code: def test_objectmapper_oversampling(self):
      import imblearn.over_sampling as os
  
      df = pdml.ModelFrame([])
      self.assertIs(df.imbalance.over_sampling.ADASYN, os.ADASYN)
      self.assertIs(
          df.imbalance.over_sampling.RandomOverSampler,
          os.RandomOverSampler,
      )
      self.assertIs(df.imbalance.over_sampling.SMOTE, os.SMOTE)
  
file_path: pandas-ml/pandas_ml/imbaccessors/test/test_imbalance.py
imports: import pytest
  import numpy
  import pandas_ml
  import pandas_ml.util.testing
label_desc: Use image node_id 2 for calling the TestImbalance obj's underlying member method code with example usage: obj.test_objectmapper_oversampling() without return types