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docs/vi/docs/features.md
Bạn viết chuẩn Python với kiểu dữ liệu như sau: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` Sau đó có thể được sử dụng: ```Python
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docs/tr/docs/features.md
```Python from typing import List, Dict from datetime import date from pydantic import BaseModel # Değişkeni str olarak belirt # ve o fonksiyon için harika bir editör desteği al def main(user_id: str): return user_id # Pydantic modeli class User(BaseModel): id: int name: str joined: date ``` Sonrasında bu şekilde kullanabilirsin ```Python
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docs/de/docs/features.md
```Python from typing import List, Dict from datetime import date from pydantic import BaseModel # Deklarieren Sie eine Variable als ein `str` # und bekommen Sie Editor-Unterstütung innerhalb der Funktion def main(user_id: str): return user_id # Ein Pydantic-Modell class User(BaseModel): id: int name: str joined: date ``` Das kann nun wie folgt verwendet werden: ```Python
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docs/ja/docs/features.md
型を使用した標準的なPythonを記述します: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` これは以下のように用いられます: ```Python
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docs/en/docs/features.md
* Validation for most (or all?) Python **data types**, including: * JSON objects (`dict`). * JSON array (`list`) defining item types. * String (`str`) fields, defining min and max lengths. * Numbers (`int`, `float`) with min and max values, etc. * Validation for more exotic types, like: * URL. * Email. * UUID. * ...and others.
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docs/pt/docs/features.md
Você escreve Python padrão com tipos: ```Python from datetime import date from pydantic import BaseModel # Declare uma variável como str # e obtenha suporte do editor dentro da função def main(user_id: str): return user_id # Um modelo do Pydantic class User(BaseModel): id: int name: str joined: date ``` Que então pode ser usado como: ```Python
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docs/fr/docs/features.md
```Python from datetime import date from pydantic import BaseModel # Déclare une variable comme étant une str # et profitez de l'aide de votre IDE dans cette fonction def main(user_id: str): return user_id # Un modèle Pydantic class User(BaseModel): id: int name: str joined: date ``` Qui peuvent ensuite être utilisés comme cela: ```Python
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docs/zh/docs/features.md
编写带有类型标注的标准 Python: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` 可以像这样来使用: ```Python
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docs/em/docs/features.md
👆 ✍ 🐩 🐍 ⏮️ 🆎: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` 👈 💪 ⤴️ ⚙️ 💖: ```Python
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docs/pl/docs/features.md
Wystarczy, że napiszesz standardowe deklaracje typów Pythona: ```Python from datetime import date from pydantic import BaseModel # Zadeklaruj parametr jako str # i uzyskaj wsparcie edytora wewnątrz funkcji def main(user_id: str): return user_id # Model Pydantic class User(BaseModel): id: int name: str joined: date ``` A one będą mogły zostać później użyte w następujący sposób: ```Python
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