class_docstr: An accumulator object capable of computing NIST score using multiple references.
docstr: Create the scoring object.
  @param max_ngram: the n-gram level to compute the score for (default: 5)
  @param case_sensitive: use case-sensitive matching (default: no)
docstr_tok: ["Create","the","scoring","object",".","@","param","max_ngram",":","the","n-gram","level","to","compute","the","score","for","(","default",":","5",")","@","param","case_sensitive",":","use","case-sensitive","matching","(","default",":","no",")"]
code: def __init__(self, max_ngram=5, case_sensitive=False):
      """Create the scoring object.
      @param max_ngram: the n-gram level to compute the score for (default: 5)
      @param case_sensitive: use case-sensitive matching (default: no)
      """
      super(NISTScore, self).__init__(max_ngram, case_sensitive)
      self.reset()
  
imports: from __future__ import unicode_literals
  from __future__ import division
  from builtins import zip
  from builtins import range
  from past.utils import old_div
  from builtins import object
  from collections import defaultdict
  import math
  import re
label_desc: Use image node_id 1 to create a new NISTScore object from inherited base classes: NGramScore with example: obj = NISTScore(max_ngram, case_sensitive)