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  1. docs/en/docs/deployment/server-workers.md

    From the list of deployment concepts from above, using workers would mainly help with the **replication** part, and a little bit with the **restarts**, but you still need to take care of the others:
    
    * **Security - HTTPS**
    * **Running on startup**
    * ***Restarts***
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  2. docs/en/docs/tutorial/security/index.md

    That's what makes it possible to have multiple automatic interactive documentation interfaces, code generation, etc.
    
    OpenAPI has a way to define multiple security "schemes".
    
    By using them, you can take advantage of all these standard-based tools, including these interactive documentation systems.
    
    OpenAPI defines the following security schemes:
    
    * `apiKey`: an application specific key that can come from:
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  3. docs/en/docs/deployment/docker.md

    Downloading and installing the package dependencies **could take minutes**, but using the **cache** would **take seconds** at most.
    
    And as you would be building the container image again and again during development to check that your code changes are working, there's a lot of accumulated time this would save.
    
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  4. docs/en/docs/tutorial/body-updates.md

    ```Python
    {
        "name": "Barz",
        "price": 3,
        "description": None,
    }
    ```
    
    because it doesn't include the already stored attribute `"tax": 20.2`, the input model would take the default value of `"tax": 10.5`.
    
    And the data would be saved with that "new" `tax` of `10.5`.
    
    ## Partial updates with `PATCH`
    
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  5. docs/en/docs/tutorial/body.md

        ```
    
    ## Request body + path + query parameters
    
    You can also declare **body**, **path** and **query** parameters, all at the same time.
    
    **FastAPI** will recognize each of them and take the data from the correct place.
    
    === "Python 3.10+"
    
        ```Python hl_lines="16"
        {!> ../../../docs_src/body/tutorial004_py310.py!}
        ```
    
    === "Python 3.8+"
    
        ```Python hl_lines="18"
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  6. docs/en/docs/advanced/additional-responses.md

    Each of those response `dict`s can have a key `model`, containing a Pydantic model, just like `response_model`.
    
    **FastAPI** will take that model, generate its JSON Schema and include it in the correct place in OpenAPI.
    
    For example, to declare another response with a status code `404` and a Pydantic model `Message`, you can write:
    
    ```Python hl_lines="18  22"
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  7. docs/ru/docs/contributing.md

    <div class="termy">
    
    ```console
    $ typer --install-completion
    
    zsh completion installed in /home/user/.bashrc.
    Completion will take effect once you restart the terminal.
    ```
    
    </div>
    
    ### Приложения и документация одновременно
    
    Если Вы запускаете приложение, например так:
    
    <div class="termy">
    
    ```console
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  8. docs/en/docs/advanced/testing-dependencies.md

    An example could be that you have an external authentication provider that you need to call.
    
    You send it a token and it returns an authenticated user.
    
    This provider might be charging you per request, and calling it might take some extra time than if you had a fixed mock user for tests.
    
    You probably want to test the external provider once, but not necessarily call it for every test that runs.
    
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  9. docs/en/docs/tutorial/header-params.md

            "foo"
        ]
    }
    ```
    
    ## Recap
    
    Declare headers with `Header`, using the same common pattern as `Query`, `Path` and `Cookie`.
    
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  10. docs/en/docs/advanced/events.md

    The same models are shared among requests, so, it's not one model per request, or one per user or something similar.
    
    Let's imagine that loading the model can **take quite some time**, because it has to read a lot of **data from disk**. So you don't want to do it for every request.
    
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