code: def test_concat_multiindex_series_and_dataframe():
      gdf = gd.DataFrame(
          {
              "w": np.arange(4),
              "x": np.arange(4),
              "y": np.arange(4),
              "z": np.arange(4),
          }
      )
      gdg = gdf.groupby(["w", "x"]).min()
      pdg = gdg.to_pandas()
      pdg1 = pdg["z"]
      pdg2 = pdg[["y", "z"]]
      pdg1.name = "a"
      gdg1 = gd.from_pandas(pdg1)
      gdg2 = gd.from_pandas(pdg2)
      assert_eq(
          gd.concat([gdg1, gdg2], axis=1),
          pd.concat([pdg1, pdg2], axis=1),
          check_index_type=True,
      )
  
imports: from decimal import Decimal
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.api.types import is_categorical_dtype
  from cudf.core._compat import PANDAS_GE_150, PANDAS_LT_140
  from cudf.core.dtypes import Decimal32Dtype, Decimal64Dtype, Decimal128Dtype
  from cudf.testing._utils import assert_eq, assert_exceptions_equal
label_desc: Use image node_id 10 for calling a global function with example usage: test_concat_multiindex_series_and_dataframe() without return types