code: def testNumpy(self):
      components = (
          np.tile(np.array([[0], [1]], dtype=np.uint8), 2),
          np.tile(np.array([[2], [256]], dtype=np.uint16), 2),
          np.tile(np.array([[4], [65536]], dtype=np.uint32), 2),
          np.tile(np.array([[8], [4294967296]], dtype=np.uint64), 2),
      )
      expected_output = [
          tuple([c[i] for c in components]) for i in range(2)
      ]
  
      dataset = dataset_ops.Dataset.from_tensor_slices(components)
      for i in range(2):
          result = self.evaluate(random_access.at(dataset, i))
          self.assertAllEqual(expected_output[i], result)
  
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 6 for calling the FromTensorSlicesRandomAccessTest obj's underlying member method code with example usage: obj.testNumpy() without return types