`@lru_cache` ist Teil von `functools`, welches Teil von Pythons Standardbibliothek ist. Weitere Informationen dazu finden Sie in der <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python Dokumentation für `@lru_cache`</a>.

## Zusammenfassung

`@lru_cache` 🍕 `functools` ❔ 🍕 🐍 🐩 🗃, 👆 💪 ✍ 🌅 🔃 ⚫️ <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">🐍 🩺 `@lru_cache`</a>.

## 🌃

👆 💪 ⚙️ Pydantic ⚒ 🍵 ⚒ ⚖️ 📳 👆 🈸, ⏮️ 🌐 🏋️ Pydantic 🏷.

* ⚙️ 🔗 👆 💪 📉 🔬.
* 👆 💪 ⚙️ `.env` 📁 ⏮️ ⚫️.

`@lru_cache` is part of `functools` which is part of Python's standard library, you can read more about it in the <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python docs for `@lru_cache`</a>.

## Recap { #recap }

`@lru_cache` es parte de `functools`, que es parte del library estándar de Python, puedes leer más sobre él en las <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">docs de Python para `@lru_cache`</a>.

## Resumen

`@lru_cache` é definido no módulo `functools` que faz parte da biblioteca padrão do Python, você pode ler mais sobre esse decorador no link <a href="https://docs.python.org/3/library/functools.html#functools.lru_cache" class="external-link" target="_blank">Python Docs sobre `@lru_cache`</a>.

## Recapitulando

### 10.1 Handle Caching Strategy
```java
public class HandleCache {
    private final int maxHandles = 1000;
    private final LinkedHashMap<String, HandleInfo> lruCache;
    
    public HandleCache() {
        this.lruCache = new LinkedHashMap<String, HandleInfo>(maxHandles, 0.75f, true) {
            @Override
            protected boolean removeEldestEntry(Map.Entry<String, HandleInfo> eldest) {

String last = CollectionsUtil.getLast(sequenced);
SequencedCollection<String> reversed = CollectionsUtil.reversed(sequenced);

// Specialized collections
LruHashMap<String, Object> lruCache = new LruHashMap<>(100); // LRU cache with max 100 entries
CaseInsensitiveMap<String> configMap = new CaseInsensitiveMap<>();
```

### Resource Management
```java
import org.codelibs.core.io.*;

* Start Portuguese translations. PR [#1210](https://github.com/tiangolo/fastapi/pull/1210) by [@cassiobotaro](https://github.com/cassiobotaro).
* Update docs for Pydantic's `Settings` using a dependency with `@lru_cache()`. PR [#1214](https://github.com/tiangolo/fastapi/pull/1214).