def test_circuit_resistance():
circuit = Circuit()
battery = VoltageSource(circuit, 9) # 9 volts
resistor = Resistor(circuit, 10) # 1 ohm
battery.negative = resistor.positive
battery.positive = resistor.negative = circuit._ground
print circuit.graph.edges()
mna = circuit.assemble_mna_equation()
stuff = mna.simulate(10.0, 0.1)
circuit.draw()
plt.savefig('crkt1.png')
def test_circuit_parallel_resistor_capacitor():
circuit = Circuit()
battery = VoltageSource(circuit, 9)
resistor = Resistor(circuit, 1)
capacitor = Capacitor(circuit, 1e-1) # 1 microFarad
battery.negative = resistor.positive = capacitor.positive
battery.positive = resistor.negative = capacitor.negative = circuit._ground
mna = circuit.assemble_mna_equation()
stuff = mna.simulate_be(1e0, 1e-3, vars=[Var(battery.id, 'i')])
print mna.rev_idict
plt.plot(stuff)
plt.savefig('cap_par.png')
plt.figure()
circuit.draw()
plt.savefig('crkt3.png')
def test_circuit_capacitance():
circuit = Circuit()
battery = VoltageSource(circuit, 9)
resistor = Resistor(circuit, 1)
capacitor = Capacitor(circuit, 1e-1)
battery.positive = resistor.positive
resistor.negative = capacitor.positive
capacitor.negative = battery.negative = circuit._ground
mna = circuit.assemble_mna_equation()
stuff = mna.simulate_be(
1e0,
1e-3,
vars=[Var(resistor.negative, 'v'),
Var(resistor.positive, 'v')])
plt.plot(stuff)
plt.savefig('cap.png')
plt.figure()
circuit.draw()
plt.savefig('crkt2.png')
class Game:
def __init__(self):
pygame.init()
pygame.display.set_caption("Car tutorial")
width = 1280
height = 720
self.screen = pygame.display.set_mode((width, height))
self.clock = pygame.time.Clock()
self.ticks = 60
self.exit = False
self.circuit = Circuit(self.screen)
def run(self):
# current_dir = os.path.dirname(os.path.abspath(__file__))
# image_path = os.path.join(current_dir, "car.png")
# car_image = pygame.image.load(image_path)
Evo.setLearningPhase(1)
# MODIFIER LE NOMBRE DE VOITURE ICI POUR EN AVOIR QU UNE
NombreVoiture = 20
TabCar = []
populationNN = Evo.initPopulation(NombreVoiture)
generationCount = 1
while not self.exit:
allCarsCrashed = False
print(generationCount)
generationCount += 1
# REMPLACER RANDOM PAR LES COORD DE LA VOITURE SI UNIQUE VOITURE, SINON LES 5 AURONT LE MEME COMPORTEMENT ET SERONT INDIFFERENCIABLE
for i in range(0, NombreVoiture):
# TabCar.append(Car.Car(random.randint(70, 110), random.randint(80, 120)))
TabCar.append(Car.Car(100, 100, -90))
for j in range(0, NombreVoiture):
TabCar[j].setNeuralNetwork(populationNN[j])
self.clock = pygame.time.Clock()
Evo.setLearningPhase(0)
while (allCarsCrashed == False):
dt = self.clock.get_time() / 1000
# Event queue
for event in pygame.event.get():
if event.type == pygame.QUIT:
self.exit = True
# Mouvement de la voiture par IA
for c in TabCar:
if (c.canRun):
c.run(self.circuit.listObstacle, dt)
if (c.testCollision(self.circuit.listObstacle)):
c.stop(False)
elif (
self.isOutOfBounds(c)
): #si une voiture est sortie du circuit et de l'écran on la discalifie
c.stop(True)
# Mouvement de la voiture par l'utilisateur
"""
# User input
pressed = pygame.key.get_pressed()
