// request UID, but 10 different resource names associated with it.
	var lris []lockRequesterInfo
	uuid := mustGetUUID()
	for i := range 10 {
		resource := fmt.Sprintf("bucket/delete-object-%d", i)
		lri := lockRequesterInfo{
			Name:   resource,
			Writer: true,
			UID:    uuid,
			Owner:  owners[i%len(owners)],
			Group:  true,
			Quorum: 3,
		}
		lris = append(lris, lri)

Each header contains a mspg array (tuple) encoded object:

xlHeaderVersion version == 1:

```
//msgp:tuple xlMetaV2VersionHeader
type xlMetaV2VersionHeader struct {
 VersionID [16]byte  // Version UUID, raw.
 ModTime   int64     // Unix nanoseconds.
 Signature [4]byte   // Signature of metadata.
 Type      uint8     // Type if the version
 Flags     uint8
}
```

The following flags are defined:

package target

import (
	"context"
	"crypto/tls"
	"crypto/x509"
	"encoding/json"
	"errors"
	"fmt"
	"net/url"
	"os"
	"path/filepath"

	"github.com/google/uuid"
	"github.com/minio/minio/internal/event"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/minio/internal/once"
	"github.com/minio/minio/internal/store"
	xnet "github.com/minio/pkg/v3/net"

    private val buckets: Map<TestCoverage, List<BuildTypeBucket>> by lazy {
        val uuidToTestCoverage = model.stages.flatMap { it.functionalTests }.associateBy { it.uuid }
        val testCoverageAndBuckets: List<Map<String, Any>> = objectMapper.readValue(testBucketsJson.readText())
        testCoverageAndBuckets.associate { testCoverageAndBucket ->

Sie können beispielsweise kein Pydantic-Modell in eine `JSONResponse` einfügen, ohne es zuvor in ein `dict` zu konvertieren, bei dem alle Datentypen (wie `datetime`, `UUID`, usw.) in JSON-kompatible Typen konvertiert wurden.

In diesen Fällen können Sie den `jsonable_encoder` verwenden, um Ihre Daten zu konvertieren, bevor Sie sie an eine Response übergeben:

Por ejemplo, no puedes poner un modelo de Pydantic en un `JSONResponse` sin primero convertirlo a un `dict` con todos los tipos de datos (como `datetime`, `UUID`, etc.) convertidos a tipos compatibles con JSON.

Para esos casos, puedes usar el `jsonable_encoder` para convertir tus datos antes de pasarlos a un response:

	github.com/go-openapi/loads v0.22.0
	github.com/go-sql-driver/mysql v1.9.2
	github.com/gobwas/ws v1.4.0
	github.com/golang-jwt/jwt/v4 v4.5.2
	github.com/gomodule/redigo v1.9.2
	github.com/google/uuid v1.6.0
	github.com/inconshreveable/mousetrap v1.1.0
	github.com/json-iterator/go v1.1.12
	github.com/klauspost/compress v1.18.0
	github.com/klauspost/cpuid/v2 v2.2.10
	github.com/klauspost/filepathx v1.1.1

          .put(TimeUnit.class, SECONDS)
          .put(Charset.class, UTF_8)
          .put(Currency.class, Currency.getInstance(Locale.US))
          .put(Locale.class, Locale.US)
          .put(UUID.class, UUID.randomUUID())
          // common.base
          .put(CharMatcher.class, CharMatcher.none())
          .put(Joiner.class, Joiner.on(','))
          .put(Splitter.class, Splitter.on(','))

Par exemple, vous ne pouvez pas mettre un modèle Pydantic dans une `JSONResponse` sans d'abord le convertir en un `dict` avec tous les types de données (comme `datetime`, `UUID`, etc.) convertis en types compatibles avec JSON.

Pour ces cas, vous pouvez spécifier un appel à `jsonable_encoder` pour convertir vos données avant de les passer à une réponse :

그리고 지금까지와 같은 기능들을 여전히 사용할 수 있습니다.

* 훌륭한 편집기 지원.
* 들어오는 요청의 데이터 변환.
* 응답 데이터의 데이터 변환.
* 데이터 검증.
* 자동 어노테이션과 문서화.

## 다른 데이터 자료형

아래의 추가적인 데이터 자료형을 사용할 수 있습니다:

* `UUID`:
    * 표준 "범용 고유 식별자"로, 많은 데이터베이스와 시스템에서 ID로 사용됩니다.
    * 요청과 응답에서 `str`로 표현됩니다.
* `datetime.datetime`:
    * 파이썬의 `datetime.datetime`.
    * 요청과 응답에서 `2008-09-15T15:53:00+05:00`와 같은 ISO 8601 형식의 `str`로 표현됩니다.