* plugins that require dependency resolution, although they usually run in phases of the build where project
             * artifacts haven't been assembled yet. The prime example of this is "mvn release:prepare".
             */
            if (aggregating && areAllDependenciesInReactor(session.getProjects(), result.getUnresolvedDependencies())) {

///

此处唯一比较新的内容是*路径操作装饰器*中的 `callbacks=invoices_callback_router.routes` 参数，下文介绍。

## 存档回调

实际的回调代码高度依赖于您自己的 API 应用。

并且可能每个应用都各不相同。

回调代码可能只有一两行，比如：

```Python
callback_url = "https://example.com/api/v1/invoices/events/"
requests.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

但回调最重要的部分可能是，根据 API 要发送给回调请求体的数据等内容，确保您的 API 用户（外部开发者）正确地实现*外部 API*。

		writeTimeout        time.Duration
		expectedListenErrs  []bool
	}{
		{[]string{"93.184.216.34:65432"}, time.Duration(0), time.Duration(0), time.Duration(0), []bool{true}},                           // 1
		{[]string{"example.org:65432"}, time.Duration(0), time.Duration(0), time.Duration(0), []bool{true}},                             // 2

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

И, вероятно, он будет заметно отличаться от одного приложения к другому.

Это могут быть буквально одна-две строки кода, например:

```Python
callback_url = "https://example.com/api/v1/invoices/events/"
httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

**FastAPI**将保留来自 `responses` 的附加信息，并将其与模型中的JSON Schema结合起来。

例如，您可以使用状态码 `404` 声明响应，该响应使用`Pydantic`模型并具有自定义的` description` 。

以及一个状态码为 `200` 的响应，它使用您的 `response_model` ，但包含自定义的 `example` ：

{* ../../docs_src/additional_responses/tutorial003.py hl[20:31] *}

所有这些都将被合并并包含在您的OpenAPI中，并在API文档中显示：

## 联合预定义响应和自定义响应

您可能希望有一些应用于许多路径操作的预定义响应，但是你想将不同的路径和自定义的相应组合在一块。

	} `xml:"SystemRecommendations"`
}

// This optional functionality allows vendors to report space information to Veeam products, and Veeam will make placement
// decisions based on this information. For example, Veeam Backup & Replication has a Scale-out-Backup-Repository feature where
// multiple buckets can be used together. The placement logic for additional backup files is based on available space. Other values

![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)

Vous aurez des propositions de complétion que vous n'auriez jamais imaginées. Par exemple la clé `prix` dans le corps d'un document JSON (qui est peut-être imbriqué) venant d'une requête.

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

**Примечание**: Обязательно заключите `"fastapi[standard]"` в кавычки, чтобы это работало во всех терминалах.

## Пример { #example }

### Создание { #create-it }

Создайте файл `main.py` со следующим содержимым:

```Python
from typing import Union

from fastapi import FastAPI

app = FastAPI()

     * If the given language is {@code null}, then this method returns the enabled sources for all languages.
     * An arbitrary number of source roots may exist for the same scope and language.
     * It may be, for example, the case of a multi-versions project.
     * The iteration order is the order in which the sources are declared in the POM file.
     *
     * @param project the project for which to get the enabled source roots