code: def test_tangent_spherical_to_extrinsic_vec(self, n_reps, atol):
      base_point_spherical = (
          self.intrinsic_data_generator.random_point()
      )
      tangent_vec_spherical = (
          self.intrinsic_data_generator.random_tangent_vec(
              base_point_spherical
          )
      )
  
      try:
          expected = self.space.tangent_spherical_to_extrinsic(
              tangent_vec_spherical, base_point_spherical
          )
      except NotImplementedError:
          return
  
      vec_data = generate_vectorization_data(
          data=[
              dict(
                  tangent_vec_spherical=tangent_vec_spherical,
                  base_point_spherical=base_point_spherical,
                  expected=expected,
                  atol=atol,
              )
          ],
          arg_names=["tangent_vec_spherical", "base_point_spherical"],
          expected_name="expected",
          n_reps=n_reps,
      )
      self._test_vectorization(vec_data)
  
imports: import random
  import pytest
  import scipy
  import geomstats.backend
  from geomstats.learning.frechet_mean import FrechetMean
  from geomstats.test.random import EmbeddedSpaceRandomDataGenerator, HypersphereIntrinsicRandomDataGenerator
  from geomstats.test.test_case import TestCase
  from geomstats.test.vectorization import generate_vectorization_data
  from geomstats.test_cases.geometry.base import LevelSetTestCase
  from geomstats.test_cases.geometry.manifold import ManifoldTestCase
  from geomstats.vectorization import get_batch_shape
label_desc: Use image node_id 12 for calling the HypersphereCoordsTransformTestCase obj's underlying member method code with example usage: obj.test_tangent_spherical_to_extrinsic_vec(n_reps, atol) without return types