code: def tangent_natural_to_standard_test_data(self):
      data = [
          dict(
              vec=gs.array([2.0, 1.0]),
              base_point=gs.array([1.0, 2.0]),
              expected=gs.array([2.0, 0.75]),
          ),
          dict(
              vec=gs.array([1.0, 1.0]),
              base_point=gs.array([1.0, 1.0]),
              expected=gs.array([1.0, 0]),
          ),
      ]
      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 4 for calling the GammaDistributionsSmokeTestData obj's underlying member method code with example usage: obj.tangent_natural_to_standard_test_data() and returns: self