code: def test_initialized_inline_transformer_pipeline_todisk():
      orig_config = Config().from_str(inline_cfg_string)
      nlp = util.load_model_from_config(
          orig_config, auto_fill=True, validate=True
      )
      assert nlp.pipe_names == ["tagger"]
      tagger = nlp.get_pipe("tagger")
      tagger.add_label("V")
      nlp.initialize()
      with make_tempdir() as d:
          nlp.to_disk(d)
          nlp2 = spacy.load(d)
          assert nlp2.pipe_names == ["tagger"]
          tagger2 = nlp2.get_pipe("tagger")
          assert list(tagger2.labels) == ["V"]
  
imports: import pytest
  import copy
  import spacy
  from spacy import Language
  from spacy.lang.en import English
  from spacy.tests.util import assert_docs_equal
  from spacy.tokens import Doc
  from spacy.util import make_tempdir
  from spacy import util
  import srsly
  from thinc.api import Config, get_current_ops
  from numpy.testing import assert_array_equal
  from ..None import TransformerData
label_desc: Use image node_id 15 for calling a global function with example usage: test_initialized_inline_transformer_pipeline_todisk() without return types