code: def _call(self, m: int, x: np.ndarray) -> float:
      if m == 1:
          return x[:-1].prod()
  
      if m == self.n_objectives:
          return 1 - x[0]
  
      return x[: self.n_objectives - m].prod() * (
          1.0 - x[self.n_objectives - m]
      )
  
imports: import abc
  import numpy
label_desc: Use image node_id 1 for calling the LinearShapeFunction obj's underlying member method code with example usage: obj._call(m, x) and returns: unknown, x, unknown