code: def __call__(self, y: float) -> float:
      a = self._a
      b = self._b
      c = self._c
  
      q1 = np.floor(y - a + b) * (1.0 - c + (a - b) / b)
      q2 = np.floor(a + b - y) * (1.0 - c + (1.0 - a - b) / b)
      return 1.0 + (np.fabs(y - a) - b) * (
          q1 / (a - b) + q2 / (1.0 - a - b) + 1.0 / b
      )
  
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 DeceptiveShiftTransformation obj's underlying member method code with example usage: obj.__call__(y) and returns: unknown