code: def inner_product_derivative_matrix_test_data(self):
      smoke_data = [
          dict(
              base_point=gs.array([0.5]),
          ),
          dict(
              base_point=gs.array([[0.2], [0.5]]),
          ),
      ]
      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 3 for calling the FisherRaoMetricCmpExponentialTestData obj's underlying member method code with example usage: obj.inner_product_derivative_matrix_test_data() and returns: self