code: def pubdev_3567():
      train = h2o.import_file(
          pyunit_utils.locate("smalldata/jira/frameA2.csv"), header=1
      )
      test = h2o.import_file(
          pyunit_utils.locate("smalldata/jira/frameB2.csv"), header=1
      )
      mergedAns = h2o.import_file(
          pyunit_utils.locate("smalldata/jira/merged2.csv"), header=1
      )
      mergedAnsLeft = h2o.import_file(
          pyunit_utils.locate("smalldata/jira/merged2Left.csv"),
          header=1,
      )
      mergedAnsRight = h2o.import_file(
          pyunit_utils.locate("smalldata/jira/merged2Right.csv"),
          header=1,
      )
      merged = train.merge(
          test, by_x=["A"], by_y=["A"], method="auto"
      )  # default is radix
      print(merged[0, 0])
      mergedLeft = train.merge(test, by_x=["A"], by_y=["A"], all_x=True)
      print(mergedLeft[0, 0])
      mergedRight = train.merge(
          test, by_x=["A"], by_y=["A"], all_y=True
      )  # new feature
      print(mergedRight[0, 0])
  
      pyunit_utils.compare_frames_local(
          mergedAnsRight, mergedRight, 1, tol=1e-10
      )
      pyunit_utils.compare_frames_local(mergedAns, merged, 1, tol=1e-10)
      pyunit_utils.compare_frames_local(
          mergedAnsLeft, mergedLeft, 1, tol=1e-10
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: pubdev_3567() without return types