code: def __init__(self, dataset_path_dict, ids: List[str], preload: bool):
      self.h5_path = dataset_path_dict["video_feats"]
      self.cached_data = None
      if preload:
          self.cached_data = {}
          h5file = load_h5file(self.h5_path)
          for id_ in tqdm(ids, desc="preload videos"):
              np_array = h5file[id_]
              shared_array = coot_utils.make_shared_array(np_array)
              self.cached_data[id_] = shared_array
  
imports: import json
  from collections import OrderedDict
  from pathlib import Path
  from typing import List
  import re
  import numpy
  import torch
  import torch.utils.data
  from tqdm import tqdm
  from gluoncv.torch.utils import coot_utils
label_desc: Use image node_id 1 to create a new Youcook2VideoFeatureLoader object  with example: obj = Youcook2VideoFeatureLoader(dataset_path_dict, ids, preload)