code: def test_fi_noun_chunks(
      fi_tokenizer, text, pos, deps, heads, expected_noun_chunks
  ):
      tokens = fi_tokenizer(text)
  
      assert len(heads) == len(pos)
      doc = Doc(
          tokens.vocab,
          words=[t.text for t in tokens],
          heads=[head + i for i, head in enumerate(heads)],
          deps=deps,
          pos=pos,
      )
  
      noun_chunks = list(doc.noun_chunks)
      assert len(noun_chunks) == len(expected_noun_chunks)
      for i, np in enumerate(noun_chunks):
          assert np.text == expected_noun_chunks[i]
  
label_desc: Use image node_id 2 for calling a global function with example usage: test_fi_noun_chunks(fi_tokenizer, text, pos, deps, heads, expected_noun_chunks) without return types