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  1. 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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  2. docs/en/docs/tutorial/middleware.md

    ## Create a middleware
    
    To create a middleware you use the decorator `@app.middleware("http")` on top of a function.
    
    The middleware function receives:
    
    * The `request`.
    * A function `call_next` that will receive the `request` as a parameter.
        * This function will pass the `request` to the corresponding *path operation*.
        * Then it returns the `response` generated by the corresponding *path operation*.
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  3. docs_src/security/tutorial003_an_py39.py

        if username in db:
            user_dict = db[username]
            return UserInDB(**user_dict)
    
    
    def fake_decode_token(token):
        # This doesn't provide any security at all
        # Check the next version
        user = get_user(fake_users_db, token)
        return user
    
    
    async def get_current_user(token: Annotated[str, Depends(oauth2_scheme)]):
        user = fake_decode_token(token)
        if not user:
    Python
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  4. docs/en/docs/benchmarks.md

        * If you are comparing Uvicorn, compare it against Daphne, Hypercorn, uWSGI, etc. Application servers.
    * **Starlette**:
        * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code.
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  5. docs/de/docs/tutorial/middleware.md

    ## Erstellung einer Middleware
    
    Um eine Middleware zu erstellen, verwenden Sie den Dekorator `@app.middleware("http")` über einer Funktion.
    
    Die Middleware-Funktion erhält:
    
    * Den `request`.
    * Eine Funktion `call_next`, die den `request` als Parameter erhält.
        * Diese Funktion gibt den `request` an die entsprechende *Pfadoperation* weiter.
        * Dann gibt es die von der entsprechenden *Pfadoperation* generierte `response` zurück.
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  6. docs/en/docs/deployment/concepts.md

    I'll show you some concrete examples in the next chapters.
    
    ---
    
    Then the next concepts to consider are all about the program running your actual API (e.g. Uvicorn).
    
    ## Program and Process
    
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  7. docs/en/docs/contributing.md

        some/directory/fastapi/env/bin/pip
        ```
    
        </div>
    
    If it shows the `pip` binary at `env/bin/pip` then it worked. 🎉
    
    Make sure you have the latest pip version on your local environment to avoid errors on the next steps:
    
    <div class="termy">
    
    ```console
    $ python -m pip install --upgrade pip
    
    ---> 100%
    ```
    
    </div>
    
    !!! tip
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  8. docs/en/docs/deployment/manually.md

    # Run a Server Manually
    
    ## Use the `fastapi run` Command
    
    In short, use `fastapi run` to serve your FastAPI application:
    
    <div class="termy">
    
    ```console
    $ <font color="#4E9A06">fastapi</font> run <u style="text-decoration-style:single">main.py</u>
    <font color="#3465A4">INFO    </font> Using path <font color="#3465A4">main.py</font>
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  9. docs/en/docs/tutorial/security/get-current-user.md

    We are already halfway there.
    
    We just need to add a *path operation* for the user/client to actually send the `username` and `password`.
    
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  10. 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.
    
    Like `/users/me`, let's say that it's to get data about the current user.
    
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