code: def _make_seed(seed: int, start: int, iter_count: int) -> int:
      # NOTE: Tried a few variants (including iter_count << 32), this one worked best.
      return seed + start + (iter_count << 24)
  
imports: import itertools
  from typing import Any, Optional
  import warnings
  import numpy
  import torch
  from torch.utils.data.sampler import Sampler
  import dinov2.distributed
label_desc: Use image node_id 6 for calling a global function with example usage: _make_seed(seed, start, iter_count) and returns: unknown