code: def make_wavenet_args(**kwargs):
      defaults = dict(
          in_channels=1,
          out_channels=1,
          kernel_size=3,
          layers=4,
          stacks=1,
          base_dilation=2,
          residual_channels=4,
          aux_channels=-1,
          gate_channels=8,
          skip_channels=8,
          global_channels=-1,
          dropout_rate=0.0,
          bias=True,
          use_weight_norm=True,
          use_first_conv=True,
          use_last_conv=False,
          scale_residual=False,
          scale_skip_connect=False,
      )
      defaults.update(kwargs)
      return defaults
  
imports: import pytest
  import torch
  from espnet2.gan_tts.wavenet import WaveNet
label_desc: Use image node_id 1 for calling a global function with example usage: make_wavenet_args() and returns: defaults