*/
    public static byte[] readBytes(final File file) {
        return readBytes(file, MAX_BUF_SIZE);
    }

    /**
     * Reads the contents of a file into a byte array and returns it with a custom size limit.
     * <p>
     * <strong>Note:</strong> This method loads the entire file into memory.
     * An {@link IORuntimeException} will be thrown if the file exceeds the specified maxSize

			continue
		}
		shuffledDisks[meta.Erasure.Index-1] = disks[i]
		shuffledPartsMetadata[meta.Erasure.Index-1] = metaArr[i]
	}

	// Inconsistent meta info is with in the limit of
	// expected quorum, proceed with EcIndex based
	// disk order.
	if inconsistent < fi.Erasure.ParityBlocks {
		return shuffledDisks, shuffledPartsMetadata
	}

이 매개변수들은 **FastAPI**가 의존성을 "해결"하기 위해 사용할 것입니다

함수와 클래스 두 가지 방식 모두, 아래 요소를 갖습니다:

* `문자열`이면서 선택사항인 쿼리 매개변수 `q`.
* 기본값이 `0`이면서 `정수형`인 쿼리 매개변수 `skip`
* 기본값이 `100`이면서 `정수형`인 쿼리 매개변수 `limit`

두 가지 방식 모두, 데이터는 변환, 검증되고 OpenAPI 스키마에 문서화됩니다.

## 사용해봅시다!

이제 아래의 클래스를 이용해서 의존성을 정의할 수 있습니다.

{* ../../docs_src/dependencies/tutorial002.py hl[19] *}

        }).orElse(StringUtil.EMPTY_STRINGS);
    }

    /**
     * Retrieves or creates the result document IDs cache from the session.
     * The cache is implemented as an LRU map to limit memory usage.
     *
     * @param session the HTTP session
     * @return the result document IDs cache map
     */
    private Map<String, String[]> getResultDocIdsCache(final HttpSession session) {

			 "node.name":"search_engine",
			 "discovery.seed_hosts":"search_engine",
			 "cluster.initial_cluster_manager_nodes":"search_engine",
			 "node.roles":"cluster_manager,data,ingest,ml",
			 -->
			 "indices.breaker.total.limit":"100%",
			 "action.auto_create_index":"-*"}
		</property>
		<!-- Dictionaries -->
		<postConstruct name="addConfigFile">
			<arg>"fess"</arg>
			<arg>"mapping.txt"</arg>
		</postConstruct>

	"github.com/minio/minio/internal/dsync"
)

// Reject new lock requests immediately when this many are queued
// for the local lock mutex.
// We do not block unlocking or maintenance, but they add to the count.
// The limit is set to allow for bursty behavior,
// but prevent requests to overload the server completely.
// Rejected clients are expected to retry.
const lockMutexWaitLimit = 1000

        assertEquals(1.0, noRetryPolicy.getBackoffMultiplier());
        assertFalse(noRetryPolicy.isExponentialBackoff());
    }

    @Test
    @DisplayName("Should limit retry delay to maximum")
    void testMaxDelayLimit() {
        // Given
        SmbOperationException.RetryPolicy policy = new SmbOperationException.RetryPolicy(10, 1000, 5000, 2.0, true);

   *
   * It is an error to call this method after the body has been consumed.
   *
   * **Warning:** this method loads the requested bytes into memory. Most applications should set
   * a modest limit on `byteCount`, such as 1 MiB.
   */
  @Throws(IOException::class)
  fun peekBody(byteCount: Long): ResponseBody {
    val peeked = body.source().peek()
    val buffer = Buffer()
    peeked.request(byteCount)

  }

  public void testLimit() {
    Iterable<String> iterable = Lists.newArrayList("foo", "bar", "baz");
    FluentIterable<String> limited = FluentIterable.from(iterable).limit(2);

    assertEquals(ImmutableList.of("foo", "bar"), Lists.newArrayList(limited));
    assertCanIterateAgain(limited);
    assertEquals("[foo, bar]", limited.toString());
  }

 * the life cycle methods.
 *
 * <h3>Usage Example</h3>
 *
 * <p>Here is a sketch of a service which crawls a website and uses the scheduling capabilities to
 * rate limit itself.
 *
 * {@snippet :
 * class CrawlingService extends AbstractScheduledService {
 *   private Set<Uri> visited;
 *   private Queue<Uri> toCrawl;
 *   protected void startUp() throws Exception {