code: def test_converter(self):
      np.random.seed(100)
  
      nexamples_list = (10, 12)
      batch_size = 4
      self.config["solver"]["optimizer"]["batch_size"] = batch_size
      converter = espnet_utils.ASRConverter(self.config)
  
      for mode in (utils.TRAIN, utils.EVAL, utils.INFER):
          for nexamples in nexamples_list:
              (
                  desire_xs,
                  desire_ilens,
                  desire_ys,
                  desire_olens,
              ) = generate_json_data(self.config, mode, nexamples)
              del desire_xs, desire_ilens, desire_ys, desire_olens
              data_metas = espnet_utils.get_batches(self.config, mode)
  
              batches = data_metas["data"]
              n_utts = data_metas["n_utts"]
              self.assertEqual(n_utts, nexamples)
  
              o_uttids = []
              o_xs = []
              o_ilens = []
              o_ys = []
              o_olens = []
              for _, batch in enumerate(batches):
                  batch_data = converter(batch)
                  self.assertEqual(len(batch_data), 5)
  
                  xs, ilens, ys, olens, uttids = batch_data
                  for x, ilen, y, olen, uttid in zip(
                      xs, ilens, ys, olens, uttids
                  ):
                      self.assertDTypeEqual(x, np.float32)
                      self.assertDTypeEqual(y, np.int64)
                      o_uttids.append(uttid)
                      o_xs.append(x)
                      o_ilens.append(ilen)
                      o_ys.append(y)
                      o_olens.append(olen)
  
              self.assertEqual(len(o_xs), nexamples)
  
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 8 for calling the KaldiJsonReaderTest obj's underlying member method code with example usage: obj.test_converter() without return types