U -eH@s8dZddlZddlmZddlmZeedddZdS)zCContains utilities to flag a feature as "experimental" in datasets.Nwraps)Callable)fnreturncstfdd}|S)alDecorator to flag a feature as experimental. An experimental feature trigger a warning when used as it might be subject to breaking changes in the future. Args: fn (`Callable`): The function to flag as experimental. Returns: `Callable`: The decorated function. Example: ```python >>> from datasets.utils import experimental >>> @experimental ... def my_function(): ... print("Hello world!") >>> my_function() UserWarning: 'my_function' is experimental and might be subject to breaking changes in the future. Hello world! ``` cs tdjdt||S)N'zI' is experimental and might be subject to breaking changes in the future.)warningswarn__name__ UserWarning)argskwargsr\/var/www/html/Darija-Ai-Train/env/lib/python3.8/site-packages/datasets/utils/experimental.py _inner_fn"s  zexperimental.._inner_fnr)rrrrr experimentalsr)__doc__r functoolsrtypingrrrrrrs