* 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.

        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

        NtlmHttpURLConnection spiedConnection = spy(ntlmConnection);
        doNothing().when(spiedConnection).connect();
        // Mock the handshake process to do nothing complex
        mockResponse(HTTP_OK, "OK", null, null);

        // Act & Assert
        assertDoesNotThrow(() -> spiedConnection.getResponseCode());
        // Use reflection to verify handshake method is called

        execJob.setExecuteType("crawler");
        assertEquals("prefix-crawler-suffix", execJob.testGetLogName("prefix"));
    }

    // Test complex scenario with multiple configurations
    public void test_complexConfiguration() {
        execJob.sessionId("complex-session")
                .logFilePath("/var/log/fess")
                .logLevel("INFO")
                .logSuffix("daily job")
                .timeout(300)

 * <p>
 * This annotation can be used on static methods to programmatically create and configure
 * beans that will be managed by the dependency injection container. It's particularly
 * useful when the bean creation requires complex logic or when the bean needs to be
 * configured based on runtime conditions.
 * <p>
 * Example usage:
 * <pre>
 * public class Providers {
 *     {@literal @}Provides
 *     {@literal @}Singleton

        assertNotNull(result);
        assertEquals(-1, ((QueryRescorerBuilder) result).windowSize().intValue());
    }

    public void test_evaluate_withComplexParams() {
        // Test with complex parameter map including nested structures
        final String testModelName = "complex_model";
        final int testWindowSize = 200;

        ComponentUtil.setFessConfig(new FessConfig.SimpleImpl() {

		t.Fatalf("failed to query data, got error %v", err)
	}
	AssertEqual(t, result, out)

	// update record
	data.Roles = append(data.Roles, "r3")
	data.JobInfo.Location = "Gates Hillman Complex"
	if err := DB.Assign(data).FirstOrCreate(&out).Error; err != nil {
		t.Fatalf("failed to FirstOrCreate Assigned data, got error %v", err)
	}
	if err := DB.First(&result, out.ID).Error; err != nil {

# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".
# Therefore, "tfrun" commands cannot include pipes -- which is
# probably for the better. If a pipe is necessary for something, it is probably
# complex. Write a well-documented script under utilities/ to encapsulate the
# functionality instead.
tfrun() { "$@"; }

if [[ $(uname -s) = MSYS_NT* ]]; then
  source ./ci/official/utilities/windows.sh

        }
    }

    @Nested
    class AttributeAndStateTests {

        @Test
        public void testGetTypeForFile() throws Exception {
            // Mocking underlying connection and info retrieval is complex.
            // This test focuses on the logic based on the URL structure.
            SmbFile file = new SmbFile("smb1://server/share/file.txt");
            // Without a real connection, getType relies on path parsing.

# Tipos de dados extras

Até agora, você tem usado tipos de dados comuns, tais como:

* `int`
* `float`
* `str`
* `bool`

Mas você também pode usar tipos de dados mais complexos.

E você ainda terá os mesmos recursos que viu até agora:

* Ótimo suporte do editor.
* Conversão de dados das requisições recebidas.
* Conversão de dados para os dados da resposta.
* Validação de dados.
* Anotação e documentação automáticas.