code: def H2OFrame_skipped_columns_is_BUGGY():
      try:
          h2o.H2OFrame(data, skipped_columns=[1])
          assert (
              False
          ), "skipped_columns handling may be fixed now"  # parse_setup is absolutely weird, with only half parameters passed to build the ParseSetup, and then a bunch of logic done locally, that's why it's buggy: see issue https://github.com/h2oai/h2o-3/issues/15947
      except ValueError as e:
          assert (
              "length of col_names should be equal to the number of columns parsed: 4 vs 3"
              in str(e)
          )
  
file_path: h2o-3/h2o-py/tests/testdir_apis/Data_Manipulation/pyunit_h2oH2OFrame.py
imports: import sys
  from tests import pyunit_utils
  import h2o
  from h2o.utils.typechecks import assert_is_type
  from h2o.frame import H2OFrame
label_desc: Use image node_id 9 for calling a global function with example usage: H2OFrame_skipped_columns_is_BUGGY() without return types