code: def _test_round_trip_conversion_combinations():
      cases = [
          (
              "Tensor",
              lambda: constant_op.constant(37.0),
          ),
          (
              "SparseTensor",
              lambda: sparse_tensor.SparseTensor(
                  indices=[[3, 4]], values=[-1], dense_shape=[4, 5]
              ),
          ),
          (
              "TensorArray",
              lambda: tensor_array_ops.TensorArray(
                  dtype=dtypes.float32, element_shape=(), size=1
              ).write(0, 7),
          ),
          (
              "RaggedTensor",
              lambda: ragged_factory_ops.constant([[1, 2], [], [3]]),
          ),
          (
              "Nested_0",
              lambda: {
                  "a": constant_op.constant(37.0),
                  "b": constant_op.constant([1, 2, 3]),
              },
          ),
          (
              "Nested_1",
              lambda: {
                  "a": constant_op.constant(37.0),
                  "b": (
                      sparse_tensor.SparseTensor(
                          indices=[[0, 0]],
                          values=[1],
                          dense_shape=[1, 1],
                      ),
                      sparse_tensor.SparseTensor(
                          indices=[[3, 4]],
                          values=[-1],
                          dense_shape=[4, 5],
                      ),
                  ),
              },
          ),
      ]
  
      def reduce_fn(x, y):
          name, value_fn = y
          return x + combinations.combine(
              value_fn=combinations.NamedObject(
                  "value_fn.{}".format(name), value_fn
              )
          )
  
      return functools.reduce(reduce_fn, cases, [])
  
imports: import collections
  import dataclasses
  import functools
  from absl.testing import parameterized
  import numpy
  import wrapt
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.util import nest
  from tensorflow.python.data.util import structure
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import tensor_array_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged import ragged_tensor_value
  from tensorflow.python.platform import test
  from tensorflow.python.util.compat import collections_abc
label_desc: Use image node_id 6 for calling a global function with example usage: _test_round_trip_conversion_combinations() and returns: functools, unknown