code: def testMapAndBatchControlFlow(self):
      def map_fn(x):
          previous_control_flow_v2_value = (
              control_flow_util.ENABLE_CONTROL_FLOW_V2
          )
          control_flow_util.ENABLE_CONTROL_FLOW_V2 = True
          return_value = cond.cond(x < 50, lambda: x + 1, lambda: x * x)
          control_flow_util.ENABLE_CONTROL_FLOW_V2 = (
              previous_control_flow_v2_value
          )
          return return_value
  
      dataset = dataset_ops.Dataset.range(100).apply(
          batching.map_and_batch(map_fn, batch_size=10)
      )
      get_next = self.getNext(dataset)
      for i in range(10):
          if i < 5:
              self.assertAllEqual(
                  [i * 10 + j + 1 for j in range(10)],
                  self.evaluate(get_next()),
              )
          else:
              self.assertAllEqual(
                  [((i * 10) + j) * ((i * 10) + j) for j in range(10)],
                  self.evaluate(get_next()),
              )
      with self.assertRaises(errors.OutOfRangeError):
          self.evaluate(get_next())
  
imports: import math
  from absl.testing import parameterized
  import numpy
  from tensorflow.python import pywrap_sanitizers
  from tensorflow.python.checkpoint import checkpoint
  from tensorflow.python.checkpoint import checkpoint_management
  from tensorflow.python.data.experimental.ops import batching
  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.eager import context
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import control_flow_util
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
label_desc: Use image node_id 17 for calling the MapAndBatchTest obj's underlying member method code with example usage: obj.testMapAndBatchControlFlow() and returns: return_value