if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *nsScannerOptions) Msgsize() (s int) {
	s = 1 + 3 + msgp.StringPrefixSize + len(z.DiskID) + 2 + msgp.IntSize + 2
	if z.Cache == nil {
		s += msgp.NilSize
	} else {
		s += z.Cache.Msgsize()
	}

    reserialize(TypeToken.of(String.class));
    reserialize(TypeToken.of(String.class).getTypes());
    reserialize(TypeToken.of(String.class).getTypes().classes());
    reserialize(TypeToken.of(String.class).getTypes().interfaces());
    reserialize(TypeToken.of(String.class).getTypes().rawTypes());
    reserialize(TypeToken.of(String.class).getTypes().classes().rawTypes());

}
```

## Pydantic `bytes` para dados de saída { #pydantic-bytes-for-output-data }

Você também pode usar campos `bytes` com `ser_json_bytes` na configuração do modelo para dados de saída, e o Pydantic irá *serializar* os bytes como base64 ao gerar a response JSON.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

   *
   * <p>The returned supplier is thread-safe. The delegate's {@code get()} method will be invoked at
   * most once unless the underlying {@code get()} throws an exception. The supplier's serialized
   * form does not contain the cached value, which will be recalculated when {@code get()} is called
   * on the deserialized instance.
   *

  public void testSerialization() {
    assertThat(reserialize(ImmutableIntArray.of())).isSameInstanceAs(ImmutableIntArray.of());
    assertThat(reserialize(ImmutableIntArray.of(0, 1).subArray(1, 1)))
        .isSameInstanceAs(ImmutableIntArray.of());

    ImmutableIntArray iia = ImmutableIntArray.of(0, 1, 3, 6).subArray(1, 3);
    ImmutableIntArray iia2 = reserialize(iia);
    assertThat(iia2).isEqualTo(iia);

			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BucketReplicationResyncStatus) Msgsize() (s int) {
	s = 1 + 2 + msgp.IntSize + 4 + msgp.MapHeaderSize
	if z.TargetsMap != nil {
		for za0001, za0002 := range z.TargetsMap {
			_ = za0002

  public void testSerialization() {
    assertThat(reserialize(ImmutableIntArray.of())).isSameInstanceAs(ImmutableIntArray.of());
    assertThat(reserialize(ImmutableIntArray.of(0, 1).subArray(1, 1)))
        .isSameInstanceAs(ImmutableIntArray.of());

    ImmutableIntArray iia = ImmutableIntArray.of(0, 1, 3, 6).subArray(1, 3);
    ImmutableIntArray iia2 = reserialize(iia);
    assertThat(iia2).isEqualTo(iia);

Con un response model, FastAPI usará Pydantic para serializar los datos a JSON, sin pasos intermedios, como convertirlos con `jsonable_encoder`, que ocurriría en cualquier otro caso.

Y por debajo, Pydantic usa los mismos mecanismos en Rust que `orjson` para serializar a JSON, así que ya obtendrás el mejor rendimiento con un response model.

    reserialize(TypeToken.of(String.class));
    reserialize(TypeToken.of(String.class).getTypes());
    reserialize(TypeToken.of(String.class).getTypes().classes());
    reserialize(TypeToken.of(String.class).getTypes().interfaces());
    reserialize(TypeToken.of(String.class).getTypes().rawTypes());
    reserialize(TypeToken.of(String.class).getTypes().classes().rawTypes());

      hashCode = ~~hashCode;
      // needed to deal with GWT integer overflow
    }
    return hashCode;
  }

  /*
   * Serializes ImmutableLists as their logical contents. This ensures that
   * implementation types do not leak into the serialized representation.
   */
  @J2ktIncompatible // serialization
  static final class SerializedForm implements Serializable {
    final Object[] elements;