if (h == nullptr) {
    status->status = tensorflow::errors::InvalidArgument("Invalid handle");
    return -1;
  }
  return tensorflow::unwrap(h)->DeviceId(&status->status);
}

TF_CAPI_EXPORT extern void TFE_TensorHandleGetStatus(TFE_TensorHandle* h,
                                                     TF_Status* status) {
  status->status = tensorflow::unwrap(h)->TensorHandleStatus();
}

        return asJson(new ApiConfigsResponse<EditBody>().settings(list.stream().map(this::createEditBody).collect(Collectors.toList()))
                .total(pager.getAllRecordCount())
                .status(Status.OK)
                .result());
    }

    // GET /api/admin/accesstoken/setting/{id}
    /**
     * Retrieves a specific access token setting by ID.
     *
     * @param id the access token ID to retrieve

   * @since 8.0
   */
  public static final byte SOH = 1;

  /**
   * Start of Text: A communication control character which precedes a sequence of characters that
   * is to be treated as an entity and entirely transmitted through to the ultimate destination.
   * Such a sequence is referred to as "text." STX may be used to terminate a sequence of characters
   * started by SOH.
   *
   * @since 8.0
   */
  public static final byte STX = 2;

Этот статус-код будет использован в ответе и будет добавлен в схему OpenAPI.

/// note | Технические детали

Вы также можете использовать `from starlette import status`.

**FastAPI** предоставляет тот же `starlette.status` под псевдонимом `fastapi.status` для удобства разработчика. Но его источник - это непосредственно Starlette.

///

## Теги { #tags }

):
    return [{"item_id": "Foo", "owner": current_user.username}]


@app.get("/status/")
async def read_system_status(current_user: Annotated[User, Depends(get_current_user)]):

  if (TF_GetCode(status) != TF_OK) return;
  if (!grad) return;

  status->status = g->graph.AddFunctionDef(grad->record->fdef(),
                                           grad->record->stack_traces());
  if (TF_GetCode(status) != TF_OK) return;

  tensorflow::GradientDef gdef;
  gdef.set_function_name(func->record->fdef().signature().name());
  gdef.set_gradient_func(grad->record->fdef().signature().name());

  CHECK_EQ(actual, 1);
}

TFE_MonitoringCounter0* CreateCounter0(const char* counter_name) {
  TF_Status* status = TF_NewStatus();
  auto* counter =
      TFE_MonitoringNewCounter0(counter_name, status, "description");
  TF_DeleteStatus(status);
  return counter;
}

void IncrementCounter0(TFE_MonitoringCounter0* counter, int64_t delta) {
  auto* cell = TFE_MonitoringGetCellCounter0(counter);

{* ../../docs_src/path_operation_configuration/tutorial001_py310.py hl[1,15] *}

Dieser Statuscode wird in der Response verwendet und zum OpenAPI-Schema hinzugefügt.

/// note | Technische Details

Sie können auch `from starlette import status` verwenden.

        }
    }

    @Test
    public void test_statusCode_negativeValue() {
        // Test with negative status code
        int statusCode = -1;
        String message = "Invalid status";

        WebApiException exception = new WebApiException(statusCode, message);

        assertEquals(statusCode, exception.getStatusCode());
        assertEquals(message, exception.getMessage());

///

Você pode declarar retornos adicionais, com códigos de status adicionais, media types, descrições, etc.

Essas respostas adicionais serão incluídas no esquema do OpenAPI, e também aparecerão na documentação da API.

Porém para as respostas adicionais, você deve garantir que está retornando um `Response` como por exemplo o `JSONResponse` diretamente, junto com o código de status e o conteúdo.