code: def load_sound_file(
      file_path, sample_rate, mono=True, resample_type="auto"
  ):
      """
      Load an audio file as a floating point time series. Audio will be automatically
      resampled to the given sample rate.
  
      :param file_path: str or Path instance that points to a sound file
      :param sample_rate: If not None, resample to this sample rate
      :param mono: If True, mix any multichannel data down to mono, and return a 1D array
      :param resample_type: "auto" means use "kaiser_fast" when upsampling and "kaiser_best" when
          downsampling
      """
      file_path = str(file_path)
      samples, actual_sample_rate = librosa.load(
          str(file_path), sr=None, mono=mono, dtype=np.float32
      )
  
      if sample_rate is not None and actual_sample_rate != sample_rate:
          if resample_type == "auto":
              if librosa.__version__.startswith("0.8."):
                  resample_type = (
                      "kaiser_fast"
                      if actual_sample_rate < sample_rate
                      else "kaiser_best"
                  )
              else:
                  resample_type = "soxr_hq"
          samples = librosa.resample(
              samples,
              orig_sr=actual_sample_rate,
              target_sr=sample_rate,
              res_type=resample_type,
          )
          warnings.warn(
              "{} had to be resampled from {} Hz to {} Hz. This hurt execution time.".format(
                  str(file_path), actual_sample_rate, sample_rate
              )
          )
  
      actual_sample_rate = (
          actual_sample_rate if sample_rate is None else sample_rate
      )
  
      if mono:
          assert len(samples.shape) == 1
      return samples, actual_sample_rate
  
imports: import warnings
  import librosa
  import numpy
label_desc: Use image node_id 1 for calling a global function with example usage: load_sound_file(file_path, sample_rate, mono, resample_type) and returns: samples,  actual_sample_rate