builder.AddVar(builder, nv)
		} else {
			builder.WriteByte('@')
			builder.WriteString(string(name))
		}
	}
}

// processValue handles different value types appropriately for SQL parameter binding
// It checks for driver.Valuer first, then handles slices/arrays, and finally adds single values
func processValue(builder Builder, value interface{}) {
	if _, ok := value.(driver.Valuer); ok {

    * Les dépendances du routeur sont exécutées en premier, puis les [`dependencies` dans le décorateur](dependencies/dependencies-in-path-operation-decorators.md), puis les dépendances des paramètres normaux.
    * Vous pouvez également ajouter des [`Security` dependencies avec des `scopes`](../advanced/security/oauth2-scopes.md).

/// tip | Astuce

        assertEquals(0, dst[35], "Reserved byte should be 0");
    }

    @Test
    void testWriteParameterWordsWireFormat_ZeroCounts() {
        // Test with zero parameter and data counts to check conditional logic.
        smbComNtTransaction.command = ServerMessageBlock.SMB_COM_NT_TRANSACT;
        smbComNtTransaction.parameterCount = 0;
        smbComNtTransaction.dataCount = 0;

In diesem Fall können Sie diese Funktion in **FastAPI** mit dem Parameter `separate_input_output_schemas=False` deaktivieren.

/// info | Info

Unterstützung für `separate_input_output_schemas` wurde in FastAPI `0.102.0` hinzugefügt. 🤓

///

{* ../../docs_src/custom_request_and_route/tutorial002_an_py310.py hl[17:19] *}

## Custom `APIRoute` class in a router { #custom-apiroute-class-in-a-router }

You can also set the `route_class` parameter of an `APIRouter`:

{* ../../docs_src/custom_request_and_route/tutorial003_py310.py hl[26] *}

{* ../../docs_src/custom_request_and_route/tutorial002_an_py310.py hl[17:19] *}

## Benutzerdefinierte `APIRoute`-Klasse in einem Router { #custom-apiroute-class-in-a-router }

Sie können auch den Parameter `route_class` eines `APIRouter` festlegen:

{* ../../docs_src/custom_request_and_route/tutorial003_py310.py hl[26] *}

# ヘッダーパラメータのモデル { #header-parameter-models }

関連する**ヘッダーパラメータ**が一式ある場合、それらを宣言するための**Pydantic モデル**を作成できます。

これにより、モデルを**複数箇所**で**再利用**でき、さらにすべてのパラメータに対するバリデーションやメタデータを一括で宣言できます。😎

/// note | 備考

これは FastAPI バージョン `0.115.0` 以降でサポートされています。🤓

///

## Pydantic モデルによるヘッダーパラメータ { #header-parameters-with-a-pydantic-model }

必要な**ヘッダーパラメータ**を**Pydantic モデル**内で宣言し、関数引数ではそのパラメータを `Header` として宣言します:

	ExcessFolders    = "alert_excess_folders"
	EnvExcessFolders = "MINIO_SCANNER_ALERT_EXCESS_FOLDERS"

	// All below are deprecated in October 2022 and
	// replaced them with a single speed parameter
	Delay            = "delay"
	MaxWait          = "max_wait"
	Cycle            = "cycle"
	EnvDelay         = "MINIO_SCANNER_DELAY"
	EnvCycle         = "MINIO_SCANNER_CYCLE"
	EnvDelayLegacy   = "MINIO_CRAWLER_DELAY"

machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference...

                if (e.getNtStatus() == NtStatus.NT_STATUS_INVALID_PARAMETER) {
                    // Silently ignore invalid parameter errors - these may occur with certain server configurations
                    if (log.isDebugEnabled()) {
                        log.debug("Invalid parameter error.", e);
                    }
                    return;
                }