code: def test_space_tokenization_tokenization_normalization(
      hf_tokenizer, hf_model
  ):
      text = "Jeff Immelt chose to focus on the incomprehensibility of accounting rules ."
      space_tokenized = text.split(" ")
      tokenizer = hf_tokenizer.from_pretrained(hf_model)
      target_tokenized = tokenizer.tokenize(text)
      (
          normed_space_tokenized,
          normed_target_tokenized,
      ) = tn.normalize_tokenizations(
          space_tokenized, target_tokenized, tokenizer
      )
      assert "".join(normed_space_tokenized) == "".join(
          normed_target_tokenized
      )
  
file_path: jiant/tests/utils/test_tokenization_normalization.py
imports: import pytest
  import jiant.utils.tokenization_normalization
  import jiant.utils.tokenization_utils
  from transformers import AlbertTokenizer
  from transformers import BertTokenizer
  from transformers import DebertaV2Tokenizer
  from transformers import RobertaTokenizer
  from transformers import XLMTokenizer
label_desc: Use image node_id 4 for calling a global function with example usage: test_space_tokenization_tokenization_normalization(hf_tokenizer, hf_model) without return types