code: def test_transform_standard(df):
      """Test the transform method in a standard approach."""
      test = DropHighPSIFeatures()
      test.fit(df)
      transformed = test.transform(df)
  
      # Check the features to drop
      assert test.features_to_drop_ == ["drift_1", "drift_2"]
  
      # Check the transformed dataframe
      pd.testing.assert_frame_equal(
          transformed, df[[col for col in df if "drift" not in col]]
      )
  
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 27 for calling a global function with example usage: test_transform_standard(df) without return types