* 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

	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
```

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

     * 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

 */
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 {

 * are available from the {@link Interners} class.
 *
 * <p>Note that {@code String.intern()} has some well-known performance limitations, and should
 * generally be avoided. Prefer {@link Interners#newWeakInterner} or another {@code Interner}
 * implementation even for {@code String} interning.
 *
 * @author Kevin Bourrillion
 * @since 3.0
 */
@DoNotMock("Use Interners.new*Interner")

Historically, Gradle has shipped with some Groovy types in very prominent APIs.
This required the Kotlin DSL to add special integration to work with Groovy closures.
This has also forced plugins written in languages other than Groovy to use Groovy types for some APIs.

When the Kotlin DSL was introduced, we made an effort to add non-Groovy equivalents for all APIs.