code: def main():
      bi.init("R", "../../../h2o-r/h2o-package/R", clear_dir=False)
  
      for name, mb in bi.model_builders().items():
          module = name
          file_name = name
          if name == "drf":
              module = "randomForest"
              file_name = "randomforest"
          if name == "dt":
              module = "decision_tree"
              file_name = "decisiontree"
          if name == "upliftdrf":
              module = "upliftRandomForest"
              file_name = "upliftrandomforest"
          if name == "isolationforest":
              module = "isolationForest"
          if name == "extendedisolationforest":
              module = "extendedIsolationForest"
          if name == "naivebayes":
              module = "naiveBayes"
          if name == "stackedensemble":
              module = "stackedEnsemble"
          if name == "pca":
              module = "prcomp"
          if name == "modelselection":
              module = "modelSelection"
          if name == "adaboost":
              module = "adaBoost"
          bi.vprint("Generating model: " + name)
          bi.write_to_file(
              "%s.R" % file_name, gen_module(mb, name, module)
          )
  
file_path: h2o-3/h2o-bindings/bin/gen_R.py
imports: from collections import OrderedDict
  from copy import deepcopy
  from functools import partial
  import bindings
  from custom import get_customizations_for, reformat_block
label_desc: Use image node_id 9 for calling a global function with example usage: main() without return types