code: def test_batch_size_gen():
      train_data = "../data/gen/train-eval.csv"
      save_path = "data/gen/decode-test/"
  
      # Batching should work by default due to all inputs being the
      # same length
      args = GENTrainArgs(num_train_epochs=1, batch_size=2)
  
      happy_gen.train(train_data, args=args)
  
imports: import csv
  from happytransformer import HappyWordPrediction, GENTrainArgs, WPTrainArgs
  from datasets import load_from_disk
  from tests import happy_gen, happy_wp
label_desc: Use image node_id 3 for calling a global function with example usage: test_batch_size_gen() without return types