code: def h2o_H2OFrame_types():
      """
      Python API test: h2o.frame.H2OFrame.types
  
      Copied frm pyunit_trim.py
      """
      column_types = [
          "string",
          "numeric",
          "numeric",
          "numeric",
          "numeric",
          "numeric",
          "numeric",
          "numeric",
      ]
      frame = h2o.import_file(
          path=pyunit_utils.locate("smalldata/junit/cars_trim.csv"),
          col_types=column_types,
      )
      frameTypes = frame.types
  
      index = 0
      for cnames in frame.names:
          assert frameTypes[cnames] == frame.type(
              cnames
          ), "h2o.H2OFrame.types command is not working."
          assert (
              frame.type(index) == column_types[index]
              or frame.type(index) == "int"
              or frame.type(index) == "real"
          ), "h2o.H2OFrame.type() command is not working."
          index += 1
  
label_desc: Use image node_id 1 for calling a global function with example usage: h2o_H2OFrame_types() without return types