code: def read_node_features_file(nodes_features_file):
      """
      Utility function to load tensors from a file
  
      Parameters:
      -----------
      nodes_features_file : string
          Features file for nodes in the graph
  
      Returns:
      --------
      dictionary
          mappings between ntype and list of features
      """
  
      node_features = dgl.data.utils.load_tensors(
          nodes_features_file, False
      )
      return node_features
  
imports: import json
  import logging
  import os
  from itertools import cycle
  import constants
  import dgl
  import numpy
  import psutil
  import pyarrow
  import torch
  from dgl.distributed.partition import _dump_part_config
  from pyarrow import csv
label_desc: Use image node_id 12 for calling a global function with example usage: read_node_features_file(nodes_features_file) and returns: node_features