code: def test_concat_elements(row, dropna):
      if any(x is None for x in row):
          if dropna:
              row = [x for x in row if x is not None]
              result = functools.reduce(operator.add, row)
          else:
              result = None
      else:
          result = functools.reduce(operator.add, row)
  
      expect = pd.Series([result])
      got = cudf.Series([row]).list.concat(dropna=dropna)
      assert_eq(expect, got)
  
imports: import functools
  import operator
  import numpy
  import pandas
  import pyarrow
  import pytest
  import cudf
  from cudf import NA
  from cudf._lib.copying import get_element
  from cudf.api.types import is_scalar
  from cudf.testing._utils import DATETIME_TYPES, NUMERIC_TYPES, TIMEDELTA_TYPES, assert_eq
label_desc: Use image node_id 27 for calling a global function with example usage: test_concat_elements(row, dropna) without return types