code: def __init__(
      self,
      vocab_size,
      mask_token,
      random_token,
      mask_token_rate=0.8,
      random_token_rate=0.1,
  ):
      super(AlwaysRandomValuesChooser, self).__init__(1, 0, 0, 1)
      self._random_token = random_token
  
imports: from absl.testing import parameterized
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import errors
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import lookup_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_factory_ops
  from tensorflow.python.ops.ragged import ragged_functional_ops
  from tensorflow.python.platform import test
  from tensorflow_text.python.ops import item_selector_ops
  from tensorflow_text.python.ops import masking_ops
label_desc: Use image node_id 1 to create a new AlwaysRandomValuesChooser object from inherited base classes: masking_ops with example: obj = AlwaysRandomValuesChooser(vocab_size, mask_token, random_token, mask_token_rate, random_token_rate)