class BrainRBFTest(unittest.TestCase): def setUp(self): self.brain = BrainRBF() def test_fuzz(self): print "RBF:" num_tests = 10000 ins = BrainRBF.G_INPUTNODES res = [0]*num_tests i = 0 while i < num_tests: self.brain.import_genes(map(lambda x: random.random()*x*2-1, [1] * (BrainRBF.G_GENES_NEEDED))) inputData = map(lambda x: random.random()*x, [1]*ins) inputData[0] = round(inputData[0]) # should be 1 or 0 inputData[4] = round(inputData[4]) # should be 1 or 0 if inputData[0] == 0 and inputData[4] == 0 : i = i-1 continue # no need to test on zero input, has default behaviour res[i] = self.brain.think(inputData) self.assertTrue(res[i][0] >= -1 and res[i][0] <= 1, "Value range invalid: %f" % (res[i][0])) self.assertTrue(res[i][1] >= -1 and res[i][1] <= 1, "Value range invalid: %f" % (res[i][1])) i = i+1 #print 'random weights, random input %d vs %d' % (len([ds for (ds,dr) in res if ds > 0]) , num_tests - len([ds for (ds,dr) in res if ds > 0])) self.assertTrue(len([ds for (ds,dr) in res if ds > 0]) / float(num_tests) > 0.45 and len([ds for (ds,dr) in res if ds > 0]) / float(num_tests) < 0.55, "fuzz testing gave abnormal distribution of results %f vs %f" %(len([ds for (ds,dr) in res if ds > 0]) / float(num_tests),len([ds for (ds,dr) in res if ds < 0]) / float(num_tests))) res_a = np.array(res) print "10th percentile: %f" % (np.percentile(res_a, 10)) print "25th percentile: %f" % (np.percentile(res_a, 25)) print "50th percentile: %f" % (np.percentile(res_a, 50)) print "75th percentile: %f" % (np.percentile(res_a, 75)) print "90th percentile: %f" % (np.percentile(res_a, 90)) def tearDown(self): pass
class BrainRBFTest(unittest.TestCase):
def setUp(self):
self.brain = BrainRBF()
def test_fuzz(self):
print "RBF:"
num_tests = 10000
ins = BrainRBF.G_INPUTNODES
res = [0] * num_tests
i = 0
while i < num_tests:
self.brain.import_genes(
map(lambda x: random.random() * x * 2 - 1,
[1] * (BrainRBF.G_GENES_NEEDED)))
inputData = map(lambda x: random.random() * x, [1] * ins)
inputData[0] = round(inputData[0]) # should be 1 or 0
inputData[4] = round(inputData[4]) # should be 1 or 0
if inputData[0] == 0 and inputData[4] == 0:
i = i - 1
continue # no need to test on zero input, has default behaviour
res[i] = self.brain.think(inputData)
self.assertTrue(res[i][0] >= -1 and res[i][0] <= 1,
"Value range invalid: %f" % (res[i][0]))
self.assertTrue(res[i][1] >= -1 and res[i][1] <= 1,
"Value range invalid: %f" % (res[i][1]))
i = i + 1
#print 'random weights, random input %d vs %d' % (len([ds for (ds,dr) in res if ds > 0]) , num_tests - len([ds for (ds,dr) in res if ds > 0]))
self.assertTrue(
len([ds for (ds, dr) in res if ds > 0]) / float(num_tests) > 0.45
and len([ds
for (ds, dr) in res if ds > 0]) / float(num_tests) < 0.55,
"fuzz testing gave abnormal distribution of results %f vs %f" %
(len([ds for (ds, dr) in res if ds > 0]) / float(num_tests),
len([ds for (ds, dr) in res if ds < 0]) / float(num_tests)))
res_a = np.array(res)
print "10th percentile: %f" % (np.percentile(res_a, 10))
print "25th percentile: %f" % (np.percentile(res_a, 25))
print "50th percentile: %f" % (np.percentile(res_a, 50))
print "75th percentile: %f" % (np.percentile(res_a, 75))
print "90th percentile: %f" % (np.percentile(res_a, 90))
def tearDown(self):
pass
def setUp(self):
self.brain = BrainRBF()
def setUp(self): self.brain = BrainRBF()
