code: def test_LearnerSCCS_score(self):
      lrn = ConvSCCS(
          n_lags=self.n_lags,
          penalized_features=[],
          random_state=self.seed,
      )
      lrn.fit(self.features, self.labels, self.censoring)
      self.assertEqual(
          lrn.score(),
          lrn.score(self.features, self.labels, self.censoring),
      )
  
file_path: tick/tick/survival/tests/convolutional_sccs_test.py
imports: import unittest
  import numpy
  from tick.survival import SimuSCCS, ConvSCCS
  from scipy.sparse import csr_matrix
  from tick.survival.sccs import *
label_desc: Use image node_id 6 for calling the Test obj's underlying member method code with example usage: obj.test_LearnerSCCS_score() without return types