code: def __call__(self, z: np.ndarray) -> np.ndarray:
      S = self._S
      A = self._A
      unit_z = z / self._upper_bounds
      shapes = self._shapes
      transformations = self._transformations
  
      y = unit_z
      for t_p in transformations:
          _y = np.empty((len(t_p),))
          for i in range(len(t_p)):
              if isinstance(
                  t_p[i],
                  transformation_functions.BaseReductionTransformation,
              ):
                  _y[i] = t_p[i](y)
              else:
                  _y[i] = t_p[i](y[i])
          y = _y
  
      x = np.empty(y.shape)
      x[:-1] = np.maximum(y[-1], A) * (y[:-1] - 0.5) + 0.5
      x[-1] = y[-1]
  
      f = x[-1] + S * np.asarray(
          [h(m + 1, x[:-1]) for m, h in enumerate(shapes)]
      )
      return f
  
imports: from __future__ import annotations
  import math
  import sys
  import numpy
  import shape_functions
  import transformation_functions
  from kurobako import problem
label_desc: Use image node_id 2 for calling the BaseWFG obj's underlying member method code with example usage: obj.__call__(z) and returns: f