///

## See it in action

Open the interactive docs: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

### Authenticate

Click the "Authorize" button.

Use the credentials:

User: `johndoe`

Password: `secret`

<img src="/img/tutorial/security/image04.png">

After authenticating in the system, you will see it like:

Öffnen Sie die interaktive Dokumentation: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

### Authentifizieren

Klicken Sie auf den Button „Authorize“.

Verwenden Sie die Anmeldedaten:

Benutzer: `johndoe`

Passwort: `secret`.

<img src="/img/tutorial/security/image04.png">

Nach der Authentifizierung im System sehen Sie Folgendes:

说不定什么时候，就有工具用得上它，而且，开发者或用户也可能用得上。

这就是遵循标准的好处……

///

## 实际效果

打开 API 文档：<a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>。

### 身份验证

点击**Authorize**按钮。

使用以下凭证：

用户名：`johndoe`

密码：`secret`

<img src="https://fastapi.tiangolo.com/img/tutorial/security/image04.png">

通过身份验证后，显示下图所示的内容：

  optional bool allowed = 1;

  // Denied is optional. True if the action would be denied, otherwise
  // false. If both allowed is false and denied is false, then the
  // authorizer has no opinion on whether to authorize the action. Denied
  // may not be true if Allowed is true.
  // +optional
  optional bool denied = 4;

  // Reason is optional.  It indicates why a request was allowed or denied.
  // +optional

  optional bool allowed = 1;

  // Denied is optional. True if the action would be denied, otherwise
  // false. If both allowed is false and denied is false, then the
  // authorizer has no opinion on whether to authorize the action. Denied
  // may not be true if Allowed is true.
  // +optional
  optional bool denied = 4;

  // Reason is optional.  It indicates why a request was allowed or denied.
  // +optional

    visibility = ["//visibility:public"],
    deps = [
        ":tensorflow_py_no_contrib",
        "//tensorflow/lite/python:analyzer",
        "//tensorflow/lite/python:lite",
        "//tensorflow/lite/python/authoring",
    ],
)

py_library(
    name = "tensorflow_py_no_contrib",
    srcs = select({
        "api_version_2": [":tf_python_api_gen_v2"],
        "//conditions:default": [":tf_python_api_gen_v1"],

그것이 표준의 이점입니다 ...

///

## 확인하기

대화형 문서 열기: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

### 인증하기

"Authorize" 버튼을 눌러봅시다.

자격 증명을 사용합니다.

유저명: `johndoe`

패스워드: `secret`

<img src="/img/tutorial/security/image04.png">

시스템에서 인증하면 다음과 같이 표시됩니다:

<img src="/img/tutorial/security/image05.png">

///

## Veja em ação

Abra o docs interativo: <a href="http://127.0.0.1:8000/docs" class="external-link" target="_blank">http://127.0.0.1:8000/docs</a>.

### Autenticação

Clique no botão "Authorize".

Use as credenciais:

User: `johndoe`

Password: `secret`

<img src="/img/tutorial/security/image04.png">

Após autenticar no sistema, você verá assim:

		References: []Reference{{"ID", "User", "UserRefer", "Profile", "", true}},
	})
}

type Author struct {
	gorm.Model
}

type Book struct {
	gorm.Model
	Author   Author
	AuthorID uint
}

func (Book) TableName() string {
	return "my_schema.a_very_very_very_very_very_very_very_very_long_table_name"
}

func TestParseConstraintNameWithSchemaQualifiedLongTableName(t *testing.T) {

  - The requested name does not match the set of authorized names (x509.HostnameError)
  - The error surfaced after attempting a connection contains one of the substrings: "certificate is not trusted" or "certificate signed by unknown authority" ([#120765](https://github.com/kubernetes/kubernetes/pull/120765), [@MadhavJivrajani](https://github.com/MadhavJivrajani)) [SIG Architecture and Cloud Provider]