code: def rel_to_bucket(n_up: int, n_down: int, max_depth: int = 8):
      ret = n_up * max_depth + n_down
      if ret == 0:
          return ret
      else:
          # bucket 1 is reserved for incontext samples
          return ret + 1
  
imports: from collections import OrderedDict
  import multiprocessing
  import os
  from queue import Empty
  from typing import Any, Callable, Dict, List, Optional, Set, Tuple, Union
  from typing_extensions import TypedDict
  from ...dataset import DistributedDataset
  from ...tokenizers import CPMBeeTokenizer
  from ...utils.config import load_dataset_config
  import numpy
  import time
  from numpy.typing import NDArray
  import torch
  import bmtrain
  import importlib.machinery
  import importlib.util
  import types
  import random
label_desc: Use image node_id 1 for calling a global function with example usage: rel_to_bucket(n_up, n_down, max_depth) and returns: ret, unknown