docstr: Check to_tangent is same as projection.
  
  Parameters
  ----------
  n_points : int
      Number of random points to generate.
  atol : float
      Absolute tolerance.
docstr_tok: ["Check","to_tangent","is","same","as","projection",".","Parameters","--","--","--","--","--","n_points",":","int","Number","of","random","points","to","generate",".","atol",":","float","Absolute","tolerance","."]
code: def test_to_tangent_is_projection(self, n_points, atol):
      """Check to_tangent is same as projection.
  
      Parameters
      ----------
      n_points : int
          Number of random points to generate.
      atol : float
          Absolute tolerance.
      """
      vec = self.data_generator.random_point(n_points)
      result = self.space.to_tangent(vec)
      expected = self.space.projection(vec)
  
      self.assertAllClose(result, expected, atol=atol)
  
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 3 for calling the _VectorSpaceTestCaseMixins obj's underlying member method code with example usage: obj.test_to_tangent_is_projection(n_points, atol) without return types