code: def test_quasi_newton_sr1_overfit(self):
      self.assertCanNetworkOverfit(
          partial(
              algorithms.QuasiNewton,
              update_function="sr1",
              verbose=False,
              epsilon=1e-5,
          ),
          epochs=250,
          min_accepted_loss=0.002,
      )
  
imports: from functools import partial
  from collections import namedtuple
  import numpy
  from sklearn import metrics
  from neupy.utils import asfloat
  from neupy import algorithms, layers, init
  from neupy.algorithms.gd import quasi_newton
  from helpers import simple_classification
  from base import BaseTestCase
label_desc: Use image node_id 8 for calling the QuasiNewtonTestCase obj's underlying member method code with example usage: obj.test_quasi_newton_sr1_overfit() without return types