code: def make_dataset(path, impl, skip_warmup=False):
      if not IndexedDataset.exists(path):
          print(f"Dataset does not exist: {path}")
          print(
              "Path should be a basename that both .idx and .bin can be appended to get full filenames."
          )
          return None
      if impl == "infer":
          impl = infer_dataset_impl(path)
      if impl == "lazy" and IndexedDataset.exists(path):
          return IndexedDataset(path)
      elif impl == "cached" and IndexedDataset.exists(path):
          return IndexedCachedDataset(path)
      elif impl == "mmap" and MMapIndexedDataset.exists(path):
          return MMapIndexedDataset(path, skip_warmup)
      print(f"Unknown dataset implementation: {impl}")
      return None
  
imports: import os
  import shutil
  import struct
  from functools import lru_cache
  from itertools import accumulate
  import numpy
  import torch
label_desc: Use image node_id 5 for calling a global function with example usage: make_dataset(path, impl, skip_warmup) and returns: None, None, IndexedDataset, IndexedCachedDataset, MMapIndexedDataset