code: def testShortCircuit(self, apply_filter):
      dataset = dataset_ops.Dataset.zip(
          (
              dataset_ops.Dataset.range(10),
              dataset_ops.Dataset.from_tensors(True).repeat(None),
          )
      )
      dataset = self.enableFilterParallelization(dataset)
      dataset = dataset.apply(testing.assert_next(["ParallelFilter"]))
      dataset = apply_filter(dataset, lambda x, y: y)
      self.assertDatasetProduces(
          dataset, expected_output=[(i, True) for i in range(10)]
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import testing
  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.framework import combinations
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import map_fn
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import script_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 7 for calling the FilterParallelizationTest obj's underlying member method code with example usage: obj.testShortCircuit(apply_filter) without return types