code: def test_hashingvectorizer_stop_word():
      ref = SkHashVect(stop_words="english").fit_transform(DOCS)
      res = HashingVectorizer(stop_words="english").fit_transform(
          DOCS_GPU
      )
      assert_almost_equal_hash_matrices(
          res.todense().get(), 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 29 for calling a global function with example usage: test_hashingvectorizer_stop_word() without return types