code: def assertDynamicRaggedShapeEqual(self, expected, result):
      self.assertIsInstance(result, DynamicRaggedShape)
      self.assertTrue(expected._type_spec.is_compatible_with(result))
      for e, r in zip(
          nest.flatten(expected, expand_composites=True),
          nest.flatten(result, expand_composites=True),
      ):
          self.assertAllEqual(e, r)
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python import tf2
  from tensorflow.python.eager import context
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import ops
  from tensorflow.python.framework import random_seed
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import array_ops_stack
  from tensorflow.python.ops import check_ops
  from tensorflow.python.ops import clip_ops
  from tensorflow.python.ops import data_flow_ops
  from tensorflow.python.ops import image_ops_impl
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_impl
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import string_ops
  from tensorflow.python.ops import variables
  from tensorflow.python.ops.ragged import ragged_dispatch
  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_test_ops
  from tensorflow.python.ops.ragged.dynamic_ragged_shape import DynamicRaggedShape
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import dispatch
  from tensorflow.python.util import nest
label_desc: Use image node_id 18 for calling the RaggedDispatchTest obj's underlying member method code with example usage: obj.assertDynamicRaggedShapeEqual(expected, result) without return types