code: def test_concat_duplicate_columns():
      cdf = gd.DataFrame(
          {
              "id4": 4 * list(range(6)),
              "id5": 4 * list(reversed(range(6))),
              "v3": 6 * list(range(4)),
          }
      )
      cdf_std = cdf.groupby(["id4", "id5"])[["v3"]].std()
      cdf_med = cdf.groupby(["id4", "id5"])[["v3"]].quantile(q=0.5)
      with pytest.raises(NotImplementedError):
          gd.concat([cdf_med, cdf_std], axis=1)
  
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 16 for calling a global function with example usage: test_concat_duplicate_columns() without return types