//// tab | Python 3.8+

```Python hl_lines="1"
async def needy_dependency(fresh_value: Annotated[str, Depends(get_value, use_cache=False)]):
    return {"fresh_value": fresh_value}
```

////

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

/// tip | "Dica"

Utilize a versão com `Annotated` se possível.

///

```Python hl_lines="1"

    assertEquals(
        "\uD8AB\uDCABdef", Strings.commonSuffix("abc\uD8AB\uDCABdef", "xyz\uD8AB\uDCABdef"));
    // Differing valid surrogate pairs.
    assertEquals("def", Strings.commonSuffix("abc\uD8AB\uDCABdef", "abc\uD8AC\uDCABdef"));
    // One invalid pair.
    assertEquals("def", Strings.commonSuffix("abc\uD8AB\uDCABdef", "xyz\uDCAB\uDCABdef"));
    // Two identical invalid pairs.
    assertEquals(

**FastAPI** будет вызывать её каждый раз при получении `GET` запроса к URL "`/`".

В данном случае это асинхронная функция.

---

Вы также можете определить ее как обычную функцию вместо `async def`:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note | "Технические детали"

///

### 关于 `def` 对比 `async def`

*在这里，我们在路径操作函数*和依赖项中都使用着 SQLAlchemy 模型，它将与外部数据库进行通信。

这会需要一些“等待时间”。

但是由于 SQLAlchemy 不具有`await`直接使用的兼容性，因此类似于：

```Python
user = await db.query(User).first()
```

...相反，我们可以使用：

```Python
user = db.query(User).first()
```

然后我们应该声明*路径操作函数*和不带 的依赖关系`async def`，只需使用普通的`def`，如下：

```Python hl_lines="2"

  }

  float expected_dx[1] = {7.0f};
  ASSERT_NO_FATAL_FAILURE(CompareNumericalAndManualGradients(
      MulModel, ctx_.get(), {x.get(), y.get()}, 0, expected_dx, 1,
      UseFunction()));
}

#ifdef PLATFORM_GOOGLE
INSTANTIATE_TEST_SUITE_P(
    UnifiedCAPI, GradientCheckerTest,
    ::testing::Combine(::testing::Values("graphdef"),
                       /*tfrt*/ ::testing::Values(false),

```Python hl_lines="2  12  15-18"
{!../../docs_src/app_testing/tutorial001.py!}
```

/// tip

Notice that the testing functions are normal `def`, not `async def`.

And the calls to the client are also normal calls, not using `await`.

This allows you to use `pytest` directly without complications.

///

/// note | "Technical Details"

🏧 😐 🌐❔ 👆 💭 👆 💪 🔗 🤙 🔠 🔁 (🎲 💗 🕰) 🎏 📨 ↩️ ⚙️ "💾" 💲, 👆 💪 ⚒ 🔢 `use_cache=False` 🕐❔ ⚙️ `Depends`:

```Python hl_lines="1"
async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

## 🌃

↖️ ⚪️➡️ 🌐 🎀 🔤 ⚙️ 📥, **🔗 💉** ⚙️ 🙅.

🔢 👈 👀 🎏 *➡ 🛠️ 🔢*.

En este caso es una función `async`.

---

También podrías definirla como una función estándar en lugar de `async def`:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note | Nota

Neste caso, é uma função `assíncrona`.

---

Você também pode defini-la como uma função normal em vez de `async def`:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note | "Nota"

{!../../docs_src/first_steps/tutorial001.py!}
```

👉 🐍 🔢.

⚫️ 🔜 🤙 **FastAPI** 🕐❔ ⚫️ 📨 📨 📛 "`/`" ⚙️ `GET` 🛠️.

👉 💼, ⚫️ `async` 🔢.

---

👆 💪 🔬 ⚫️ 😐 🔢 ↩️ `async def`:

```Python hl_lines="7"
{!../../docs_src/first_steps/tutorial003.py!}
```

/// note

🚥 👆 🚫 💭 🔺, ✅ [🔁: *"🏃 ❓"*](../async.md#_2){.internal-link target=_blank}.

///