class Neuron_INVERT(unittest.TestCase):
"""Tests the Neuron class by building a INVERT logic gate Neuron"""
def setUp(self):
"""Prepares a INVERT-type Neuron."""
self.INVERT_Neuron = Neuron([-12], Sigmoid().activate, bias=6)
def test_INVERT_high(self):
"""Tests a scenario in which a Neuron - designed to be an INVERT port - returns a output as close as possible to high (1)"""
outcome = self.INVERT_Neuron.activate([0])
self.assertAlmostEqual(outcome, 1, 2)
def test_INVERT_low(self):
"""Tests a scenario in which a Neuron - designed to be an INVERT port - returns a output as close as possible to low (0)"""
outcome = self.INVERT_Neuron.activate([1])
self.assertAlmostEqual(outcome, 0, 2)
class Neuron_NOR(unittest.TestCase):
"""Tests the Neuron class by building a NOR logic gate Neuron"""
def setUp(self):
"""Prepares a NOR-type Neuron"""
self.NOR_Neuron = Neuron([-12, -12, -12], Sigmoid().activate, bias=6)
def test_NOR_high(self):
"""Tests a scenario in which a Neuron - designed to be an NOR port - returns a output as close as possible to high (1)"""
outcome = self.NOR_Neuron.activate([0, 0, 0])
self.assertAlmostEqual(outcome, 1, 2)
def test_NOR_low(self):
"""Tests some scenarios in which a Neuron - designed to be an NOR port - returns a output as close as possible to low (0)"""
outcome = self.NOR_Neuron.activate([1, 0, 0])
self.assertAlmostEqual(outcome, 0, 2)
outcome = self.NOR_Neuron.activate([0, 1, 0])
self.assertAlmostEqual(outcome, 0, 2)
outcome = self.NOR_Neuron.activate([1, 1, 0])
self.assertAlmostEqual(outcome, 0, 2)
outcome = self.NOR_Neuron.activate([0, 0, 1])
self.assertAlmostEqual(outcome, 0, 2)
outcome = self.NOR_Neuron.activate([1, 0, 1])
self.assertAlmostEqual(outcome, 0, 2)
outcome = self.NOR_Neuron.activate([0, 1, 1])
self.assertAlmostEqual(outcome, 0, 2)
from Activation import Sigmoid
from Neuron import Neuron
AND_Neuron_wrong = Neuron([0.5, 0.5], Sigmoid().activate, bias=-1)
print("Should be high (1):")
outcome = AND_Neuron_wrong.activate([1, 1])
print("Input [1,1] gives {}".format(outcome))
print("")
print("Should be low (0):")
outcome = AND_Neuron_wrong.activate([1, 0])
print("Input [1,0] gives {}".format(outcome))
outcome = AND_Neuron_wrong.activate([0, 1])
print("Input [0,1] gives {}".format(outcome))
outcome = AND_Neuron_wrong.activate([0, 0])
print("Input [0,0] gives {}".format(outcome))
from Activation import Sigmoid
from Neuron import Neuron
INVERTER_Neuron_wrong = Neuron([-1], Sigmoid().activate)
print("Should be high (1):")
outcome = INVERTER_Neuron_wrong.activate([0])
print("Input [0] gives {}".format(outcome))
print("")
print("Should be low (0):")
outcome = INVERTER_Neuron_wrong.activate([1])
print("Input [1] gives {}".format(outcome))
