code: def hash_(token: str, hash_size: int) -> int:
      """Convert a token to a hash of given size.
      Args:
          token: a word
          hash_size: hash size
  
      Returns:
          int, hashed token
  
      """
      return murmurhash3_32(token, positive=True) % hash_size
  
imports: from collections import Counter
  from logging import getLogger
  from typing import List, Any, Generator, Tuple, KeysView, ValuesView, Dict, Optional
  import numpy
  import scipy
  from scipy import sparse
  from sklearn.utils import murmurhash3_32
  from deeppavlov.core.common.registry import register
  from deeppavlov.core.models.component import Component
  from deeppavlov.core.models.estimator import Estimator
label_desc: Use image node_id 1 for calling a global function with example usage: hash_(token, hash_size) and returns: unknown