code: def test_preprocessing_pipeline(record):
      preproc = textacy.preprocessing.make_pipeline(
          textacy.preprocessing.normalize.unicode,
          textacy.preprocessing.normalize.quotation_marks,
          textacy.preprocessing.normalize.whitespace,
      )
      result = preproc(record.text)
      assert result and isinstance(result, str)
  
imports: import collections
  import itertools
  import re
  import pytest
  from spacy.tokens import Span
  import textacy
  import textacy.datasets
  import textacy.extract
  import textacy.preprocessing
label_desc: Use image node_id 9 for calling a global function with example usage: test_preprocessing_pipeline(record) without return types