code: def test_duck_typing():
      class TrainedDummyModel:
          def __init__(self):
              self.n_topics = 5
              self.components_ = np.array([[0, 0, 0, 1], [1, 0, 0, 0]])
  
          def transform(self, text):
              return text
  
      dummy = TrainedDummyModel()
      tmodel = TopicModel(dummy)
  
      assert tmodel.n_topics == dummy.n_topics
      assert tmodel.model.transform == dummy.transform
      np.testing.assert_array_equal(
          tmodel.model.components_, dummy.components_
      )
  
imports: import numpy
  import pytest
  from sklearn.decomposition import NMF, LatentDirichletAllocation, TruncatedSVD
  from textacy import Corpus
  from textacy import extract
  from textacy.tm import TopicModel
  from textacy.representations import Vectorizer
label_desc: Use image node_id 6 for calling a global function with example usage: test_duck_typing() and returns: text