code: def test_concat_decimal_series(ltype, rtype):
      gs1 = gd.Series(["228.3", "559.5", "281.1"]).astype(ltype)
      gs2 = gd.Series(["2.345", "5.259", "8.154"]).astype(rtype)
  
      ps1 = gs1.to_pandas()
      ps2 = gs2.to_pandas()
  
      got = gd.concat([gs1, gs2])
      expected = pd.concat([ps1, ps2])
  
      assert_eq(expected, got, 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 39 for calling a global function with example usage: test_concat_decimal_series(ltype, rtype) without return types