code: def test_quadratic_minimizer(self):
      testcases = (
          Case(
              func_input=dict(
                  y_prime_a=-1,
                  x_a=0,
                  y_a=1,
                  x_b=1,
                  y_b=2,
              ),
              func_expected=0.25,
          ),
          Case(
              func_input=dict(
                  y_prime_a=-1,
                  x_a=1,
                  y_a=1,
                  x_b=2,
                  y_b=2,
              ),
              func_expected=1.25,
          ),
      )
  
      for testcase in testcases:
          actual_output = wolfe.quadratic_minimizer(
              **testcase.func_input
          )
          self.assertAlmostEqual(
              self.eval(actual_output),
              testcase.func_expected,
          )
  
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 6 for calling the WolfeInterpolationTestCase obj's underlying member method code with example usage: obj.test_quadratic_minimizer() without return types