code: def test_run_predict():
      """[Parallel | Wrapper] test predict with auxiliary"""
      lr, tr = EstimatorContainer().get_learner("stack", False, True)
      group = Group(learners=lr, transformers=tr, dtype=np.float64)
  
      _run(group, "fit", X, y)
      A = _run(group, "predict", X)
      np.testing.assert_array_equal(A, P)
  
imports: import numpy
  from mlens.testing import Data, EstimatorContainer
  from mlens.parallel import Group, Learner, Pipeline, run
  from mlens.utils.dummy import OLS, Scale
  from mlens.externals.sklearn.base import clone
label_desc: Use image node_id 16 for calling a global function with example usage: test_run_predict() without return types