code: def test_golden_search_exceptions(self):
      invalid_parameters = (
          dict(tol=-1),
          dict(minstep=-1),
          dict(maxstep=-1),
          dict(maxiter=-1),
          dict(tol=0),
          dict(minstep=0),
          dict(maxstep=0),
          dict(maxiter=0),
      )
      for params in invalid_parameters:
          with self.assertRaises(ValueError):
              fmin_golden_search(lambda x: x, **params)
  
      with self.assertRaises(ValueError):
          fmin_golden_search(lambda x: x, minstep=10, maxstep=1)
  
imports: import tensorflow
  from neupy.algorithms.minsearch.golden_search import fmin_golden_search
  from base import BaseTestCase
label_desc: Use image node_id 1 for calling the GoldenSearchTestCase obj's underlying member method code with example usage: obj.test_golden_search_exceptions() without return types