code: def test_termite_plot(model, vectorizer, doc_term_matrix):
      model.termite_plot(
          doc_term_matrix,
          vectorizer.id_to_term,
          topics=-1,
          n_terms=25,
          sort_terms_by="seriation",
      )
  
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 16 for calling a global function with example usage: test_termite_plot(model, vectorizer, doc_term_matrix) without return types