}
			if tt.expectedWriteQuorum != actualWriteQuorum {
				t.Errorf("Expected Write Quorum %d, got %d", tt.expectedWriteQuorum, actualWriteQuorum)
			}
		})
	}
}

// In some deployments, one object has data inlined in one disk and not inlined in other disks.
func TestGetObjectInlineNotInline(t *testing.T) {
	ctx, cancel := context.WithCancel(t.Context())
	defer cancel()

이것은 파이썬이 **데이터 사이언스**, 머신러닝, 특히 딥러닝의 주요 언어라는 단순한 사실과 더해져, FastAPI를 데이터 사이언스/머신러닝 웹 API 및 애플리케이션(그 외에도 많은 것들)에 매우 잘 맞는 선택으로 만들어 줍니다.

프로덕션에서 이 병렬성을 어떻게 달성하는지 보려면 [배포](deployment/index.md) 섹션을 참고하세요.

## `async`와 `await` { #async-and-await }

최신 파이썬 버전에는 비동기 코드를 정의하는 매우 직관적인 방법이 있습니다. 이 방법은 이를 평범한 "순차" 코드처럼 보이게 하고, 적절한 순간에 여러분을 위해 "기다림"을 수행합니다.

> - End Sha: 337e0e18f1aefa199bd0a1786f8eab42e948064c

## Known Issues

- Promoted ReplicaSet and Deployment `.status.terminatingReplicas` tracking to beta. The `DeploymentReplicaSetTerminatingReplicas` feature gate is now enabled by default. ([#133087](https://github.com/kubernetes/kubernetes/pull/133087), [@atiratree](https://github.com/atiratree)) [SIG...

同時に、機械学習システムのような **CPU バウンド** なワークロードに対して、並列処理やマルチプロセッシング (複数プロセスの並列実行) の利点も活用できます。

さらに、Python が **データサイエンス**、機械学習、特にディープラーニングの主要言語であるという事実も相まって、FastAPI はデータサイエンス/機械学習の Web API やアプリケーション (ほか多数) に非常に適しています。

本番環境でこの並列性を実現する方法は、[デプロイ](deployment/index.md) のセクションを参照してください。

## `async` と `await` { #async-and-await }

モダンな Python には、非同期コードをとても直感的に定義する方法があります。これにより、通常の「シーケンシャル」なコードのように書けて、適切なタイミングで「待ち」を行ってくれます。

## Deprecations and Removals

- API

  - The following APIs are no longer served by default:

    - All resources under `apps/v1beta1` and `apps/v1beta2` - use `apps/v1` instead
    - `daemonsets`, `deployments`, `replicasets` resources under `extensions/v1beta1` - use `apps/v1` instead
    - `networkpolicies` resources under `extensions/v1beta1` - use `networking.k8s.io/v1` instead

- Kube-controller-manager: Fixes bug setting headless service labels on endpoints ([#85361](https://github.com/kubernetes/kubernetes/pull/85361),...

### Deprecation

#### kube-apiserver:
- the following deprecated APIs can no longer be served:
  - All resources under `apps/v1beta1` and `apps/v1beta2` - use `apps/v1` instead
  - `daemonsets`, `deployments`, `replicasets` resources under `extensions/v1beta1` - use `apps/v1` instead
  - `networkpolicies` resources under `extensions/v1beta1` - use `networking.k8s.io/v1` instead

- Implemented a new status field, `.status.terminatingReplicas`, for Deployments and ReplicaSets to track terminating pods. The new field is present when the `DeploymentPodReplacementPolicy` feature gate is enabled. ([#128546](https://github.com/kubernetes/kubernetes/pull/128546), [@atiratree](https://github.com/atiratree))...

alpha, is no longer available. Kubernetes now only uses the _structured parameters_ model (also alpha) for allocating dynamic resources to Pods.

  if and only if classic DRA was enabled in a cluster, remove all workloads (pods, app deployments, etc. ) which depend on classic DRA and make sure that all PodSchedulingContext resources are gone before upgrading. PodSchedulingContext resources cannot be removed through the apiserver after an upgrade and workloads would not work properly. ...