class BrainLinearTest(unittest.TestCase):
def setUp(self):
self.brain = BrainLinear()
def test_zeroed_brain(self):
ins = BrainLinear.G_INPUTNODES
self.brain.import_genes([0] * BrainLinear.G_TOTAL_CONNECTIONS)
#print "Zeroed tests:"
self.assertEqual(self.brain.think([0] * ins), (0.005, 0),
'Output when detecting nothing is incorrect.')
self.assertEqual(self.brain.think([1] * ins), (0, 0),
'Output with full input incorrect.')
self.assertEqual(self.brain.think([1] * (ins / 2) + [0] * (ins / 2)),
(0, 0), 'Output with full input to left incorrect.')
self.assertEqual(self.brain.think([0] * (ins / 2) + [1] * (ins / 2)),
(0, 0), ' Output with full input to right incorrect.')
self.assertEqual(self.brain.think([1] * 2 + [0] * (ins - 2)), (0, 0),
'Output when not detecting 1 color incorrect.')
self.assertEqual(self.brain.think([1] + [0] + [1] + [0] * (ins - 3)),
(0, 0),
'Output when not detecting 1 color incorrect.')
self.assertEqual(
self.brain.think([1] + [0] * 2 + [1] + [0] * (ins - 4)), (0, 0),
'Output when not detecting 1 color incorrect.')
self.assertEqual(self.brain.think([0] * (ins / 2) + [1] * 2 + [0] * 2),
(0, 0),
'Output when not detecting 1 color incorrect.')
self.assertEqual(
self.brain.think([0] * (ins / 2) + [1] + [0] + [1] + [0]), (0, 0),
'Output when not detecting 1 color incorrect.')
self.assertEqual(
self.brain.think([0] * (ins / 2) + [1] + [0] * 2 + [1]), (0, 0),
'Output when not detecting 1 color incorrect.')
def test_left_antenna(self):
ins = BrainLinear.G_INPUTNODES
self.brain.import_genes([1] * (BrainLinear.G_TOTAL_CONNECTIONS / 2) +
[0] * (BrainLinear.G_TOTAL_CONNECTIONS / 2))
#print "Left tests:"
# self.assertEqual(self.brain.think([0] * ins), (0.005,0), 'Output when detecting nothing is incorrect.')
# self.assertEqual(self.brain.think([1] * ins), (1.0,1.0), 'Output with full input incorrect.')
# self.assertEqual(self.brain.think([1] * (ins/2) + [0] * (ins/2)), (0.5,0.5), 'Output with full input to left incorrect.')
# self.assertEqual(self.brain.think([0] * (ins/2) + [1] * (ins/2)), (0,0), 'Output with full input to right incorrect.')
# self.assertEqual(self.brain.think([1] * 2 + [0] * (ins - 2)), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([1] + [0] + [1] + [0] * (ins - 3)), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([1] + [0] * 2 + [1] + [0] * (ins - 4)), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([0] * (ins / 2) + [1] * 2 + [0] * 2), (0,0), 'Output when not detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] + [1] + [0]), (0,0), 'Output when not detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] * 2 + [1]), (0,0), 'Output when not detecting 1 color incorrect.')
def test_right_antenna(self):
ins = BrainLinear.G_INPUTNODES
self.brain.import_genes([0] * (BrainLinear.G_TOTAL_CONNECTIONS / 2) +
[1] * (BrainLinear.G_TOTAL_CONNECTIONS / 2))
#print "Right tests:"
# self.assertEqual(self.brain.think([0] * ins), (0.005,0), 'Output when detecting nothing is incorrect.')
# self.assertEqual(self.brain.think([1] * ins), (0.5,0.5), 'Output with full input incorrect.')
# self.assertEqual(self.brain.think([1] * (ins/2) + [0] * (ins/2)), (0,0), 'Output with full input to left incorrect.')
# self.assertEqual(self.brain.think([0] * (ins/2) + [1] * (ins/2)), (0.5,0.5), 'Output with full input to right incorrect.')
# self.assertEqual(self.brain.think([1] * 2 + [0] * (ins - 2)), (0,0), 'Output when not detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([1] + [0] + [1] + [0] * (ins - 3)), (0,0), 'Output when not detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([1] + [0] * 2 + [1] + [0] * (ins - 4)), (0,0), 'Output when not detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([0] * (ins / 2) + [1] * 2 + [0] * 2), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] + [1] + [0]), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.')
