import tensorflow_io_gcs_filesystem as _tensorflow_io_gcs_filesystem

# Lazy-load Keras v1.
_tf_uses_legacy_keras = (
    _os.environ.get("TF_USE_LEGACY_KERAS", None) in ("true", "True", "1"))
setattr(_current_module, "keras", _KerasLazyLoader(globals(), mode="v1"))
_module_dir = _module_util.get_parent_dir_for_name("keras._tf_keras.keras")
_current_module.__path__ = [_module_dir] + _current_module.__path__

// license that can be found in the LICENSE file.

package p4

type Pair[T1 interface{ M() }, T2 ~int] struct {
	f1 T1
	f2 T2
}

func NewPair[T1 interface{ M() }, T2 ~int](v1 T1, v2 T2) Pair[T1, T2] {
	return Pair[T1, T2]{f1: v1, f2: v2}
}

func (p Pair[X1, _]) First() X1 {
	return p.f1
}

func (p Pair[_, X2]) Second() X2 {
	return p.f2
}

// Deprecated: Use something else.

          C extends @Nullable Object,
          V1 extends @Nullable Object,
          V2 extends @Nullable Object>
      extends AbstractTable<R, C, V2> {
    final Table<R, C, V1> fromTable;
    final Function<? super V1, V2> function;

    TransformedTable(Table<R, C, V1> fromTable, Function<? super V1, V2> function) {
      this.fromTable = checkNotNull(fromTable);
      this.function = checkNotNull(function);

Como `item.model_dump(exclude_unset=True)`.

/// info | Información

En Pydantic v1 el método se llamaba `.dict()`, fue deprecado (pero aún soportado) en Pydantic v2, y renombrado a `.model_dump()`.

Los ejemplos aquí usan `.dict()` para compatibilidad con Pydantic v1, pero deberías usar `.model_dump()` si puedes usar Pydantic v2.

///

Wie in `item.model_dump(exclude_unset=True)`.

/// info

In Pydantic v1 hieß diese Methode `.dict()`, in Pydantic v2 wurde sie deprecated (aber immer noch unterstützt) und in `.model_dump()` umbenannt.

Die Beispiele hier verwenden `.dict()` für die Kompatibilität mit Pydantic v1, Sie sollten jedoch stattdessen `.model_dump()` verwenden, wenn Sie Pydantic v2 verwenden können.

///

public class MultimapKeysTester<K, V> extends AbstractMultimapTester<K, V, Multimap<K, V>> {
  @CollectionSize.Require(SEVERAL)
  public void testKeys() {
    resetContainer(mapEntry(k0(), v0()), mapEntry(k0(), v1()), mapEntry(k1(), v0()));
    Multiset<K> keys = multimap().keys();
    assertEquals(2, keys.count(k0()));
    assertEquals(1, keys.count(k1()));
    assertEquals(3, keys.size());
    assertContainsAllOf(keys, k0(), k1());

        assertEquals(2, WitnessVersion.values().length);

        WitnessVersion v1 = WitnessVersion.VERSION_1;
        WitnessVersion v2 = WitnessVersion.VERSION_2;

        assertEquals(0x00010001, v1.getValue());
        assertEquals(0x00020000, v2.getValue());

        // Verify version ordering
        assertTrue(v2.getValue() > v1.getValue());
    }

    @Test
    void testWitnessEventTypes() {

public class MultimapKeysTester<K, V> extends AbstractMultimapTester<K, V, Multimap<K, V>> {
  @CollectionSize.Require(SEVERAL)
  public void testKeys() {
    resetContainer(mapEntry(k0(), v0()), mapEntry(k0(), v1()), mapEntry(k1(), v0()));
    Multiset<K> keys = multimap().keys();
    assertEquals(2, keys.count(k0()));
    assertEquals(1, keys.count(k1()));
    assertEquals(3, keys.size());
    assertContainsAllOf(keys, k0(), k1());

  public static <K, V> ImmutableMap<K, V> of(K k1, V v1) {
    return ImmutableBiMap.of(k1, v1);
  }

  /**
   * Returns an immutable map containing the given entries, in order.
   *
   * @throws IllegalArgumentException if duplicate keys are provided
   */
  public static <K, V> ImmutableMap<K, V> of(K k1, V v1, K k2, V v2) {
    return RegularImmutableMap.fromEntries(entryOf(k1, v1), entryOf(k2, v2));
  }

  /**

Como `item.model_dump(exclude_unset=True)`.

/// info | Informação

No Pydantic v1, o método que era chamado `.dict()` e foi depreciado (mas ainda suportado) no Pydantic v2. Agora, deve-se usar o método `.model_dump()`.

Os exemplos aqui usam `.dict()` para compatibilidade com o Pydantic v1, mas você deve usar `.model_dump()` a partir do Pydantic v2.

///