* Si conoces los tipos en Python sabes cómo usar Pydantic.
* Se lleva bien con tu **<abbr title="Entorno de Desarrollo Integrado, similar a un editor de código">IDE</abbr>/<abbr title="Un programa que verifica errores de código">linter</abbr>/cerebro**:
    * Porque las estructuras de datos de pydantic son solo instances de clases que defines; autocompletado, linting, mypy y tu intuición deberían funcionar correctamente con tus datos validados.

@NullUnmarked
public class QuantilesTest extends TestCase {

  /*
   * Since Quantiles provides a fluent-style API, each test covers a chain of methods resulting in
   * the computation of one or more quantiles (or in an error) rather than individual methods. The
   * tests are divided into three sections:
   * 1. Tests on a hardcoded dataset for chains starting with median(), quartiles(), and scale(10);

@NullUnmarked
public class QuantilesTest extends TestCase {

  /*
   * Since Quantiles provides a fluent-style API, each test covers a chain of methods resulting in
   * the computation of one or more quantiles (or in an error) rather than individual methods. The
   * tests are divided into three sections:
   * 1. Tests on a hardcoded dataset for chains starting with median(), quartiles(), and scale(10);

            }, this::asListHtml);
        }
    }

    /**
     * Validates group attributes using LDAP manager.
     *
     * @param attributes the attributes to validate
     * @param throwError the error handler
     */
    public static void validateAttributes(final Map<String, String> attributes, final Consumer<VaMessenger<FessMessages>> throwError) {
        ComponentUtil.getLdapManager()

        assertTrue(it.hasNext());
        assertEquals("one", it.next().getName()); // consume initial
        // Next call should handle CIFSException and close iterator
        assertFalse(it.hasNext()); // After error, hasNext should return false

        // Assert
        verify(tree, times(1)).release();
    }

    @Test
    @DisplayName("close() closes when there is a next element and releases handle")

                SmbConstants.DEFAULT_SHARING);

        // When
        outputStream.flush();

        // Then - flush should complete without error
        assertTrue(outputStream.isOpen());
    }

    @Test
    void testClose() throws IOException, CIFSException {
        // Given
        when(mockTreeHandle.isSMB2()).thenReturn(true);

        int[].class,
        Object[].class,
        UnsignedInteger.class,
        UnsignedLong.class,
        BigInteger.class,
        BigDecimal.class,
        Throwable.class,
        Error.class,
        Exception.class,
        RuntimeException.class,
        Charset.class,
        Locale.class,
        Currency.class,
        List.class,
        Entry.class,
        Object.class,

   * of the request.
   */
  public var dispatcher: Dispatcher = QueueDispatcher()

  public val socketAddress: InetSocketAddress
    get() = socketAddress_ ?: error("call start() first")

  public val port: Int
    get() = socketAddress.port

  public val hostName: String
    get() = socketAddress.address.hostName

        }

        @Test
        @DisplayName("getResult should return DcerpcException for non-zero result")
        void testGetResultError() {
            message.result = 123; // Example error code
            DcerpcException exception = message.getResult();
            assertNotNull(exception);
            assertEquals(123, exception.getErrorCode());
        }
    }

    @Nested

    * Se você conhece os tipos do Python, você sabe como usar o Pydantic.
* Vai bem com o/a seu/sua **<abbr title="Ambiente de Desenvolvimento Integrado, similar a um editor de código">IDE</abbr>/<abbr title="Um programa que confere erros de código">linter</abbr>/cérebro**:
    * Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, a auto completação, _linting_, _mypy_ e a sua intuição devem funcionar corretamente com seus dados validados.