code: def test_repr(self):
      mod = julius.FFTConv1d(4, 5, 8, bias=False)
      self.assertEqual(
          repr(mod),
          "FFTConv1d(in_channels=4,out_channels=5,kernel_size=8,bias=False)",
      )
  
file_path: julius/tests/test_fftconv.py
imports: import random
  import unittest
  import torch
  from torch.nn import functional
  import julius
label_desc: Use image node_id 6 for calling the TestFFTConv1d obj's underlying member method code with example usage: obj.test_repr() without return types