code: def test_matrix_from_vector_belongs_to_matrices(self, n_points):
      point = self.data_generator.random_point(n_points)
      mat = self.space.matrix_from_vector(point)
  
      space = SpecialEuclidean(self.space.n, point_type="matrix")
      belongs = space.belongs(mat)
  
      expected = gs.ones(n_points, dtype=bool)
      self.assertAllEqual(expected, belongs)
  
imports: import pytest
  import geomstats.backend
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.general_linear import SquareMatrices
  from geomstats.geometry.special_euclidean import SpecialEuclidean, homogeneous_representation
  from geomstats.test.random import LieGroupVectorRandomDataGenerator
  from geomstats.test.test_case import assert_allclose
  from geomstats.test.vectorization import generate_vectorization_data
  from geomstats.test_cases.geometry.lie_group import LieGroupTestCase
  from geomstats.test_cases.geometry.mixins import ProjectionTestCaseMixins
label_desc: Use image node_id 4 for calling the SpecialEuclideanVectorsTestCase obj's underlying member method code with example usage: obj.test_matrix_from_vector_belongs_to_matrices(n_points) without return types