错误“需要以下参数” --path-dataset-dir =

如何解决错误“需要以下参数” --path-dataset-dir =

我正在尝试将PATH_DATASET替换为提取的数据集的根文件夹，该根文件夹为C / Users / swarn / hand-on-music-generation-with-magenta / lmd_full / a。但它显示错误为：

chapter_06_example_00.py：错误：需要以下参数：--path_dataset_dir = C / Users / swarn /带洋红色的音乐生成/ lmd_full / a，-path_output_dir / C / Users / swarn /带有洋红色的音乐生成手--bass_drums_on_beat_threshold = 0.75 发生异常，请使用％tb查看完整的追溯。

我对输入数据根文件夹的位置有错吗？

我来自github的部分代码：

enter code here

    
parser = argparse.ArgumentParser()
parser.add_argument("--sample_size",type=int,default=1000)
parser.add_argument("--pool_size",default=4)
parser.add_argument("--path_dataset_dir = C/Users/swarn/ hands-on-music-generation-with-magenta/lmd_full/a",type=str,required=True)
parser.add_argument("--path_output_dir /C/Users/swarn/hands-on-music-generation-with-magenta",required=True)
parser.add_argument("--bass_drums_on_beat_threshold = 0.75",type=float,required=True,default=0)
args = parser.parse_args()

# The list of all MIDI paths on disk (we might process only a sample)
MIDI_PATHS = glob.glob(os.path.join(args.path_dataset_dir,"**","*.mid"),recursive=True)




def process(midi_path: str,counter: AtomicCounter) -> Optional[dict]:
 
  try:
    pm_drums = extract_drums(midi_path)
    bass_drums_on_beat = get_bass_drums_on_beat(pm_drums)
    if bass_drums_on_beat >= args.bass_drums_on_beat_threshold:
      midi_filename = os.path.basename(midi_path)
      pm_drums.write(os.path.join(args.path_output_dir,f"{midi_filename}.mid"))
    else:
      raise Exception(f"Not on beat {midi_path}: {bass_drums_on_beat}")
    return {"midi_path": midi_path,"pm_drums": pm_drums,"bass_drums_on_beat": bass_drums_on_beat}
  except Exception as e:
    if "Not on beat" not in str(e):
      print(f"Exception during processing of {midi_path}: {e}")
  finally:
    counter.increment()


def app(midi_paths: List[str]):
  start = timeit.default_timer()




if __name__ == "__main__":
  if args.sample_size:
    # Process a sample of it
    MIDI_PATHS_SAMPLE = random.sample(list(MIDI_PATHS),args.sample_size)
  else:
    # Process all the dataset
    MIDI_PATHS_SAMPLE = list(MIDI_PATHS)
  app(MIDI_PATHS_SAMPLE)
enter code here