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  1. fastapi/param_functions.py

            Optional[float],
            Doc(
                """
                Greater than. If set, value must be greater than this. Only applicable to
                numbers.
                """
            ),
        ] = None,
        ge: Annotated[
            Optional[float],
            Doc(
                """
                Greater than or equal. If set, value must be greater than or equal to
                this. Only applicable to numbers.
                """
    Python
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  2. docs/en/docs/benchmarks.md

    Specifically, to see Uvicorn, Starlette and FastAPI compared together (among many other tools).
    
    The simpler the problem solved by the tool, the better performance it will get. And most of the benchmarks don't test the additional features provided by the tool.
    
    The hierarchy is like:
    
    * **Uvicorn**: an ASGI server
        * **Starlette**: (uses Uvicorn) a web microframework
    Plain Text
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  3. docs/en/docs/contributing.md

    * If you translate pages, add a single pull request per page translated. That will make it much easier for others to review it.
    
    * To check the 2-letter code for the language you want to translate, you can use the table <a href="https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes" class="external-link" target="_blank">List of ISO 639-1 codes</a>.
    
    #### Existing language
    
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  4. docs/en/docs/deployment/manually.md

    ```console
    $ hypercorn main:app --worker-class trio
    ```
    
    </div>
    
    And that will start Hypercorn with your app using Trio as the backend.
    
    Now you can use Trio internally in your app. Or even better, you can use AnyIO, to keep your code compatible with both Trio and asyncio. 🎉
    
    ## Deployment Concepts
    
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  5. 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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  6. docs/en/docs/tutorial/response-model.md

    And in those cases, we can use classes and inheritance to take advantage of function **type annotations** to get better support in the editor and tools, and still get the FastAPI **data filtering**.
    
    === "Python 3.10+"
    
        ```Python hl_lines="7-10  13-14  18"
        {!> ../../../docs_src/response_model/tutorial003_01_py310.py!}
        ```
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  7. docs/en/docs/alternatives.md

        And after searching for a long time for a similar framework and testing many different alternatives, APIStar was the best option available.
    
        Then APIStar stopped to exist as a server and Starlette was created, and was a new better foundation for such a system. That was the final inspiration to build **FastAPI**.
    
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  8. docs/de/docs/tutorial/path-params-numeric-validations.md

    Zahlenvalidierung funktioniert auch für <abbr title="Kommazahl">`float`</abbr>-Werte.
    
    Hier wird es wichtig, in der Lage zu sein, <abbr title="greater than – größer als"><code>gt</code></abbr> zu deklarieren, und nicht nur <abbr title="greater than or equal – größer oder gleich"><code>ge</code></abbr>, da Sie hiermit bestimmen können, dass ein Wert, zum Beispiel, größer als `0` sein muss, obwohl er kleiner als `1` ist.
    
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  9. docs/en/docs/python-types.md

    These **"type hints"** or annotations are a special syntax that allow declaring the <abbr title="for example: str, int, float, bool">type</abbr> of a variable.
    
    By declaring types for your variables, editors and tools can give you better support.
    
    This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.
    
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  10. docs/en/docs/deployment/concepts.md

    If you are paying for 3 servers but you are using only a little bit of their RAM and CPU, you are probably **wasting money** 💸, and probably **wasting server electric power** 🌎, etc.
    
    In that case, it could be better to have only 2 servers and use a higher percentage of their resources (CPU, memory, disk, network bandwidth, etc).
    
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