code: def get_args():
      parser = argparse.ArgumentParser(
          description="""This script performs Bayesian HMM-based
              clustering of x-vectors for one recording""",
          formatter_class=argparse.ArgumentDefaultsHelpFormatter,
      )
      parser.add_argument(
          "--init-smoothing",
          type=float,
          default=10,
          help="AHC produces hard assignments of x-vetors to speakers."
          " These are smoothed to soft assignments as the initialization"
          " for VB-HMM. This parameter controls the amount of smoothing."
          " Not so important, high value (e.g. 10) is OK  => keeping hard assigment",
      )
      parser.add_argument(
          "--loop-prob",
          type=float,
          default=0.80,
          help="probability of not switching speakers between frames",
      )
      parser.add_argument(
          "--fa",
          type=float,
          default=0.4,
          help="scale sufficient statistics collected using UBM",
      )
      parser.add_argument(
          "--fb",
          type=float,
          default=11,
          help="speaker regularization coefficient Fb (controls final # of speaker)",
      )
      parser.add_argument(
          "xvector_ark_file",
          type=str,
          help="Ark file containing xvectors for all subsegments",
      )
      parser.add_argument("plda", type=str, help="path to PLDA model")
      parser.add_argument(
          "input_label_file", type=str, help="path of input label file"
      )
      parser.add_argument(
          "output_label_file",
          type=str,
          help="path of output label file",
      )
      args = parser.parse_args()
      return args
  
file_path: espnet/egs/libri_css/asr1/diarization/vb_hmm_xvector.py
imports: import argparse
  import kaldi_io
  import numpy
  import VB_diarization
  from scipy.special import softmax
label_desc: Use image node_id 1 for calling a global function with example usage: get_args() and returns: args