code: def test_pipe_methods_initialize():
      """Test that the [initialize] config reflects the components correctly."""
      nlp = Language()
      nlp.add_pipe("tagger")
      assert "tagger" not in nlp.config["initialize"]["components"]
      nlp.config["initialize"]["components"]["tagger"] = {
          "labels": ["hello"]
      }
      assert nlp.config["initialize"]["components"]["tagger"] == {
          "labels": ["hello"]
      }
      nlp.remove_pipe("tagger")
      assert "tagger" not in nlp.config["initialize"]["components"]
      nlp.add_pipe("tagger")
      assert "tagger" not in nlp.config["initialize"]["components"]
      nlp.config["initialize"]["components"]["tagger"] = {
          "labels": ["hello"]
      }
      nlp.rename_pipe("tagger", "my_tagger")
      assert "tagger" not in nlp.config["initialize"]["components"]
      assert nlp.config["initialize"]["components"]["my_tagger"] == {
          "labels": ["hello"]
      }
      nlp.config["initialize"]["components"]["test"] = {"foo": "bar"}
      nlp.add_pipe("ner", name="test")
      assert "test" in nlp.config["initialize"]["components"]
      nlp.remove_pipe("test")
      assert "test" not in nlp.config["initialize"]["components"]
  
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 37 for calling a global function with example usage: test_pipe_methods_initialize() without return types