Wenn Sie beispielsweise eine Funktion haben:

```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):
    return f"Hello {salutation} {name}"
```

könnte Ihr Programm so ausgeführt werden:

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()

, 🔢 🔛 ⚫️ 🔜 🛠️ 🕐 🔠 🌀 ❌. & ⤴️ 💲 📨 🔠 👈 🌀 ❌ 🔜 ⚙️ 🔄 & 🔄 🕐❔ 🔢 🤙 ⏮️ ⚫️❔ 🎏 🌀 ❌.

🖼, 🚥 👆 ✔️ 🔢:

```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):
    return f"Hello {salutation} {name}"
```

👆 📋 💪 🛠️ 💖 👉:

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()

For example, if you have a function:

```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):
    return f"Hello {salutation} {name}"
```

your program could execute like this:

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()

`@lru_cache` 修改了它所装饰的函数，以返回第一次返回的相同值，而不是再次计算它，每次都执行函数的代码。

因此，下面的函数将对每个参数组合执行一次。然后，每个参数组合返回的值将在使用完全相同的参数组合调用函数时再次使用。

例如，如果您有一个函数：
```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):
    return f"Hello {salutation} {name}"
```

您的程序可以像这样执行：

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()
participant execute as Execute function