code: def make_arg(**kwargs):
      defaults = dict(
          aconv_chans=2,
          aconv_filts=20,
          adim=20,
          aheads=4,
          apply_uttmvn=False,
          atype="location",
          awin=5,
          badim=20,
          batch_bins=0,
          batch_count="auto",
          batch_frames_in=0,
          batch_frames_inout=0,
          batch_frames_out=0,
          batch_size=2,
          bdropout_rate=0.0,
          beam_size=3,
          blayers=2,
          bnmask=3,
          bprojs=10,
          btype="blstmp",
          bunits=10,
          char_list=["a", "i", "u", "e", "o"],
          context_residual=False,
          ctc_type="builtin",
          ctc_weight=0.2,
          dlayers=1,
          dropout_rate=0.0,
          dropout_rate_decoder=0.0,
          dtype="lstm",
          dunits=10,
          elayers_sd=1,
          elayers=2,
          etype="vggblstmp",
          eprojs=10,
          eunits=10,
          fbank_fmax=None,
          fbank_fmin=0.0,
          fbank_fs=16000,
          mtlalpha=0.5,
          lsm_type="",
          lsm_weight=0.0,
          sampling_probability=0.0,
          nbest=5,
          maxlenratio=1.0,
          minlenratio=0.0,
          n_mels=80,
          num_spkrs=1,
          outdir=None,
          penalty=0.5,
          ref_channel=0,
          replace_sos=False,
          report_cer=False,
          report_wer=False,
          sortagrad=0,
          spa=False,
          stats_file=None,
          subsample="1_2_2_1_1",
          sym_blank="<blank>",
          sym_space="<space>",
          tgt_lang=False,
          use_beamformer=False,
          use_dnn_mask_for_wpe=False,
          use_frontend=False,
          use_wpe=False,
          uttmvn_norm_means=False,
          uttmvn_norm_vars=False,
          verbose=2,
          wdropout_rate=0.0,
          weight_decay=0.0,
          wlayers=2,
          wpe_delay=3,
          wpe_taps=5,
          wprojs=10,
          wtype="blstmp",
          wunits=10,
      )
      defaults.update(kwargs)
      return argparse.Namespace(**defaults)
  
file_path: espnet/test/test_multi_spkrs.py
imports: import argparse
  import importlib
  import re
  import numpy
  import pytest
  import torch
label_desc: Use image node_id 1 for calling a global function with example usage: make_arg() and returns: argparse