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  1. docs/fr/docs/benchmarks.md

    ## Tests de performance et rapidité
    
    Lorsque vous vérifiez les tests de performance, il est commun de voir plusieurs outils de différents types comparés comme équivalents.
    
    En particulier, on voit Uvicorn, Starlette et FastAPI comparés (parmi de nombreux autres outils).
    
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  2. docs/pt/docs/alternatives.md

        Ele claramente inspirou Uvicorn e Starlette, que são atualmente mais rápidos que o Sanic em testes de performance abertos.
    
    !!! check "**FastAPI** inspirado para"
        Achar um jeito de ter uma performance insana.
    
        É por isso que o **FastAPI** é baseado em Starlette, para que ele seja o framework mais rápido disponível (performance testada por terceiros).
    
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  3. 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
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  4. fastapi/__init__.py

    """FastAPI framework, high performance, easy to learn, fast to code, ready for production"""
    
    __version__ = "0.110.2"
    
    from starlette import status as status
    
    from .applications import FastAPI as FastAPI
    from .background import BackgroundTasks as BackgroundTasks
    from .datastructures import UploadFile as UploadFile
    from .exceptions import HTTPException as HTTPException
    from .exceptions import WebSocketException as WebSocketException
    Python
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  5. docs/en/docs/deployment/manually.md

        ```
    
        </div>
    
        !!! tip
            By adding the `standard`, Uvicorn will install and use some recommended extra dependencies.
    
            That including `uvloop`, the high-performance drop-in replacement for `asyncio`, that provides the big concurrency performance boost.
    
    === "Hypercorn"
    
        * <a href="https://gitlab.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>, an ASGI server also compatible with HTTP/2.
    
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  6. docs/pt/docs/async.md

    E esse é o mesmo nível de performance que você tem com o **FastAPI**.
    
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  7. docs/fr/docs/deployment/manually.md

        </div>
    
        !!! tip "Astuce"
            En ajoutant `standard`, Uvicorn va installer et utiliser quelques dépendances supplémentaires recommandées.
    
            Cela inclut `uvloop`, le remplaçant performant de `asyncio`, qui fournit le gros gain de performance en matière de concurrence.
    
    === "Hypercorn"
    
        * <a href="https://gitlab.com/pgjones/hypercorn" class="external-link" target="_blank">Hypercorn</a>, un serveur ASGI également compatible avec HTTP/2.
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  8. fastapi/dependencies/models.py

            self.call = call
            self.use_cache = use_cache
            # Store the path to be able to re-generate a dependable from it in overrides
            self.path = path
            # Save the cache key at creation to optimize performance
    Python
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  9. docs/en/docs/alternatives.md

    !!! check "Inspired **FastAPI** to"
        Find a way to have a crazy performance.
    
        That's why **FastAPI** is based on Starlette, as it is the fastest framework available (tested by third-party benchmarks).
    
    ### <a href="https://falconframework.org/" class="external-link" target="_blank">Falcon</a>
    
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  10. docs/en/docs/deployment/index.md

    To **deploy** an application means to perform the necessary steps to make it **available to the users**.
    
    For a **web API**, it normally involves putting it in a **remote machine**, with a **server program** that provides good performance, stability, etc, so that your **users** can **access** the application efficiently and without interruptions or problems.
    
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