* 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>

    return user_id


# Un modèle Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Qui peuvent ensuite être utilisés comme ceci :

```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

  // Test that you can not expand the readable data in a previously sliced ByteSource.
  public void testSlice_constrainedRange() throws IOException {
    long size = source.read().length;
    if (size >= 2) {
      ByteSource sliced = source.slice(1, size - 2);
      assertEquals(size - 2, sliced.read().length);
      ByteSource resliced = sliced.slice(0, size - 1);
      assertTrue(sliced.contentEquals(resliced));
    }
  }

  // Test that you can not expand the readable data in a previously sliced ByteSource.
  public void testSlice_constrainedRange() throws IOException {
    long size = source.read().length;
    if (size >= 2) {
      ByteSource sliced = source.slice(1, size - 2);
      assertEquals(size - 2, sliced.read().length);
      ByteSource resliced = sliced.slice(0, size - 1);
      assertTrue(sliced.contentEquals(resliced));
    }
  }

	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


# 一个 Pydantic 模型
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")

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

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


/// info | 信息

     * Share flag indicating that exclusive opens are restricted on this share.
     */
    public static final int SMB2_SHAREFLAG_RESTRICT_EXCLUSIVE_OPENS = 0x100;
    /**
     * Share flag indicating that shared delete is forced for this share.
     */
    public static final int SMB2_SHAREFLAG_FORCE_SHARED_DELETE = 0x200;
    /**
     * Share flag indicating that namespace caching is allowed on this share.
     */

    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

`**second_user_data` 意思是:

# Types Python avancés { #advanced-python-types }

Voici quelques idées supplémentaires qui peuvent être utiles lorsque vous travaillez avec les types Python.

## Utiliser `Union` ou `Optional` { #using-union-or-optional }

 */
class SmbFilenameFilterTest {

    @Test
    void acceptReturnsTrueWhenNameMatches() throws Exception {
        SmbFile dir = Mockito.mock(SmbFile.class);
        SmbFilenameFilter filter = (d, n) -> n.equalsIgnoreCase("hello.txt");
        assertTrue(filter.accept(dir, "Hello.TXT"));
    }

    @Test
    void acceptReturnsFalseWhenNameDoesNotMatch() throws Exception {