code: def entropy(doc_or_tokens: types.DocOrTokens) -> float:
      """
      Compute the entropy of words in a document.
  
      Args:
          doc_or_tokens: If a spaCy ``Doc``, non-punctuation tokens (words) are extracted;
              if an iterable of spaCy ``Token`` s, all non-punct elements are used.
      """
      words = utils.get_words(doc_or_tokens)
      word_counts = itertoolz.frequencies(word.text for word in words)
      n_words = sum(word_counts.values())
      probs = (count / n_words for count in word_counts.values())
      return -sum(prob * math.log2(prob) for prob in probs)
  
imports: from __future__ import annotations
  import functools
  import logging
  import math
  from typing import Optional
  import spacy.pipeline
  from cytoolz import itertoolz
  from spacy.tokens import Doc
  from ..None import types
  from .None import utils
label_desc: Use image node_id 11 for calling a global function with example usage: entropy(doc_or_tokens) and returns: unknown