@GwtCompatible
abstract class CommonMatcher {
  public abstract boolean matches();

  public abstract boolean find();

  public abstract boolean find(int index);

  public abstract String replaceAll(String replacement);

  public abstract int end();

  public abstract int start();

   * should either throw an appropriate runtime exception or return a suitable replacement
   * character. It must never silently discard invalid input as this may constitute a security risk.
   *
   * @param cp the Unicode code point to escape if necessary
   * @return the replacement characters, or {@code null} if no escaping was needed
   */
  protected abstract char @Nullable [] escape(int cp);

  /**

append(newDecls, decl) } f.Decls = newDecls // Replace identifiers. ast.Inspect(f, func(n ast.Node) bool { switch x := n.(type) { case *ast.Ident: if replacement, ok := replacements[x.Name]; ok { x.Name = replacement } } return true }) // Replace identifiers in comments. for _, c := range f.Comments { for _, l := range c.List { for k, v := range replacements { if k == "k" { continue } l.Text = strings.ReplaceAll(l.Text, k, v) } } } out, err := os.Create(*outputFile) if err != nil { log.Fatal(err) } defer...

* Existing usages of Serializer outside of this infrastructure should be migrated to use it.
* Existing usages of Java serialization should be migrated to use it.
* It is ok for Serializer to be used as a replacement for Java serialization as a migration step.

     * @param replacement the replacement string
     * @return string with all matches replaced, or empty string if input is null
     */
    public static String replace(final Object input, final String regex, final String replacement) {
        if (input == null) {
            return StringUtil.EMPTY;
        }
        return input.toString().replaceAll(regex, replacement);
    }

    /**

Dans ce cas, vous pouvez simplement remplacer les `dataclasses` standard par `pydantic.dataclasses`, qui est un remplacement drop‑in :

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. Nous continuons à importer `field` depuis les `dataclasses` standard.

2. `pydantic.dataclasses` est un remplacement drop‑in pour `dataclasses`.

3. La dataclass `Author` inclut une liste de dataclasses `Item`.

}

// LockedOpenFile - initializes a new lock and protects
// the file from concurrent access across mount points.
// This implementation doesn't support all the open
// flags and shouldn't be considered as replacement
// for os.OpenFile().
func LockedOpenFile(path string, flag int, perm os.FileMode) (*LockedFile, error) {
	return lockedOpenFile(path, flag, perm, 0)
}

// Open - Call os.OpenFile

        final Matcher matcher = pattern.matcher("test");
        final BiFunction<String, Matcher, String> pathMatcher = pathMappingHelper.createPathMatcher(matcher, "replacement");

        String result = pathMatcher.apply("test", matcher);
        assertEquals("replacement", result);
    }

    @Test
    public void test_load_withoutPathMappingBhv() {
        final PathMappingHelper helper = new PathMappingHelper();

}

// LockedOpenFile - initializes a new lock and protects
// the file from concurrent access across mount points.
// This implementation doesn't support all the open
// flags and shouldn't be considered as replacement
// for os.OpenFile().
func LockedOpenFile(path string, flag int, perm os.FileMode) (*LockedFile, error) {
	return lockedOpenFile(path, flag, perm, syscall.F_SETLKW)
}

// Open - Call os.OpenFile

  }

  /**
   * Returns {@link Collection#stream}.
   *
   * @deprecated There is no reason to use this; just invoke {@code collection.stream()} directly.
   */
  @Deprecated
  @InlineMe(replacement = "collection.stream()")
  public static <T extends @Nullable Object> Stream<T> stream(Collection<T> collection) {
    return collection.stream();
  }

  /**