code: def test_sngle_len():
      single_token_ser = [
          "S I N G L E T 0 K E N Example",
          "1 2 3 4 5 eg",
      ]
      single_token_gpu = Series(single_token_ser)
  
      cv = CountVectorizer()
      res = cv.fit_transform(single_token_gpu)
      ref = SkCountVect().fit_transform(single_token_ser)
  
      cp.testing.assert_array_equal(res.todense(), ref.toarray())
  
imports: from cuml.internals.safe_imports import cpu_only_import
  from cuml.internals.safe_imports import cpu_only_import_from
  from cuml.internals.safe_imports import gpu_only_import_from
  from sklearn.feature_extraction.text import TfidfVectorizer
  from sklearn.feature_extraction.text import HashingVectorizer
  from sklearn.feature_extraction.text import CountVectorizer
  import pytest
  from cuml.feature_extraction.text import CountVectorizer
  from cuml.feature_extraction.text import TfidfVectorizer
  from cuml.feature_extraction.text import HashingVectorizer
  from cuml.internals.safe_imports import gpu_only_import
label_desc: Use image node_id 17 for calling a global function with example usage: test_sngle_len() without return types