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  1. docs/en/docs/tutorial/path-params.md

    You can use the same type declarations with `str`, `float`, `bool` and many other complex data types.
    
    Several of these are explored in the next chapters of the tutorial.
    
    ## Order matters
    
    When creating *path operations*, you can find situations where you have a fixed path.
    
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  2. docs/en/docs/benchmarks.md

        * So, by using FastAPI you are saving development time, bugs, lines of code, and you would probably get the same performance (or better) you would if you didn't use it (as you would have to implement it all in your code).
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  3. docs/en/docs/tutorial/testing.md

        This allows you to use `pytest` directly without complications.
    
    !!! note "Technical Details"
        You could also use `from starlette.testclient import TestClient`.
    
        **FastAPI** provides the same `starlette.testclient` as `fastapi.testclient` just as a convenience for you, the developer. But it comes directly from Starlette.
    
    !!! tip
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  4. docs/en/docs/advanced/dataclasses.md

    ## Dataclasses in Nested Data Structures
    
    You can also combine `dataclasses` with other type annotations to make nested data structures.
    
    In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.
    
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  5. 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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  6. docs/en/docs/reference/request.md

    # `Request` class
    
    You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc.
    
    You can import it directly from `fastapi`:
    
    ```python
    from fastapi import Request
    ```
    
    !!! tip
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  7. docs/en/docs/reference/background.md

    # Background Tasks - `BackgroundTasks`
    
    You can declare a parameter in a *path operation function* or dependency function with the type `BackgroundTasks`, and then you can use it to schedule the execution of background tasks after the response is sent.
    
    You can import it directly from `fastapi`:
    
    ```python
    from fastapi import BackgroundTasks
    ```
    
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  8. docs/en/docs/advanced/security/index.md

    !!! tip
        The next sections are **not necessarily "advanced"**.
    
        And it's possible that for your use case, the solution is in one of them.
    
    ## Read the Tutorial first
    
    The next sections assume you already read the main [Tutorial - User Guide: Security](../../tutorial/security/index.md){.internal-link target=_blank}.
    
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  9. fastapi/utils.py

                "Invalid args for response field! Hint: "
                f"check that {type_} is a valid Pydantic field type. "
                "If you are using a return type annotation that is not a valid Pydantic "
                "field (e.g. Union[Response, dict, None]) you can disable generating the "
                "response model from the type annotation with the path operation decorator "
    Python
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  10. docs/en/docs/tutorial/metadata.md

    ## Docs URLs
    
    You can configure the two documentation user interfaces included:
    
    * **Swagger UI**: served at `/docs`.
        * You can set its URL with the parameter `docs_url`.
        * You can disable it by setting `docs_url=None`.
    * **ReDoc**: served at `/redoc`.
        * You can set its URL with the parameter `redoc_url`.
        * You can disable it by setting `redoc_url=None`.
    
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