/// info | Información

También puedes usar:

* `response_model_exclude_defaults=True`
* `response_model_exclude_none=True`

como se describe en [la documentación de Pydantic](https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict) para `exclude_defaults` y `exclude_none`.

///

#### Datos con valores para campos con valores por defecto { #data-with-values-for-fields-with-defaults }

	var firstErr error

	allBuckets, err := z.ListBuckets(ctx, BucketOptions{})
	if err != nil {
		return err
	}

	if len(allBuckets) == 0 {
		updates <- DataUsageInfo{} // no buckets found update data usage to reflect latest state
		return nil
	}
	totalResults := 0
	resultIndex := -1
	for _, z := range z.serverPools {
		totalResults += len(z.sets)
	}
	results = make([]dataUsageCache, totalResults)

/// info | Info

Vous pouvez également utiliser :

* `response_model_exclude_defaults=True`
* `response_model_exclude_none=True`

comme décrit dans [la documentation Pydantic](https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict) pour `exclude_defaults` et `exclude_none`.

///

#### Données avec des valeurs pour des champs avec des valeurs par défaut { #data-with-values-for-fields-with-defaults }

```

/// info | 정보

다음도 사용할 수 있습니다:

* `response_model_exclude_defaults=True`
* `response_model_exclude_none=True`

`exclude_defaults` 및 `exclude_none`에 대해 [Pydantic 문서](https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict)에 설명된 대로 사용할 수 있습니다.

///

#### 기본값이 있는 필드에 값이 있는 데이터 { #data-with-values-for-fields-with-defaults }

하지만 ID가 `bar`인 항목처럼, 기본값이 있는 모델의 필드에 값이 있다면:

```Python hl_lines="3  5"

- Kubelet: Fixes memory usage within the kubelet's inotify subsystem. ([#108335](https://github.com/kubernetes/kubernetes/pull/108335), [@rphillips](https://github.com/rphillips)) [SIG API Machinery, CLI, Cloud Provider, Cluster Lifecycle, Instrumentation, Node and Storage]

  - `spec.signerName` is now required, and requests for `kubernetes.io/legacy-unknown` are not allowed to be created via the `certificates.k8s.io/v1` API
  - `spec.usages` is now required, may not contain duplicate values, and must only contain known usages
  - `status.conditions` may not contain duplicate types
  - `status.conditions[*].status` is now required

- Kube-apiserver: gzip compression switched from level 4 to level 1 to improve large list call latencies in exchange for higher network bandwidth usage (10-50% higher). This increases the headroom before very large unpaged list calls exceed request timeout limits. ([#112398](https://github.com/kubernetes/kubernetes/pull/112398), [@shyamjvs](https://github.com/shyamjvs)) [SIG API Machinery]

  * Implement API usage metrics for GCE storage. ([#40338](https://github.com/kubernetes/kubernetes/pull/40338), [@gnufied](https://github.com/gnufied))

```

/// info | 情報

以下も使用できます:

* `response_model_exclude_defaults=True`
* `response_model_exclude_none=True`

`exclude_defaults` と `exclude_none` については、[Pydanticのドキュメント](https://docs.pydantic.dev/1.10/usage/exporting_models/#modeldict)で説明されている通りです。

///

#### デフォルト値を持つフィールドに値があるデータ { #data-with-values-for-fields-with-defaults }

しかし、ID `bar` のitemのように、デフォルト値が設定されているモデルのフィールドに値が設定されている場合:

pkg syscall (darwin-386), type Rusage struct, Msgsnd int32
pkg syscall (darwin-386), type Rusage struct, Nivcsw int32
pkg syscall (darwin-386), type Rusage struct, Nsignals int32
pkg syscall (darwin-386), type Rusage struct, Nswap int32
pkg syscall (darwin-386), type Rusage struct, Nvcsw int32
pkg syscall (darwin-386), type Rusage struct, Oublock int32
pkg syscall (darwin-386), type Rusage struct, Stime Timeval