code: def metric_matrix_test_data(self):
      smoke_data = [
          dict(base_point=gs.array([0.1, 0.8])),
          dict(base_point=gs.array([[0.1, 0.8], [1.0, 2.0]])),
      ]
  
      return self.generate_tests(smoke_data)
  
file_path: geomstats/tests/tests_geomstats/test_information_geometry/data/fisher_rao_metric.py
imports: import geomstats.backend
  from geomstats.test.data import TestData
label_desc: Use image node_id 1 for calling the FisherRaoMetricCmpUnivariateNormalTestData obj's underlying member method code with example usage: obj.metric_matrix_test_data() and returns: self