code: def set_parallel(value):
      h2o.rapids(
          '(setproperty "{}" "{}")'.format(
              "sys.ai.h2o.sharedtree.crossvalidation.parallelMainModelBuilding",
              str(value).lower(),
          )
      )
  
imports: import sys
  import h2o
  from tests import pyunit_utils
  from h2o.estimators.gbm import H2OGradientBoostingEstimator
label_desc: Use image node_id 1 for calling a global function with example usage: set_parallel(value) without return types