code: def test_numpy_reader_alias(device):
      with tempfile.TemporaryDirectory(
          prefix=gds_data_root
      ) as test_data_root:
          # create files
          num_samples = 20
          filenames = []
          arr_np_list = []
          for index in range(0, num_samples):
              filename = os.path.join(
                  test_data_root, "test_{:02d}.npy".format(index)
              )
              filenames.append(filename)
              create_numpy_file(filename, (5, 2, 8), np.float32, False)
              arr_np_list.append(np.load(filename))
  
          check_numpy_reader_alias(test_data_root, device)
  
imports: from nvidia.dali import Pipeline, pipeline_def
  import nvidia.dali.fn
  import nvidia.dali.types
  import nvidia.dali.backend
  import numpy
  from numpy.testing import assert_array_equal
  import os
  import platform
  import random
  import tempfile
  from nose_utils import assert_raises
  from nose import SkipTest
  from nose2.tools import params, cartesian_params
  from test_utils import compare_pipelines, to_array
label_desc: Use image node_id 19 for calling a global function with example usage: test_numpy_reader_alias(device) without return types