code: def count(ngram, hash_size, doc_id):
      """
      Fetch the text of a document and compute hashed ngrams counts.
      """
      return count_text(
          ngram, hash_size, doc_id, text=fetch_text(doc_id)
      )
  
imports: import numpy
  import scipy.sparse
  import math
  from multiprocessing import Pool
  from multiprocessing.util import Finalize
  from functools import partial
  from collections import Counter
  from .None import utils
  from .doc_db import DocDB
  from .None import tokenizers
  import parlai.utils.logging
label_desc: Use image node_id 6 for calling a global function with example usage: count(ngram, hash_size, doc_id) and returns: count_text