code: def test_valid_strides(self):
      Case = namedtuple("Case", "stride expected_output")
      testcases = (
          Case(stride=(4, 4), expected_output=(4, 4)),
          Case(stride=(4,), expected_output=(4, 1)),
          Case(stride=4, expected_output=(4, 4)),
      )
  
      for testcase in testcases:
          conv = layers.Convolution((2, 3, 1), stride=testcase.stride)
  
          msg = "Input stride size: {}".format(testcase.stride)
          self.assertEqual(
              testcase.expected_output, conv.stride, msg=msg
          )
  
imports: import random
  from itertools import product
  from collections import namedtuple
  import numpy
  import tensorflow
  from neupy import layers
  from neupy.utils import asfloat, shape_to_tuple
  from neupy.layers.convolutions import conv_output_shape, deconv_output_shape
  from neupy.exceptions import LayerConnectionError
  from base import BaseTestCase
label_desc: Use image node_id 4 for calling the ConvLayersTestCase obj's underlying member method code with example usage: obj.test_valid_strides() without return types