code: def _forward_mode(self, *args):
          
          # Parse arguments into two numpy arrays
          X: np.ndarray
          dX: np.ndarray
          X, dX = self._parse_dicts(*args)
          # The value is X
          if X is not None:
              val = X
          else:
              val = self.X
          # The derivative is the seed dX
          if dX is not None:
              diff = dX
          else:
              diff = np.ones_like(val)
          # Return both arrays
          return (val, diff)
docs: Forward mode differentiation for variables