code: def assertCoordinatesAreValid(self, coords, img_size, win_size):
      for coord in coords:
          for i in range(len(coord.shape)):
              self.assertTrue(coord[i] >= int(win_size[i] / 2))
  
              self.assertTrue(
                  coord[i] <= img_size[i] - int(win_size[i] / 2)
              )
  
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 1 for calling the RandomCoordinatesTest obj's underlying member method code with example usage: obj.assertCoordinatesAreValid(coords, img_size, win_size) without return types