code: def get_path_iterator(root, tsv, nshard, rank, audio_col_name):
      with open(tsv) as f:
          reader = csv.DictReader(
              f,
              delimiter="\t",
              quotechar=None,
              doublequote=False,
              lineterminator="\n",
              quoting=csv.QUOTE_NONE,
          )
          subpaths = [op.join(root, e[audio_col_name]) for e in reader]
          start, end = get_shard_range(len(subpaths), nshard, rank)
          subpaths = subpaths[start:end]
  
          def iterate():
              for subpath in subpaths:
                  yield op.join(root, subpath), None
  
      return iterate, len(subpaths)
  
file_path: fairseq/examples/hubert/simple_kmeans/dump_hubert_feature_s2t.py
imports: import csv
  import io
  import logging
  import os
  import os.path
  import sys
  from dump_hubert_feature import HubertFeatureReader
  from feature_utils import get_shard_range, dump_feature
  from fairseq.data.audio.audio_utils import get_features_or_waveform
label_desc: Use image node_id 1 for calling a global function with example usage: get_path_iterator(root, tsv, nshard, rank, audio_col_name) and returns: iterate,  len