code: def test_dense_pre_convolution(self):
      feat_prod, _, _ = LongitudinalFeaturesLagger(
          n_lags=self.n_lags
      ).fit_transform(self.features, censoring=self.censoring)
      np.testing.assert_equal(feat_prod, self.expected_output)
  
file_path: tick/tick/preprocessing/tests/longitudinal_features_lagger_test.py
imports: import numpy
  from scipy.sparse import csr_matrix
  import unittest
  from tick.preprocessing import LongitudinalFeaturesLagger
label_desc: Use image node_id 2 for calling the Test obj's underlying member method code with example usage: obj.test_dense_pre_convolution() without return types