if pressed[pygame.K_UP]:
if car.velocity.x < 0:
car.acceleration = car.brake_deceleration
else:
car.acceleration += 640 * dt
elif pressed[pygame.K_DOWN]:
if car.velocity.x > 0:
car.acceleration = -car.brake_deceleration
else:
car.acceleration -= 640 * dt
# elif pressed[pygame.K_SPACE]:
# if abs(car.velocity.x) > dt * car.brake_deceleration:
# car.acceleration = -copysign(car.brake_deceleration, car.velocity.x)
# else:
# car.acceleration = -car.velocity.x / dt'''
else:
if abs(car.velocity.x) > dt * car.free_deceleration:
car.acceleration = -copysign(car.free_deceleration, car.velocity.x)
else:
if dt != 0:
car.acceleration = -car.velocity.x / dt
car.acceleration = max(-car.max_acceleration, min(car.acceleration, car.max_acceleration))
if pressed[pygame.K_RIGHT]:
car.steering -= 300 * dt
elif pressed[pygame.K_LEFT]:
car.steering += 300 * dt
else:
car.steering = 0
car.steering = max(-car.max_steering, min(car.steering, car.max_steering))
"""
# Logic
allCarsCrashed = True
for c in TabCar:
c.update(dt)
if c.canRun == True:
allCarsCrashed = False
# Drawing
self.screen.fill((0, 0, 0))
for c in TabCar:
rotated = pygame.transform.rotate(c.image, c.angle)
# print (car.angle % 360)
# print(car.angle)
# print(car.position[0], car.position[1])
# Test des Sensor >>>
# print(self.circuit.listObstacle)
# print(car.sensors(self.circuit.listObstacle))
# car.sensors(self.circuit.listObstacle)
# car.testCollision(self.circuit.listObstacle)
rect = rotated.get_rect()
self.screen.blit(
rotated,
c.position - (rect.width / 2, rect.height / 2))
self.circuit.draw()
pygame.display.flip()
self.clock.tick(self.ticks)
Evo.setLearningPhase(1)
for x in range(0, NombreVoiture):
populationNN[x].setFitness(TabCar[x].getFitness())
populationNN = Evo.updateGeneration(populationNN, 0.4, 0.1, 0.4,
0.2)
TabCar.clear()
pygame.quit()
def isOutOfBounds(self, aCar):
if aCar.position.x < 0 or aCar.position.x > self.screen.get_width() \
or aCar.position.y < 0 or aCar.position.y > self.screen.get_height():
return True
# Verify correctness of the SUM3 circuit
from itertools import product
for x1, x2, x3 in product(range(2), repeat=3):
w0, w1 = sum3(x1, x2, x3)
assert x1 + x2 + x3 == w0 + 2 * w1
# Build a circuit for SUM5 out of SUM2 and SUM3 blocks
circuit = Circuit(input_labels=['x1', 'x2', 'x3', 'x4', 'x5'])
x1, x2, x3, x4, x5 = circuit.input_labels
a0, a1 = add_sum3(circuit, [x1, x2, x3])
b0, b1 = add_sum3(circuit, [a0, x4, x5])
w1, w2 = add_sum2(circuit, [a1, b1])
circuit.outputs = [b0, w1, w2]
check_sum_circuit(circuit)
circuit.draw('sum5')
# Find an optimum circuit for SUM3 using SAT-solvers
def sum_n(x):
return [(sum(x) >> i) & 1 for i in range(ceil(log2(len(x) + 1)))]
circuit_finder = CircuitFinder(dimension=3, number_of_gates=5, function=sum_n)
circuit = circuit_finder.solve_cnf_formula()
circuit.draw('sum3')
# Improve the SUM5 circuit of size 12
circuit = Circuit(input_labels=[f'x{i}' for i in range(1, 6)], gates={})
circuit.outputs = add_sum5_suboptimal(circuit, circuit.input_labels)
improved_circuit = improve_circuit(circuit, subcircuit_size=5, connected=True)