code: def testError(
      self,
      rt_input,
      error,
      error_type=(ValueError, errors.InvalidArgumentError),
      default=None,
      ragged_rank=None,
      shape=None,
  ):
      rt = ragged_factory_ops.constant(
          rt_input, ragged_rank=ragged_rank
      )
      with self.assertRaisesRegex(error_type, error):
          self.evaluate(
              rt.to_tensor(default_value=default, shape=shape)
          )
      rt_placeholder = nest.map_structure(
          make_placeholder, rt, expand_composites=True
      )
      with self.assertRaisesRegex(error_type, error):
          self.evaluate(
              rt_placeholder.to_tensor(
                  default_value=default, shape=shape
              )
          )
  
imports: import random
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.client import session
  from tensorflow.python.eager import backprop
  from tensorflow.python.eager import context
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gradients_impl
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.ops.ragged.ragged_tensor import RaggedTensor
  from tensorflow.python.platform import benchmark
  from tensorflow.python.platform import googletest
  from tensorflow.python.util import nest
label_desc: Use image node_id 3 for calling the RaggedTensorToTensorOpTest obj's underlying member method code with example usage: obj.testError(rt_input, error, error_type, default, ragged_rank, shape) without return types