code: def worker_shard_path(fname, suffix, worker_id) -> pathlib.Path:
      return pathlib.Path(fname).with_suffix(
          f".{suffix}_partial_{worker_id}"
      )
  
file_path: textlesslib/tools/distributed_transcribe/transcribe.py
imports: import torch.distributed
  import torch
  import pathlib
  from data_handler import ManifestDataset
  from distributed import init_distributed_context
  import logging
  from textless.data.speech_encoder import SpeechEncoder
label_desc: Use image node_id 2 for calling a global function with example usage: worker_shard_path(fname, suffix, worker_id) and returns: pathlib