code: def test_concat_misordered_columns():
      df, df2, gdf, gdf2 = make_frames(False)
      gdf2 = gdf2[["z", "x", "y"]]
      df2 = df2[["z", "x", "y"]]
  
      res = gd.concat([gdf, gdf2]).to_pandas()
      sol = pd.concat([df, df2], sort=False)
  
      assert_eq(
          res,
          sol,
          check_names=False,
          check_categorical=False,
          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 5 for calling a global function with example usage: test_concat_misordered_columns() without return types