code: def _build_filter_range_graph(self, div):
      dataset = dataset_ops.Dataset.range(100)
      dataset = self.enableFilterParallelization(dataset)
      dataset = dataset.apply(testing.assert_next(["ParallelFilter"]))
      return dataset.filter(
          lambda x: math_ops.not_equal(math_ops.mod(x, div), 2)
      )
  
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 2 for calling the FilterCheckpointTest obj's underlying member method code with example usage: obj._build_filter_range_graph(div) and returns: dataset