code: def test_column_set_unequal_length_object_by_mask():
      data = [1, 2, 3, 4, 5]
      replace_data_1 = [8, 9]
      replace_data_2 = [8, 9, 10, 11]
      mask = [True, True, False, True, False]
  
      psr = pd.Series(data)
      gsr = cudf.Series(data)
      assert_exceptions_equal(
          psr.__setitem__,
          gsr.__setitem__,
          ([mask, replace_data_1], {}),
          ([mask, replace_data_1], {}),
      )
  
      psr = pd.Series(data)
      gsr = cudf.Series(data)
      assert_exceptions_equal(
          psr.__setitem__,
          gsr.__setitem__,
          ([mask, replace_data_2], {}),
          ([mask, replace_data_2], {}),
      )
  
imports: import numpy
  import pandas
  import pytest
  import cudf
  from cudf.core._compat import PANDAS_GE_150
  from cudf.testing._utils import assert_eq, assert_exceptions_equal
label_desc: Use image node_id 11 for calling a global function with example usage: test_column_set_unequal_length_object_by_mask() without return types