code: def test_tr_noun_chunks_np_recursive_nsubj_attached_to_pron_root(
      tr_tokenizer,
  ):
      text = "Simge'nin konuşabileceği birisi"
      heads = [1, 2, 2]
      deps = ["nsubj", "acl", "ROOT"]
      pos = ["PROPN", "VERB", "PRON"]
      tokens = tr_tokenizer(text)
      doc = Doc(
          tokens.vocab,
          words=[t.text for t in tokens],
          pos=pos,
          heads=heads,
          deps=deps,
      )
      chunks = list(doc.noun_chunks)
      assert len(chunks) == 1
      assert (
          chunks[0].text_with_ws == "Simge'nin konuşabileceği birisi "
      )
  
imports: from spacy.tokens import Doc
label_desc: Use image node_id 19 for calling a global function with example usage: test_tr_noun_chunks_np_recursive_nsubj_attached_to_pron_root(tr_tokenizer) without return types