code: def test_stateful_ops_map_with_random_ops(self):
      with test_util.deterministic_ops():
  
          def map_fn(x):
              return x + random_ops.random_uniform(
                  (), 0, 2, dtype=dtypes.int64, seed=1
              )
  
          dataset = dataset_ops.Dataset.range(5)
          dataset = dataset.apply(
              testing.assert_next(["Map", "ParallelMap"])
          )
          dataset = dataset.map(map_fn, num_parallel_calls=5)
          get_next = self.getNext(dataset, requires_initialization=True)
          for i in range(5):
              self.assertIn(self.evaluate(get_next()), [i, i + 1])
  
imports: import os
  import time
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.compat import v2_compat
  from tensorflow.python.data.experimental.ops import batching
  from tensorflow.python.data.experimental.ops import interleave_ops
  from tensorflow.python.data.experimental.ops import testing
  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.data.ops import readers
  from tensorflow.python.eager import def_function
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import config
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 4 for calling the MakeDeterministicTest obj's underlying member method code with example usage: obj.test_stateful_ops_map_with_random_ops() and returns: unknown