code: def testZipBasic(self):
      dataset = dataset_ops.Dataset.zip(
          (
              dataset_ops.Dataset.range(1, 4),
              dataset_ops.Dataset.range(4, 7),
          )
      )
      expected_dataset = [(1, 4), (2, 5), (3, 6)]
      for i in range(3):
          self.assertEqual(
              self.evaluate(random_access.at(dataset, index=i)),
              expected_dataset[i],
          )
  
imports: import collections
  import dataclasses
  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 errors
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the ZipRandomAccessTest obj's underlying member method code with example usage: obj.testZipBasic() without return types