code: def make_arg(**kwargs):
      defaults = dict(
          adim=2,
          aheads=1,
          dropout_rate=0.0,
          transformer_attn_dropout_rate=None,
          elayers=1,
          eunits=2,
          dlayers=1,
          dunits=2,
          sym_space="<space>",
          sym_blank="<blank>",
          transformer_decoder_selfattn_layer_type="selfattn",
          transformer_encoder_pos_enc_layer_type="rel_pos",
          transformer_encoder_selfattn_layer_type="rel_selfattn",
          macaron_style=True,
          use_cnn_module=True,
          cnn_module_kernel=3,
          transformer_init="pytorch",
          transformer_input_layer="conv2d",
          transformer_length_normalized_loss=True,
          report_cer=False,
          report_wer=False,
          mtlalpha=0.0,
          lsm_weight=0.001,
          char_list=["<blank>", "a", "e", "i", "o", "u"],
          ctc_type="builtin",
      )
      defaults.update(kwargs)
      return argparse.Namespace(**defaults)
  
file_path: espnet/test/test_e2e_asr_conformer.py
imports: import argparse
  import pytest
  import torch
  from espnet.nets.pytorch_backend.e2e_asr_conformer import E2E
  from espnet.nets.pytorch_backend.transformer import plot
label_desc: Use image node_id 1 for calling a global function with example usage: make_arg() and returns: argparse