code: def make_arg(**kwargs):
      defaults = dict(
          elayers=4,
          subsample="1_2_2_1_1",
          etype="blstmp",
          eunits=100,
          eprojs=100,
          dtype="lstm",
          dlayers=1,
          dunits=300,
          atype="location",
          aconv_chans=10,
          aconv_filts=100,
          mtlalpha=0.5,
          lsm_type="",
          lsm_weight=0.0,
          sampling_probability=0.0,
          adim=320,
          dropout_rate=0.0,
          dropout_rate_decoder=0.0,
          nbest=5,
          beam_size=3,
          penalty=0.5,
          maxlenratio=1.0,
          minlenratio=0.0,
          ctc_weight=0.2,
          ctc_window_margin=0,
          verbose=2,
          char_list=["a", "i", "u", "e", "o"],
          word_list=[
              "<blank>",
              "<unk>",
              "ai",
              "iu",
              "ue",
              "eo",
              "oa",
              "<eos>",
          ],
          outdir=None,
          ctc_type="builtin",
          report_cer=False,
          report_wer=False,
          sym_space="<space>",
          sym_blank="<blank>",
          context_residual=False,
          use_frontend=False,
          replace_sos=False,
          tgt_lang=False,
      )
      defaults.update(kwargs)
      return argparse.Namespace(**defaults)
  
file_path: espnet/test/test_recog.py
imports: import argparse
  import numpy
  import pytest
  import torch
  import espnet.lm.pytorch_backend.extlm
  import espnet.nets.pytorch_backend.lm.default
  from espnet.nets.pytorch_backend import e2e_asr
label_desc: Use image node_id 1 for calling a global function with example usage: make_arg() and returns: argparse