* 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 {

    * This will be used by the **automatic docs**.
    * It will also be used by automatic client code generation tools.

But most importantly:

* It will **limit and filter** the output data to what is defined in the return type.
    * This is particularly important for **security**, we'll see more of that below.

## `response_model` Parameter { #response-model-parameter }

### Ler Heroes

Podemos **ler** `Hero`s do banco de dados usando um `select()`. Podemos incluir um `limit` e `offset` para paginar os resultados.

{* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[48:55] hl[51:52,54] *}

### Ler um Único Hero

Podemos **ler** um único `Hero`.

   *
   * <p>Note that the cache <b>may evict an entry before this limit is exceeded</b>. For example, in
   * the current implementation, when {@code concurrencyLevel} is greater than {@code 1}, each
   * resulting segment inside the cache <i>independently</i> limits its own size to approximately
   * {@code maximumSize / concurrencyLevel}.
   *

그리고 여러분이 원하는 무엇이든 반환할 수 있습니다.

이 경우, 이 의존성은 다음과 같은 경우를 기대합니다:

* 선택적인 쿼리 매개변수 `q`, `str`을 자료형으로 가집니다.
* 선택적인 쿼리 매개변수 `skip`, `int`를 자료형으로 가지며 기본 값은 `0`입니다.
* 선택적인 쿼리 매개변수 `limit`,`int`를 자료형으로 가지며 기본 값은 `100`입니다.

그 후 위의 값을 포함한 `dict` 자료형으로 반환할 뿐입니다.

/// info | 정보

FastAPI는 0.95.0 버전부터 `Annotated`에 대한 지원을 (그리고 이를 사용하기 권장합니다) 추가했습니다.

옛날 버전을 가지고 있는 경우, `Annotated`를 사용하려 하면 에러를 맞이하게 될 것입니다.

        }).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) {

        ComponentUtil.setFessConfig(new MockFessConfig() {
            @Override
            public Integer getCookieSearchParameterMaxLengthAsInteger() {
                return 10; // Very small limit
            }
        });

        String longValue = "a".repeat(1000);
        getMockRequest().setParameter("q", longValue);

        searchHelper.storeSearchParameters();

In diesem Fall erwartet diese Abhängigkeit:

* Einen optionalen Query-Parameter `q`, der ein `str` ist.
* Einen optionalen Query-Parameter `skip`, der ein `int` ist und standardmäßig `0` ist.
* Einen optionalen Query-Parameter `limit`, der ein `int` ist und standardmäßig `100` ist.

Und dann wird einfach ein `dict` zurückgegeben, welches diese Werte enthält.

/// info

    String SUGGEST_UPDATE_CONTENTS_LIMIT_NUM_PERCENTAGE = "suggest.update.contents.limit.num.percentage";

    /** The key of the configuration. e.g. 10000 */
    String SUGGEST_UPDATE_CONTENTS_LIMIT_NUM = "suggest.update.contents.limit.num";

    /** The key of the configuration. e.g. 50000 */
    String SUGGEST_UPDATE_CONTENTS_LIMIT_DOC_SIZE = "suggest.update.contents.limit.doc.size";

    /** The key of the configuration. e.g. 1 */

    inputStream.close()
  }

  @Test
  fun disconnectRequestHalfway() {
    server.enqueue(MockResponse().setSocketPolicy(SocketPolicy.DISCONNECT_DURING_REQUEST_BODY))
    // Limit the size of the request body that the server holds in memory to an arbitrary
    // 3.5 MBytes so this test can pass on devices with little memory.
    server.bodyLimit = 7 * 512 * 1024