code: def test_most_frequent_terms_negative_count():
      tokenizer = Tokenizer("english")
      model = TfDocumentModel("text", tokenizer)
  
      with pytest.raises(ValueError):
          model.most_frequent_terms(-1)
  
file_path: sumy/tests/test_models/test_tf.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import pytest
  from sumy.models import TfDocumentModel
  from sumy.nlp.tokenizers import Tokenizer
label_desc: Use image node_id 9 for calling a global function with example usage: test_most_frequent_terms_negative_count() without return types