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docs/fr/docs/async.md
Pour appeler une fonction définie avec `async def`, vous devez utiliser `await`. Donc ceci ne marche pas : ```Python # Ceci ne fonctionne pas, car get_burgers a été défini avec async def burgers = get_burgers(2) ``` ---
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docs/de/docs/tutorial/dependencies/sub-dependencies.md
=== "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} ``` === "Python 3.8+ nicht annotiert"
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docs/it/docs/index.md
* Autocompletamento. * Controllo sulle annotazioni di tipo. * Validazione dei dati: * Errori chiari e automatici quando i dati sono invalidi. * Validazione anche per gli oggetti JSON più complessi. * <abbr title="anche noto come: serializzazione, parsing, marshalling">Conversione</abbr> dei dati di input: da risorse esterne a dati e tipi di Python. È possibile leggere da: * JSON. * Path parameters.
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docs/ru/docs/deployment/docker.md
4. Установите библиотеки перечисленные в файле с зависимостями. Опция `--no-cache-dir` указывает `pip` не сохранять загружаемые библиотеки на локальной машине для использования их в случае повторной загрузки. В контейнере, в случае пересборки этого шага, они всё равно будут удалены. !!! note "Заметка" Опция `--no-cache-dir` нужна только для `pip`, она никак не влияет на Docker или контейнеры.
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docs/fr/docs/history-design-future.md
## Futur À ce stade, il est déjà clair que **FastAPI** et ses idées sont utiles pour de nombreuses personnes. Elle a été préférée aux solutions précédentes parce qu'elle convient mieux à de nombreux cas d'utilisation. De nombreux développeurs et équipes dépendent déjà de **FastAPI** pour leurs projets (y compris moi et mon équipe).
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docs/em/docs/advanced/settings.md
`@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` 📁 ⏮️ ⚫️.
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docs/ko/docs/deployment/docker.md
이 파일이 **자주 바뀌지 않기 때문에**, 도커는 파일을 탐지하여 이 단계의 **캐시**를 사용하여 다음 단계에서도 캐시를 사용할 수 있도록 합니다. 4. 요구 조건 파일에 있는 패키지 종속성을 설치합니다. `--no-cache-dir` 옵션은 `pip`에게 다운로드한 패키지들을 로컬 환경에 저장하지 않도록 전달합니다. 이는 마치 같은 패키지를 설치하기 위해 오직 `pip`만 다시 실행하면 될 것 같지만, 컨테이너로 작업하는 경우 그렇지는 않습니다. !!! note "노트" `--no-cache-dir` 는 오직 `pip`와 관련되어 있으며, 도커나 컨테이너와는 무관합니다. `--upgrade` 옵션은 `pip`에게 설치된 패키지들을 업데이트하도록 합니다.
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docs/de/docs/how-to/extending-openapi.md
```Python hl_lines="22-24" {!../../../docs_src/extending_openapi/tutorial001.py!} ``` ### Zwischenspeichern des OpenAPI-Schemas Sie können die Eigenschaft `.openapi_schema` als „Cache“ verwenden, um Ihr generiertes Schema zu speichern. Auf diese Weise muss Ihre Anwendung das Schema nicht jedes Mal generieren, wenn ein Benutzer Ihre API-Dokumentation öffnet.
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docs/en/docs/release-notes.md
* 👷 Remove pip cache for Smokeshow as it depends on a requirements.txt. PR [#5700](https://github.com/tiangolo/fastapi/pull/5700) by [@tiangolo](https://github.com/tiangolo). * 💚 Fix pip cache for Smokeshow. PR [#5697](https://github.com/tiangolo/fastapi/pull/5697) by [@tiangolo](https://github.com/tiangolo).
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docs/de/docs/advanced/settings.md
`@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
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