code: def testParallelFilters(self, apply_filter):
      dataset = dataset_ops.Dataset.range(10)
      dataset = self.enableFilterParallelization(dataset)
      dataset = dataset.apply(testing.assert_next(["ParallelFilter"]))
      dataset = apply_filter(
          dataset, lambda x: math_ops.equal(x % 2, 0)
      )
      next_elements = [self.getNext(dataset) for _ in range(10)]
      self.assertEqual(
          [0 for _ in range(10)],
          self.evaluate(
              [next_element() for next_element in next_elements]
          ),
      )
  
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 8 for calling the FilterParallelizationTest obj's underlying member method code with example usage: obj.testParallelFilters(apply_filter) without return types