import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * Annotation used to mark fields that represent configuration properties.
 * This annotation provides metadata about how the configuration property
 * should be handled, including its source, type, default value, and whether it's read-only.
 *
 * @since 4.0.0
 */
@Experimental
@Documented
@Retention(RetentionPolicy.CLASS)

```

Örneğin:

{* ../../docs_src/body_multiple_params/tutorial004_an_py310.py hl[28] *}


/// info | Bilgi

`Body`, `Query`, `Path` ve daha sonra göreceğiniz diğerleriyle aynı ek validasyon ve metadata parametrelerine de sahiptir.

///

## Tek bir body parametresini gömme { #embed-a-single-body-parameter }

Diyelim ki Pydantic'teki `Item` modelinden gelen yalnızca tek bir `item` body parametreniz var.

		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrMetadataTooLarge: {
		Code:           "MetadataTooLarge",
		Description:    "Your metadata headers exceed the maximum allowed metadata size.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrInvalidTagDirective: {
		Code:           "InvalidArgument",
		Description:    "Unknown tag directive.",

표준 타입 애너테이션을 사용하고 기본값을 `None`으로 설정하여 파일을 선택적으로 만들 수 있습니다:

{* ../../docs_src/request_files/tutorial001_02_an_py310.py hl[9,17] *}

## 추가 메타데이터를 포함한 `UploadFile` { #uploadfile-with-additional-metadata }

추가 메타데이터를 설정하기 위해 예를 들어 `UploadFile`과 함께 `File()`을 사용할 수도 있습니다:

{* ../../docs_src/request_files/tutorial001_03_an_py310.py hl[9,15] *}

## 다중 파일 업로드 { #multiple-file-uploads }

					}
					bootLogIf(GlobalContext, fmt.Errorf("Unable to list buckets to initialize bucket metadata sub-system: %w", err))
				}

				buckets = make([]string, len(bucketsList))
				for i := range bucketsList {
					buckets[i] = bucketsList[i].Name
				}
				break
			}
		})

		// Initialize bucket metadata sub-system.
		bootstrapTrace("globalBucketMetadataSys.Init", func() {

import org.dbflute.outsidesql.OutsideSqlOption;
import org.dbflute.outsidesql.factory.OutsideSqlExecutorFactory;
import org.dbflute.s2dao.jdbc.TnResultSetHandlerFactory;
import org.dbflute.s2dao.metadata.TnBeanMetaDataFactory;
import org.dbflute.twowaysql.factory.SqlAnalyzerFactory;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.TestInfo;

		if err != nil {
			err = msgp.WrapError(err, "Flags")
			return o, err
		}
		x.Flags = xlFlags(zb0003)
	}
	o = bts
	return o, err
}

// unmarshalV unmarshals with a specific metadata version.
func (j *xlMetaV2Version) unmarshalV(v uint8, bts []byte) (o []byte, err error) {
	if v > xlMetaVersion {
		return bts, fmt.Errorf("unknown xlMetaVersion: %d", v)
	}

	// Clear omitempty fields:

)

type arnTarget struct {
	Client      *TargetClient
	lastRefresh time.Time
}

// arnErrs represents number of errors seen for a ARN and if update is in progress
// to refresh remote targets from bucket metadata.
type arnErrs struct {
	count            int64
	updateInProgress bool
	bucket           string
}

// BucketTargetSys represents bucket targets subsystem
type BucketTargetSys struct {
	sync.RWMutex

Пам’ятаєте, як я раніше розповідав, що `Annotated` можна використовувати для додавання метаданих до параметрів у [Вступі до типів Python](../python-types.md#type-hints-with-metadata-annotations)?

Зараз саме час використати його разом із FastAPI. 🚀

Раніше ми мали таку анотацію типу:

```Python
q: str | None = None
```

Тепер ми загорнемо її у `Annotated`, і отримаємо:

			t.Errorf("Test %d: Expected %v but received %v -> %#v", tt.name, got, tt.want, tt)
		}
	}
}

// newTestXLMetaV1 - initializes new xlMetaV1Object, adds version, allocates a fresh erasure info and metadata.
func newTestXLMetaV1() xlMetaV1Object {
	xlMeta := xlMetaV1Object{}
	xlMeta.Version = xlMetaVersion101
	xlMeta.Format = xlMetaFormat
	xlMeta.Minio.Release = "test"
	xlMeta.Erasure = ErasureInfo{