if err == nil {
		c.Fatalf("user account was not disabled!")
	}

	// 5. Check that user can be deleted and verify it.
	err = s.adm.RemoveUser(ctx, accessKey)
	if err != nil {
		c.Fatalf("user could not be deleted: %v", err)
	}
	usersMap, err = s.adm.ListUsers(ctx)
	if err != nil {
		c.Fatalf("error listing: %v", err)
	}
	_, ok = usersMap[accessKey]
	if ok {
		c.Fatalf("user not deleted: %s", accessKey)
	}

            "The specified user does not exist.", "The specified network password is not correct.",
            "Logon failure: unknown user name or bad password.", "Logon failure: user account restriction.",
            "Logon failure: account logon time restriction violation.", "Logon failure: user not allowed to log on to this computer.",

		// In case of LDAP/OIDC we need to set `opts.claims` to ensure
		// it is associated with the LDAP/OIDC user properly.
		for k, v := range cred.Claims {
			if k == expClaim {
				continue
			}
			opts.claims[k] = v
		}
	} else {
		// We still need to ensure that the target user is a valid LDAP user.
		//
		// The target user may be supplied as a (short) username or a DN.

from pydantic import BaseModel

app = FastAPI()

api_key = APIKeyCookie(name="key")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)
    return user


@app.get("/users/me")
def read_current_user(current_user: User = Depends(get_current_user)):
    return current_user


def test_security_api_key():

app = FastAPI()

api_key = APIKeyCookie(name="key", description="An API Cookie Key")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)
    return user


@app.get("/users/me")
def read_current_user(current_user: User = Depends(get_current_user)):
    return current_user


def test_security_api_key():

Usa base64 solo si definitivamente necesitas incluir datos binarios en JSON y no puedes usar archivos para eso.

## Pydantic `bytes` { #pydantic-bytes }

	AssertEqual(t, names2, []string{"distinct", "distinct", "distinct", "distinct-2", "distinct-3"})

	var results []User
	if err := DB.Distinct("name", "age").Where("name like ?", "distinct%").Order("name, age desc").Find(&results).Error; err != nil {
		t.Errorf("failed to query users, got error: %v", err)
	}

	expects := []User{
		{Name: "distinct", Age: 20},
		{Name: "distinct", Age: 18},
		{Name: "distinct-2", Age: 18},

Você pode declarar o tipo usado para a resposta anotando o **tipo de retorno** da *função de operação de rota*.

Você pode usar **anotações de tipo** da mesma forma que usaria para dados de entrada em **parâmetros** de função, você pode usar modelos Pydantic, listas, dicionários, valores escalares como inteiros, booleanos, etc.

{* ../../docs_src/response_model/tutorial001_01_py310.py hl[16,21] *}

		case len(entities.UserMappings) != 1:
			c.Fatalf("Expected to find exactly one user mapping")
		case entities.UserMappings[0].User != testCase.expectedOutDN:
			c.Fatalf("Expected user DN `%s`, found `%s`", testCase.expectedOutDN, entities.UserMappings[0].User)
		case len(entities.UserMappings[0].Policies) != 1:
			c.Fatalf("Expected exactly one policy attached to user")
		case entities.UserMappings[0].Policies[0] != policy:

    }

    /**
     * Returns the user account control flags.
     * @return the user account control value
     */
    public int getUserAccountControl() {
        return this.userAccountControl;
    }

    /**
     * Returns the user flags indicating PAC content.
     * @return the user flags value
     */
    public int getUserFlags() {
        return this.userFlags;
    }