def test_connection_adds_to_incoming_and_outgoing_arrays(self):
neuron = Neuron(input=0)
neuron_2 = Neuron()
neuron.connect_child(neuron_2, weight=1)
# Make sure there's only one connection back and forth
assert [neuron == connection.neuron for connection in neuron_2.incoming].count(True) == 1
assert [neuron_2 == connection.neuron for connection in neuron.outgoing].count(True) == 1
def test_activate_applies_proper_math_over_many_neurons(self):
neuron = Neuron(input=0)
neuron_2 = Neuron()
neuron.connect_child(neuron_2, weight=1)
neuron_2.activate()
# sucks comparing floats in python apparently, absolute difference check
assert abs(neuron_2.output - 0.622459331202) < 0.000000001
def test_activate_applies_proper_math(self):
'''Let's make sure the sigmoid function is working properly, 0 * 0 weight should be 0.5'''
neuron = Neuron(input=0)
neuron.activate()
assert neuron.output == 0.5