code: def test_transform(doc_term_matrix, model):
      expected = (doc_term_matrix.shape[0], model.n_topics)
      observed = model.transform(doc_term_matrix).shape
      assert observed == expected
  
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 9 for calling a global function with example usage: test_transform(doc_term_matrix, model) without return types