}
			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()

Cuando pasas el archivo a `fastapi run`, detectará automáticamente que es un archivo único y no parte de un paquete y sabrá cómo importarlo y servir tu aplicación FastAPI. 😎

## Conceptos de Despliegue { #deployment-concepts }

Hablemos nuevamente de algunos de los mismos [Conceptos de Despliegue](concepts.md){.internal-link target=_blank} en términos de contenedores.

- When describing deployments, `OldReplicaSets` now always shows all replicasets controlled the deployment, not just those that still have replicas available. ([#113083](https://github.com/kubernetes/kubernetes/pull/113083), [@llorllale](https://github.com/llorllale)) [SIG CLI]

但你也可以利用平行與多行程 (multiprocessing)（讓多個行程同時運行） 的優勢來處理機器學習系統中的 **CPU 密集型**工作。

這一點，再加上 Python 是 **資料科學**、機器學習，尤其是深度學習的主要語言，讓 **FastAPI** 成為資料科學/機器學習 Web API 和應用程式（以及許多其他應用程式）的絕佳選擇。

想了解如何在生產環境中實現這種平行性，請參見 [部屬](deployment/index.md){.internal-link target=_blank}。

## `async` 和 `await`

現代 Python 版本提供一種非常直觀的方式定義非同步程式碼。這使得它看起來就像正常的「順序」程式碼，並在適當的時機「等待」。

當某個操作需要等待才能回傳結果，並且支援這些新的 Python 特性時，你可以像這樣編寫程式碼：

```Python

- kubeadm: Allowed to download certificate secrets uploaded by `init` or `upload-certs` phase, allowing to transfer certificate secrets (certificates and keys) from the cluster to other master machines when creating HA deployments. ([#74168](https://github.com/kubernetes/kubernetes/pull/74168), [@ereslibre](https://github.com/ereslibre))

> - End Sha: 337e0e18f1aefa199bd0a1786f8eab42e948064c

## Known Issues

파이썬이 **데이터 사이언스**, 머신러닝과 특히 딥러닝에 의 주된 언어라는 간단한 사실에 더해서, 이것은 FastAPI를 데이터 사이언스 / 머신러닝 웹 API와 응용프로그램에 (다른 것들보다) 좋은 선택지가 되게 합니다.

배포시 병렬을 어떻게 가능하게 하는지 알고싶다면, [배포](deployment/index.md){.internal-link target=_blank}문서를 참고하십시오.

## `async`와  `await`

최신 파이썬 버전에는 비동기 코드를 정의하는 매우 직관적인 방법이 있습니다. 이는 이것을 평범한 "순차적" 코드로 보이게 하고, 적절한 순간에 당신을 위해 "대기"합니다.

Quando você passa o arquivo para `fastapi run` ele detecta automaticamente que é um arquivo único e não parte de um pacote e sabe como importá-lo e servir sua aplicação FastAPI. 😎

## Conceitos de Implantação { #deployment-concepts }

Vamos falar novamente sobre alguns dos mesmos [Conceitos de Implantação](concepts.md){.internal-link target=_blank} em termos de contêineres.

common:android_x86_64 --platforms=@org_tensorflow//tensorflow/tools/toolchains/android:x86_64

# Build everything statically for Android since all static libs are later
# bundled together into a single .so for deployment.
common:android --dynamic_mode=off
# TODO(belitskiy): Remove once on Clang 20.
common:android --define=xnn_enable_avxvnniint8=false

# Sets the default Apple platform to macOS.

  Multi vCenter support is deprecated as of v1.21. If you have a Kubernetes cluster spanning across multiple vCenter servers, please consider moving all k8s nodes to a single vCenter Server. vSphere CSI Driver does not support Kubernetes deployment spanning across multiple vCenter servers.
  
  Support for these deprecations will be available till Kubernetes v1.24. ([#98546](https://github.com/kubernetes/kubernetes/pull/98546), [@divyenpatel](https://github.com/divyenpatel))