code: def test_count_LDA():
      isinstance(
          text2mat(
              data,
              vectorizer="CountVectorizer",
              semantic="LatentDirichletAllocation",
              corpus=data,
          )[0],
          np.ndarray,
      )
  
file_path: hypertools/tests/test_text2mat.py
imports: import numpy
  from hypertools.tools import text2mat
  from sklearn.decomposition import LatentDirichletAllocation
label_desc: Use image node_id 2 for calling a global function with example usage: test_count_LDA() without return types