code: def test_multiple_predictions():
      class DummyPipe(TrainablePipe):
          def __init__(self):
              self.model = "dummy_model"
  
          def predict(self, docs):
              return ([1, 2, 3], [4, 5, 6])
  
          def set_annotations(self, docs, scores):
              return docs
  
      nlp = Language()
      doc = nlp.make_doc("foo")
      dummy_pipe = DummyPipe()
      dummy_pipe(doc)
  
imports: import gc
  import numpy
  import pytest
  from thinc.api import get_current_ops
  import spacy
  from spacy.lang.en import English
  from spacy.lang.en.syntax_iterators import noun_chunks
  from spacy.language import Language
  from spacy.pipeline import TrainablePipe
  from spacy.tokens import Doc
  from spacy.training import Example
  from spacy.util import SimpleFrozenList, get_arg_names, make_tempdir
  from spacy.vocab import Vocab
label_desc: Use image node_id 9 for calling a global function with example usage: test_multiple_predictions() and returns: list,  list, docs