code: def test_init_default_parameters(initialize, attribute_dict):
      """Test the default param values are correctly assigned."""
      if initialize:
          transformer = DropHighPSIFeatures(**attribute_dict)
      else:
          transformer = DropHighPSIFeatures()
  
      for attribute, value in attribute_dict.items():
          assert getattr(transformer, attribute) == value
  
imports: from datetime import date
  import math
  import numpy
  import pandas
  import pytest
  from sklearn.datasets import make_classification
  from feature_engine.selection import DropHighPSIFeatures
label_desc: Use image node_id 6 for calling a global function with example usage: test_init_default_parameters(initialize, attribute_dict) without return types