docstr: Check random point is tangent.
  
  Parameters
  ----------
  n_points : int
      Number of random points to generate.
  atol : float
      Absolute tolerance.
docstr_tok: ["Check","random","point","is","tangent",".","Parameters","--","--","--","--","--","n_points",":","int","Number","of","random","points","to","generate",".","atol",":","float","Absolute","tolerance","."]
code: def test_random_point_is_tangent(self, n_points, atol):
      """Check random point is tangent.
  
      Parameters
      ----------
      n_points : int
          Number of random points to generate.
      atol : float
          Absolute tolerance.
      """
      points = self.data_generator.random_point(n_points)
  
      res = self.space.is_tangent(points, atol=atol)
      self.assertAllEqual(res, gs.ones(n_points, dtype=bool))
  
imports: import pytest
  import geomstats.backend
  from geomstats.test.random import EmbeddedSpaceRandomDataGenerator, MatrixVectorSpaceRandomDataGenerator, VectorSpaceRandomDataGenerator
  from geomstats.test.vectorization import generate_vectorization_data
  from geomstats.test_cases.geometry.complex_manifold import ComplexManifoldTestCase
  from geomstats.test_cases.geometry.manifold import ManifoldTestCase
  from geomstats.test_cases.geometry.mixins import ProjectionTestCaseMixins
  from geomstats.vectorization import get_batch_shape
label_desc: Use image node_id 2 for calling the _VectorSpaceTestCaseMixins obj's underlying member method code with example usage: obj.test_random_point_is_tangent(n_points, atol) without return types