code: def testInvalidIndex(self):
      dataset = dataset_ops.Dataset.from_tensor_slices(
          [1, 2, 3]
      ).shuffle(buffer_size=100)
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(random_access.at(dataset, -1))
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(random_access.at(dataset, 4))
  
imports: import collections
  import functools
  import sys
  from absl.testing import parameterized
  import numpy
  from tensorflow.python import pywrap_sanitizers
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.data.experimental.ops import iterator_ops
  from tensorflow.python.data.experimental.ops import random_access
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.ops import options
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import tensor_spec
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import stateless_random_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import saver
label_desc: Use image node_id 1 for calling the ShuffleRandomAccessTest obj's underlying member method code with example usage: obj.testInvalidIndex() without return types