code: def testFlattenRaggedValue(self):
      rt = ragged_factory_ops.constant_value([[[0]], [[1]]])
      single_value = rt
      list_of_values = [rt, rt, rt]
      nest_of_values = ((rt), ((rt), (rt)))
      dict_of_values = {"foo": rt, "bar": rt, "baz": rt}
      self.assertEqual([rt], nest.flatten(single_value))
      self.assertEqual([[rt, rt, rt]], nest.flatten(list_of_values))
      self.assertEqual([rt, rt, rt], nest.flatten(nest_of_values))
      self.assertEqual([rt, rt, rt], 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 12 for calling the NestTest obj's underlying member method code with example usage: obj.testFlattenRaggedValue() without return types