code: def test_LDA_class_instance():
      user_model = LatentDirichletAllocation(n_components=15)
      assert (
          text2mat(data, semantic=user_model, corpus=data)[0].shape[1]
          == 15
      )
  
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 10 for calling a global function with example usage: test_LDA_class_instance() without return types