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  1. docs/es/docs/advanced/response-directly.md

    Para esos casos, puedes usar el `jsonable_encoder` para convertir tus datos antes de pasarlos a la respuesta:
    
    ```Python hl_lines="4 6 20 21"
    {!../../../docs_src/response_directly/tutorial001.py!}
    ```
    
    !!! note "Detalles Técnicos"
        También puedes usar `from starlette.responses import JSONResponse`.
    
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  2. docs/zh/docs/advanced/using-request-directly.md

    不过,仍可以验证、转换与注释(使用 Pydantic 模型的请求体等)其它正常声明的参数。
    
    但在某些特定情况下,还是需要提取 `Request` 对象。
    
    ## 直接使用 `Request` 对象
    
    假设要在*路径操作函数*中获取客户端 IP 地址和主机。
    
    此时,需要直接访问请求。
    
    ```Python hl_lines="1  7-8"
    {!../../../docs_src/using_request_directly/tutorial001.py!}
    ```
    
    把*路径操作函数*的参数类型声明为 `Request`,**FastAPI** 就能把 `Request` 传递到参数里。
    
    !!! tip "提示"
    
        注意,本例除了声明请求参数之外,还声明了路径参数。
    
        因此,能够提取、验证路径参数、并转换为指定类型,还可以用 OpenAPI 注释。
    
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  3. docs/en/docs/tutorial/static-files.md

    ## Details
    
    The first `"/static"` refers to the sub-path this "sub-application" will be "mounted" on. So, any path that starts with `"/static"` will be handled by it.
    
    The `directory="static"` refers to the name of the directory that contains your static files.
    
    The `name="static"` gives it a name that can be used internally by **FastAPI**.
    
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  4. docs/en/docs/contributing.md

    ### Virtual environment with `venv`
    
    You can create an isolated virtual local environment in a directory using Python's `venv` module. Let's do this in the cloned repository (where the `requirements.txt` is):
    
    <div class="termy">
    
    ```console
    $ python -m venv env
    ```
    
    </div>
    
    That will create a directory `./env/` with the Python binaries, and then you will be able to install packages for that local environment.
    
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  5. docs/en/docs/tutorial/testing.md

        This allows you to use `pytest` directly without complications.
    
    !!! note "Technical Details"
        You could also use `from starlette.testclient import TestClient`.
    
        **FastAPI** provides the same `starlette.testclient` as `fastapi.testclient` just as a convenience for you, the developer. But it comes directly from Starlette.
    
    !!! tip
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  6. docs_src/templates/tutorial001.py

    from fastapi.responses import HTMLResponse
    from fastapi.staticfiles import StaticFiles
    from fastapi.templating import Jinja2Templates
    
    app = FastAPI()
    
    app.mount("/static", StaticFiles(directory="static"), name="static")
    
    
    templates = Jinja2Templates(directory="templates")
    
    
    @app.get("/items/{id}", response_class=HTMLResponse)
    async def read_item(request: Request, id: str):
        return templates.TemplateResponse(
    Python
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  7. docs/en/docs/reference/request.md

    # `Request` class
    
    You can declare a parameter in a *path operation function* or dependency to be of type `Request` and then you can access the raw request object directly, without any validation, etc.
    
    You can import it directly from `fastapi`:
    
    ```python
    from fastapi import Request
    ```
    
    !!! tip
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  8. docs/en/docs/benchmarks.md

    * **Uvicorn**:
        * Will have the best performance, as it doesn't have much extra code apart from the server itself.
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  9. docs/en/docs/tutorial/security/get-current-user.md

    Remember that dependencies can have sub-dependencies?
    
    `get_current_user` will have a dependency with the same `oauth2_scheme` we created before.
    
    The same as we were doing before in the *path operation* directly, our new dependency `get_current_user` will receive a `token` as a `str` from the sub-dependency `oauth2_scheme`:
    
    === "Python 3.10+"
    
        ```Python hl_lines="25"
        {!> ../../../docs_src/security/tutorial002_an_py310.py!}
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  10. docs/en/docs/reference/background.md

    You can declare a parameter in a *path operation function* or dependency function with the type `BackgroundTasks`, and then you can use it to schedule the execution of background tasks after the response is sent.
    
    You can import it directly from `fastapi`:
    
    ```python
    from fastapi import BackgroundTasks
    ```
    
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