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...

    /** The path of the HTML: /admin/design/admin_design.jsp */
    HtmlNext path_AdminDesign_AdminDesignJsp = new HtmlNext("/admin/design/admin_design.jsp");

    /** The path of the HTML: /admin/design/admin_design_edit.jsp */
    HtmlNext path_AdminDesign_AdminDesignEditJsp = new HtmlNext("/admin/design/admin_design_edit.jsp");

    /** The path of the HTML: /admin/dict/admin_dict.jsp */

boleh
bolehkah
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bukanlah
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cuma
percuma
dahulu
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dapat
dari
daripada
dekat
demi
demikian
demikianlah
sedemikian
dengan
depan
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dia
dialah
dini
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terdiri
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### Desativar a documentação automática

O primeiro passo é desativar a documentação automática, pois por padrão, ela usa o CDN padrão.

Para desativá-los, defina suas URLs como `None` ao criar seu aplicativo `FastAPI`:

```Python hl_lines="8"
{!../../docs_src/custom_docs_ui/tutorial001.py!}
```

### Incluir a documentação personalizada

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;

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.

<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.

```

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.

//// tab | Python 3.8+ non-Annotated

/// tip | Dica

Utilize a versão com `Annotated` se possível.

///

```Python hl_lines="1"
{!> ../../docs_src/request_files/tutorial001.py!}
```

////

## Defina os parâmetros de `File`

Cria os parâmetros do arquivo da mesma forma que você faria para `Body` ou `Form`:

//// tab | Python 3.9+

```Python hl_lines="9"
{!> ../../docs_src/request_files/tutorial001_an_py39.py!}

    // dataset which is already sorted or partially sorted is cheating.
    return datasets[i & 0xFF].clone();
  }

  @Benchmark
  double median(int reps) {
    double dummy = 0.0;
    for (int i = 0; i < reps; i++) {
      dummy += algorithm.singleQuantile(1, 2, dataset(i));
    }
    return dummy;
  }

  @Benchmark
  double percentile90(int reps) {