}

    @ParameterizedTest
    @DisplayName("Test valid usernames")
    @ValueSource(strings = { "user", "user123", "user.name", "user-name", "user_name", "******@****.***" })
    void testValidUsernames(String username) {
        assertDoesNotThrow(() -> InputValidator.validateUsername(username));
    }

    @ParameterizedTest
    @DisplayName("Test invalid usernames")
    @ValueSource(strings = { "user name", // space

编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

	for index := range users {
		g.Go(func() error {
			userName := strings.TrimSuffix(users[index], ".json")
			userMP, err := iamOS.loadMappedPolicyInternal(ctx, userName, userType, isGroup)
			if err != nil && !errors.Is(err, errNoSuchPolicy) {
				return fmt.Errorf("unable to load the user policy map `%s`: %w", userName, err)
			}
			mappedPolicies[index] = userMP
			return nil
		}, index)
	}

如果你寫帶有 Python 型別的程式碼：

```python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):
    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```


可以像這樣來使用：

```python

                // Invalid value ignored
            }
        }

        // RDMA Configuration
        value = props.getProperty("jcifs.smb.client.useRDMA");
        if (value != null) {
            this.useRDMA = Boolean.parseBoolean(value);
        }

        value = props.getProperty("jcifs.smb.client.rdmaProvider");
        if (value != null) {
            this.rdmaProvider = value;

  PATH_SEPARATOR("path.separator"),

  /** Line separator ("\n" on UNIX). */
  LINE_SEPARATOR("line.separator"),

  /** User's account name. */
  USER_NAME("user.name"),

  /** User's home directory. */
  USER_HOME("user.home"),

  /** User's current working directory. */
  USER_DIR("user.dir");

  private final String key;

  StandardSystemProperty(String key) {

     */
    public static final String USER_DIR = System.getProperty("user.dir");

    /**
     * <code>user.home</code> system property.
     */
    public static final String USER_HOME = System.getProperty("user.home");

    /**
     * Returns the system property value for the specified key.
     *
     * @param key the property key
     * @return the property value, or null if not found
     */

For example, let's say you have 4 API endpoints (*path operations*):

* `/items/public/`
* `/items/private/`
* `/users/{user_id}/activate`
* `/items/pro/`

then you could add different permission requirements for each of them just with dependencies and sub-dependencies:

```mermaid
graph TB

current_user(["current_user"])

型を使用した標準的なPythonを記述します:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str
# and get editor support inside the function
def main(user_id: str):
    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

これは以下のように用いられます:

```Python

def get_password_hash(password):
    return password_hash.hash(password)


def get_user(db, username: str):
    if username in db:
        user_dict = db[username]
        return UserInDB(**user_dict)


def authenticate_user(fake_db, username: str, password: str):
    user = get_user(fake_db, username)
    if not user:
        return False
    if not verify_password(password, user.hashed_password):