code: def testShortCircuitCapturedInput(self):
      captured_t = variables.Variable(42)
      dataset = (
          self.structuredDataset(None)
          .repeat()
          .apply(
              batching.map_and_batch(
                  lambda x: captured_t, batch_size=10
              )
          )
      )
      self.evaluate(variables.global_variables_initializer())
      get_next = self.getNext(dataset, requires_initialization=True)
      self.assertAllEqual([42] * 10, 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 16 for calling the MapAndBatchTest obj's underlying member method code with example usage: obj.testShortCircuitCapturedInput() without return types