code: def test_conv_output_shape_int_padding(self):
      output_shape = conv_output_shape(
          dimension_size=10,
          padding=3,
          filter_size=5,
          stride=5,
      )
      self.assertEqual(output_shape, 3)
  
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 9 for calling the ConvLayersTestCase obj's underlying member method code with example usage: obj.test_conv_output_shape_int_padding() without return types