code: def test_pandas_concat_compatibility_axis1_overlap(
      index, names, data
  ):
      s1 = gd.Series(data[0], index=[0, 1, 2])
      s2 = gd.Series(data[1], index=index)
      if names:
          s1.name = names[0]
          s2.name = names[1]
      ps1 = s1.to_pandas()
      ps2 = s2.to_pandas()
      got = gd.concat([s1, s2], axis=1)
      expect = pd.concat([ps1, ps2], axis=1)
      assert_eq(got, expect, 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 13 for calling a global function with example usage: test_pandas_concat_compatibility_axis1_overlap(index, names, data) without return types