code: def test_init(self) -> None:
      preprocessor = Preprocessor(
          start_token="<custom_start_token>",
          lower_case=False,
          hash_numbers=False,
      )
      trainer = Trainer(
          max_output_len=9,
          batch_size=1,
          max_vocab_size_encoder=2,
          max_vocab_size_decoder=3,
          embedding_path_encoder="glove.txt",
          steps_per_epoch=4,
          tensorboard_dir="tensor_dir",
          model_save_path="model_save_path",
          shuffle_buffer_size=10,
          bucketing_buffer_size_batches=5,
          bucketing_batches_to_bucket=6,
          steps_to_log=7,
          logging_level=logging.DEBUG,
          preprocessor=preprocessor,
      )
  
      self.assertEqual(1, trainer.batch_size)
      self.assertEqual(2, trainer.max_vocab_size_encoder)
      self.assertEqual(3, trainer.max_vocab_size_decoder)
      self.assertEqual("glove.txt", trainer.embedding_path_encoder)
      self.assertIsNone(trainer.embedding_path_decoder)
      self.assertEqual(4, trainer.steps_per_epoch)
      self.assertEqual("tensor_dir", trainer.tensorboard_dir)
      self.assertEqual("model_save_path", trainer.model_save_path)
      self.assertFalse(trainer.use_bucketing)
      self.assertEqual(10, trainer.shuffle_buffer_size)
      self.assertEqual(5, trainer.bucketing_buffer_size_batches)
      self.assertEqual(6, trainer.bucketing_batches_to_bucket)
      self.assertEqual(7, trainer.steps_to_log)
      self.assertEqual(9, trainer.max_output_len)
      self.assertEqual(logging.DEBUG, trainer.logger.level)
      self.assertEqual(
          "<custom_start_token>", trainer.preprocessor.start_token
      )
      self.assertEqual(False, trainer.preprocessor.lower_case)
      self.assertEqual(False, trainer.preprocessor.hash_numbers)
  
file_path: headliner/tests/test_trainer.py
imports: import tensorflow
  import logging
  import os
  import unittest
  import numpy
  from tensorflow.python.keras.callbacks import Callback
  from headliner.model import AttentionSummarizer
  from headliner.preprocessing.preprocessor import Preprocessor
  from headliner.trainer import Trainer
label_desc: Use image node_id 3 for calling the TestTrainer obj's underlying member method code with example usage: obj.test_init() without return types