code: def test_sortagrad(self):
      dummy_json = make_dummy_json(128, [1, 700], [1, 700])
  
      for task in espnet_utils.TASK_SET:
          if task == "tts":
              batchset = espnet_utils.make_batchset(
                  task,
                  dummy_json,
                  16,
                  2**10,
                  2**10,
                  batch_sort_key="input",
                  shortest_first=True,
              )
              key = "output"
          elif task == "asr":
              batchset = espnet_utils.make_batchset(
                  task,
                  dummy_json,
                  16,
                  2**10,
                  2**10,
                  batch_sort_key="input",
                  shortest_first=True,
              )
              key = "input"
  
          prev_start_ilen = batchset[0][0][1][key][0]["shape"][0]
          for batch in batchset:
              # short to long
              cur_start_ilen = batch[0][1][key][0]["shape"][0]
              self.assertGreaterEqual(cur_start_ilen, prev_start_ilen)
  
              prev_ilen = cur_start_ilen
              for sample in batch:
                  cur_ilen = sample[1][key][0]["shape"][0]
                  # long to short in minibatch
                  self.assertLessEqual(cur_ilen, prev_ilen)
                  prev_ilen = cur_ilen
              prev_start_ilen = cur_start_ilen
  
imports: import tempfile
  from pathlib import Path
  import numpy
  import delta.compat
  import h5py
  import kaldiio
  from absl import logging
  from espnet.utils.io_utils import LoadInputsAndTargets
  from espnet.utils.io_utils import SoundHDF5File
  from test.utils_test import make_dummy_json
  from delta import utils
  from delta.data.utils import espnet_utils
  from delta.data.utils.test_utils import generate_json_data
label_desc: Use image node_id 4 for calling the KaldiJsonReaderTest obj's underlying member method code with example usage: obj.test_sortagrad() without return types