/**
   * Returns an encoding that behaves equivalently to this encoding, but omits any padding
   * characters as specified by <a href="http://tools.ietf.org/html/rfc4648#section-3.2">RFC 4648
   * section 3.2</a>, Padding of Encoded Data.
   */
  public abstract BaseEncoding omitPadding();

  /**
   * Returns an encoding that behaves equivalently to this encoding, but uses an alternate character

  // We need to test that our method behaves like the JDK method.
  @SuppressWarnings("InlineMeInliner")
  public void testHashCode() {
    for (long value : VALUES) {
      assertWithMessage("hashCode for %s", value)
          .that(Longs.hashCode(value))
          .isEqualTo(Long.hashCode(value));
    }
  }

  // We need to test that our method behaves like the JDK method.
  @SuppressWarnings("InlineMeInliner")

*   `tf.data`
    *   Changes rebatching for `tf.data datasets` + DistributionStrategy for
        better performance. Note that the dataset also behaves slightly
        differently, in that the rebatched dataset cardinality will always be a
        multiple of the number of replicas.
    *   `tf.data.Dataset` now supports automatic data distribution and sharding

    if (!allowNulls) {
      // behave badly
      checkNotNull(object);
    }
    Platform.checkCast(type, object); // behave badly
    return asList(contents).contains(object);
  }

  @Override
  public boolean containsAll(Collection<?> collection) {
    if (!allowNulls) {
      for (Object object : collection) {
        // behave badly
        if (object == null) {

    if (!allowNulls) {
      // behave badly
      checkNotNull(object);
    }
    Platform.checkCast(type, object); // behave badly
    return asList(contents).contains(object);
  }

  @Override
  public boolean containsAll(Collection<?> collection) {
    if (!allowNulls) {
      for (Object object : collection) {
        // behave badly
        if (object == null) {

Você também pode declarar um corpo como um `dict` com chaves de algum tipo e valores de outro tipo.

Sem ter que saber de antemão quais são os nomes de campos/atributos válidos (como seria o caso dos modelos Pydantic).

Isso seria útil se você deseja receber chaves que ainda não conhece.

---

Outro caso útil é quando você deseja ter chaves de outro tipo, por exemplo, `int`.

É isso que vamos ver aqui.

    return method.getName().startsWith("tryEnter");
  }

  /**
   * Identifies just enterIfXxx methods (a subset of {@link #isAnyEnter}), which are mostly like the
   * enterXxx methods but behave like tryEnterXxx in some scenarios.
   */
  private static boolean isEnterIf(Method method) {
    return method.getName().startsWith("enterIf");
  }

  }

  public void testReverseReverse() {
    Converter<String, Long> converter = STR_TO_LONG;
    assertEquals(converter, converter.reverse().reverse());
  }

  // We need to test that apply() does in fact behave like convert().
  @SuppressWarnings("InlineMeInliner")
  public void testApply() {
    assertEquals(LONG_VAL, STR_TO_LONG.apply(STR_VAL));
  }

  private static class StringWrapper {

    return method.getName().startsWith("tryEnter");
  }

  /**
   * Identifies just enterIfXxx methods (a subset of {@link #isAnyEnter}), which are mostly like the
   * enterXxx methods but behave like tryEnterXxx in some scenarios.
   */
  private static boolean isEnterIf(Method method) {
    return method.getName().startsWith("enterIf");
  }

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info | Informação

`**second_user_data` quer dizer:

Passe as chaves e valores do dicionário `second_user_data` diretamente como argumentos chave-valor, equivalente a: `User(id=4, name="Mary", joined="2018-11-30")`

///

### Suporte de editores { #editor-support }