode) {
    return (int) (C2 * Integer.rotateLeft((int) (hashCode * C1), 15));
  }

  static int smearedHash(@Nullable Object o) {
    return smear((o == null) ? 0 : o.hashCode());
  }

  private static final int MAX_TABLE_SIZE = Ints.MAX_POWER_OF_TWO;