code: def testLibrispeechWithAreaAttention(self):
      self.testTransformerLibrispeech(
          {
              "max_area_width": 2,
              "num_area_layers": 1,
              "area_key_mode": "mean",
              "area_value_mode": "sum",
          }
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  from tensor2tensor.data_generators import librispeech
  from tensor2tensor.data_generators import problem_hparams
  from tensor2tensor.models import transformer
  import tensorflow.compat.v1
  from tensorflow.compat.v1 import estimator
label_desc: Use image node_id 5 for calling the TransformerTest obj's underlying member method code with example usage: obj.testLibrispeechWithAreaAttention() without return types