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  1. docs/hu/docs/index.md

    * <a href="https://github.com/Kludex/python-multipart" target="_blank"><code>python-multipart</code></a> - Követelmény ha <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>-ot akarsz támogatni, `request.form()`-al.
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  2. docs/en/docs/release-notes.md

    ## 0.70.1
    
    There's nothing interesting in this particular FastAPI release. It is mainly to enable/unblock the release of the next version of Pydantic that comes packed with features and improvements. 🤩
    
    ### Fixes
    
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  3. docs/en/docs/deployment/manually.md

    The main thing you need to run a **FastAPI** application (or any other ASGI application) in a remote server machine is an ASGI server program like **Uvicorn**, this is the one that comes by default in the `fastapi` command.
    
    There are several alternatives, including:
    
    * <a href="https://www.uvicorn.org/" class="external-link" target="_blank">Uvicorn</a>: a high performance ASGI server.
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  4. README.md

    * <a href="https://github.com/Kludex/python-multipart" target="_blank"><code>python-multipart</code></a> - Required if you want to support form <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, with `request.form()`.
    
    Used by FastAPI / Starlette:
    
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  5. docs/en/docs/advanced/websockets.md

    ```
    
    !!! note "Technical Details"
        You could also use `from starlette.websockets import WebSocket`.
    
        **FastAPI** provides the same `WebSocket` directly just as a convenience for you, the developer. But it comes directly from Starlette.
    
    ## Await for messages and send messages
    
    In your WebSocket route you can `await` for messages and send messages.
    
    ```Python hl_lines="48-52"
    {!../../../docs_src/websockets/tutorial001.py!}
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  6. docs/en/docs/features.md

    ![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)
    
    You will get completion in code you might even consider impossible before. As for example, the `price` key inside a JSON body (that could have been nested) that comes from a request.
    
    No more typing the wrong key names, coming back and forth between docs, or scrolling up and down to find if you finally used `username` or `user_name`.
    
    ### Short
    
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  7. README.md

    and utilities for concurrency, I/O, hashing, primitives, strings, and more! It
    is widely used on most Java projects within Google, and widely used by many
    other companies as well.
    
    
    
    Guava comes in two flavors:
    
    *   The JRE flavor requires JDK 1.8 or higher.
    *   If you need support for Android, use
        [the Android flavor](https://github.com/google/guava/wiki/Android). You can
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  8. docs/vi/docs/index.md

    * <a href="https://github.com/Kludex/python-multipart" target="_blank"><code>python-multipart</code></a> - Bắt buộc nếu bạn muốn hỗ trợ <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>, form với `request.form()`.
    * <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - Bắt buộc để hỗ trợ `SessionMiddleware`.
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  9. docs/ja/docs/index.md

    - <a href="https://github.com/Kludex/python-multipart" target="_blank"><code>python-multipart</code></a> - <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>`request.form()`からの変換をサポートしたい場合は必要です。
    - <a href="https://pythonhosted.org/itsdangerous/" target="_blank"><code>itsdangerous</code></a> - `SessionMiddleware` サポートのためには必要です。
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  10. RELEASE.md

        and keyword arguments when calling the layer.
    *   Functional models now get constructed if *any* tensor in a layer call's
        arguments/keyword arguments comes from a keras input. Previously the
        functional api would only work if all of the elements in the first argument
        to the layer came from a keras input.
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