Auf die gleiche Weise wie bei Pydantic-Modellen deklarieren Sie Klassenattribute mit Typannotationen und möglicherweise Defaultwerten.

Sie können dieselben Validierungs-Funktionen und -Tools verwenden, die Sie für Pydantic-Modelle verwenden, z. B. verschiedene Datentypen und zusätzliche Validierungen mit `Field()`.

//// tab | Pydantic v2

{* ../../docs_src/settings/tutorial001.py hl[2,5:8,11] *}

////

     * the server responds with `HTTP/1.0`, that will be exposed by [Response.protocol].
     *
     * [alpn]: http://tools.ietf.org/html/draft-ietf-tls-applayerprotoneg
     * [rfc_2616]: http://www.w3.org/Protocols/rfc2616/rfc2616.html
     * [rfc_7540]: https://tools.ietf.org/html/rfc7540
     * [rfc_7540_34]: https://tools.ietf.org/html/rfc7540#section-3.4
     *

Trong lần khảo sát cuối cùng dành cho các lập trình viên Python, đã rõ ràng <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">rằng đa số các lập trình viên sử dụng tính năng "autocompletion"</a>.

	h.Modified = t
	h.ModifiedDate, h.ModifiedTime = timeToMsDosTime(t)
}

const (
	// Unix constants. The specification doesn't mention them,
	// but these seem to be the values agreed on by tools.
	s_IFMT   = 0xf000
	s_IFSOCK = 0xc000
	s_IFLNK  = 0xa000
	s_IFREG  = 0x8000
	s_IFBLK  = 0x6000
	s_IFDIR  = 0x4000
	s_IFCHR  = 0x2000
	s_IFIFO  = 0x1000
	s_ISUID  = 0x800
	s_ISGID  = 0x400

Das ist besonders nützlich, wenn Sie es in einer **großen Codebasis** verwenden, in der Sie in **vielen *Pfadoperationen*** immer wieder **dieselben Abhängigkeiten** verwenden.

## `async` oder nicht `async`

Ostatnia ankieta <abbr title="coroczna ankieta przeprowadza w środowisku programistów języka Python">Python developer survey</abbr> jasno wskazuje, że <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">najczęściej używaną funkcjonalnością jest autouzupełnianie w edytorze</a>.

Cała struktura frameworku **FastAPI** jest na tym oparta. Autouzupełnianie działa wszędzie.

* `internal`: Internal
    * Use this for changes that only affect how the repo is managed. For example upgrades to internal dependencies, changes in GitHub Actions or scripts, etc.

/// tip

Some tools like Dependabot, will add some labels, like `dependencies`, but have in mind that this label is not used by the `latest-changes` GitHub Action, so it won't be used in the release notes. Please make sure one of the labels above is added.

Na última pesquisa do desenvolvedor Python ficou claro <a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank">que o recurso mais utilizado é o "auto completar"</a>.

Todo o _framework_ **FastAPI** é feito para satisfazer isso. Auto completação funciona em todos os lugares.

///

### 多種編輯器支援

整個框架的設計是為了讓使用變得簡單且直觀，在開始開發之前，所有決策都在多個編輯器上進行了測試，以確保提供最佳的開發體驗。

在最近的 Python 開發者調查中，我們能看到<a href="https://www.jetbrains.com/research/python-developers-survey-2017/#tools-and-features" class="external-link" target="_blank"> 被使用最多的功能是 autocompletion</a>，此功能可以預測將要輸入文字，並自動補齊。

整個 **FastAPI** 框架就是基於這一點，任何地方都可以進行自動補齊。

你幾乎不需要經常來回看文件。

在這裡，你的編輯器可能會這樣幫助你：

    boolean getVerbose();

    @Nonnull
    PathScope getPathScope();

    /**
     * Returns a filter for the types of path (class-path, module-path, …) accepted by the tool.
     * For example, if a Java tools accepts only class-path elements, then the filter should return
     * {@code true} for {@link JavaPathType#CLASSES} and {@code false} for {@link JavaPathType#MODULES}.