code: def test_tangent_standard_to_natural_vec(self, n_reps, atol):
      base_point = self.data_generator.random_point_standard()
      vec = self.data_generator.random_tangent_vec_standard(base_point)
  
      expected = self.space.tangent_standard_to_natural(vec, base_point)
  
      vec_data = generate_vectorization_data(
          data=[
              dict(
                  vec=vec,
                  base_point=base_point,
                  expected=expected,
                  atol=atol,
              )
          ],
          arg_names=["vec", "base_point"],
          expected_name="expected",
          vectorization_type="sym"
          if self.tangent_to_multiple
          else "repeat-0",
          n_reps=n_reps,
      )
      self._test_vectorization(vec_data)
  
imports: import pytest
  import geomstats.backend
  from geomstats.test.vectorization import generate_vectorization_data
  from geomstats.test_cases.geometry.base import VectorSpaceOpenSetTestCase
  from geomstats.test_cases.geometry.riemannian_metric import RiemannianMetricTestCase
  from geomstats.test_cases.information_geometry.base import InformationManifoldMixinTestCase
label_desc: Use image node_id 8 for calling the GammaDistributionsTestCase obj's underlying member method code with example usage: obj.test_tangent_standard_to_natural_vec(n_reps, atol) without return types