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docs/en/docs/python-types.md
As the type, put `list`. As the list is a type that contains some internal types, you put them in square brackets: ```Python hl_lines="1" {!> ../../docs_src/python_types/tutorial006_py39.py!} ``` //// //// tab | Python 3.8+ From `typing`, import `List` (with a capital `L`): ```Python hl_lines="1" {!> ../../docs_src/python_types/tutorial006.py!} ```
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sat Oct 26 11:47:53 UTC 2024 - 16.7K bytes - Viewed (0) -
docs/en/docs/tutorial/body.md
First, you need to import `BaseModel` from `pydantic`: {* ../../docs_src/body/tutorial001_py310.py hl[2] *} ## Create your data model Then you declare your data model as a class that inherits from `BaseModel`. Use standard Python types for all the attributes: {* ../../docs_src/body/tutorial001_py310.py hl[5:9] *}
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sun Oct 27 16:58:19 UTC 2024 - 6.6K bytes - Viewed (0) -
docs/pt/docs/advanced/websockets.md
Quando uma conexão WebSocket é fechada, o `await websocket.receive_text()` levantará uma exceção `WebSocketDisconnect`, que você pode então capturar e lidar como neste exemplo. {*../../docs_src/websockets/tutorial003_py39.py hl[79:81]*} Para testar: * Abrar o aplicativo com várias abas do navegador. * Escreva mensagens a partir delas. * Então feche uma das abas.
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docs/en/docs/tutorial/encoder.md
You can use `jsonable_encoder` for that. It receives an object, like a Pydantic model, and returns a JSON compatible version: {* ../../docs_src/encoder/tutorial001_py310.py hl[4,21] *} In this example, it would convert the Pydantic model to a `dict`, and the `datetime` to a `str`.
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