code: def testDict(self, verify_fn):
      dict_components = {"foo": [1, 2, 3], "bar": [[4.0], [5.0], [6.0]]}
  
      verify_fn(
          self,
          lambda: self._build_tensor_slices_dataset(dict_components),
          num_outputs=3,
      )
  
imports: import collections
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import random_access
  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.framework import tensor_shape
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 3 for calling the FromTensorSlicesCheckpointTest obj's underlying member method code with example usage: obj.testDict(verify_fn) without return types