code: def test_is_x_properties(self):
      operator = LinearOperatorShape(
          shape=(2, 2),
          is_non_singular=False,
          is_self_adjoint=True,
          is_positive_definite=False,
      )
      self.assertFalse(operator.is_non_singular)
      self.assertTrue(operator.is_self_adjoint)
      self.assertFalse(operator.is_positive_definite)
  
imports: import numpy
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import linalg_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.parallel_for import control_flow_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the LinearOperatorTest obj's underlying member method code with example usage: obj.test_is_x_properties() without return types