code: def testFromTensorSlicesDatasetOfOrderedDict(self):
      dss = [
          dataset_ops.Dataset.range(10).map(
              lambda x: collections.OrderedDict([("x", x)])
          )
          for _ in range(10)
      ]
      ds = dataset_ops.Dataset.from_tensor_slices(dss)
      ds = ds.flat_map(lambda x: x)
      self.assertDatasetProduces(
          ds,
          expected_output=[
              collections.OrderedDict([("x", x)])
              for x in list(range(10)) * 10
          ],
      )
  
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 4 for calling the FromTensorSlicesTest obj's underlying member method code with example usage: obj.testFromTensorSlicesDatasetOfOrderedDict() without return types