earlierVersions.forEach(earlierVersion -> {
            // 2. Find all the changelog files it contained
            Set<String> filesInTreeForVersion = gitWrapper.listFiles("v" + earlierVersion, "docs/changelog")
                .map(line -> Path.of(line).getFileName().toString())
                .collect(toSet());

            Set<File> filesForVersion = new HashSet<>();

labels.file_crawling_configuration=File Crawling
labels.file_crawling_title_details=File Crawling Config
labels.included_paths=Included Paths
labels.excluded_paths=Excluded Paths
labels.included_doc_paths=Included Doc Paths
labels.excluded_doc_paths=Excluded Doc Paths
labels.config_parameter=Config Parameters
labels.max_access_count=Max Access Count
labels.number_of_thread=Number of Threads
labels.interval_time=Interval
labels.millisec=msec

그런 경우에는 일반적인 검증(예: 값이 `str`인지 검증한 뒤) 이후에 적용되는 **커스텀 검증 함수**를 사용할 수 있습니다.

`Annotated` 안에서 [Pydantic의 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator)를 사용하면 이를 구현할 수 있습니다.

/// tip | 팁

Pydantic에는 [BeforeValidator](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator)와 같은 다른 것들도 있습니다. 🤓

///

	// requirements -
	//
	// ```
	//    The canonical user ID is the Amazon S3–only concept.
	//    It is 64-character obfuscated version of the account ID.
	// ```
	// http://docs.aws.amazon.com/AmazonS3/latest/dev/example-walkthroughs-managing-access-example4.html
	globalMinioDefaultOwnerID      = "02d6176db174dc93cb1b899f7c6078f08654445fe8cf1b6ce98d8855f66bdbf4"
	globalMinioDefaultStorageClass = "STANDARD"

enabling the HTTP/2 use by the HTTP client broke programs
connecting to servers with buggy HTTP/2 implementations.
These kinds of changes are unavoidable and
[permitted by the Go 1 compatibility rules](/doc/go1compat).
Even so, Go provides a mechanism called GODEBUG to
reduce the impact such changes have on Go developers
using newer toolchains to compile old code.

A GODEBUG setting is a `key=value` pair

對 FastAPI 而言，它會查看回傳型別，並確保你回傳的內容只包含該型別中宣告的欄位。

FastAPI 在內部會搭配 Pydantic 做一些事情，來確保不會把類別繼承的那些規則直接用在回傳資料的過濾上，否則你可能會回傳比預期更多的資料。

如此，你就能同時擁有兩種好處：具備工具支援的型別註解，以及資料過濾。

## 在文件中查看 { #see-it-in-the-docs }

在自動文件中，你可以看到輸入模型與輸出模型各自都有自己的 JSON Schema：

<img src="/img/tutorial/response-model/image01.png">

而且兩個模型都會用在互動式 API 文件中：

<img src="/img/tutorial/response-model/image02.png">

有些情况下你需要做一些无法通过上述参数完成的**自定义校验**。

在这些情况下，你可以使用**自定义校验函数**，该函数会在正常校验之后应用（例如，在先校验值是 `str` 之后）。

你可以在 `Annotated` 中使用 [Pydantic 的 `AfterValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator) 来实现。

/// tip | 提示

Pydantic 还有 [`BeforeValidator`](https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator) 等。🤓

///

你可以运行这个应用：

<div class="termy">

```console
$ fastapi dev

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

然后在 `/docs` UI 中，你能够看到 **FastAPI** 会用这些**模型**来**记录** API，并且还会用它们来**序列化**和**验证**数据。

<div class="screenshot">
<img src="/img/tutorial/sql-databases/image01.png">
</div>

## 使用多个模型更新应用 { #update-the-app-with-multiple-models }

   <span style="background-color:#007166"><font color="#D3D7CF"> server </font></span>  Documentation at <font color="#729FCF"><u style="text-decoration-style:solid">http://0.0.0.0:8000/docs</u></font>

             Logs:

)

# The interface library (tensorflow.dll.if.lib) for linking tensorflow DLL library (tensorflow.dll) on Windows.
# To learn more about import library (called interface library in Bazel):
#     https://docs.microsoft.com/en-us/cpp/build/linking-an-executable-to-a-dll?view=vs-2017#linking-implicitly
filegroup(
    name = "get_tensorflow_dll_import_lib",
    srcs = ["//tensorflow:tensorflow.dll"],