docstr: Computes hash based on `bytez`.
  
  Args:
      bytez: The byte to hash
  
  Returns:
      The hash of the string.
docstr_tok: ["Computes","hash","based","on","`","bytez","`",".","Args",":","bytez",":","The","byte","to","hash","Returns",":","The","hash","of","the","string","."]
code: def ft_hash_bytes(self, bytez: bytes) -> int:
      """Computes hash based on `bytez`.
  
      Args:
          bytez: The byte to hash
  
      Returns:
          The hash of the string.
  
      """
      h = 2166136261
      for b in bytez:
          h = h ^ b
          h = h * 16777619
      return h
  
imports: from __future__ import annotations
  import re
  from typing import Any, List
  import attr
  import numpy
  from gensim.models.fasttext import FastText
  from gensim.models.fasttext import FastTextKeyedVectors
  from numpy import float32
  from numpy import ones
  from pyrdf2vec.embedders import Embedder
  from pyrdf2vec.typings import Embeddings, Entities, SWalk
label_desc: Use image node_id 5 for calling the RDFFastTextKeyedVectors obj's underlying member method code with example usage: obj.ft_hash_bytes(bytez) and returns: h