code: def assertAlmostEqual(self, left_value, right_value, places=6):
      if np.isnan(left_value) or np.isnan(right_value):
          self.assertTrue(
              np.isnan(left_value) and np.isnan(right_value)
          )
      else:
          super(WolfeInterpolationTestCase, self).assertAlmostEqual(
              left_value, right_value, places
          )
  
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 1 for calling the WolfeInterpolationTestCase obj's underlying member method code with example usage: obj.assertAlmostEqual(left_value, right_value, places) without return types