def __init__(self, width: float, height: float):
super(Rectangle, self).__init__()
self.__position = Point2D(0, 0)
self.__rotation_in_radians = 0
self.__center = Point2D(0, 0)
self.width = width
self.height = height
def points(self) -> List[Point2D]:
p1 = self.__position + Point2D(-self.width / 2, -self.height / 2)
p2 = self.__position + Point2D(self.width / 2, -self.height / 2)
p3 = self.__position + Point2D(self.width / 2, self.height / 2)
p4 = self.__position + Point2D(-self.width / 2, self.height / 2)
return [
p1.rotate(self.__position, self.__rotation_in_radians),
p2.rotate(self.__position, self.__rotation_in_radians),
p3.rotate(self.__position, self.__rotation_in_radians),
p4.rotate(self.__position, self.__rotation_in_radians)
]
def __init__(self, track, width: float, length: float, center: Point2D,
tipo: int, n, x, ponderacio):
self.__ponderacio = ponderacio
self.__track = track
self.__bounds = Rectangle(width, length)
self.__bounds.center = center
self.speed_in_meters_per_sec = 20
#self.speed_in_meters_per_sec = 0.0001
self.__tipo = tipo # 0 si el duc jo, 1 si el du sa xarxa
self.__collision_time = 0
self.steer = 0
self.__collision = False
angles = [45, 65, 75, 85, 90, 95, 105, 115, 135]
angle_ini = 10
num_angles = self.get_num_angles()
# se generan los angulos para hallar las colisiones, angulo de orientacion de los sensores
# 90 es dirección que circula el coche
angles = [
angle_ini + (x * (180 - angle_ini * 2) / (num_angles - 1))
for x in range(0, num_angles)
]
self.__collision_distance = 150
self.__vectors = [
Point2D(
math.sin(angle / 180 * math.pi) * self.__collision_distance,
math.cos(angle / 180 * math.pi) * self.__collision_distance)
for angle in angles
]
self.__collision_points = [Point2D(0, 0) for v in self.__vectors]
self.__collision_distances = [0] * len(self.__vectors)
self.__current_segment = 0
self.__distance = 0
self.__total_segment_distance = 0
#self._net = Network([Car.get_num_angles(), 25, 2])
self._net = x
self.__laps = 0
self.__current_speed = 3
self.number = 0
self.__carTemps = 0
#self.__guardarAngles=[]
#self.__recorregut=[]
#self.__angle=[]
self.__teclat = 0
self.__guardarTeclat = []
self.__vel = 0
self.__SensorCentral = [8] * 10
self.__memoriaSensorCentral = []
def line_intersection(p1: Point2D, p2: Point2D, p3: Point2D, p4: Point2D):
xdiff = Point2D(p1.x - p2.x, p3.x - p4.x)
ydiff = Point2D(p1.y - p2.y, p3.y - p4.y) #Typo was here
def det(a, b):
return a.x * b.y - a.y * b.x
div = det(xdiff, ydiff)
if div == 0:
return None
d = Point2D(det(p1, p2), det(p3, p4))
x = det(d, xdiff) / div
y = det(d, ydiff) / div
return Point2D(x, y)
def __init__(self, n):
self.__points = CarregarCircuit(n).points()
widths = CarregarCircuit(n).widths()
self._segments = []
parray = []
for i in range(0, len(self.__points)):
p0 = self.__points[i]
j = (i + 1) % len(self.__points)
p1 = self.__points[j]
k = (i + 2) % len(self.__points)
p2 = self.__points[k]
v0 = (p1 - p0).unitary()
v1 = (p2 - p1).unitary()
vf = (v0 + v1).unitary()
vn = Point2D(vf.y, -vf.x)
width = widths[i]
pn1 = p1 + vn.mul_by_value(width)
pn2 = p1 - vn.mul_by_value(width)
parray.append((pn1, pn2))
wall_width = 0.5
for i in range(0, len(parray)):
j = (i + 1) % len(parray)
p0 = parray[i][0]
p1 = parray[i][1]
p2 = parray[j][0]
p3 = parray[j][1]
self._segments.append(Segment(p0, p1, p2, p3, wall_width))
obstacles = CarregarObstacle(n).lista()
for i in obstacles:
self._segments[0].collisionRegions.append(Polygon(i))
def __init__(self, track, width: float, length: float, center: Point2D,
tipo: int, n):
self.__track = track
self.__bounds = Rectangle(width, length)
self.__bounds.center = center
self.speed_in_meters_per_sec = 20
self.__tipo = tipo # 0 si el duc jo, 1 si el du sa xarxa
self.steer = 0
self.__collision = False
angles = [45, 65, 75, 85, 90, 95, 105, 115, 135]
