code: def test_df_stack_multiindex_column_axis(
      columns, index, level, dropna
  ):
      if isinstance(level, list) and len(level) > 1 and not dropna:
          pytest.skip(
              "Stacking multiple levels with dropna==False is unsupported."
          )
  
      pdf = pd.DataFrame(
          data=[[1, 2, 3, 4], [2, 4, 6, 8]],
          columns=columns,
          index=index,
      )
      gdf = cudf.from_pandas(pdf)
  
      got = gdf.stack(level=level, dropna=dropna)
      expect = pdf.stack(level=level, dropna=dropna)
  
      assert_eq(expect, got, check_dtype=False)
  
imports: import re
  from itertools import chain
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf import melt
  from cudf.core.buffer.spill_manager import get_global_manager
  from cudf.testing._utils import ALL_TYPES, DATETIME_TYPES, NUMERIC_TYPES, assert_eq
label_desc: Use image node_id 5 for calling a global function with example usage: test_df_stack_multiindex_column_axis(columns, index, level, dropna) without return types