import torch

from shok.utils import functions


class PassRound(torch.nn.Module):
    """
    A custom torch.nn.Module that applies a soft rounding operation to the input tensor.

    Args:
        x (torch.Tensor): The input tensor to be rounded.
        y (optional): An optional secondary input, passed through unchanged.

    Returns:
        Tuple[torch.Tensor, Any]: A tuple containing the rounded tensor and the optional secondary input.

    Note:
        The actual rounding logic is implemented in `functions.PassRound.apply`.

    """

    def forward(self, x: torch.Tensor, y=None) -> torch.Tensor:
        """
        Applies a placeholder soft rounding operation to the input tensor.

        Args:
            x (torch.Tensor): Input tensor to be processed.
            y (optional): Additional input, currently unused.

        Returns:
            Tuple[torch.Tensor, Any]: A tuple containing the processed tensor and the second input (y).

        """
        # Placeholder for soft rounding logic
        return functions.PassRound.apply(x), y
