code: def predict(self, X):
      preds = [self.f(x) for x in X]
      return np.atleast_2d(np.mean(preds)), np.atleast_2d(np.std(preds))
  
file_path: GPyOpt/GPyOpt/testing/functional_tests/mocks.py
imports: import numpy
  from GPyOpt.models.base import BOModel
label_desc: Use image node_id 4 for calling the MockModel obj's underlying member method code with example usage: obj.predict(X) and returns: np,  np