code: def testMapAndBatchMapError(self, threshold):
      def raising_py_fn(i):
          if i >= threshold:
              raise StopIteration()
          else:
              return i
  
      dataset = dataset_ops.Dataset.range(100).apply(
          batching.map_and_batch(
              lambda x: script_ops.py_func(
                  raising_py_fn, [x], dtypes.int64
              ),
              batch_size=10,
          )
      )
  
      get_next = self.getNext(dataset)
      for i in range(threshold // 10):
          self.assertAllEqual(
              [i * 10 + j for j in range(10)], self.evaluate(get_next())
          )
      for i in range(threshold // 10, 10):
          with self.assertRaises(errors.InvalidArgumentError):
              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 10 for calling the MapAndBatchTest obj's underlying member method code with example usage: obj.testMapAndBatchMapError(threshold) and returns: i