@CanIgnoreReturnValue
    public <S extends Set<E>> S copyInto(S set) {
      set.addAll(this);
      return set;
    }

    /**
     * Guaranteed to throw an exception and leave the collection unmodified.
     *
     * @throws UnsupportedOperationException always
     * @deprecated Unsupported operation.
     */
    @CanIgnoreReturnValue
    @Deprecated
    @Override

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 }

	return quorumErr
}

// reduceReadQuorumErrs behaves like reduceErrs but only for returning
// values of maximally occurring errors validated against readQuorum.
func reduceReadQuorumErrs(ctx context.Context, errs []error, ignoredErrs []error, readQuorum int) (maxErr error) {
	return reduceQuorumErrs(ctx, errs, ignoredErrs, readQuorum, errErasureReadQuorum)
}

// reduceWriteQuorumErrs behaves like reduceErrs but only for returning

   * Returns the ancestor of the current domain at the given number of levels "higher" (rightward)
   * in the subdomain list. The number of levels must be non-negative, and less than {@code N-1},
   * where {@code N} is the number of parts in the domain.
   *
   * <p>TODO: Reasonable candidate for addition to public API.
   */
  private InternetDomainName ancestor(int levels) {

        byte[] dest = new byte[10];
        byte[] before = dest.clone();
        NtlmMessage.writeSecurityBuffer(dest, 0, 4, null);
        assertArrayEquals(before, dest, "Zero length should leave dest unchanged");
    }

    @Test
    @DisplayName("writeSecurityBuffer copies data and sets fields")
    void testWriteSecurityBufferNonZero() {
        byte[] dest = new byte[8 + 4];

    def __class__(self):
        return uuid.UUID

    @property
    def __dict__(self):
        """Spoof a missing __dict__ by raising TypeError, this is how
        asyncpg.pgroto.pgproto.UUID behaves"""
        raise TypeError("vars() argument must have __dict__ attribute")


def test_pydanticv2():
    from pydantic import field_serializer

    app = FastAPI()

    @app.get("/fast_uuid")

            // If the "Expect: 100-continue" expectation wasn't met, prevent the HTTP/1 connection
            // from being reused. Otherwise we're still obligated to transmit the request body to
            // leave the connection in a consistent state.
            exchange.noNewExchangesOnConnection()
          }
        }
      } else {
        exchange.noRequestBody()
      }

                "false");

        assertFalse(Features.deployBuildPom(properties));
    }

    @Test
    void testConsistencyWithOtherFeatureMethodsFalse() {
        // Test that deployBuildPom behaves consistently with other feature methods when false
        Map<String, Object> properties = Map.of(
                Constants.MAVEN_DEPLOY_BUILD_POM, "false",
                Constants.MAVEN_CONSUMER_POM, "false");

}
```

#### Desembrulhando um `dict` { #unpacking-a-dict }

Se tomarmos um `dict` como `user_dict` e passarmos para uma função (ou classe) com `**user_dict`, o Python irá "desembrulhá-lo". Ele passará as chaves e valores do `user_dict` diretamente como argumentos chave-valor.

Então, continuando com o `user_dict` acima, escrevendo:

```Python
UserInDB(**user_dict)
```

Resultaria em algo equivalente a:

```Python

 |
 |  1. User Level. This settings.xml file provides configuration for a single user,
 |                 and is normally provided in ${user.home}/.m2/settings.xml.
 |
 |                 NOTE: This location can be overridden with the CLI option:
 |
 |                 -s /path/to/user/settings.xml
 |
 |  2. Installation Level.