+ QV-jI6Rt^RIt^RIHt^RIHtRRltR#)zCContains utilities to flag a feature as "experimental" in datasets.NwrapsCallablec0V^8dQhR\R\/#)fnreturnr)formats"l/Volumes/fast/ai/experiments/ui-tars-smoke/.venv/lib/python3.14/site-packages/datasets/utils/experimental.py __annotate__r s##X#(#c0a\S4V3Rl4pV#)a(Decorator 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! ``` cf<\P!RSP R2\4S!V/VB#)'zI' is experimental and might be subject to breaking changes in the future.)warningswarn__name__ UserWarning)argskwargsrs*,r _inner_fnexperimental.._inner_fn#s5  f g  4"6""r r)rrsf r experimentalrs#6 2Y## r )__doc__r functoolsrtypingrrr r rsI#r