def testErrorChecks(self):
params1 = RDSE_Parameters()
params1.size = 100
params1.sparsity = .10
params1.radius = 10
R1 = RDSE(params1)
A = SDR([10, 10])
R1.encode(33, A)
# Test wrong input dimensions
B = SDR(1)
with self.assertRaises(RuntimeError):
R1.encode(3, B)
# Test invalid parameters, size == 0
params1.size = 0
with self.assertRaises(RuntimeError):
RDSE(params1)
params1.size = 100
# Test invalid parameters, activeBits == 0
params1.activeBits = 0
params1.sparsity = 0.00001 # Rounds to zero!
with self.assertRaises(RuntimeError):
RDSE(params1)
# Test missing activeBits
params2 = RDSE_Parameters()
params2.size = 100
params2.radius = 10
with self.assertRaises(RuntimeError):
RDSE(params2)
# Test missing resolution/radius
params3 = RDSE_Parameters()
params3.size = 100
params3.activeBits = 10
with self.assertRaises(RuntimeError):
RDSE(params3)
# Test too many parameters: activeBits & sparsity
params4 = RDSE_Parameters()
params4.size = 100
params4.sparsity = .6
params4.activeBits = 10
params4.radius = 4
with self.assertRaises(RuntimeError):
RDSE(params4)
# Test too many parameters: resolution & radius
params5 = RDSE_Parameters()
params5.size = 100
params5.activeBits = 10
params5.radius = 4
params5.resolution = 4
with self.assertRaises(RuntimeError):
RDSE(params5)
def testRadiusResolution(self):
""" Check that these arguments are equivalent. """
# radius -> resolution
P = RDSE_Parameters()
P.size = 2000
P.activeBits = 100
P.radius = 12
R = RDSE(P)
self.assertAlmostEqual(R.parameters.resolution, 12. / 100, places=5)
# resolution -> radius
P = RDSE_Parameters()
P.size = 2000
P.activeBits = 100
P.resolution = 12
R = RDSE(P)
self.assertAlmostEqual(R.parameters.radius, 12 * 100, places=5)
# Moving 1 resolution moves 1 bit (usually)
P = RDSE_Parameters()
P.size = 2000
P.activeBits = 100
P.resolution = 3.33
P.seed = 42
R = RDSE(P)
sdrs = []
for i in range(100):
X = i * (R.parameters.resolution)
sdrs.append(R.encode(X))
print("X", X, sdrs[-1])
moved_one = 0
moved_one_samples = 0
for A, B in zip(sdrs, sdrs[1:]):
delta = A.getSum() - A.getOverlap(B)
if A.getSum() == B.getSum():
assert (delta < 2)
moved_one += delta
moved_one_samples += 1
assert (moved_one >= .9 * moved_one_samples)