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  1. docs/en/docs/alternatives.md

    !!! check "Inspired **FastAPI** to"
        Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before.
    
        This actually inspired updating parts of Pydantic, to support the same validation declaration style (all this functionality is now already available in Pydantic).
    
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  2. tests/test_compat.py

        # to support it as a first class "feature"
        assert is_bytes_sequence_annotation(Union[List[str], List[bytes]])
    
    
    def test_is_uploadfile_sequence_annotation():
        # For coverage
        # TODO: in theory this would allow declaring types that could be lists of UploadFile
        # and other types, but I'm not even sure it's a good idea to support it as a first
        # class "feature"
    Python
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  3. docs/en/docs/tutorial/path-params.md

    But you need `file_path` itself to contain a *path*, like `home/johndoe/myfile.txt`.
    
    So, the URL for that file would be something like: `/files/home/johndoe/myfile.txt`.
    
    ### OpenAPI support
    
    OpenAPI doesn't support a way to declare a *path parameter* to contain a *path* inside, as that could lead to scenarios that are difficult to test and define.
    
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  4. tests/test_response_by_alias.py

                        "proper OpenAPI use another model with the correct field names"
                    )
                }
            )
        else:
    
            class Config:
                schema_extra = {
                    "description": (
                        "response_model_by_alias=False is basically a quick hack, to support "
    Python
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  5. docs/en/docs/tutorial/response-model.md

    But in most of the cases where we need to do something like this, we want the model just to **filter/remove** some of the data as in this example.
    
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  6. docs/vi/docs/features.md

    * trong <a href="https://code.visualstudio.com/" class="external-link" target="_blank">Visual Studio Code</a>:
    
    ![editor support](https://fastapi.tiangolo.com/img/vscode-completion.png)
    
    * trong <a href="https://www.jetbrains.com/pycharm/" class="external-link" target="_blank">PyCharm</a>:
    
    ![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)
    
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  7. docs/en/docs/deployment/manually.md

    But if you want to directly use **Trio**, then you can use **Hypercorn** as it supports it. ✨
    
    ### Install Hypercorn with Trio
    
    First you need to install Hypercorn with Trio support:
    
    <div class="termy">
    
    ```console
    $ pip install "hypercorn[trio]"
    ---> 100%
    ```
    
    </div>
    
    ### Run with Trio
    
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  8. docs/en/docs/advanced/dataclasses.md

    So, even with the code above that doesn't use Pydantic explicitly, FastAPI is using Pydantic to convert those standard dataclasses to Pydantic's own flavor of dataclasses.
    
    And of course, it supports the same:
    
    * data validation
    * data serialization
    * data documentation, etc.
    
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  9. fastapi/param_functions.py

                Swagger UI (that provides the `/docs` interface) has better support for the
                OpenAPI-specific examples than the JSON Schema `examples`, that's the main
                use case for this.
    
                Read more about it in the
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  10. docs/fr/docs/tutorial/path-params.md

    Mais que `file_path` lui-même doit contenir un *chemin*, comme `home/johndoe/myfile.txt` par exemple.
    
    Donc, l'URL pour ce fichier pourrait être : `/files/home/johndoe/myfile.txt`.
    
    ### Support d'OpenAPI
    
    OpenAPI ne supporte pas de manière de déclarer un paramètre de chemin contenant un *chemin*, cela pouvant causer des scénarios difficiles à tester et définir.
    
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