code: def __init__(
      self,
      w: np.ndarray,
      input_converter: Callable[[np.ndarray], np.ndarray],
      a: float,
      b: float,
      c: float,
      i: int,
  ) -> None:
      assert 0 < a < 1
      assert 0 < b < c
  
      self._w = w
      self._input_converter = input_converter
      self._a = a
      self._b = b
      self._c = c
      self._i = i
  
imports: from __future__ import annotations
  import abc
  from typing import Callable
  from typing import Union
  import numpy
label_desc: Use image node_id 1 to create a new ParameterDependentBiasTransformation object from inherited base classes: BaseReductionTransformation with example: obj = ParameterDependentBiasTransformation(w, input_converter, a, b, c, i)