code: def test_matrix_representation_vec(self, n_reps, atol):
      basis_representation = gs.random.rand(self.space.dim)
      expected = self.space.matrix_representation(basis_representation)
  
      vec_data = generate_vectorization_data(
          data=[
              dict(
                  basis_representation=basis_representation,
                  expected=expected,
                  atol=atol,
              )
          ],
          arg_names=["basis_representation"],
          expected_name="expected",
          n_reps=n_reps,
      )
      self._test_vectorization(vec_data)
  
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 6 for calling the MatrixVectorSpaceTestCase obj's underlying member method code with example usage: obj.test_matrix_representation_vec(n_reps, atol) without return types