code: def test_regular_alpha_avg():
      primitive_instance = ExponentialWeightedAverage(alpha=0.8)
      primitive_func = primitive_instance.get_function()
      array = pd.Series([1, 2, 7, 5])
      answer = pd.Series(primitive_func(array))
      correct_answer = pd.Series(
          [1.0, 1.8333333333333335, 6.0, 5.198717948717948]
      )
      pd.testing.assert_series_equal(answer, correct_answer)
  
imports: import numpy
  import pandas
  from featuretools.primitives import ExponentialWeightedAverage, ExponentialWeightedSTD, ExponentialWeightedVariance
label_desc: Use image node_id 4 for calling a global function with example usage: test_regular_alpha_avg() without return types