code: def testPadding(self):
      for padding_value, align in zip_to_first_list_length(
          [555, -11], alignment_list
      ):
          for _, tests in all_tests(align):
              for diag_index, (vecs, solution) in tests.items():
                  mask = solution == 0
                  solution = solution + (mask * padding_value)
                  self._assertOpOutputMatchesExpected(
                      {
                          "diagonal": vecs,
                          "k": diag_index,
                          "num_rows": solution.shape[-2],
                          "num_cols": solution.shape[-1],
                          "padding_value": padding_value,
                          "align": align,
                      },
                      solution,
                  )
  
imports: import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_array_ops
  from tensorflow.python.platform import googletest
label_desc: Use image node_id 8 for calling the MatrixDiagTest obj's underlying member method code with example usage: obj.testPadding() without return types