code: def test_sparse_and_LinearOperator(self):
      m = 5000
      n = 1000
      A = rand(m, n, random_state=0)
      b = self.rnd.randn(m)
      res = lsq_linear(A, b)
      assert_allclose(res.optimality, 0, atol=1e-6)
  
      A = aslinearoperator(A)
      res = lsq_linear(A, b)
      assert_allclose(res.optimality, 0, atol=1e-6)
  
imports: import pytest
  import numpy
  from numpy.linalg import lstsq
  from numpy.testing import assert_allclose, assert_equal, assert_
  from scipy.sparse import rand, coo_matrix
  from scipy.sparse.linalg import aslinearoperator
  from scipy.optimize import lsq_linear
  from scipy.optimize._minimize import Bounds
label_desc: Use image node_id 1 for calling the SparseMixin obj's underlying member method code with example usage: obj.test_sparse_and_LinearOperator() without return types