code: def _expected_activations(self):
      return [
          self.cell1.activation,
          self.cell1.recurrent_activation,
          self.cell2.activation,
          self.cell2.recurrent_activation,
      ]
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import unittest
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.quantization.keras import quantizers
  from tensorflow_model_optimization.python.core.quantization.keras import utils
  from tensorflow_model_optimization.python.core.quantization.keras.experimental.default_n_bit import default_n_bit_quantize_registry
label_desc: Use image node_id 3 for calling the DefaultNBitQuantizeConfigRNNTest obj's underlying member method code with example usage: obj._expected_activations() and returns: list