code: def natural_to_standard_test_data(self):
      data = [
          dict(
              point=gs.array([1.0, 1.0]), expected=gs.array([1.0, 1.0])
          ),
          dict(
              point=gs.array([1.0, 2.0]), expected=gs.array([1.0, 0.5])
          ),
      ]
      return self.generate_tests(data)
  
imports: import geomstats.backend
  from geomstats.test.data import TestData
  from ...test_geometry.data.base import VectorSpaceOpenSetTestData
  from ...test_geometry.data.riemannian_metric import RiemannianMetricTestData
  from .base import InformationManifoldMixinTestData
label_desc: Use image node_id 2 for calling the GammaDistributionsSmokeTestData obj's underlying member method code with example usage: obj.natural_to_standard_test_data() and returns: self