// The fact that the object is successfully created implies the super constructor was called.
    }

    // Additional tests could be added here if MsrpcSamrOpenAlias had more methods or complex logic.
    // For this specific class, the constructor is the main point of logic.

 * task cannot be implemented with {@link ListeningExecutorService}, the various {@link Futures}
 * utility methods, or {@link ListenableFutureTask}. Those APIs have less opportunity for developer
 * error. If your needs are more complex than {@code SettableFuture} supports, use {@link
 * AbstractFuture}, which offers an extensible version of the API.
 *
 * @author Sven Mawson
 * @since 9.0 (in 1.0 as {@code ValueFuture})
 */
@GwtCompatible

 * task cannot be implemented with {@link ListeningExecutorService}, the various {@link Futures}
 * utility methods, or {@link ListenableFutureTask}. Those APIs have less opportunity for developer
 * error. If your needs are more complex than {@code SettableFuture} supports, use {@link
 * AbstractFuture}, which offers an extensible version of the API.
 *
 * @author Sven Mawson
 * @since 9.0 (in 1.0 as {@code ValueFuture})
 */
@GwtCompatible

Mas antes disso, controlar código assíncrono era bem mais complexo e difícil.

Nas versões anteriores do Python, você poderia utilizar threads ou <a href="http://www.gevent.org/" class="external-link" target="_blank">Gevent</a>. Mas o código é bem mais complexo de entender, debugar, e pensar sobre.

            // Just verify the methods are callable
            assertTrue(true);
        }
    }

    // Test with complex source map
    public void test_complexSourceMap() {
        TestSearchLogEvent event = new TestSearchLogEvent("complex-id", 1L, "complex");

        // Create nested map structure
        Map<String, Object> nestedMap = new HashMap<>();

        assertEquals("\"\"\"end\"\"\"", result[2]);

        // Complex escaped scenario - only middle field gets unquoted (no internal quotes)
        value = "\"complex \"\"test\"\" value\",normal,\"another \"\"escaped\"\"\"";
        result = KuromojiCSVUtil.parse(value);
        assertEquals(3, result.length);
        assertEquals("\"complex \"test\" value\"", result[0]);
        assertEquals("normal", result[1]);

        assertNull(result.getDocumentList().get(0));
    }

    public void test_complexDocumentStructure() {
        // Test with complex nested document structure
        Map<String, Object> doc = new HashMap<>();
        doc.put("id", "complex");

        Map<String, Object> nested = new HashMap<>();
        nested.put("level2", "value");
        doc.put("nested", nested);

        assertNotNull(e.getMessage());
    }

    @Test
    void testMockedSuccessfulParsing() throws PACDecodingException, IOException {
        // Test with mocked PacMac to avoid complex signature calculation
        try (MockedStatic<PacMac> pacMacMock = mockStatic(PacMac.class)) {
            // Mock the calculateMac method to return a valid checksum
            byte[] mockChecksum = new byte[16];

        configParameters = "config.equation=a=b+c\nfield.xpath.complex=//div[@class='content']";
        result = ParameterUtil.createConfigParameterMap(configParameters);
        assertEquals("a=b+c", result.get(ConfigName.CONFIG).get("equation"));
        assertEquals("//div[@class='content']", result.get(ConfigName.XPATH).get("complex"));

        // Test with special characters in keys and values

* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.