code: def get_parser():
      parser = argparse.ArgumentParser()
      parser.add_argument(
          "--feats-dir",
          type=str,
          help="folder contains wav.scp for training",
      )
      parser.add_argument(
          "--n-clusters",
          default=100,
          type=int,
          help="number of clusters for K-Means",
      )
      parser.add_argument(
          "--nj", default=1, type=int, help="only support mfcc"
      )
      parser.add_argument("--seed", default=0, type=int)
      parser.add_argument("--fs", type=int, default=16000)
      parser.add_argument("--feature-type", type=str, default="mfcc")
      parser.add_argument("--hubert-model-url", type=str, default=None)
      parser.add_argument("--hubert-model-path", type=str, default=None)
      parser.add_argument(
          "--portion",
          type=float,
          default=1.0,
          help="Using a subset of the data.",
      )
  
      group = parser.add_argument_group(description="K-means model.")
      group.add_argument(
          "--km-path", type=str, help="path for k-means model."
      )
      group.add_argument("--init", default="k-means++")
      group.add_argument("--max-iter", default=100, type=int)
      group.add_argument("--batch-size", default=10000, type=int)
      group.add_argument("--tol", default=0.0, type=float)
      group.add_argument("--max-no-improvement", default=100, type=int)
      group.add_argument("--n-init", default=20, type=int)
      group.add_argument(
          "--reassignment-ratio", default=0.0, type=float
      )
  
      return parser
  
imports: import argparse
  import logging
  import math
  import os
  import sys
  import warnings
  from random import sample
  import fairseq
  import joblib
  import numpy
  import soundfile
  import torch
  import torchaudio
  import tqdm
  from feature_loader import HubertFeatureReader, MfccFeatureReader
  from sklearn.cluster import MiniBatchKMeans
  from espnet2.asr.encoder.hubert_encoder import FairseqHubertEncoder
label_desc: Use image node_id 1 for calling a global function with example usage: get_parser() and returns: parser