def test_test_rand_weight(self):
constraint = 1.0
sample = [rand_weight() for i in range(1000)]
self.assertGreaterEqual(constraint, max(sample))
self.assertLessEqual(-constraint, min(sample))
constraint = 0.5
sample = [rand_weight(constraint) for i in range(1000)]
self.assertGreaterEqual(constraint, max(sample))
self.assertLessEqual(-constraint, min(sample))
def test_test_rand_weight(self):
constraint = 1.0
sample = [rand_weight() for i in range(1000)]
self.assertGreaterEqual(constraint, max(sample))
self.assertLessEqual(-constraint, min(sample))
constraint = 0.5
sample = [rand_weight(constraint) for i in range(1000)]
self.assertGreaterEqual(constraint, max(sample))
self.assertLessEqual(-constraint, min(sample))
def randomize(self, random_constraint=RANDOM_CONSTRAINT):
"""
This function assigns a random value to the input connections.
The random constraint limits the scope of random variables.
"""
for conn in self.input_connections:
conn.set_weight(rand_weight(random_constraint))
def randomize(self, random_constraint=RANDOM_CONSTRAINT):
"""
This function assigns a random value to the input connections.
The random constraint limits the scope of random variables.
"""
for conn in self.input_connections:
conn.set_weight(rand_weight(random_constraint))
