code: def handle_args():
      parser = argparse.ArgumentParser(
          description="Tool for checking similarity of two samples"
      )
      parser.add_argument(
          "sample1", help="Filename of sample 1 to compare"
      )
      parser.add_argument(
          "sample2", help="Filename of sample 2 to compare"
      )
      parser.add_argument(
          "--threshold",
          type=float,
          default=-60.0,
          help="dB of sample deltas above which they are considered different",
      )
      parser.add_argument(
          "--if-differ",
          action="store_true",
          help="If to succeed and return status code 0 on different signals and fail on equal ones (inverse check)."
          "This will still fail on different formats or durations.",
      )
      parser.add_argument(
          "--no-success-output",
          action="store_true",
          help="Stay silent on success (if samples are equal of - with --if-differ - samples are not equal)",
      )
      return parser.parse_args()
  
imports: import sys
  import argparse
  import numpy
  from deepspeech_training.util.audio import AUDIO_TYPE_NP, mean_dbfs
  from deepspeech_training.util.sample_collections import load_sample
label_desc: Use image node_id 3 for calling a global function with example usage: handle_args() and returns: parser