code: def get_parser():
      """Get parser of decoding arguments."""
      parser = configargparse.ArgumentParser(
          description="Synthesize speech from text using a TTS model on one CPU",
          config_file_parser_class=configargparse.YAMLConfigFileParser,
          formatter_class=configargparse.ArgumentDefaultsHelpFormatter,
      )
      # general configuration
      parser.add(
          "--config", is_config_file=True, help="config file path"
      )
      parser.add(
          "--config2",
          is_config_file=True,
          help="second config file path that overwrites the settings in `--config`.",
      )
      parser.add(
          "--config3",
          is_config_file=True,
          help="third config file path that overwrites "
          "the settings in `--config` and `--config2`.",
      )
  
      parser.add_argument(
          "--ngpu", default=0, type=int, help="Number of GPUs"
      )
      parser.add_argument(
          "--backend",
          default="pytorch",
          type=str,
          choices=["chainer", "pytorch"],
          help="Backend library",
      )
      parser.add_argument(
          "--debugmode", default=1, type=int, help="Debugmode"
      )
      parser.add_argument(
          "--seed", default=1, type=int, help="Random seed"
      )
      parser.add_argument(
          "--out", type=str, required=True, help="Output filename"
      )
      parser.add_argument(
          "--verbose", "-V", default=0, type=int, help="Verbose option"
      )
      parser.add_argument(
          "--preprocess-conf",
          type=str,
          default=None,
          help="The configuration file for the pre-processing",
      )
      # task related
      parser.add_argument(
          "--json",
          type=str,
          required=True,
          help="Filename of train label data (json)",
      )
      parser.add_argument(
          "--model",
          type=str,
          required=True,
          help="Model file parameters to read",
      )
      parser.add_argument(
          "--model-conf",
          type=str,
          default=None,
          help="Model config file",
      )
      # decoding related
      parser.add_argument(
          "--maxlenratio",
          type=float,
          default=5,
          help="Maximum length ratio in decoding",
      )
      parser.add_argument(
          "--minlenratio",
          type=float,
          default=0,
          help="Minimum length ratio in decoding",
      )
      parser.add_argument(
          "--threshold",
          type=float,
          default=0.5,
          help="Threshold value in decoding",
      )
      parser.add_argument(
          "--use-att-constraint",
          type=strtobool,
          default=False,
          help="Whether to use the attention constraint",
      )
      parser.add_argument(
          "--backward-window",
          type=int,
          default=1,
          help="Backward window size in the attention constraint",
      )
      parser.add_argument(
          "--forward-window",
          type=int,
          default=3,
          help="Forward window size in the attention constraint",
      )
      parser.add_argument(
          "--fastspeech-alpha",
          type=float,
          default=1.0,
          help="Alpha to change the speed for FastSpeech",
      )
      # save related
      parser.add_argument(
          "--save-durations",
          default=False,
          type=strtobool,
          help="Whether to save durations converted from attentions",
      )
      parser.add_argument(
          "--save-focus-rates",
          default=False,
          type=strtobool,
          help="Whether to save focus rates of attentions",
      )
      return parser
  
imports: import logging
  import os
  import subprocess
  import sys
  import configargparse
  from espnet.utils.cli_utils import strtobool
label_desc: Use image node_id 1 for calling a global function with example usage: get_parser() and returns: parser