code: def testMultipleCombinations(self, elements, num_shards, index):
      components = range(elements)
      dataset = dataset_ops.Dataset.range(elements).shard(
          num_shards=num_shards, index=index
      )
      len_dataset = self.evaluate(dataset.cardinality())
      for i in range(self.evaluate(dataset.cardinality())):
          self.assertAllEqual(
              components[index + (num_shards * i)],
              self.evaluate(random_access.at(dataset, i)),
          )
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(random_access.at(dataset, index=len_dataset))
  
imports: from absl.testing import parameterized
  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.framework import combinations
  from tensorflow.python.framework import errors
  from tensorflow.python.platform import test
label_desc: Use image node_id 6 for calling the ShardRandomAccessTest obj's underlying member method code with example usage: obj.testMultipleCombinations(elements, num_shards, index) without return types