code: def test_randn_inv(self):
      np.random.seed(1234)
      n = 20
      nsamples = 100
      for i in range(nsamples):
          # Choose integer t uniformly between 1 and 3 inclusive.
          t = np.random.randint(1, 4)
  
          # Choose n uniformly between 10 and 40 inclusive.
          n = np.random.randint(10, 41)
  
          # Sample the inverse of a matrix with random normal entries.
          A = scipy.linalg.inv(np.random.randn(n, n))
  
          # Compute the 1-norm bounds.
          g, ind = _algorithm_2_2(A, A.T, t)
  
imports: import numpy
  from numpy.testing import assert_allclose, assert_equal, assert_
  import pytest
  import scipy.linalg
  import scipy.sparse.linalg
  from scipy.sparse.linalg._onenormest import _onenormest_core, _algorithm_2_2
label_desc: Use image node_id 1 for calling the TestAlgorithm_2_2 obj's underlying member method code with example usage: obj.test_randn_inv() without return types