code: def test_empty_doc_after_limit_features():
      data = ["abc abc def", "def abc", "ghi"]
      data_gpu = Series(data)
      count = CountVectorizer(min_df=2).fit_transform(data_gpu)
      ref = SkCountVect(min_df=2).fit_transform(data)
      cp.testing.assert_array_equal(count.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 14 for calling a global function with example usage: test_empty_doc_after_limit_features() without return types