def init(self):
if self.parameter is None:
self.parameter = 0
self.agent.position = Vec2d(10, 10)
self.agent.goal = Vec2d(*self.world.size) - self.agent.position
self.agent.angle = (self.agent.goal - self.agent.position).angle()
rects = []
for j in xrange(2):
for i in xrange(4):
r = obstacle.Rectangle((i + 1) * 50 + 100 * i, (j + 1) * 100 + 120 * j - 50, 100, 120)
rects.append(r)
self.world.add_obstacle(r)
for i in xrange(self.parameter):
good = False
u = RandomWalkingAvoider()
while not good: # generate random positions for pedestrians that are not inside obstacles...
init_position = Vec2d(random.randrange(u.radius + 1, self.world.size[0] - u.radius - 1),
random.randrange(u.radius + 1, self.world.size[1] - u.radius - 1))
good = init_position.distance_to(self.agent.position) > 20
for r in rects:
if not good:
break
good = good and not r._rect.inflate(u.radius * 3, u.radius * 3).collidepoint(init_position)
u.position = init_position
self.world.add_unit(u)
def init(self):
if self.parameter is None:
self.parameter = 10
self.agent.position = Vec2d(200, 200)
self.agent.goal = Vec2d(400, 200)
self.agent.angle = 0
shapes = [
[
Vec2d(100, 100),
Vec2d(100, 380),
Vec2d(500, 380),
Vec2d(500, 100),
Vec2d(100, 100),
],
[
Vec2d(300, 100),
Vec2d(300, 250),
],
[
Vec2d(200, 250),
Vec2d(400, 250),
]
]
for shape in shapes:
last = shape[0]
for point in shape:
self.world.add_obstacle(obstacle.Line(last, point))
last = point
for m in xrange(self.parameter):
good = False
u = RandomWalkingAvoider(random_seed=self.random.random())
# generate random positions for pedestrians
# that are not inside obstacles...
while not good:
init_position = Vec2d(
self.random.randrange(100 + u.radius + 1, 500 - u.radius - 1),
self.random.randrange(100 + u.radius + 1, 380 - u.radius - 1),
)
good = init_position.distance_to(self.agent.position) > 20
for shape in shapes:
last = shape[0]
for point in shape:
if linesegdist2(
last, point,
init_position
) < u.radius ** 2:
good = False
break
last = point
if not good:
break
u.position = init_position
self.world.add_unit(u)
def init(self):
if self.parameter is None:
self.parameter = 50
# start is upper left corner
self.agent.position = Vec2d(10, 10)
# goal is lower right
self.agent.goal = Vec2d(*self.world.size) - self.agent.position
self.agent.angle = (self.agent.goal - self.agent.position).angle()
for i in xrange(self.parameter):
init_position = self.agent.position
while init_position.distance_to(self.agent.position) < 20:
init_position = Vec2d(self.random.randrange(self.world.size[0]),
self.random.randrange(self.world.size[1]))
u = RandomWalkingAvoider(self.random.random())
u.position = init_position
self.world.add_unit(u)
def init(self):
if parameter is None:
parameter = 50
self.agent.position = Vec2d(200, 200)
self.agent.goal = Vec2d(400, 200)
self.agent.angle = 0
self.world.add_obstacle(
obstacle.Line(Vec2d(100, 100), Vec2d(100, 300))
)
self.world.add_obstacle(
obstacle.Line(Vec2d(100, 300), Vec2d(500, 300))
)
self.world.add_obstacle(
obstacle.Line(Vec2d(500, 300), Vec2d(500, 100))
)
self.world.add_obstacle(
obstacle.Line(Vec2d(500, 100), Vec2d(100, 100))
)
self.world.add_obstacle(
obstacle.Line(Vec2d(300, 100), Vec2d(300, 250))
)
for m in xrange(parameter):
good = False
u = RandomWalkingAvoider()
# generate random positions for pedestrians
# that are not inside obstacles...
while not good:
init_position = Vec2d(
random.randrange(u.radius + 1, self.world.size[0] - u.radius - 1),
random.randrange(u.radius + 1, self.world.size[1] - u.radius - 1)
)
good = init_position.distance_to(self.agent.position) > 20
u.position = init_position
self.world.add_unit(u)