# self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] * 2 + [1]), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.')
def test_fuzz(self):
print "Linear:"
num_tests = 10000
ins = BrainLinear.G_INPUTNODES
res = [0] * num_tests
for i in xrange(num_tests):
self.brain.import_genes(
map(lambda x: random.random() * x * 2 - 1,
[1] * (BrainLinear.G_TOTAL_CONNECTIONS + 3)))
res[i] = self.brain.think(
map(lambda x: random.random() * x, [1] * ins))
a = res[i]
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]))
#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")
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):
del self.brain
def setUp(self): self.brain = BrainLinear()
def setUp(self):
self.brain = BrainLinear()
class BrainLinearTest(unittest.TestCase): def setUp(self): self.brain = BrainLinear() def test_zeroed_brain(self): ins = BrainLinear.G_INPUTNODES self.brain.import_genes([0] * BrainLinear.G_TOTAL_CONNECTIONS) #print "Zeroed tests:" self.assertEqual(self.brain.think([0] * ins), (0.005,0), 'Output when detecting nothing is incorrect.') self.assertEqual(self.brain.think([1] * ins), (0,0), 'Output with full input incorrect.') self.assertEqual(self.brain.think([1] * (ins/2) + [0] * (ins/2)), (0,0), 'Output with full input to left incorrect.') self.assertEqual(self.brain.think([0] * (ins/2) + [1] * (ins/2)), (0,0), ' Output with full input to right incorrect.') self.assertEqual(self.brain.think([1] * 2 + [0] * (ins - 2)), (0,0), 'Output when not detecting 1 color incorrect.') self.assertEqual(self.brain.think([1] + [0] + [1] + [0] * (ins - 3)), (0,0), 'Output when not detecting 1 color incorrect.') self.assertEqual(self.brain.think([1] + [0] * 2 + [1] + [0] * (ins - 4)), (0,0), 'Output when not detecting 1 color incorrect.') self.assertEqual(self.brain.think([0] * (ins / 2) + [1] * 2 + [0] * 2), (0,0), 'Output when not detecting 1 color incorrect.') self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] + [1] + [0]), (0,0), 'Output when not detecting 1 color incorrect.') self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] * 2 + [1]), (0,0), 'Output when not detecting 1 color incorrect.') def test_left_antenna(self): ins = BrainLinear.G_INPUTNODES self.brain.import_genes([1] * (BrainLinear.G_TOTAL_CONNECTIONS / 2) + [0] * (BrainLinear.G_TOTAL_CONNECTIONS / 2)) #print "Left tests:" # self.assertEqual(self.brain.think([0] * ins), (0.005,0), 'Output when detecting nothing is incorrect.') # self.assertEqual(self.brain.think([1] * ins), (1.0,1.0), 'Output with full input incorrect.') # self.assertEqual(self.brain.think([1] * (ins/2) + [0] * (ins/2)), (0.5,0.5), 'Output with full input to left incorrect.') # self.assertEqual(self.brain.think([0] * (ins/2) + [1] * (ins/2)), (0,0), 'Output with full input to right incorrect.') # self.assertEqual(self.brain.think([1] * 2 + [0] * (ins - 2)), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.') # self.assertEqual(self.brain.think([1] + [0] + [1] + [0] * (ins - 3)), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.') # self.assertEqual(self.brain.think([1] + [0] * 2 + [1] + [0] * (ins - 4)), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.') # self.assertEqual(self.brain.think([0] * (ins / 2) + [1] * 2 + [0] * 2), (0,0), 'Output when not detecting 1 color incorrect.') # self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] + [1] + [0]), (0,0), 'Output when not detecting 1 color incorrect.') # self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] * 2 + [1]), (0,0), 'Output when not detecting 1 color incorrect.') def test_right_antenna(self): ins = BrainLinear.G_INPUTNODES self.brain.import_genes([0] * (BrainLinear.G_TOTAL_CONNECTIONS / 2) + [1] * (BrainLinear.G_TOTAL_CONNECTIONS / 2)) #print "Right tests:" # self.assertEqual(self.brain.think([0] * ins), (0.005,0), 'Output when detecting nothing is incorrect.') # self.assertEqual(self.brain.think([1] * ins), (0.5,0.5), 'Output with full input incorrect.') # self.assertEqual(self.brain.think([1] * (ins/2) + [0] * (ins/2)), (0,0), 'Output with full input to left incorrect.') # self.assertEqual(self.brain.think([0] * (ins/2) + [1] * (ins/2)), (0.5,0.5), 'Output with full input to right incorrect.') # self.assertEqual(self.brain.think([1] * 2 + [0] * (ins - 2)), (0,0), 'Output when not detecting 1 color incorrect.') # self.assertEqual(self.brain.think([1] + [0] + [1] + [0] * (ins - 3)), (0,0), 'Output when not detecting 1 color incorrect.') # self.assertEqual(self.brain.think([1] + [0] * 2 + [1] + [0] * (ins - 4)), (0,0), 'Output when not detecting 1 color incorrect.') # self.assertEqual(self.brain.think([0] * (ins / 2) + [1] * 2 + [0] * 2), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.') # self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] + [1] + [0]), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.') # self.assertEqual(self.brain.think([0] * (ins / 2) + [1] + [0] * 2 + [1]), (0.5/3,0.5/3), 'Output when only detecting 1 color incorrect.') def test_fuzz(self): print "Linear:" num_tests = 10000 ins = BrainLinear.G_INPUTNODES res = [0]*num_tests for i in xrange(num_tests) : self.brain.import_genes(map(lambda x: random.random()*x*2-1, [1]*(BrainLinear.G_TOTAL_CONNECTIONS+3))) res[i] = self.brain.think(map(lambda x: random.random()*x, [1]*ins)) a = res[i] 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])) #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") 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): del self.brain