code: def test_inference(self, elda=None):
      if elda is None:
          elda = self.get_elda()
  
      # get the most likely token id from topic 0
      max_id = np.argmax(elda.get_topics()[0, :])
      assert elda.classic_model_representation.iterations > 0
      # topic 0 should be dominant in the inference.
      # the difference between the probabilities should be significant and larger than 0.3
      inferred = elda[[(max_id, 1)]]
      assert inferred[0][1] - 0.3 > inferred[1][1]
  
imports: import os
  import logging
  import unittest
  import numpy
  from copy import deepcopy
  import pytest
  from gensim.models import EnsembleLda, LdaMulticore, LdaModel
  from gensim.test.utils import datapath, get_tmpfile, common_corpus, common_dictionary
label_desc: Use image node_id 20 for calling the TestEnsembleLda obj's underlying member method code with example usage: obj.test_inference(elda) without return types