code: def testDeterministicOpsErrors(self):
      try:
          config.enable_op_determinism()
          random.set_global_generator(None)
          with self.assertRaisesWithPredicateMatch(
              RuntimeError,
              '"get_global_generator" cannot be called if determinism is enabled',
          ):
              random.get_global_generator()
          random.set_global_generator(random.Generator.from_seed(50))
          random.get_global_generator()
          with self.assertRaisesWithPredicateMatch(
              RuntimeError,
              '"from_non_deterministic_state" cannot be called when determinism '
              "is enabled.",
          ):
              random.Generator.from_non_deterministic_state()
      finally:
          config.disable_op_determinism()
  
imports: import os
  import re
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.eager import context
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import config
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import test_util
  from tensorflow.python.kernel_tests.random import util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_random_ops
  from tensorflow.python.ops import gen_stateful_random_ops
  from tensorflow.python.ops import logging_ops
  from tensorflow.python.ops import random_ops_util
  from tensorflow.python.ops import stateful_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 37 for calling the StatefulRandomOpsTest obj's underlying member method code with example usage: obj.testDeterministicOpsErrors() without return types