code: def __getitem__(self, token):
      if token in self.stoi:
          return self.vectors[self.stoi[token]], True
      else:
          return (
              torch.Tensor(
                  np.array(
                      np.random.uniform(
                          low=-0.08, high=0.08, size=(self.dim)
                      ),
                      dtype=np.float,
                  )
              ),
              False,
          )
  
imports: import os
  import pickle
  import re
  import warnings
  from collections import Counter
  from functools import lru_cache
  import numpy
  import torch
  from nltk.tokenize import word_tokenize
  from torchtext.vocab import GloVe, Vectors
  from .None import constants
label_desc: Use image node_id 2 for calling the WordEmbModel obj's underlying member method code with example usage: obj.__getitem__(token) and returns: self,  True, torch,  False