class_docstr: The result of a duality gap computation.
code: def __init__(self, L, L_low, L_high, gamma, error):
      self.L = L
      self.L_low = L_low
      self.L_high = L_high
      self.gamma = gamma
      self.error = error
  
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 1 to create a new _GapResult object  with example: obj = _GapResult(L, L_low, L_high, gamma, error)