code: def test_vector_from_upper_triangular_matrix_vec(self, n_reps, atol):
      matrix = self.data_generator.random_upper_triangular_matrix()
      expected = self.space.vector_from_upper_triangular_matrix(matrix)
  
      vec_data = generate_vectorization_data(
          data=[dict(matrix=matrix, expected=expected, atol=atol)],
          arg_names=["matrix"],
          expected_name="expected",
          n_reps=n_reps,
      )
      self._test_vectorization(vec_data)
  
file_path: geomstats/geomstats/test_cases/geometry/heisenberg.py
imports: import pytest
  from geomstats.test.random import HeisenbergVectorsRandomDataGenerator
  from geomstats.test.vectorization import generate_vectorization_data
  from geomstats.test_cases.geometry.base import VectorSpaceTestCase
  from geomstats.test_cases.geometry.lie_group import LieGroupTestCase
label_desc: Use image node_id 4 for calling the HeisenbergVectorsTestCase obj's underlying member method code with example usage: obj.test_vector_from_upper_triangular_matrix_vec(n_reps, atol) without return types