code: def test_init_model(self) -> None:
      logging.basicConfig(level=logging.INFO)
      data = [("a b", "a"), ("a b c", "b")]
      summarizer = AttentionSummarizer(lstm_size=16, embedding_size=10)
      trainer = Trainer(
          batch_size=2,
          steps_per_epoch=10,
          max_vocab_size_encoder=10,
          max_vocab_size_decoder=10,
          model_save_path=None,
          max_input_len=5,
          max_output_len=3,
      )
      trainer.train(summarizer, data, num_epochs=1)
      # encoding dim and decoding dim are num unique tokens + 4 (pad, start, end, oov)
      self.assertIsNotNone(summarizer.vectorizer)
      self.assertEqual(7, summarizer.vectorizer.encoding_dim)
      self.assertEqual(6, summarizer.vectorizer.decoding_dim)
      self.assertEqual(5, summarizer.vectorizer.max_input_len)
      self.assertEqual(3, summarizer.vectorizer.max_output_len)
  
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 4 for calling the TestTrainer obj's underlying member method code with example usage: obj.test_init_model() without return types