code: def test_stateful_ops_map_and_batch(
      self, use_function, use_legacy_map_and_batch
  ):
      with test_util.deterministic_ops():
          v = variables.Variable(0.0)
  
          def map_fn(x):
              v.assign_add(1.0)
              return (x, v.read_value())
  
          if use_function:
              map_fn = def_function.function(map_fn)
  
          dataset = dataset_ops.Dataset.range(5)
          if use_legacy_map_and_batch:
              dataset = dataset.apply(
                  batching.map_and_batch(
                      map_fn, 2, num_parallel_calls=5
                  )
              )
          else:
              dataset = dataset.map(map_fn, num_parallel_calls=5)
              dataset = dataset.batch(2)
          self.evaluate(variables.global_variables_initializer())
          expected_output = [
              (np.array([0, 1]), np.array([1, 2])),
              (np.array([2, 3]), np.array([3, 4])),
              (np.array([4]), np.array([5])),
          ]
          self.assertDatasetProduces(
              dataset,
              expected_output=expected_output,
              requires_initialization=True,
          )
  
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 7 for calling the MakeDeterministicTest obj's underlying member method code with example usage: obj.test_stateful_ops_map_and_batch(use_function, use_legacy_map_and_batch) and returns: x,  v