if err != nil && testCase.success {
				t.Fatalf("Test %d: unexpected error: %v", i+1, err)
			}
			_, _, err = createServerEndpoints(testCase.serverAddr, srvCtxt.Layout.pools, srvCtxt.Layout.legacy)
			if err != nil && testCase.success {
				t.Errorf("Test %d: Expected success but failed instead %s", i+1, err)
			}
			if err == nil && !testCase.success {

			}

			if !isNilPtrValue { // ignore if value is nil
				f := joinFields[idx][len(joinFields[idx])-1]
				db.AddError(f.Set(db.Statement.Context, relValue, values[idx]))
			}
		}

		// release data to pool
		field.NewValuePool.Put(values[idx])
	}
}

// ScanMode scan data mode
type ScanMode uint8

// scan modes
const (
	ScanInitialized         ScanMode = 1 << 0 // 1

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 * Fix problems with spdy/3.1 and http/2 where the wrong window size was being
   used.
 * Fix 1.5.0 regression where conditional cache responses could corrupt the
   connection pool.


## Version 1.5.0

_2014-03-07_


##### OkHttp no longer uses the default SSL context.

Applications that want to use the global SSL context with OkHttp should configure their

  }

  /**
   * Creates a TimeLimiter instance using the given executor service to execute method calls.
   *
   * <p><b>Warning:</b> using a bounded executor may be counterproductive! If the thread pool fills
   * up, any time callers spend waiting for a thread may count toward their time limit, and in this
   * case the call may even time out before the target method is ever invoked.
   *

///

Pour éviter de bloquer la boucle d'événements, vous pouvez simplement déclarer la *fonction de chemin d'accès* avec un `def` classique au lieu de `async def`. Ainsi, FastAPI l'exécutera dans un worker de pool de threads, afin d'éviter de bloquer la boucle principale.

{* ../../docs_src/stream_data/tutorial002_py310.py ln[30:34] hl[31] *}

/// tip | Astuce

This can be very useful for setting up **resources** that you need to use for the whole app, and that are **shared** among requests, and/or that you need to **clean up** afterwards. For example, a database connection pool, or loading a shared machine learning model.

## Use Case { #use-case }

Let's start with an example **use case** and then see how to solve it with this.

Isso pode ser muito útil para configurar **recursos** que você precisa usar por toda a aplicação, e que são **compartilhados** entre as requisições e/ou que você precisa **limpar** depois. Por exemplo, um pool de conexões com o banco de dados ou o carregamento de um modelo de Aprendizado de Máquina compartilhado.

## Caso de uso { #use-case }

Vamos começar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.

 * This processor supports searching with multiple searchers concurrently and merging their results based on
 * ranking scores to provide more comprehensive and accurate search results.
 *
 * The processor maintains a pool of searchers and an executor service for concurrent operations.
 * It implements rank fusion techniques to combine results from different search engines
 * and provides a unified search interface.
 */

```Python
contents = myfile.file.read()
```

/// note | Détails techniques `async`

Lorsque vous utilisez les méthodes `async`, **FastAPI** exécute les méthodes de fichier dans un pool de threads et les attend.

///

/// note | Détails techniques Starlette