ENISE1/hf_env/lib/python3.14/site-packages/datasets/utils/experimental.py

"""Contains utilities to flag a feature as "experimental" in datasets."""

import warnings
from functools import wraps
from typing import Callable


def experimental(fn: Callable) -> Callable:
    """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!
    ```
    """

    @wraps(fn)
    def _inner_fn(*args, **kwargs):
        warnings.warn(
            (f"'{fn.__name__}' is experimental and might be subject to breaking changes in the future."),
            UserWarning,
        )
        return fn(*args, **kwargs)

    return _inner_fn