* It also handles the conversion of voiced and semi-voiced sound marks.
 *
 * <p>This class provides the following functionalities:</p>
 * <ul>
 *   <li>Normalization of a string containing Hankaku Kana to Zenkaku Kana.</li>
 *   <li>Conversion of individual Hankaku Kana characters to Zenkaku Kana characters.</li>
 *   <li>Handling of voiced (ﾞ) and semi-voiced (ﾟ) sound marks to produce the correct Zenkaku Kana characters.</li>

309B          ; disallowed_STD3_mapped ; 0020 3099     # 1.1  KATAKANA-HIRAGANA VOICED SOUND MARK
309C          ; disallowed_STD3_mapped ; 0020 309A     # 1.1  KATAKANA-HIRAGANA SEMI-VOICED SOUND MARK
309D..309E    ; valid                                  # 1.1  HIRAGANA ITERATION MARK..HIRAGANA VOICED ITERATION MARK

    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```
Qui peuvent ensuite être utilisés comme cela:

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

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

só
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	sort.Strings(preloadNames)

	isJoined := func(name string) (joined bool, nestedJoins []string) {
		for _, join := range joins {
			if _, ok := relationships.Relations[join]; ok && name == join {
				joined = true
				continue
			}
			join0, join1, cut := strings.Cut(join, ".")
			if cut {
				if _, ok := relationships.Relations[join0]; ok && name == join0 {
					joined = true
					nestedJoins = append(nestedJoins, join1)
				}

    return user_id


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

👈 💪 ⤴️ ⚙️ 💖:

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

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

`**second_user_data` ⛓:

    return user_id


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

Vervolgens kan je het op deze manier gebruiken:

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

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

    return user_id


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

Sau đó có thể được sử dụng:

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

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

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

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```


/// info

    return user_id


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

که سپس میتوان به این شکل از آن استفاده کرد:

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

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info