code: def test_deconv_output_shape(self):
      self.assertEqual(None, deconv_output_shape(None, 3, "same", 1))
  
      self.assertEqual(12, deconv_output_shape(10, 3, "valid", 1))
      self.assertEqual(16, deconv_output_shape(10, 7, "valid", 1))
      self.assertEqual(10, deconv_output_shape(10, 3, "same", 1))
  
      self.assertEqual(14, deconv_output_shape(4, 5, "valid", 3))
      self.assertEqual(12, deconv_output_shape(4, 3, "same", 3))
      self.assertEqual(12, deconv_output_shape(4, 7, "same", 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 6 for calling the DeconvolutionTestCase obj's underlying member method code with example usage: obj.test_deconv_output_shape() without return types