<img src="/img/tutorial/body/image04.png">

Ce n'est pas un hasard, ce framework entier a été bâti avec ce design comme objectif.

Et cela a été rigoureusement testé durant la phase de design, avant toute implémentation, pour s'assurer que cela fonctionnerait avec tous les éditeurs.

Des changements sur Pydantic ont même été faits pour supporter cela.

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

This is not by chance, the whole framework was built around that design.

And it was thoroughly tested at the design phase, before any implementation, to ensure it would work with all the editors.

There were even some changes to Pydantic itself to support this.

import org.codehaus.plexus.logging.AbstractLogEnabled;

/**
 * Describes a version transformation during artifact resolution.
 *
 * TODO try and refactor to remove abstract methods - not particular happy about current design
 */
@Deprecated
public abstract class AbstractVersionTransformation extends AbstractLogEnabled implements ArtifactTransformation {
    @Inject
    protected RepositoryMetadataManager repositoryMetadataManager;

    * Dahili Login.
    * Login sonrası, Kontrol paneli.
    * Kullanıcı oluşturma ve düzenleme kontrol paneli
    * Kendi kendine kullanıcı sürümü.
    * **Vuex**.
    * **Vue-router**.
    * **Vuetify** güzel material design kompanentleri için.
    * **TypeScript**.
    * **Nginx** tabanlı Docker sunucusu (Vue-router için yapılandırılmış).
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**Requests** é uma biblioteca para interagir com APIs (como um cliente), enquanto **FastAPI** é uma biblioteca para construir APIs (como um servidor).

Eles estão, mais ou menos, em pontas opostas, complementando-se.

Requests tem um design muito simples e intuitivo, é muito fácil de usar, com padrões sensatos. Mas ao mesmo tempo, é muito poderoso e personalizável.

É por isso que, como dito no site oficial:

request, and "write" parts to the response. Because of this design, it is not possible to declare request parameters and bodies with standard Python type hints as function parameters.

So, data validation, serialization, and documentation, have to be done in code, not automatically. Or they have to be implemented as a framework on top of Falcon, like Hug. This same distinction happens in other frameworks that are inspired by Falcon's design, of having one request object and one response object...

Wenn Sie möchten, dass der Client Informationen im Request übergibt und Sie nicht wissen, wie das geht, können Sie suchen (googeln), wie es mit `httpx` gemacht wird, oder sogar, wie es mit `requests` gemacht wird, da das Design von HTTPX auf dem Design von Requests basiert.

Dann machen Sie in Ihren Tests einfach das gleiche.

Z. B.:

* Um einen *Pfad*- oder *Query*-Parameter zu übergeben, fügen Sie ihn der URL selbst hinzu.

- **`org.codelibs.curl.io.ContentCache`**: Handles automatic in-memory or on-disk caching of request/response bodies
- **`org.codelibs.curl.io.ContentOutputStream`**: Streaming utilities for efficient content handling

### Key Design Patterns

1. **Fluent Builder Pattern**: `CurlRequest` uses method chaining for configuration
2. **Factory Pattern**: `Curl` class provides static factory methods for each HTTP method

        verify(mockDir, times(3)).getPath();
        verifyNoMoreInteractions(mockDir);
    }

    /**
     * Defensive behavior: implementation throws NPE on null inputs by design.
     */
    @Test
    @DisplayName("implementation explicitly rejects nulls with NPE")
    void implementationRejectsNulls() {
        SmbFilenameFilter filter = (dir, name) -> {

} catch (ClassNotFoundRuntimeException e) {
    // Handle the wrapped exception
    logger.error("Class not found: " + className, e);
}
```

## 🏗️ Architecture & Design Patterns

### Core Design Principles
CoreLib follows a **utility-class pattern** where most functionality is exposed through static methods: