code: def testFlattenSparseValue(self):
      st = sparse_tensor.SparseTensorValue([[0]], [0], [1])
      single_value = st
      list_of_values = [st, st, st]
      nest_of_values = ((st), ((st), (st)))
      dict_of_values = {"foo": st, "bar": st, "baz": st}
      self.assertEqual([st], nest.flatten(single_value))
      self.assertEqual([[st, st, st]], nest.flatten(list_of_values))
      self.assertEqual([st, st, st], nest.flatten(nest_of_values))
      self.assertEqual([st, st, st], nest.flatten(dict_of_values))
  
imports: import collections
  import dataclasses
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 11 for calling the NestTest obj's underlying member method code with example usage: obj.testFlattenSparseValue() without return types