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docs/hu/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/es/docs/index.md
```Python hl_lines="2 7-10 23-25" from fastapi import FastAPI from pydantic import BaseModel from typing import Union 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/tutorial/body-nested-models.md
``` === "Python 3.8+" ```Python hl_lines="9 14 20 23 27" {!> ../../../docs_src/body_nested_models/tutorial007.py!} ``` !!! info "Информация" Заметьте, что у объекта `Offer` есть список объектов `Item`, которые, в свою очередь, могут содержать необязательный список объектов `Image` ## Тела с чистыми списками элементов
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docs/bn/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/deployment/concepts.md
* A particular program while it is **running** on the operating system. * This doesn't refer to the file, nor to the code, it refers **specifically** to the thing that is being **executed** and managed by the operating system.
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docs/en/docs/tutorial/bigger-applications.md
* and in there, find the module `dependencies` (the file at `app/dependencies.py`)... * and from it, import the function `get_token_header`. That would refer to some package above `app/`, with its own file `__init__.py`, etc. But we don't have that. So, that would throw an error in our example. 🚨
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docs_src/body_nested_models/tutorial007.py
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docs/ko/docs/tutorial/body-nested-models.md
## 깊게 중첩된 모델 단독으로 깊게 중첩된 모델을 정의할 수 있습니다: ```Python hl_lines="9 14 20 23 27" {!../../../docs_src/body_nested_models/tutorial007.py!} ``` !!! info "정보" `Offer`가 선택사항 `Image` 리스트를 차례로 갖는 `Item` 리스트를 어떻게 가지고 있는지 주목하세요 ## 순수 리스트의 본문 예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다: ```Python images: List[Image] ```
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docs/pt/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 @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/az/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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