code: def test_remove_element_two_elements(self):
      sampler = CSVPatchSampler(
          reader=get_large_window_reader_two_elements(),
          csv_reader=get_csvpatch_reader_two_elements(),
          window_sizes=LARGE_MOD_DATA_2_ELEMENTS,
          batch_size=2,
          windows_per_image=1,
          queue_length=3,
          mode_correction="remove",
      )
      with self.cached_session() as sess:
          sampler.set_num_threads(1)
          try:
              out = sess.run(sampler.pop_batch_op())
              passed = True
          except Exception:
              passed = False
          self.assertTrue(passed)
  
imports: from __future__ import absolute_import, division, print_function
  import os
  import numpy
  import tensorflow
  from niftynet.contrib.csv_reader.csv_reader import CSVReader
  from niftynet.contrib.csv_reader.sampler_csvpatch import CSVPatchSampler
  from niftynet.engine.image_window import N_SPATIAL
  from niftynet.engine.sampler_uniform_v2 import rand_spatial_coordinates
  from niftynet.io.image_reader import ImageReader
  from niftynet.io.image_sets_partitioner import ImageSetsPartitioner
  from niftynet.utilities.util_common import ParserNamespace
  from tests.niftynet_testcase import NiftyNetTestCase
label_desc: Use image node_id 6 for calling the CSVPatchSamplerTest obj's underlying member method code with example usage: obj.test_remove_element_two_elements() without return types