code: def read_audio_info(
      path,
  ) -> "torchaudio.backend.common.AudioMetaData":
      """Retrieves audio metadata from a file path. Behaves identically to
      torchaudio.info, but attempts to fix metadata (such as frame count) that is
      otherwise broken with certain torchaudio version and codec combinations.
  
      Note that this may cause full file traversal in certain cases!
  
      Arguments
      ----------
      path : str
          Path to the audio file to examine.
  
      Returns
      -------
      torchaudio.backend.common.AudioMetaData
          Same value as returned by `torchaudio.info`, but may eventually have
          `num_frames` corrected if it otherwise would have been `== 0`.
  
      NOTE
      ----
      Some codecs, such as MP3, require full file traversal for accurate length
      information to be retrieved.
      In these cases, you may as well read the entire audio file to avoid doubling
      the processing time.
      """
  
      _path_no_ext, path_ext = os.path.splitext(path)
  
      if path_ext == ".mp3":
          # Additionally, certain affected versions of torchaudio fail to
          # autodetect mp3.
          # HACK: here, we check for the file extension to force mp3 detection,
          # which prevents an error from occuring in torchaudio.
          info = torchaudio.info(path, format="mp3")
      else:
          info = torchaudio.info(path)
  
      # Certain file formats, such as MP3, do not provide a reliable way to
      # query file duration from metadata (when there is any).
      # For MP3, certain versions of torchaudio began returning num_frames == 0.
      #
      # https://github.com/speechbrain/speechbrain/issues/1925
      # https://github.com/pytorch/audio/issues/2524
      #
      # Accomodate for these cases here: if `num_frames == 0` then maybe something
      # has gone wrong.
      # If some file really had `num_frames == 0` then we are not doing harm
      # double-checking anyway. If I am wrong and you are reading this comment
      # because of it: sorry
      if info.num_frames == 0:
          channels_data, sample_rate = torchaudio.load(
              path, normalize=False
          )
  
          info.num_frames = channels_data.size(1)
          info.sample_rate = sample_rate  # because we might as well
  
      return info
  
imports: import os
  import torch
  import logging
  import numpy
  import pickle
  import hashlib
  import csv
  import time
  import torchaudio
  import json
  import re
  from speechbrain.utils.torch_audio_backend import check_torchaudio_backend
label_desc: Use image node_id 4 for calling a global function with example usage: read_audio_info(path) and returns: info