Arrays.sort(array, fromIndex, toIndex);
    reverse(array, fromIndex, toIndex);
  }

  /**
   * Reverses the elements of {@code array}. This is equivalent to {@code
   * Collections.reverse(Chars.asList(array))}, but is likely to be more efficient.
   *
   * @since 23.1
   */
  public static void reverse(char[] array) {
    checkNotNull(array);
    reverse(array, 0, array.length);
  }

  /**

        ArtifactFilter scopeFilter = new ScopeArtifactFilter( scope );

        ArtifactFilter filter;

        if ( ! exclusions.isEmpty() )
        {
            filter = new AndArtifactFilter( Arrays.asList( new ArtifactFilter[]{
                new ExcludesArtifactFilter( exclusions ), scopeFilter } ) );
        }
        else
        {
            filter = scopeFilter;
        }
        */

  }

  @Override
  public ImmutableSortedSet<E> elementSet() {
    return forward.elementSet().descendingSet();
  }

  @Override
  Entry<E> getEntry(int index) {
    return forward.entrySet().asList().reverse().get(index);
  }

  @Override
  public ImmutableSortedMultiset<E> descendingMultiset() {
    return forward;
  }

  @Override

    return values


async def request_body_to_args(
    body_fields: List[ModelField],
    received_body: Optional[Union[Dict[str, Any], FormData]],
    embed_body_fields: bool,
) -> Tuple[Dict[str, Any], List[Dict[str, Any]]]:
    values: Dict[str, Any] = {}
    errors: List[Dict[str, Any]] = []
    assert body_fields, "request_body_to_args() should be called with fields"

#### 別のモデルからつくるPydanticモデル

上述の例では`user_in.dict()`から`user_dict`をこのコードのように取得していますが:

```Python
user_dict = user_in.dict()
UserInDB(**user_dict)
```

これは以下と同等です:

```Python
UserInDB(**user_in.dict())
```

...なぜなら`user_in.dict()`は`dict`であり、`**`を付与して`UserInDB`を渡してPythonに「展開」させているからです。

そこで、別のPydanticモデルのデータからPydanticモデルを取得します。

#### `dict`の展開と追加引数

   * <p><b>Note:</b> when possible, you should represent your data as an {@link ImmutableLongArray}
   * instead, which has an {@link ImmutableLongArray#asList asList} view.
   *
   * @param backingArray the array to back the list
   * @return a list view of the array
   */
  public static List<Long> asList(long... backingArray) {
    if (backingArray.length == 0) {
      return Collections.emptyList();
    }

   * <p><b>Note:</b> when possible, you should represent your data as an {@link ImmutableLongArray}
   * instead, which has an {@link ImmutableLongArray#asList asList} view.
   *
   * @param backingArray the array to back the list
   * @return a list view of the array
   */
  public static List<Long> asList(long... backingArray) {
    if (backingArray.length == 0) {
      return Collections.emptyList();
    }

  @SuppressWarnings("rawtypes") // class literals
  @Override
  protected List<Class<? extends AbstractTester>> getTesters() {
    return Arrays.<Class<? extends AbstractTester>>asList(
        CollectionAddAllTester.class,
        CollectionAddTester.class,
        CollectionClearTester.class,
        CollectionContainsAllTester.class,
        CollectionContainsTester.class,

    this.mapCache = mapCache;
  }

  @Parameters
  public static Collection<Object[]> parameters() {
    Comparator<String> nullsLast = Ordering.natural().nullsLast();

    return Arrays.asList(
        new Object[][] {
          {new MapIteratorCache<String, String>(new HashMap<String, String>())},
          {new MapIteratorCache<String, String>(new TreeMap<String, String>(nullsLast))},

    ) -> Any:
        return {}

    def get_model_definitions(
        *,
        flat_models: Set[Union[Type[BaseModel], Type[Enum]]],
        model_name_map: Dict[Union[Type[BaseModel], Type[Enum]], str],
    ) -> Dict[str, Any]:
        definitions: Dict[str, Dict[str, Any]] = {}
        for model in flat_models:
            m_schema, m_definitions, m_nested_models = model_process_schema(