code: def save_numpy(name: str, array: np.ndarray):
      r"""
      Saves a single numpy array. This is used to save processed data.
      """
  
      numpy_path = Path(_experiment_singleton().run.numpy_path)
  
      if not numpy_path.exists():
          numpy_path.mkdir(parents=True)
      file_name = name + ".npy"
      np.save(str(numpy_path / file_name), array)
  
imports: from pathlib import Path
  from typing import Optional, Set, Dict, overload
  import numpy
  from labml.configs import BaseConfigs
  from labml.internal.experiment import create_experiment, experiment_singleton, has_experiment
  from labml.internal.experiment.experiment_run import get_configs
  from labml.internal.monitor import monitor_singleton
label_desc: Use image node_id 13 for calling a global function with example usage: save_numpy(name, array) without return types