code: def test_exponential_smoothing(rolling_data):
      import dtale.views as views
  
      df, _ = views.format_data(rolling_data)
      data_id, column_type = "1", "exponential_smoothing"
      build_data_inst({data_id: df})
  
      cfg = {"col": "0", "alpha": 0.3}
      builder = ColumnBuilder(data_id, column_type, "0_exp_smooth", cfg)
      verify_builder(builder, lambda col: col.isnull().sum() == 0)
  
imports: import numpy
  import pandas
  import pytest
  import sklearn
  from numpy.random import randn
  from pkg_resources import parse_version
  from six import PY3
  import dtale.pandas_util
  from dtale.column_builders import ColumnBuilder, ZERO_STD_ERROR
  from tests.dtale import build_data_inst
label_desc: Use image node_id 17 for calling a global function with example usage: test_exponential_smoothing(rolling_data) without return types