class_docstr: Most tests done in the base class LinearOperatorDerivedClassTest.
class_docstr_tok: ["Most","tests","done","in","the","base","class","LinearOperatorDerivedClassTest","."]
code: def test_is_non_singular_auto_set(self):
      # Matrix with two positive eigenvalues, 11 and 8.
      # The matrix values do not effect auto-setting of the flags.
      matrix = [[11.0, 0.0], [1.0, 8.0]]
      operator_1 = linalg.LinearOperatorFullMatrix(
          matrix, is_non_singular=True
      )
      operator_2 = linalg.LinearOperatorFullMatrix(
          matrix, is_non_singular=True
      )
  
      operator = kronecker.LinearOperatorKronecker(
          [operator_1, operator_2],
          is_positive_definite=False,  # No reason it HAS to be False...
          is_non_singular=None,
      )
      self.assertFalse(operator.is_positive_definite)
      self.assertTrue(operator.is_non_singular)
  
      with self.assertRaisesRegex(ValueError, "always non-singular"):
          kronecker.LinearOperatorKronecker(
              [operator_1, operator_2], is_non_singular=False
          )
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_kronecker
  from tensorflow.python.ops.linalg import linear_operator_lower_triangular
  from tensorflow.python.ops.linalg import linear_operator_test_util
  from tensorflow.python.ops.linalg import linear_operator_util
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the SquareLinearOperatorKroneckerTest obj's underlying member method code with example usage: obj.test_is_non_singular_auto_set() without return types