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  1. docs/en/docs/advanced/behind-a-proxy.md

        And the `--root-path` command line option provides that `root_path`.
    
    ### Checking the current `root_path`
    
    You can get the current `root_path` used by your application for each request, it is part of the `scope` dictionary (that's part of the ASGI spec).
    
    Here we are including it in the message just for demonstration purposes.
    
    ```Python hl_lines="8"
    {!../../../docs_src/behind_a_proxy/tutorial001.py!}
    ```
    
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  2. docs/fr/docs/history-design-future.md

    > Quelle est l'histoire de ce projet ? Il semble être sorti de nulle part et est devenu génial en quelques semaines [...].
    
    Voici un petit bout de cette histoire.
    
    ## Alternatives
    
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  3. docs/en/docs/tutorial/path-params.md

    Using an option directly from Starlette you can declare a *path parameter* containing a *path* using a URL like:
    
    ```
    /files/{file_path:path}
    ```
    
    In this case, the name of the parameter is `file_path`, and the last part, `:path`, tells it that the parameter should match any *path*.
    
    So, you can use it with:
    
    ```Python hl_lines="6"
    {!../../../docs_src/path_params/tutorial004.py!}
    ```
    
    !!! tip
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  4. docs/en/docs/tutorial/first-steps.md

    This will be the main point of interaction to create all your API.
    
    ### Step 3: create a *path operation*
    
    #### Path
    
    "Path" here refers to the last part of the URL starting from the first `/`.
    
    So, in a URL like:
    
    ```
    https://example.com/items/foo
    ```
    
    ...the path would be:
    
    ```
    /items/foo
    ```
    
    !!! info
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  5. docs/en/docs/tutorial/bigger-applications.md

    You want to have the *path operations* related to your users separated from the rest of the code, to keep it organized.
    
    But it's still part of the same **FastAPI** application/web API (it's part of the same "Python Package").
    
    You can create the *path operations* for that module using `APIRouter`.
    
    ### Import `APIRouter`
    
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  6. docs/en/docs/tutorial/request-forms-and-files.md

        This is not a limitation of **FastAPI**, it's part of the HTTP protocol.
    
    ## Recap
    
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  7. docs/en/docs/deployment/concepts.md

    * Kubernetes with an Ingress Controller like Nginx
        * With an external component like cert-manager for certificate renewals
    * Handled internally by a cloud provider as part of their services (read below 👇)
    
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  8. docs/en/docs/how-to/custom-request-and-route.md

        A `Request` also has a `request.receive`, that's a function to "receive" the body of the request.
    
        The `scope` `dict` and `receive` function are both part of the ASGI specification.
    
        And those two things, `scope` and `receive`, are what is needed to create a new `Request` instance.
    
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  9. pyproject.toml

        # For ORJSONResponse
        "orjson >=3.2.1",
        # To validate email fields
        "email_validator >=2.0.0",
        # Uvicorn with uvloop
        "uvicorn[standard] >=0.12.0",
        # TODO: this should be part of some pydantic optional extra dependencies
        # # Settings management
        # "pydantic-settings >=2.0.0",
        # # Extra Pydantic data types
        # "pydantic-extra-types >=2.0.0",
    ]
    
    all = [
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  10. docs/fr/docs/async.md

    * **Coroutines**
    
    ## Code asynchrone
    
    Faire du code asynchrone signifie que le langage 💬 est capable de dire à l'ordinateur / au programme 🤖 qu'à un moment du code, il 🤖 devra attendre que *quelque chose d'autre* se termine autre part. Disons que ce *quelque chose d'autre* est appelé "fichier-lent" 📝.
    
    Donc, pendant ce temps, l'ordinateur pourra effectuer d'autres tâches, pendant que "fichier-lent" 📝 se termine.
    
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