angle_ini = 10
num_angles = self.get_num_angles()
angles = [
angle_ini + (x * (180 - angle_ini * 2) / (num_angles - 1))
for x in range(0, num_angles)
]
self.__collision_distance = 150
self.__vectors = [
Point2D(
math.sin(angle / 180 * math.pi) * self.__collision_distance,
math.cos(angle / 180 * math.pi) * self.__collision_distance)
for angle in angles
]
self.__collision_points = [Point2D(0, 0) for v in self.__vectors]
self.__collision_distances = [0] * len(self.__vectors)
self.__current_segment = 0
self.__distance = 0
self.__total_segment_distance = 0
#self._net = Network([CarUsuari.get_num_angles(), 25, 2])
#self._net = NetworkAmbSensors([CarUsuari.get_num_angles(), 25, 2])
self._net = n
self.__laps = 0
self.__current_speed = 5
self.number = 0
self.__teclat = 0
self.__guardarTeclat = []
self.__tempsCar = 0
self.__SensorCentral = [8] * 10
self.__memoriaSensorCentral = []
def are_colliding(shape1: Shape, shape2: Shape) -> bool:
if not shape1.overlaps(shape2):
return False
direction = Point2D(1, 1)
c = _support(direction, shape1, shape2)
simplex = [c]
direction = -c
origin = Point2D(0, 0)
step = 1
while True:
b = _support(direction, shape1, shape2)
if b.dot_product(direction) < 0:
return False
simplex.append(b)
if len(simplex) == 3:
if Triangle(simplex[0], simplex[1], simplex[2]).contains(origin):
return True
simplex, direction = _do_simplex(simplex)
step += 1
if step > 1000:
return False
def colocar(self, x, y, angle, vel):
self.__bounds.position = Point2D(x, y)
self.__bounds.rotation_in_radians = angle
#print(self.__current_speed)
if vel == 1:
self.__current_speed = self.__current_speed + 5 * 0.03
else:
if vel == 0:
self.__current_speed = self.__current_speed - 5 * 0.03
self.compute_collision_points()
def simulate(self, elapsed_time: float):
# calculamos la nueva posicion
cos = math.cos(self.__bounds.rotation_in_radians)
sin = math.sin(self.__bounds.rotation_in_radians)
mov = Point2D(cos * elapsed_time * self.current_speed,
sin * elapsed_time * self.current_speed)
self.__bounds.position = self.__bounds.position + mov
#nou
#self.__guardarAngles.append(self.__bounds.rotation_in_radians)
#self.__recorregut.append(self.__bounds.position)
# calculamos los puntos de colision
self.compute_collision_points()
def advanced(self, point: Point2D) -> Point2D:
projection_point = line_intersection(self.p1, self.p2, self.p3, self.p4)
if projection_point is None:
width_ini = (self.p2 - self.p1).length()
width_end = (self.p4 - self.p3).length()
width_max = max(width_ini, width_end)
v = self._direction.unitary()
v = Point2D(v.y, -v.x).mul_by_value(width_max * 2)
point_a = point + v
point_b = point - v
intersection = segment_intersection(self._point_ini, self._point_end, point_a, point_b)
return intersection
else:
# no son paraleles
return line_intersection(projection_point, point, self._point_ini, self._point_end)
def maxPoint(self) -> Point2D:
if self._maxPoint is None:
ps = self.points
self._maxPoint = Point2D(max([p.x for p in ps]),
max([p.y for p in ps]))
return self._maxPoint
def compute_collision_points(self):
'''
Compute collision points, like the car have distance sensors, and detect the points where will collide
:return: no returns
'''
rot = self.bounds.rotation_in_radians
self.__collision_points = []
self.__collision_distances = []
for vector in self.vectors:
# para cada sensor calculamos un segmento (p0-p1) que representa el haz para detectar un obstáculo
vector = vector.rotate(Point2D(0, 0), rot)
p0 = Point2D(self.bounds.position.x, self.bounds.position.y)
p1 = Point2D(self.bounds.position.x + vector.x,
self.bounds.position.y + vector.y)
# inicialmente no ha detectado nada
min_distance = self.__collision_distance + 1
min_point = None
