code: def check_reader_path_vs_paths(
      paths, batch_size1, batch_size2, num_threads1, num_threads2
  ):
      """
      test: compare caffe_db_folder with [caffe_db_folder] and [caffe_db_folder, caffe_db_folder],
      with different batch_size and num_threads
      """
      pipe1 = CaffeReaderPipeline(
          caffe_db_folder, batch_size1, num_threads1
      )
      pipe1.build()
  
      pipe2 = CaffeReaderPipeline(paths, batch_size2, num_threads2)
      pipe2.build()
  
      def Seq(pipe):
          while True:
              pipe_out = pipe.run()
              for idx in range(len(pipe_out[0])):
                  yield pipe_out[0].at(idx), pipe_out[1].at(idx)
  
      seq1 = Seq(pipe1)
      seq2 = Seq(pipe2)
  
      num_entries = 100
      for i in range(num_entries):
          image1, label1 = next(seq1)
          image2, label2 = next(seq2)
          assert_array_equal(image1, image2)
          assert_array_equal(label1, label2)
  
imports: from nvidia.dali import Pipeline, pipeline_def
  import nvidia.dali.ops
  import nvidia.dali.fn
  import nvidia.dali.types
  from numpy.testing import assert_array_equal
  import os
  from test_utils import compare_pipelines
  from test_utils import get_dali_extra_path
label_desc: Use image node_id 1 for calling a global function with example usage: check_reader_path_vs_paths(paths, batch_size1, batch_size2, num_threads1, num_threads2) without return types