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  1. pyproject.toml

    ]
    xfail_strict = true
    junit_family = "xunit2"
    filterwarnings = [
        "error",
        # TODO: needed by asyncio in Python 3.9.7 https://bugs.python.org/issue45097, try to remove on 3.9.8
        'ignore:The loop argument is deprecated since Python 3\.8, and scheduled for removal in Python 3\.10:DeprecationWarning:asyncio',
        'ignore:starlette.middleware.wsgi is deprecated and will be removed in a future release\..*:DeprecationWarning:starlette',
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  2. docs/en/docs/release-notes.md

    with `Annotated` would **not be affected** at all.
    
    If you call those functions in **other places in your code**, the actual **default values** will be kept, your editor will help you notice missing **required arguments**, Python will require you to pass required arguments at **runtime**, you will be able to **use the same functions** for different things and with different libraries (e.g. **Typer** will soon support `Annotated` too, then you could use the same function for an API and a CLI),...
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  3. docs/en/docs/advanced/openapi-callbacks.md

    The only new thing is the `callbacks=invoices_callback_router.routes` as an argument to the *path operation decorator*. We'll see what that is next.
    
    ## Documenting the callback
    
    The actual callback code will depend heavily on your own API app.
    
    And it will probably vary a lot from one app to the next.
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  4. docs/en/docs/features.md

        "joined": "2018-11-30",
    }
    
    my_second_user: User = User(**second_user_data)
    ```
    
    !!! info
        `**second_user_data` means:
    
        Pass the keys and values of the `second_user_data` dict directly as key-value arguments, equivalent to: `User(id=4, name="Mary", joined="2018-11-30")`
    
    ### Editor support
    
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  5. docs/en/docs/advanced/settings.md

    So, the function below it will be executed once for each combination of arguments. And then the values returned by each of those combinations of arguments will be used again and again whenever the function is called with exactly the same combination of arguments.
    
    For example, if you have a function:
    
    ```Python
    @lru_cache
    def say_hi(name: str, salutation: str = "Ms."):
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