code: def h2o_H2OFrame_trim():
      """
      Python API test: h2o.frame.H2OFrame.trim()
  
      Copied frm pyunit_trim.py
      """
      frame = h2o.import_file(
          path=pyunit_utils.locate("smalldata/junit/cars_trim.csv"),
          col_types=[
              "string",
              "numeric",
              "numeric",
              "numeric",
              "numeric",
              "numeric",
              "numeric",
              "numeric",
          ],
      )
  
      # single column (frame)
      trimmed_frame = frame["name"].trim()
      assert (
          trimmed_frame[0, 0] == "AMC Ambassador Brougham"
      ), "Expected 'AMC Ambassador Brougham', " "but got {}".format(
          trimmed_frame[0, 0]
      )
      assert (
          trimmed_frame[1, 0] == "AMC Ambassador DPL"
      ), "Expected 'AMC Ambassador DPL', " "but got {}".format(
          trimmed_frame[1, 0]
      )
      assert (
          trimmed_frame[2, 0] == "AMC Ambassador SST"
      ), "Expected 'AMC Ambassador SST', " "but got {}".format(
          trimmed_frame[2, 0]
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: h2o_H2OFrame_trim() without return types