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_x_flags(self):
      # Matrix with two positive eigenvalues, 1, and 1.
      # The matrix values do not effect auto-setting of the flags.
      matrix = [[1.0, 0.0], [1.0, 1.0]]
      operator = block_diag.LinearOperatorBlockDiag(
          [linalg.LinearOperatorFullMatrix(matrix)],
          is_positive_definite=True,
          is_non_singular=True,
          is_self_adjoint=False,
      )
      self.assertTrue(operator.is_positive_definite)
      self.assertTrue(operator.is_non_singular)
      self.assertFalse(operator.is_self_adjoint)
  
imports: import numpy
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.linalg import linalg
  from tensorflow.python.ops.linalg import linear_operator_block_diag
  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 7 for calling the SquareLinearOperatorBlockDiagTest obj's underlying member method code with example usage: obj.test_is_x_flags() without return types