code: def test_issue1967(label):
      nlp = Language()
      config = {}
      ner = nlp.create_pipe("ner", config=config)
      example = Example.from_dict(
          Doc(ner.vocab, words=["word"]),
          {
              "ids": [0],
              "words": ["word"],
              "tags": ["tag"],
              "heads": [0],
              "deps": ["dep"],
              "entities": [label],
          },
      )
      assert "JOB-NAME" in ner.moves.get_actions(examples=[example])[1]
  
imports: import logging
  import random
  import pytest
  from numpy.testing import assert_equal
  from spacy import registry, util
  from spacy.attrs import ENT_IOB
  from spacy.lang.en import English
  from spacy.lang.it import Italian
  from spacy.language import Language
  from spacy.lookups import Lookups
  from spacy.pipeline import EntityRecognizer
  from spacy.pipeline._parser_internals.ner import BiluoPushDown
  from spacy.pipeline.ner import DEFAULT_NER_MODEL
  from spacy.tokens import Doc, Span
  from spacy.training import Example, iob_to_biluo, split_bilu_label
  from spacy.vocab import Vocab
  from ..util import make_tempdir
label_desc: Use image node_id 7 for calling a global function with example usage: test_issue1967(label) without return types