code: def test_entity_filters(self):
      doc = nlp(
          """
              Their revenue has been a billion dollars, as of six months ago.
              The next quarter is not so promising."""
      )
      numerized = doc._.numerize(labels=["MONEY"])
      assert len(numerized) == 1
      key, val = numerized.popitem()
      assert key.text == "a billion dollars"
      assert val == "1000000000 dollars"
  
imports: from unittest import TestCase, skipUnless
  from numerizer import numerizer
  from spacy import load
  from spacy.tokens import Token
label_desc: Use image node_id 2 for calling the TestSpacyExtensions obj's underlying member method code with example usage: obj.test_entity_filters() without return types