code: def test_tokenizer_explain(lang):
      tokenizer = get_lang_class(lang)().tokenizer
      examples = pytest.importorskip(f"spacy.lang.{lang}.examples")
      for sentence in examples.sentences:
          tokens = [
              t.text for t in tokenizer(sentence) if not t.is_space
          ]
          debug_tokens = [t[1] for t in tokenizer.explain(sentence)]
          assert tokens == debug_tokens
  
file_path: spaCy/spacy/tests/tokenizer/test_explain.py
imports: import re
  import string
  import hypothesis
  import hypothesis.strategies
  import pytest
  import spacy
  from spacy.tokenizer import Tokenizer
  from spacy.util import get_lang_class
label_desc: Use image node_id 1 for calling a global function with example usage: test_tokenizer_explain(lang) without return types