code: def test_multi_indexer_undo_transform(self):
      multi_indexer = indexers.MultiIndexer(
          [
              indexers.IdIndexer("user", "tenant", "actual_uid", True),
              indexers.IdIndexer("res", "tenant", "actual_rid", True),
          ],
      )
  
      df = self.create_sample_dataframe()
      model = multi_indexer.fit(df)
      new_df = model.transform(df)
  
      assert new_df.filter(f.col("actual_uid") <= 0).count() == 0
      assert new_df.filter(f.col("actual_rid") <= 0).count() == 0
  
      orig_df = model.undo_transform(
          new_df.select("tenant", "actual_uid", "actual_rid"),
      )
  
      assert (
          orig_df.select("tenant", "user")
          .distinct()
          .orderBy("tenant", "user")
          .collect()
          == df.select("tenant", "user")
          .distinct()
          .orderBy("tenant", "user")
          .collect()
      )
  
      assert (
          orig_df.select("tenant", "res")
          .distinct()
          .orderBy("tenant", "res")
          .collect()
          == df.select("tenant", "res")
          .distinct()
          .orderBy("tenant", "res")
          .collect()
      )
  
file_path: SynapseML/core/src/test/python/synapsemltest/cyber/feature/test_indexers.py
imports: import unittest
  from typing import Type
  from pyspark.sql import types, functions
  from synapse.ml.cyber.feature import indexers
  from synapsemltest.cyber.explain_tester import ExplainTester
  from synapsemltest.spark import *
label_desc: Use image node_id 4 for calling the TestIndexers obj's underlying member method code with example usage: obj.test_multi_indexer_undo_transform() without return types