code: def testMapAndFilterFusion(self, function, predicate):
      dataset = (
          dataset_ops.Dataset.range(10)
          .apply(testing.assert_next(["Map", "Filter", "Map"]))
          .map(function)
          .filter(predicate)
      )
      options = options_lib.Options()
      options.experimental_optimization.apply_default_optimizations = (
          False
      )
      options.experimental_optimization.map_and_filter_fusion = True
      dataset = dataset.with_options(options)
      self._testDataset(dataset, function, predicate)
  
file_path: tensorflow-upstream/tensorflow/python/data/experimental/kernel_tests/optimization/map_and_filter_fusion_test.py
imports: import functools
  from absl.testing import parameterized
  from tensorflow.python.data.experimental.ops import testing
  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 constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.ops import math_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the MapAndFilterFusionTest obj's underlying member method code with example usage: obj.testMapAndFilterFusion(function, predicate) without return types