code: def f(self, X):
      X = reshape(X, self.input_dim)
      n = X.shape[0]
      if X.shape[1] != self.input_dim:
          return "Wrong input dimension"
      else:
          x1 = X[:, 0]
          x2 = X[:, 1]
          fval = -(x2 + 47) * np.sin(
              np.sqrt(abs(x2 + x1 / 2 + 47))
          ) + -x1 * np.sin(np.sqrt(abs(x1 - (x2 + 47))))
          if self.sd == 0:
              noise = np.zeros(n).reshape(n, 1)
          else:
              noise = np.random.normal(0, self.sd, n).reshape(n, 1)
          return fval.reshape(n, 1) + noise
  
imports: import numpy
  from ..util.general import reshape
label_desc: Use image node_id 2 for calling the eggholder obj's underlying member method code with example usage: obj.f(X) and returns: str, unknown