code: def test_vectorizer_fixed_vocab(self, tokenized_docs):
      vocabulary_terms = ["lamb", "snow", "school", "rule", "teacher"]
      vectorizer = representations.Vectorizer(
          vocabulary_terms=vocabulary_terms
      )
      doc_term_matrix = vectorizer.fit_transform(tokenized_docs)
      assert len(vectorizer.vocabulary_terms) == len(vocabulary_terms)
      assert doc_term_matrix.shape[1] == len(vocabulary_terms)
      assert sorted(vectorizer.terms_list) == sorted(vocabulary_terms)
  
imports: import pytest
  import numpy
  from scipy.sparse import coo_matrix
  from textacy import extract, representations
label_desc: Use image node_id 5 for calling the TestVectorizer obj's underlying member method code with example usage: obj.test_vectorizer_fixed_vocab(tokenized_docs) without return types