code: def make_inference_args(**kwargs):
      defaults = dict(threshold=0.5, maxlenratio=5.0, minlenratio=0.0)
      defaults.update(kwargs)
      return defaults
  
file_path: espnet/test/test_e2e_tts_transformer.py
imports: from argparse import Namespace
  import numpy
  import pytest
  import torch
  from espnet.nets.pytorch_backend.e2e_tts_transformer import Transformer, subsequent_mask
  from espnet.nets.pytorch_backend.nets_utils import pad_list
label_desc: Use image node_id 2 for calling a global function with example usage: make_inference_args() and returns: defaults