# para cada segmento
# num = 5
# num_segments = len(self.__track.segments)
# seg = (self.__current_segment - num + num_segments) % num_segments
# seg_fin = (self.__current_segment + num + num_segments + 1) % num_segments
for s in self.__track.segments:
#while seg != seg_fin:
# para cada region de colision
# s = self.__track.segments[seg]
# seg = (seg + 1) % num_segments
for cr in s.collisionRegions:
points = cr.points
numPoints = len(points)
for x in range(0, numPoints):
cr1 = points[x]
cr2 = points[(x + 1) % numPoints]
intersection = segment_intersection(p0, p1, cr1, cr2)
if intersection is not None:
distance = (intersection -
self.bounds.position).length()
if distance < min_distance:
min_distance = distance
min_point = intersection
'''
# de todas las colisiones nos quedamos con la más cercana
# buscamos si colisiona con el borde izquierdo
intersection = segment_intersection(p0, p1, s.p1, s.p3)
if intersection is not None:
distance = (intersection - self.bounds.position).length()
if distance < min_distance:
min_distance = distance
min_point = intersection
# buscamos si colisiona con el borde derecho
intersection = segment_intersection(p0, p1, s.p2, s.p4)
if intersection is not None:
distance = (intersection - self.bounds.position).length()
if distance < min_distance:
min_distance = distance
min_point = intersection
'''
if min_point is not None:
# Ha habido colision
self.__collision_points.append(min_point)
self.__collision_distances.append(min_distance)
else:
# No ha habido colision, nos quedamos con el punto final del segmento
self.__collision_points.append(p1)
self.__collision_distances.append(min_distance)
def llistes(self, x, y, w):
for i in range(len(x)):
self.__points.append(Point2D(float(x[i]), float(y[i])))
self.__widths.append(float(w[i]))
return self.__points, self.__widths
def __init__(self, points: List[Point2D]):
super(Polygon, self).__init__()
self._points = []
for p in points:
self._points.append(Point2D(round(p.x, 2), round(p.y, 2)))
def __init__(self, n):
self.__lista = []
if n == 8:
self.__lista.append([
Point2D(36, 23),
Point2D(30, 23),
Point2D(33, 19),
Point2D(36, 19)
])
self.__lista.append([
Point2D(60, 20),
Point2D(66, 20),
Point2D(66, 26),
Point2D(60, 26)
])
self.__lista.append(
[Point2D(127, 60),
Point2D(129, 53),
Point2D(131, 56)])
self.__lista.append([
Point2D(60, 100),
Point2D(64, 100),
Point2D(64, 103),
Point2D(62, 103)
])
self.__lista.append([
Point2D(60, 43),
Point2D(64, 44),
Point2D(64, 45),
Point2D(60, 51)
])
self.__lista.append(
[Point2D(82, 106),
Point2D(96, 104),
Point2D(93, 108)])
if n == 10:
self.__lista.append(
[Point2D(38, 102),
Point2D(44, 106),
Point2D(64, 103)])
self.__lista.append(
[Point2D(72, 75),
Point2D(79, 75),
Point2D(76, 70)])
self.__lista.append([
Point2D(106, 20),
Point2D(110, 18),
Point2D(112, 23),
Point2D(109, 27),
Point2D(105, 26)
])
if n == 3:
self.__lista.append(
[Point2D(70, 122),
Point2D(85, 120),
Point2D(70, 115)])
self.__lista.append(
[Point2D(70, 103),
Point2D(85, 103),
Point2D(70, 110)])
if n == 12:
self.__lista.append([
Point2D(70, -9),
Point2D(50, -1),
Point2D(40, -7),
Point2D(40, -9),
Point2D(55, -12)
])
self.__lista.append([
Point2D(70, -18),
Point2D(55, -27),
Point2D(40, -18),
Point2D(55, -16)
])
self.__lista.append([
Point2D(30, -23),
Point2D(36, -30),
Point2D(46, -28),
Point2D(40, -24),
Point2D(35, -20)
])
self.__lista.append(
[Point2D(29, 79),
Point2D(36, 83),
Point2D(50, 79)])
self.__lista.append(
[Point2D(32, 75),
Point2D(36, 71),
Point2D(50, 75)])
self.__lista.append([
Point2D(30, 95),
Point2D(36, 91),
Point2D(40, 95),
Point2D(36, 100)
])
self.__lista.append([
Point2D(45, 105),
Point2D(66, 115),
Point2D(80, 116),
Point2D(90, 105),
Point2D(66, 101)
])
if n == 15:
self.__lista.append(
[Point2D(56, 47),
Point2D(72, 44),
Point2D(55, 57)])
self.__lista.append([
Point2D(120, 85),
Point2D(127, 90),
Point2D(129, 77),
Point2D(120, 78)
])