//     Vendors might change the settings based on the configuration and scale out of the solution (more storage nodes =>
//     higher task limit).
//
//     <S3ConcurrentTaskLimit>
//
//   - Defines how many S3 operations are executed parallel within one Repository Task Slot (and within one backup object

Nesse caso você tem:

* `ItemsService`
* `UsersService`

### Nomes dos Métodos do Cliente

Agora os nomes dos métodos gerados como `createItemItemsPost` não parecem muito "limpos":

```TypeScript
ItemsService.createItemItemsPost({name: "Plumbus", price: 5})
```

...isto ocorre porque o gerador de clientes usa o **operation ID** interno do OpenAPI para cada *operação de rota*.

	columnTypes := make([]gorm.ColumnType, 0)
	execErr := m.RunWithValue(value, func(stmt *gorm.Statement) (err error) {
		rows, err := m.DB.Session(&gorm.Session{}).Table(stmt.Table).Limit(1).Rows()
		if err != nil {
			return err
		}

		defer func() {
			err = rows.Close()
		}()

		var rawColumnTypes []*sql.ColumnType
		rawColumnTypes, err = rows.ColumnTypes()

                .limit(count)
                .forEach(entry -> {
                    Smb2LeaseKey key = entry.getKey();
                    LeaseEntry lease = entry.getValue();
                    log.info("Evicting lease for path: {} due to max lease limit", lease.getPath());

                    // Flush any cached data before eviction

	LastFailedCount uint64 `json:"failedCount_last5min"`
	// Count of unreplicated entries that were dropped after MRF retry limit reached since cluster start.
	TotalDroppedCount uint64 `json:"droppedCount_since_uptime"`
	// Bytes of unreplicated entries that were dropped after MRF retry limit reached since cluster start.
	TotalDroppedBytes uint64 `json:"droppedBytes_since_uptime"`
}

   * do double-duty to make sure the counting and content are consistent, particularly when it comes
   * to awkward operations like measuring the encoded length of header strings, or the
   * length-in-digits of an encoded integer.
   */
  private fun writeOrCountBytes(
    sink: BufferedSink?,
    countBytes: Boolean,
  ): Long {
    var byteCount = 0L
    val buffer: Buffer = if (countBytes) Buffer() else sink!!.buffer

        InputStream s = new ByteArrayInputStream(new byte[] { (byte) 0x81, (byte) 0xFF }); // length 255
        assertThrows(IOException.class, () -> {
            ASN1Util.readLength(s, 200, false); // limit 200
        });
    }

			continue
		}
		if cache.bucket != b.bucket {
			logger.Info("cache bucket mismatch %s != %s", b.bucket, cache.bucket)
			remove[id] = struct{}{}
			continue
		}
	}

	// If above limit, remove the caches with the oldest handout time.
	if len(caches)-len(remove) > metacacheMaxEntries {
		remainCaches := make([]metacache, 0, len(caches)-len(remove))
		for id, cache := range caches {

                // Exponential backoff with overflow protection - ensure safe calculation
                if (retryDelayMs > 0) {
                    // Safe calculation preventing overflow: use Math.max(0, retryCount - 1) and limit shift
                    int safeShift = Math.min(MAX_BACKOFF_SHIFT, Math.max(0, retryCount - 1));
                    long multiplier = 1L << safeShift;
                    // Check for potential overflow before multiplication

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] *}