code: def test_concat_join_no_overlapping_columns(
      pdf1, pdf2, ignore_index, sort, join, axis
  ):
      gdf1 = gd.from_pandas(pdf1)
      gdf2 = gd.from_pandas(pdf2)
  
      expected = pd.concat(
          [pdf1, pdf2],
          sort=sort,
          join=join,
          ignore_index=ignore_index,
          axis=axis,
      )
      actual = gd.concat(
          [gdf1, gdf2],
          sort=sort,
          join=join,
          ignore_index=ignore_index,
          axis=axis,
      )
  
      if PANDAS_GE_150:
          assert_eq(expected, actual, check_index_type=True)
      else:
          # special handling of check_index_type below
          # required because:
          # https://github.com/pandas-dev/pandas/issues/47501
          assert_eq(
              expected,
              actual,
              check_index_type=not (axis == 1 and sort),
          )
  
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 29 for calling a global function with example usage: test_concat_join_no_overlapping_columns(pdf1, pdf2, ignore_index, sort, join, axis) without return types