code: def normalization_factor_test_data(self):
      data = [
          dict(
              expected_norm_factor=gs.array([0.79577319, 2.3791778]),
              atol=1e-3,
          ),
      ]
      return self.generate_tests(data)
  
file_path: geomstats/tests/tests_geomstats/test_learning/data/expectation_maximization.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from ._base import BaseEstimatorTestData
label_desc: Use image node_id 2 for calling the GaussianMixtureModelTestData obj's underlying member method code with example usage: obj.normalization_factor_test_data() and returns: self