code: def test_parquet_column_types_skipped_columns():
      parquet = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/parquet/df.parquet"
          )
      )
      parquetForce = h2o.import_file(
          path=pyunit_utils.locate(
              "smalldata/parser/parquet/df.parquet"
          ),
          force_col_types=True,
          skipped_columns=[0],
      )
      assert (
          parquetForce.types["uniform_col"] == "real"
      ), "Expected type: {0}, actual: " "{1}".format(
          "real", parquetForce.types["uniform_col"]
      )
      assert (
          parquet.ncol - 1 == parquetForce.ncol
      ), "Expected column number: {0}, actual: " "{1}".format(
          parquet.ncol - 1, parquetForce.ncol
      )
      pyunit_utils.compare_frames_local(
          parquet[1], parquetForce[0], prob=0.1, tol=1e-12
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_parquet_column_types_skipped_columns() without return types