code: def test_norm_is_positive(self, n_points, atol):
      base_point = self.data_generator.random_point(n_points)
      vector = self.data_generator.random_tangent_vec(base_point)
  
      norm_ = self.space.metric.norm(vector, base_point)
  
      res = gs.all(norm_ > -atol)
      self.assertTrue(res)
  
imports: import math
  import pytest
  import geomstats.backend
  from geomstats.geometry.spd_matrices import SPDMatrices
  from geomstats.test_cases.geometry.connection import ConnectionComparisonTestCase, ConnectionTestCase
  from geomstats.vectorization import get_batch_shape
label_desc: Use image node_id 11 for calling the RiemannianMetricTestCase obj's underlying member method code with example usage: obj.test_norm_is_positive(n_points, atol) without return types