code: def load_h5(input_file: str):
      return h5py.File(input_file, "r")
  
imports: import array
  import os
  import pickle
  import random
  from typing import Dict, List, Optional
  import h5py
  import numpy
  from torch.utils.data import DataLoader, DistributedSampler
  from tqdm import tqdm
  from nemo.collections.nlp.data.data_utils.data_preprocessing import find_newlines, load_data_indices
  from nemo.core.classes import Dataset
label_desc: Use image node_id 1 for calling a global function with example usage: load_h5(input_file) and returns: h5py