code: def _build_filter_range_dataset(self, div, options=None):
      dataset = dataset_ops.Dataset.range(100).filter(
          lambda x: math_ops.not_equal(math_ops.mod(x, div), 2)
      )
      if options:
          dataset = dataset.with_options(options)
      return dataset
  
imports: from absl.testing import parameterized
  import numpy
  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 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.platform import test
label_desc: Use image node_id 1 for calling the FilterCheckpointTest obj's underlying member method code with example usage: obj._build_filter_range_dataset(div, options) and returns: dataset