code: def general_corner_case(
      test_batch_size=base.test_batch_size,
      dtypes=None,
      missing_component_behavior="",
      **kwargs,
  ):
      num_samples = 1000
      tar_file_path = os.path.join(
          get_dali_extra_path(), "db/webdataset/MNIST/devel-0.tar"
      )
      index_file = base.generate_temp_index_file(tar_file_path)
  
      extract_dir = base.generate_temp_extract(tar_file_path)
      equivalent_files = sorted(
          glob(extract_dir.name + "/*"),
          key=lambda s: int(s[s.rfind("/") + 1 : s.rfind(".")]),
      )
  
      compare_pipelines(
          base.webdataset_raw_pipeline(
              tar_file_path,
              index_file.name,
              ["jpg", "cls"],
              missing_component_behavior=missing_component_behavior,
              dtypes=dtypes,
              batch_size=test_batch_size,
              device_id=0,
              num_threads=1,
              **kwargs,
          ),
          base.file_reader_pipeline(
              equivalent_files,
              ["jpg", "cls"],
              batch_size=test_batch_size,
              device_id=0,
              num_threads=1,
              **kwargs,
          ),
          test_batch_size,
          math.ceil(num_samples / test_batch_size),
      )
  
file_path: DALI/dali/test/python/reader/test_webdataset_corner.py
imports: import math
  import nvidia.dali
  import os
  import tempfile
  from glob import glob
  from nose.tools import assert_equal
  import webdataset_base
  from nose_utils import assert_raises
  from test_utils import compare_pipelines, get_dali_extra_path
label_desc: Use image node_id 1 for calling a global function with example usage: general_corner_case(test_batch_size, dtypes, missing_component_behavior) without return types