Crea funciones con un nombre que comience con `test_` (esta es la convención estándar de `pytest`).

Usa el objeto `TestClient` de la misma manera que con `httpx`.

Escribe declaraciones `assert` simples con las expresiones estándar de Python que necesites revisar (otra vez, estándar de `pytest`).

{* ../../docs_src/app_testing/tutorial001_py310.py hl[2,12,15:18] *}

/// tip | Consejo

 * governing permissions and limitations under the License.
 */
package org.codelibs.curl;

import java.io.File;

/**
 * The Curl class provides a simple interface for creating HTTP requests using various HTTP methods.
 * It includes static methods for each HTTP method that return a CurlRequest object.
 *
 * <p>Example usage:</p>
 * <pre>

See the License for the specific language governing permissions and
limitations under the License.
==============================================================================*/

// A simple logging device to test custom device registration.
#include <memory>

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"

Você poderia carregá-lo no nível mais alto do módulo/arquivo, mas isso também significaria **carregar o modelo** mesmo se você estivesse executando um teste automatizado simples; então esse teste poderia ser **lento** porque teria que esperar o carregamento do modelo antes de conseguir executar uma parte independente do código.

  @SuppressWarnings("TypeParameterUnusedInFormals") // sorry not sorry
  static <V extends @Nullable Object> V getDoneValue(Object obj) throws ExecutionException {
    // While this seems like it might be too branch-y, simple benchmarking proves it to be
    // unmeasurable (comparing done AbstractFutures with immediateFuture)
    if (obj instanceof Cancellation) {
      Cancellation cancellation = (Cancellation) obj;

Vous pouvez ensuite utiliser cette nouvelle classe dans `response_class=PNGStreamingResponse` dans votre *fonction de chemin d'accès* :

{* ../../docs_src/stream_data/tutorial002_py310.py ln[23:27] hl[23] *}

### Simuler un fichier { #simulate-a-file }

Dans cet exemple, nous simulons un fichier avec `io.BytesIO`, qui est un objet de type fichier résidant uniquement en mémoire, mais qui permet d'utiliser la même interface.

  @CollectionSize.Require(absent = CollectionSize.ZERO)
  public void testEquals_otherListWithDifferentElements() {
    ArrayList<E> other = new ArrayList<>(getSampleElements());
    other.set(other.size() / 2, getSubjectGenerator().samples().e3());
    assertFalse(
        "A List should not equal another List containing different elements.",
        getList().equals(other));
  }

  @CollectionSize.Require(absent = CollectionSize.ZERO)

```

The following flags are defined:

```
const (
 FreeVersion = 1 << 0
 UsesDataDir = 1 << 1
 InlineData  = 1 << 2
)
```

The "Metadata" section contains a single version, encoded in similar fashion as each version in the `Versions` array
of the previous version.

## Inline Data

Inline data is optional. If no inline data is present, it is encoded as 0 bytes.

   * with a differently behaving {@code loader}. For example, a call that requests a short timeout
   * for an RPC may wait for a similar call that requests a long timeout, or a call by an
   * unprivileged user may return a resource accessible only to a privileged user making a similar
   * call. To prevent this problem, create a key object that includes all values that affect the

Crie funções com um nome que comece com `test_` (essa é a convenção padrão do `pytest`).

Use o objeto `TestClient` da mesma forma que você faz com `httpx`.

Escreva instruções `assert` simples com as expressões Python padrão que você precisa verificar (novamente, `pytest` padrão).

{* ../../docs_src/app_testing/tutorial001_py310.py hl[2,12,15:18] *}

/// tip | Dica