code: def __call__(self, y: np.ndarray) -> float:
      w = self._w
      a = self._a
      b = self._b
      c = self._c
      i = self._i
  
      u = (self._input_converter(y) * w).sum() / w.sum()
      v = a - (1.0 - 2 * u) * np.fabs(np.floor(0.5 - u) + a)
      return np.power(y[i], b + (c - b) * v)
  
imports: from __future__ import annotations
  import abc
  from typing import Callable
  from typing import Union
  import numpy
label_desc: Use image node_id 2 for calling the ParameterDependentBiasTransformation obj's underlying member method code with example usage: obj.__call__(y) and returns: np