code: def test_svd_attributes(svd_model):
      assert (
          svd_model.model_type == "SVD"
      ), "Model type attribute is incorrect"
      assert isinstance(
          svd_model.model, sklearn.decomposition.TruncatedSVD
      ), "Model type is incorrect"
      assert (
          svd_model.num_topics == 5
      ), "Number of topics attribute is incorrect"
      with pytest.raises(AttributeError):
          assert (
              svd_model.coherence_values
          ), "Coherence values attribute incorrectly exists"
      with pytest.raises(AttributeError):
          assert (
              svd_model.min_topics
          ), "Maximum topics attribute incorrectly exist"
  
imports: import pandas
  import numpy
  import matplotlib
  import sklearn
  import pytest
  from data_describe.text.topic_modeling import topic_model
label_desc: Use image node_id 9 for calling a global function with example usage: test_svd_attributes(svd_model) without return types