code: def _build_filter_dict_dataset(self):
      return (
          dataset_ops.Dataset.range(10)
          .map(lambda x: {"foo": x * 2, "bar": x**2})
          .filter(lambda d: math_ops.equal(d["bar"] % 2, 0))
          .map(lambda d: d["foo"] + d["bar"])
      )
  
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 3 for calling the FilterCheckpointTest obj's underlying member method code with example usage: obj._build_filter_dict_dataset() and returns: dataset_ops