code: def test_invalid_padding(self):
      invalid_paddings = ("invalid mode", -10, (10, -5))
  
      for padding in invalid_paddings:
          msg = "Padding: {}".format(padding)
  
          with self.assertRaises(ValueError, msg=msg):
              layers.Convolution((2, 3, 1), padding=padding)
  
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 7 for calling the ConvLayersTestCase obj's underlying member method code with example usage: obj.test_invalid_padding() without return types