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fastapi/utils.py
new_field.parse_json = field.parse_json # type: ignore[attr-defined] new_field.shape = field.shape # type: ignore[attr-defined] new_field.populate_validators() # type: ignore[attr-defined] return new_field def generate_operation_id_for_path( *, name: str, path: str, method: str ) -> str: # pragma: nocover warnings.warn(
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docs/en/docs/alternatives.md
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docs/pt/docs/async.md
Por isso que faz muito mais sentido utilizar código assíncrono para APIs web.
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docs/fr/docs/async.md
C'est pourquoi il est logique d'utiliser du code asynchrone ⏸🔀⏯ pour des APIs web. Ce type d'asynchronicité est ce qui a rendu NodeJS populaire (bien que NodeJS ne soit pas parallèle) et c'est la force du Go en tant que langage de programmation. Et c'est le même niveau de performance que celui obtenu avec **FastAPI**.
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docs/en/docs/deployment/https.md
To do that, and to accommodate different application needs, there are several ways it can do it. Some popular ways are: * **Modify some DNS records**. * For this, the renewal program needs to support the APIs of the DNS provider, so, depending on the DNS provider you are using, this might or might not be an option.
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docs/en/docs/tutorial/sql-databases.md
When you access `my_user.items`, SQLAlchemy will actually go and fetch the items from the database in the `items` table and populate them here.
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docs/pt/docs/history-design-future.md
## Design Eu então dediquei algum tempo projetando a "API" de desenvolvimento que eu queria como usuário (como um desenvolvedor usando o FastAPI). Eu testei várias ideias nos editores Python mais populares: PyCharm, VS Code, e editores baseados no Jedi.
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docs/en/docs/history-design-future.md
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docs/fr/docs/tutorial/body.md
!!! info Pour envoyer de la donnée, vous devriez utiliser : `POST` (le plus populaire), `PUT`, `DELETE` ou `PATCH`. Envoyer un corps dans une requête `GET` a un comportement non défini dans les spécifications, cela est néanmoins supporté par **FastAPI**, seulement pour des cas d'utilisation très complexes/extrêmes.
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docs_src/sql_databases/sql_app/models.py
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