* <code>Writer</code>.</p> This is a slightly modified version of the
     * StringEscapeUtils.unescapeJava() function in commons-lang that doesn't
     * drop escaped separators (i.e '\,').
     *
     * @param str  the <code>String</code> to unescape, may be null
     * @return the processed string
     * @throws IllegalArgumentException if the Writer is <code>null</code>

				bestIdx = otherIdx
				continue
			}
			if path.Clean(best.name) == path.Clean(other.name) {
				// We may be in a situation where we have a directory and an object with the same name.
				// In that case we will drop the directory entry.
				// This should however not be confused with an object with a trailing slash.
				dirMatches := best.isDir() == other.isDir()

            this.maxSpan = options.dateLimit;

        if (typeof options.opens === 'string')
            this.opens = options.opens;

        if (typeof options.drops === 'string')
            this.drops = options.drops;

        if (typeof options.showWeekNumbers === 'boolean')
            this.showWeekNumbers = options.showWeekNumbers;

        if (typeof options.showISOWeekNumbers === 'boolean')

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

1. Мы по-прежнему импортируем `field` из стандартных `dataclasses`.

2. `pydantic.dataclasses` — полностью совместимая замена (drop-in replacement) для `dataclasses`.

3. Dataclass `Author` содержит список dataclass `Item`.

Bu durumda standart `dataclasses` yerine, drop-in replacement olan `pydantic.dataclasses` kullanabilirsiniz:

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

1. `field` hâlâ standart `dataclasses` içinden import edilir.

2. `pydantic.dataclasses`, `dataclasses` için bir drop-in replacement'tır.

    splits.addLast(stream.spliterator());

    while (!splits.isEmpty()) {
      Spliterator<T> spliterator = splits.removeLast();

      if (spliterator.getExactSizeIfKnown() == 0) {
        continue; // drop this split
      }

      // Many spliterators will have trySplits that are SUBSIZED even if they are not themselves
      // SUBSIZED.
      if (spliterator.hasCharacteristics(Spliterator.SUBSIZED)) {

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`.

}

class IanaSuites(
  val name: String,
  val suites: List<SuiteId>,
) {
  fun fromJavaName(javaName: String): SuiteId =
    suites.firstOrNull {
      it.name == javaName || it.name == "TLS_${javaName.drop(4)}"
    } ?: throw IllegalArgumentException("No such suite: $javaName")
}

suspend fun fetchIanaSuites(okHttpClient: OkHttpClient): IanaSuites {

   * behavior that the {@link File} API does not already account for. For example, on NTFS it will
   * report {@code "txt"} as the extension for the filename {@code "foo.exe:.txt"} even though NTFS
   * will drop the {@code ":.txt"} part of the name when the file is actually created on the
   * filesystem due to NTFS's <a
   * href="https://learn.microsoft.com/en-us/archive/blogs/askcore/alternate-data-streams-in-ntfs">Alternate

    splits.addLast(stream.spliterator());

    while (!splits.isEmpty()) {
      Spliterator<T> spliterator = splits.removeLast();

      if (spliterator.getExactSizeIfKnown() == 0) {
        continue; // drop this split
      }

      // Many spliterators will have trySplits that are SUBSIZED even if they are not themselves
      // SUBSIZED.
      if (spliterator.hasCharacteristics(Spliterator.SUBSIZED)) {