"""
Minimal shim for `captum.attr.IntegratedGradients` used in neuro_symbolic explainability.
This avoids requiring the real Captum package during test collection while still allowing
code that imports `IntegratedGradients` to run (as a no-op shim).
"""
from typing import Any, Tuple


class IntegratedGradients:
    def __init__(self, model: Any):
        self.model = model

    def attribute(self, inputs: Any, target: int = 0, return_convergence_delta: bool = False) -> Tuple[Any, Any]:
        # Return zero-attribution and zero delta
        import numpy as np
        attr = np.zeros_like(inputs)
        delta = 0.0
        return attr, delta


__all__ = ["IntegratedGradients"]