```

Und normalerweise würden Sie diese Paketabhängigkeiten mit `pip` installieren, zum Beispiel:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic
```

</div>

/// info | Info

Es gibt andere Formate und Tools zum Definieren und Installieren von Paketabhängigkeiten.

///

pydantic>=2.7.0,<3.0.0
```

Y normalmente instalarías esas dependencias de los paquetes con `pip`, por ejemplo:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic
```

</div>

/// info | Información

Existen otros formatos y herramientas para definir e instalar dependencias de paquetes.

///

- kubeadm now attempts to detect an installed CRI by its usual domain socket, so that `--cri-socket` can be omitted from the command line if Docker is not used and there is a single CRI installed. ([#69366](https://github.com/kubernetes/kubernetes/pull/69366), [@rosti](https://github.com/rosti))

* Fix kubectl create secret/configmap to allow = values ([#24989](https://github.com/kubernetes/kubernetes/pull/24989), [@derekwaynecarr](https://github.com/derekwaynecarr))
* Upgrade installed packages when building hyperkube to improve the security profile ([#25114](https://github.com/kubernetes/kubernetes/pull/25114), [@aaronlevy](https://github.com/aaronlevy))

pydantic>=2.7.0,<3.0.0
```

E você normalmente instalaria essas dependências de pacote com `pip`, por exemplo:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic
```

</div>

/// info | Informação

Há outros formatos e ferramentas para definir e instalar dependências de pacotes.

///

fastapi>=0.68.0,<0.69.0
pydantic>=1.8.0,<2.0.0
uvicorn>=0.15.0,<0.16.0
```

你通常会使用`pip`安装这些依赖项：

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic uvicorn
```

</div>

/// info

还有其他文件格式和工具来定义和安装依赖项。

 我将在下面的部分中向你展示一个使用 Poetry 的示例。 👇

///

### 创建 **FastAPI** 代码

* 创建`app`目录并进入。

* Hermetic CUDA support is added.

  Hermetic CUDA uses a specific downloadable version of CUDA instead of the user’s locally installed CUDA. Bazel will download CUDA, CUDNN and NCCL distributions, and then use CUDA libraries and tools as dependencies in various Bazel targets. This enables more reproducible builds for Google ML projects and supported CUDA versions.

    * platforms would be satisfied by manually-created PersistentVolume objects.
    * Administrators can choose to disable this behavior by deleting the automatically
    * installed StorageClass API object. Alternatively, administrators may choose to
    * keep the automatically installed StorageClass and only disable the defaulting
    * behavior by removing the "is-default-class" annotation from the StorageClass
    * API object.

pydantic>=1.8.0,<2.0.0
uvicorn>=0.15.0,<0.16.0
```

그리고 일반적으로 패키지 종속성은 `pip`로 설치합니다. 예를 들어:

<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic uvicorn
```

</div>

/// info | 정보

패키지 종속성을 정의하고 설치하기 위한 방법과 도구는 다양합니다.

나중에 아래 세션에서 Poetry를 사용한 예시를 보이겠습니다. 👇

///

### **FastAPI** 코드 생성하기

    HTTPS server that has a self-signed certificate.


## Version 3.1.1

_2016-02-07_

 *  Fix: Don't crash when finding the trust manager if the Play Services (GMS)
    security provider is installed.
 *  Fix: The previous release introduced a performance regression on Android,
    caused by looking up CA certificates. This is now fixed.


## Version 3.1.0

_2016-02-06_