code: def predict_withGradients(self, X):
      preds = [self.f(x) for x in X]
      return (
          np.atleast_2d(np.mean(preds) * np.ones(len(preds))),
          np.atleast_2d(np.std(preds) * np.ones(len(preds))),
          X,
          X,
      )
  
file_path: GPyOpt/GPyOpt/testing/functional_tests/mocks.py
imports: import numpy
  from GPyOpt.models.base import BOModel
label_desc: Use image node_id 2 for calling the MockModelVectorValuedPredict obj's underlying member method code with example usage: obj.predict_withGradients(X) and returns: np,  np,  X,  X