code: def test_doc_retokenizer_split_norm(en_vocab):
      """#6060: reset norm in split"""
      text = "The quick brownfoxjumpsoverthe lazy dog w/ white spots"
      doc = Doc(en_vocab, words=text.split())
  
      # Set custom norm on the w/ token.
      doc[5].norm_ = "with"
  
      # Retokenize to split out the words in the token at doc[2].
      token = doc[2]
      with doc.retokenize() as retokenizer:
          retokenizer.split(
              token,
              ["brown", "fox", "jumps", "over", "the"],
              heads=[(token, idx) for idx in range(5)],
          )
  
      assert doc[9].text == "w/"
      assert doc[9].norm_ == "with"
      assert doc[5].text == "over"
      assert doc[5].norm_ == "over"
  
file_path: spacy/spacy/tests/doc/test_retokenize_split.py
imports: import numpy
  import pytest
  from spacy.tokens import Doc, Token
  from spacy.vocab import Vocab
label_desc: Use image node_id 13 for calling a global function with example usage: test_doc_retokenizer_split_norm(en_vocab) without return types