class_docstr: The result of a duality gap computation.
code: def gap(self):
      return max(self.L - self.L_low, self.L_high - self.L)
  
imports: import logging
  from time import time
  import numpy
  import pandas
  import scipy.optimize
  from sklearn import clone
  from sklearn.dummy import DummyClassifier
  from fairlearn.reductions._moments import ClassificationMoment
  from ._constants import _INDENTATION, _LINE, _PRECISION
label_desc: Use image node_id 2 for calling the _GapResult obj's underlying member method code with example usage: obj.gap() and returns: max