code: def _call(self, m: int, x: np.ndarray) -> float:
      if m == self.n_objectives:
          two_A_pi = 2 * self._n_segments * np.pi
          return np.power(
              1
              - x[0]
              - np.cos(two_A_pi * x[0] + np.pi / 2.0) / two_A_pi,
              self._alpha,
          )
  
      raise ValueError("m should be the number of objectives")
  
imports: import abc
  import numpy
label_desc: Use image node_id 2 for calling the MixedConvexOrConcaveShapeFunction obj's underlying member method code with example usage: obj._call(m, x) and returns: np