code: def test_pipe_base_class_add_label(nlp, component):
      label = "TEST"
      pipe = nlp.create_pipe(component)
      pipe.add_label(label)
      if component == "tagger":
          # Tagger always has the default coarse-grained label scheme
          assert label in pipe.labels
      else:
          assert pipe.labels == (label,)
  
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 29 for calling a global function with example usage: test_pipe_base_class_add_label(nlp, component) without return types