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  1. 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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  2. 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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  3. 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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  4. docs/en/docs/advanced/generate-clients.md

    But I'll show you how to improve that next. 🤓
    
    ## Custom Operation IDs and Better Method Names
    
    You can **modify** the way these operation IDs are **generated** to make them simpler and have **simpler method names** in the clients.
    
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  5. docs/en/docs/alternatives.md

    This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.
    
    Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.
    
    !!! check "Inspired **FastAPI** to"
        Be a micro-framework. Making it easy to mix and match the tools and parts needed.
    
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  6. docs/en/docs/advanced/openapi-callbacks.md

    The only new thing is the `callbacks=invoices_callback_router.routes` as an argument to the *path operation decorator*. We'll see what that is next.
    
    ## Documenting the callback
    
    The actual callback code will depend heavily on your own API app.
    
    And it will probably vary a lot from one app to the next.
    
    It could be just one or two lines of code, like:
    
    ```Python
    callback_url = "https://example.com/api/v1/invoices/events/"
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  7. docs/en/docs/tutorial/security/oauth2-jwt.md

    But it's signed. So, when you receive a token that you emitted, you can verify that you actually emitted it.
    
    That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.
    
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  8. docs/en/docs/tutorial/bigger-applications.md

    ```Python hl_lines="3" title="app/routers/items.py"
    {!../../../docs_src/bigger_applications/app/routers/items.py!}
    ```
    
    #### How relative imports work
    
    !!! tip
        If you know perfectly how imports work, continue to the next section below.
    
    A single dot `.`, like in:
    
    ```Python
    from .dependencies import get_token_header
    ```
    
    would mean:
    
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  9. docs/en/docs/python-types.md

    But even if you never use **FastAPI**, you would benefit from learning a bit about them.
    
    !!! note
        If you are a Python expert, and you already know everything about type hints, skip to the next chapter.
    
    ## Motivation
    
    Let's start with a simple example:
    
    ```Python
    {!../../../docs_src/python_types/tutorial001.py!}
    ```
    
    Calling this program outputs:
    
    ```
    John Doe
    ```
    
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  10. tests/test_application.py

        assert response.headers["content-type"] == "text/html; charset=utf-8"
        assert "window.opener.swaggerUIRedirectOauth2" in response.text
    
    
    def test_redoc():
        response = client.get("/redoc")
        assert response.status_code == 200, response.text
        assert response.headers["content-type"] == "text/html; charset=utf-8"
        assert "redoc@next" in response.text
    
    
    Python
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