* 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.

Ces outils nécessitent généralement des configurations plus complexes ainsi qu'un gestionnaire de queue de message, comme RabbitMQ ou Redis, mais ils permettent d'exécuter des tâches d'arrière-plan dans différents process, et potentiellement, sur plusieurs serveurs.

        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

        assertNotNull(builder);

        DefaultModelBuildingRequest request = new DefaultModelBuildingRequest();
        request.setProcessPlugins(true);
        request.setPomFile(getPom("complex"));
        request.setSystemProperties(sysProperties);

        ModelBuildingResult result = builder.build(request);
        assertNotNull(result);
        assertNotNull(result.getEffectiveModel());

 * <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

        }
    }

    @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 { #extra-data-types }

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.

> Quelle est l'histoire de ce projet ? Il semble être sorti de nulle part et est devenu génial en quelques semaines [...].

Voici un petit bout de cette histoire.

## Alternatives

Je crée des API avec des exigences complexes depuis plusieurs années (Machine Learning, systèmes distribués, jobs asynchrones, bases de données NoSQL, etc), en dirigeant plusieurs équipes de développeurs.

 * This API does not try to cover all the requirements out there, just the basic ones, and is intentionally simple.
 * If plugin or extension needs anything more complex feature wise (i.e. HTTP range support or alike) it should
 * probably roll its own.
 * <p>
 * This implementation is backed by Maven Resolver API, supported protocols and transport selection depends on it. If

        // data1 should also be modified (same object)
        assertEquals("https://modified.com", data1.getUrl());
    }

    public void test_complexScenarioWithGet() {
        // Test complex scenario with GET method
        RequestData data = RequestDataBuilder.newRequestData().get().url("https://api.example.com/users/123").weight(0.8f).build();

        assertEquals(Method.GET, data.getMethod());