code: def test_sequential_or(self):
      for input_values in product([False, True], repeat=4):
          expected_value = reduce(operator.or_, input_values)
          actual_value = self.eval(wolfe.sequential_or(*input_values))
          self.assertEqual(expected_value, actual_value)
  
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 4 for calling the WolfeInterpolationTestCase obj's underlying member method code with example usage: obj.test_sequential_or() without return types