code: def testZipEqual(self):
      components = [
          np.tile(np.array([[1], [2], [3], [4]]), 20),
          np.tile(np.array([[12], [13], [14], [15]]), 22),
          np.array([37.0, 38.0, 39.0, 40.0]),
      ]
      dataset = _dataset_factory(components)
      for i in range(4):
          results = self.evaluate(random_access.at(dataset, index=i))
          for component, result_component in zip(components, results):
              self.assertAllEqual(component[i], result_component)
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(random_access.at(dataset, index=4))
  
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 5 for calling the ZipRandomAccessTest obj's underlying member method code with example usage: obj.testZipEqual() without return types