code: def test_main(tmp_path):
      train_text = tmp_path / "train.txt"
      with train_text.open("w") as f:
          f.write("a 10,1\n")
  
      TestTask.main(
          cmd=[
              "--output_dir",
              str(tmp_path / "out"),
              "--train_data_path_and_name_and_type",
              f"{train_text},x,rand_float",
              "--train_shape_file",
              str(train_text),
              "--valid_data_path_and_name_and_type",
              f"{train_text},x,rand_float",
              "--valid_shape_file",
              str(train_text),
              "--batch_size",
              "1",
              "--batch_type",
              "unsorted",
              "--max_epoch",
              "1",
          ]
      )
  
imports: import configargparse
  import pytest
  import torch
  from espnet2.tasks.abs_task import AbsTask
  from espnet2.torch_utils.device_funcs import force_gatherable
  from espnet2.train.abs_espnet_model import AbsESPnetModel
  from espnet2.train.collate_fn import CommonCollateFn
label_desc: Use image node_id 7 for calling a global function with example usage: test_main(tmp_path) without return types