code: def test_lemmatizer_initialize(lang, capfd):
      @registry.misc("lemmatizer_init_lookups")
      def lemmatizer_init_lookups():
          lookups = Lookups()
          lookups.add_table("lemma_lookup", {"cope": "cope", "x": "y"})
          lookups.add_table("lemma_index", {"verb": ("cope", "cop")})
          lookups.add_table(
              "lemma_exc", {"verb": {"coping": ("cope",)}}
          )
          lookups.add_table("lemma_rules", {"verb": [["ing", ""]]})
          return lookups
  
      lang_cls = get_lang_class(lang)
      # Test that languages can be initialized
      nlp = lang_cls()
      lemmatizer = nlp.add_pipe("lemmatizer", config={"mode": "lookup"})
      assert not lemmatizer.lookups.tables
      nlp.config["initialize"]["components"]["lemmatizer"] = {
          "lookups": {"@misc": "lemmatizer_init_lookups"}
      }
      with pytest.raises(ValueError):
          nlp("x")
      nlp.initialize()
      assert lemmatizer.lookups.tables
      doc = nlp("x")
      # Check for stray print statements (see #3342)
      captured = capfd.readouterr()
      assert not captured.out
      assert doc[0].lemma_ == "y"
  
      # Test initialization by calling .initialize() directly
      nlp = lang_cls()
      lemmatizer = nlp.add_pipe("lemmatizer", config={"mode": "lookup"})
      lemmatizer.initialize(lookups=lemmatizer_init_lookups())
      assert nlp("x")[0].lemma_ == "y"
  
      # Test lookups config format
      for mode in ("rule", "lookup", "pos_lookup"):
          required, optional = lemmatizer.get_lookups_config(mode)
          assert isinstance(required, list)
          assert isinstance(optional, list)
  
imports: import pytest
  from spacy import registry
  from spacy.lookups import Lookups
  from spacy.util import get_lang_class
label_desc: Use image node_id 1 for calling a global function with example usage: test_lemmatizer_initialize(lang, capfd) and returns: lookups