code: def testTwoDimensionalArray(self):
      tensor = [[1, 2], [3, 4]]
      dataset = from_list.from_list(tensor)
      for i in range(2):
          results = self.evaluate(random_access.at(dataset, i))
          self.assertAllEqual(tensor[i], results)
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import from_list
  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 tensor_shape
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the FromListRandomAccessTest obj's underlying member method code with example usage: obj.testTwoDimensionalArray() without return types