code: def test_get_doc_topic_matrix_nonnormalized(doc_term_matrix, model):
      expected = model.transform(doc_term_matrix)
      observed = model.get_doc_topic_matrix(
          doc_term_matrix, normalize=False
      )
      assert np.equal(observed, expected).all()
  
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 11 for calling a global function with example usage: test_get_doc_topic_matrix_nonnormalized(doc_term_matrix, model) without return types