class_docstr: Test the correctness of `self._load` for various formats
class_docstr_tok: ["Test","the","correctness","of","`","self._load","`","for","various","formats"]
docstr: `self._load` can load large wav file correctly.
docstr_tok: ["`","self._load","`","can","load","large","wav","file","correctly","."]
code: def test_wav_large(self, dtype, sample_rate, num_channels, normalize):
      """`self._load` can load large wav file correctly."""
      two_hours = 2 * 60 * 60
      self.assert_wav(
          dtype, sample_rate, num_channels, normalize, two_hours
      )
  
imports: import io
  import itertools
  import pathlib
  import tarfile
  from functools import partial
  from parameterized import parameterized
  from torchaudio._backend.ffmpeg import _parse_save_args
  from torchaudio._backend.utils import get_load_func
  from torchaudio._internal import module_utils
  from torchaudio_unittest.backend.dispatcher.sox.common import name_func
  from torchaudio_unittest.common_utils import disabledInCI, get_asset_path, get_wav_data, HttpServerMixin, load_wav, PytorchTestCase, save_wav, skipIfNoExec, skipIfNoFFmpeg, skipIfNoModule, sox_utils, TempDirMixin
  from .save_test import _convert_audio_file
label_desc: Use image node_id 4 for calling the TestLoad obj's underlying member method code with example usage: obj.test_wav_large(dtype, sample_rate, num_channels, normalize) without return types