code: def parse_faiss_specs(specs_str):
      specs = []
      for ss in specs_str.split():
          comps = ss.split("_")
          pca = 0
          norm = False
          n_clus = 0
          sphere = False
          for c in comps:
              if c.startswith("PCA"):
                  pca = int(c[3:])
              elif c == "NORM":
                  norm = True
              elif c.startswith("CLUS"):
                  n_clus = int(c[4:])
              elif c == "SPHERICAL":
                  sphere = True
          assert n_clus > 0
          specs.append(
              faiss_spec(
                  pca=pca,
                  norm=norm,
                  n_clus=n_clus,
                  sphere=sphere,
                  spec_str=ss,
              )
          )
      return specs
  
file_path: espnet/egs2/kising/svs1/pyscripts/feats/feats_cluster_faiss.py
imports: import argparse
  import gc
  import os
  import os.path
  import random
  from collections import namedtuple
  import faiss
  import numpy
  import soundfile
  import torch
  import tqdm
label_desc: Use image node_id 2 for calling a global function with example usage: parse_faiss_specs(specs_str) and returns: specs