docstr: Check exponential gives point in the manifold.
  
  Parameters
  ----------
  n_points : int
      Number of random points to generate.
  atol : float
      Absolute tolerance.
docstr_tok: ["Check","exponential","gives","point","in","the","manifold",".","Parameters","--","--","--","--","--","n_points",":","int","Number","of","random","points","to","generate",".","atol",":","float","Absolute","tolerance","."]
code: def test_exp_belongs(self, n_points, atol):
      """Check exponential gives point in the manifold.
  
      Parameters
      ----------
      n_points : int
          Number of random points to generate.
      atol : float
          Absolute tolerance.
      """
      base_point = self.data_generator.random_point(n_points)
      tangent_vec = self.data_generator.random_tangent_vec(base_point)
  
      point = self.space.metric.exp(tangent_vec, base_point)
  
      res = self.space.belongs(point, atol=atol)
      expected_shape = get_batch_shape(
          self.space.point_ndim, base_point
      )
      expected = gs.ones(expected_shape, dtype=bool)
      self.assertAllEqual(res, expected)
  
imports: import math
  import pytest
  import geomstats.backend
  from geomstats.test.random import RandomDataGenerator, get_random_times
  from geomstats.test.test_case import TestCase
  from geomstats.test.utils import IdentityPointTransformer
  from geomstats.test.vectorization import generate_vectorization_data
  from geomstats.vectorization import get_batch_shape
label_desc: Use image node_id 4 for calling the ConnectionTestCase obj's underlying member method code with example usage: obj.test_exp_belongs(n_points, atol) without return types