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docs/de/docs/advanced/events.md
Dies kann sehr nützlich sein, um **Ressourcen** einzurichten, die Sie in der gesamten Anwendung verwenden wollen und die von Requests **gemeinsam genutzt** werden und/oder die Sie anschließend **aufräumen** müssen. Zum Beispiel ein Pool von Datenbankverbindungen oder das Laden eines gemeinsam genutzten Modells für maschinelles Lernen. ## Anwendungsfall
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docs/pt/docs/advanced/events.md
Pode ser muito útil para configurar **recursos** que você precisa usar por toda aplicação, e que são **compartilhados** entre as requisições, e/ou que você precisa **limpar** depois. Por exemplo, o pool de uma conexão com o banco de dados ou carregamento de um modelo compartilhado de aprendizado de máquina (_machine learning_). ## Caso de uso Vamos iniciar com um exemplo de **caso de uso** e então ver como resolvê-lo com isso.
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docs/ru/docs/python-types.md
# Введение в аннотации типов Python Python имеет поддержку необязательных аннотаций типов. **Аннотации типов** являются специальным синтаксисом, который позволяет определять <abbr title="например: str, int, float, bool">тип</abbr> переменной. Объявление типов для переменных позволяет улучшить поддержку вашего кода редакторами и различными инструментами.
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docs/uk/docs/python-types.md
Python підтримує додаткові "підказки типу" ("type hints") (також звані "анотаціями типу" ("type annotations")). Ці **"type hints"** є спеціальним синтаксисом, що дозволяє оголошувати <abbr title="наприклад: str, int, float, bool">тип</abbr> змінної. За допомогою оголошення типів для ваших змінних, редактори та інструменти можуть надати вам кращу підтримку.
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docs/pl/docs/index.md
from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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docs/ru/docs/index.md
from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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docs/it/docs/index.md
from fastapi import FastAPI from pydantic import BaseModel from typing import Optional app = FastAPI() class Item(BaseModel): name: str price: float is_offer: bool = Optional[None] @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Optional[str] = None):
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docs/zh/docs/index.md
from typing import Union from fastapi import FastAPI from pydantic import BaseModel app = FastAPI() class Item(BaseModel): name: str price: float is_offer: Union[bool, None] = None @app.get("/") def read_root(): return {"Hello": "World"} @app.get("/items/{item_id}") def read_item(item_id: int, q: Union[str, None] = None):
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docs/en/docs/tutorial/path-params.md
You can use the same type declarations with `str`, `float`, `bool` and many other complex data types. Several of these are explored in the next chapters of the tutorial. ## Order matters When creating *path operations*, you can find situations where you have a fixed path.
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docs/ko/docs/tutorial/body.md
```Python hl_lines="18" {!> ../../../docs_src/body/tutorial004.py!} ``` 함수 매개변수는 다음을 따라서 인지하게 됩니다: * 만약 매개변수가 **경로**에도 선언되어 있다면, 이는 경로 매개변수로 사용될 것입니다. * 만약 매개변수가 (`int`, `float`, `str`, `bool` 등과 같은) **유일한 타입**으로 되어있으면, **쿼리** 매개변수로 해석될 것입니다. * 만약 매개변수가 **Pydantic 모델** 타입으로 선언되어 있으면, 요청 **본문**으로 해석될 것입니다. !!! note "참고" FastAPI는 `q`의 값이 필요없음을 알게 될 것입니다. 기본 값이 `= None`이기 때문입니다.
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