code: def testMultipleComponents(self):
      dataset = dataset_ops.Dataset.from_tensor_slices(
          ([1, 2], [3, 4], [5, 6])
      )
      self.assertEqual(
          (1, 3, 5), self.evaluate(random_access.at(dataset, 0))
      )
      self.assertEqual(
          (2, 4, 6), self.evaluate(random_access.at(dataset, 1))
      )
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  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 dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the FromTensorSlicesRandomAccessTest obj's underlying member method code with example usage: obj.testMultipleComponents() without return types