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  1. docs/en/docs/advanced/async-tests.md

    !!! tip
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  2. docs/de/docs/advanced/async-tests.md

    !!! tip "Tipp"
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  3. docs/em/docs/advanced/async-tests.md

    !!! tip
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  4. pyproject.toml

    ]
    xfail_strict = true
    junit_family = "xunit2"
    filterwarnings = [
        "error",
        # TODO: needed by asyncio in Python 3.9.7 https://bugs.python.org/issue45097, try to remove on 3.9.8
        'ignore:The loop argument is deprecated since Python 3\.8, and scheduled for removal in Python 3\.10:DeprecationWarning:asyncio',
        'ignore:starlette.middleware.wsgi is deprecated and will be removed in a future release\..*:DeprecationWarning:starlette',
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  5. docs/en/docs/alternatives.md

    !!! note "Technical Details"
        It used <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> instead of the default Python `asyncio` loop. That's what made it so fast.
    
        It clearly inspired Uvicorn and Starlette, that are currently faster than Sanic in open benchmarks.
    
    !!! check "Inspired **FastAPI** to"
        Find a way to have a crazy performance.
    
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  6. docs/en/docs/release-notes.md

    ## 0.47.1
    
    * Fix model filtering in `response_model`, cloning sub-models. PR [#889](https://github.com/tiangolo/fastapi/pull/889).
    * Fix FastAPI serialization of Pydantic models using ORM mode blocking the event loop. PR [#888](https://github.com/tiangolo/fastapi/pull/888).
    
    ## 0.47.0
    
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  7. docs/pt/docs/alternatives.md

    !!! note "Detalhes técnicos"
        Ele utiliza <a href="https://github.com/MagicStack/uvloop" class="external-link" target="_blank">`uvloop`</a> ao invés do '_loop_' `asyncio` padrão do Python. É isso que deixa ele tão rápido.
    
        Ele claramente inspirou Uvicorn e Starlette, que são atualmente mais rápidos que o Sanic em testes de performance abertos.
    
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