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  1. docs/en/docs/alternatives.md

    **FastAPI** wouldn't exist if not for the previous work of others.
    
    There have been many tools created before that have helped inspire its creation.
    
    I have been avoiding the creation of a new framework for several years. First I tried to solve all the features covered by **FastAPI** using many different frameworks, plug-ins, and tools.
    
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  2. docs/en/docs/reference/websockets.md

                - iter_bytes
                - iter_json
                - send_text
                - send_bytes
                - send_json
                - close
    
    When a client disconnects, a `WebSocketDisconnect` exception is raised, you can catch it.
    
    You can import it directly form `fastapi`:
    
    ```python
    from fastapi import WebSocketDisconnect
    ```
    
    ::: fastapi.WebSocketDisconnect
    
    ## WebSockets - additional classes
    
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  3. docs/en/docs/tutorial/security/oauth2-jwt.md

    After a week, the token will be expired and the user will not be authorized and will have to sign in again to get a new token. And if the user (or a third party) tried to modify the token to change the expiration, you would be able to discover it, because the signatures would not match.
    
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  4. docs/en/docs/release-notes.md

    * ✨ Add support in `jsonable_encoder` for include and exclude with dataclasses. PR [#4923](https://github.com/tiangolo/fastapi/pull/4923) by [@DCsunset](https://github.com/DCsunset).
    
    ### Fixes
    
    * 🐛 Fix `RuntimeError` raised when `HTTPException` has a status code with no content. PR [#5365](https://github.com/tiangolo/fastapi/pull/5365) by [@iudeen](https://github.com/iudeen).
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  5. docs/fr/docs/tutorial/body.md

    Des changements sur Pydantic ont même été faits pour supporter cela.
    
    Les captures d'écrans précédentes ont été prises sur <a href="https://code.visualstudio.com" class="external-link" target="_blank">Visual Studio Code</a>.
    
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  6. docs/fr/docs/features.md

    Avec **FastAPI** vous aurez toutes les fonctionnalités de **Pydantic**  (comme FastAPI est basé sur Pydantic pour toutes les manipulations de données):
    
    * **Pas de prise de tête**:
        * Pas de nouveau langage de définition de schéma à apprendre.
        * Si vous connaissez le typage en python vous savez comment utiliser Pydantic.
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  7. docs/fr/docs/index.md

    ---
    
    "_**Netflix** a le plaisir d'annoncer la sortie en open-source de notre framework d'orchestration de **gestion de crise** : **Dispatch** ! [construit avec **FastAPI**]_"
    
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  8. docs/en/data/external_links.yml

      - author: Mandy Gu
        author_link: https://towardsdatascience.com/@mandygu
        link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a
        title: 'Towards Data Science: Deploying Iris Classifications with FastAPI and Docker'
      - author: Michael Herman
        author_link: https://testdriven.io/authors/herman
        link: https://testdriven.io/blog/fastapi-crud/
    Others
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  9. docs/fr/docs/alternatives.md

    Comme les paramètres sont décrits avec des types TypeScript (similaires aux type hints de Python), la prise en charge
    par l'éditeur est assez bonne.
    
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  10. fastapi/routing.py

                        body=e.doc,
                    )
                    raise validation_error from e
                except HTTPException:
                    # If a middleware raises an HTTPException, it should be raised again
                    raise
                except Exception as e:
                    http_error = HTTPException(
                        status_code=400, detail="There was an error parsing the body"
                    )
    Python
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