code: def test_case_sensitive_arg_format():
      num_samples = 1000
      tar_file_path = os.path.join(
          get_dali_extra_path(), "db/webdataset/MNIST/devel-0.tar"
      )
      index_file = generate_temp_index_file(tar_file_path)
  
      num_shards = 100
      with assert_raises(
          RuntimeError, glob="Underful sample detected at"
      ):
          for shard_id in range(num_shards):
              compare_pipelines(
                  webdataset_raw_pipeline(
                      tar_file_path,
                      index_file.name,
                      ["jpg", "cls"],
                      num_shards=num_shards,
                      shard_id=shard_id,
                      batch_size=test_batch_size,
                      device_id=0,
                      num_threads=1,
                  ),
                  webdataset_raw_pipeline(
                      tar_file_path,
                      index_file.name,
                      ext=["Jpg", "cls"],
                      missing_component_behavior="error",
                      num_shards=num_shards,
                      shard_id=shard_id,
                      batch_size=test_batch_size,
                      device_id=0,
                      num_threads=1,
                  ),
                  test_batch_size,
                  math.ceil(num_samples / num_shards / test_batch_size)
                  * 2,
              )
  
imports: import os
  from glob import glob
  import math
  import nvidia.dali
  from test_utils import compare_pipelines, get_dali_extra_path
  from nose_utils import assert_raises
  from nose.tools import assert_equal
  from webdataset_base import generate_temp_extract, generate_temp_index_file, webdataset_raw_pipeline, file_reader_pipeline
  from webdataset_base import test_batch_size
label_desc: Use image node_id 10 for calling a global function with example usage: test_case_sensitive_arg_format() without return types