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  1. docs/en/docs/advanced/dataclasses.md

        FastAPI will use the `response_model` parameter (that includes dataclasses) to convert the response.
    
    You can combine `dataclasses` with other type annotations in many different combinations to form complex data structures.
    
    Check the in-code annotation tips above to see more specific details.
    
    ## Learn More
    
    You can also combine `dataclasses` with other Pydantic models, inherit from them, include them in your own models, etc.
    
    Plain Text
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  2. tests/test_tutorial/test_schema_extra_example/test_tutorial001_pv1.py

        )
        assert response.status_code == 200
    
    
    @needs_pydanticv1
    def test_openapi_schema(client: TestClient):
        response = client.get("/openapi.json")
        assert response.status_code == 200, response.text
        # insert_assert(response.json())
        assert response.json() == {
            "openapi": "3.1.0",
            "info": {"title": "FastAPI", "version": "0.1.0"},
            "paths": {
                "/items/{item_id}": {
                    "put": {
    Python
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  3. docs/fr/mkdocs.yml

    INHERIT: ../en/mkdocs.yml...
    Others
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  4. docs/zh-hant/mkdocs.yml

    INHERIT: ../en/mkdocs.yml...
    Others
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  5. tests/test_tutorial/test_schema_extra_example/test_tutorial005_an.py

                                        "converted": {
                                            "summary": "An example with converted data",
                                            "description": "FastAPI can convert price `strings` to actual `numbers` automatically",
                                            "value": {"name": "Bar", "price": "35.4"},
                                        },
                                        "invalid": {
    Python
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  6. fastapi/params.py

            deprecated: Union[deprecated, str, bool, None] = None,
            include_in_schema: bool = True,
            json_schema_extra: Union[Dict[str, Any], None] = None,
            **extra: Any,
        ):
            self.convert_underscores = convert_underscores
            super().__init__(
                default=default,
                default_factory=default_factory,
                annotation=annotation,
                alias=alias,
    Python
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  7. fastapi/param_functions.py

                fields will be ignored at serialization time.
                """
            ),
        ] = None,
        convert_underscores: Annotated[
            bool,
            Doc(
                """
                Automatically convert underscores to hyphens in the parameter field name.
    
                Read more about it in the
    Python
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  8. docs/en/docs/advanced/behind-a-proxy.md

    If you pass a custom list of `servers` and there's a `root_path` (because your API lives behind a proxy), **FastAPI** will insert a "server" with this `root_path` at the beginning of the list.
    
    For example:
    
    ```Python hl_lines="4-7"
    {!../../../docs_src/behind_a_proxy/tutorial003.py!}
    ```
    
    Will generate an OpenAPI schema like:
    
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  9. docs/en/docs/tutorial/response-model.md

    FastAPI will use this `response_model` to do all the data documentation, validation, etc. and also to **convert and filter the output data** to its type declaration.
    
    !!! tip
        If you have strict type checks in your editor, mypy, etc, you can declare the function return type as `Any`.
    
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  10. docs/en/docs/tutorial/security/get-current-user.md

        !!! tip
            Prefer to use the `Annotated` version if possible.
    
        ```Python hl_lines="19-22  26-27"
        {!> ../../../docs_src/security/tutorial002.py!}
        ```
    
    ## Inject the current user
    
    So now we can use the same `Depends` with our `get_current_user` in the *path operation*:
    
    === "Python 3.10+"
    
        ```Python hl_lines="31"
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