code: def test_quadratic_minimizer_exceptions(self):
      with self.assertRaises(ValueError):
          # Invalid value for parameter ``bound_size_ratio``
          wolfe.quadratic_minimizer(
              x_a=0,
              y_a=1,
              x_b=1,
              y_b=2,
              y_prime_a=-1,
              bound_size_ratio=2,
          )
  
file_path: neupy/tests/algorithms/minsearch/test_wolfe.py
imports: import operator
  from functools import reduce
  from collections import namedtuple
  from itertools import product
  import numpy
  from neupy.algorithms.minsearch import wolfe
  from base import BaseTestCase
label_desc: Use image node_id 5 for calling the WolfeInterpolationTestCase obj's underlying member method code with example usage: obj.test_quadratic_minimizer_exceptions() without return types