class Simulation(object):
"""
Ties the BoidSwarm with the boids.
boidswarm just holds the data, boids know how to interact with each
other. This class keeps the two separated
"""
def __init__(self, starting_units=100, field_size=800, leaders=0):
"""
"""
self.swarm = BoidSwarm(field_size+2*40, Boid.influence_range+5) # /2
self.field_size = field_size
self.pad = 40 # use to keep boids inside the play field
for _ in range(starting_units):
b = Boid(random.uniform(100, 400),
random.uniform(100, 400))
self.swarm.boids.append(b)
for _ in range(leaders):
leader = Leader(random.uniform(100, 400),
random.uniform(100, 400))
self.swarm.boids.append(leader)
self.swarm.rebuild()
self._cumltime = 0 # calculation var
def update(self, dt):
"""dt is in seconds"""
avg_speed = 0.0
for b in self.swarm.boids:
close_boids = self.swarm.find_near(b.position.x, b.position.y, b.influence_range)
b.interact(close_boids)
b.update(dt)
w = self.field_size
p = self.pad
b.borders(p, w-p, p, w-p) # keep the boids inside the borders
avg_speed += b.speed
avg_speed = avg_speed / len(self.swarm.boids)
leader = Leader(42, 42)
print("%s -- %s" % (avg_speed, leader.speed))
# rebuild the swarm once we've updated all the positions
self.swarm.rebuild()
class Simulation(object):
"""
Ties the BoidSwarm with the boids.
boidswarm just holds the data, boids know how to interact with each
other. This class keeps the two separated
"""
def __init__(self, starting_units=100, field_size=800, leaders=0):
"""
"""
self.swarm = BoidSwarm(field_size + 2 * 40, Boid.influence_range + 5) # /2
self.field_size = field_size
self.pad = 40 # use to keep boids inside the play field
for _ in range(starting_units):
b = Boid(random.uniform(100, 400), random.uniform(100, 400))
self.swarm.boids.append(b)
for _ in range(leaders):
leader = Leader(random.uniform(100, 400), random.uniform(100, 400))
self.swarm.boids.append(leader)
self.swarm.rebuild()
self._cumltime = 0 # calculation var
def update(self, dt):
"""dt is in seconds"""
avg_speed = 0.0
for b in self.swarm.boids:
close_boids = self.swarm.find_near(b.position.x, b.position.y, b.influence_range)
b.interact(close_boids)
b.update(dt)
w = self.field_size
p = self.pad
b.borders(p, w - p, p, w - p) # keep the boids inside the borders
avg_speed += b.speed
avg_speed = avg_speed / len(self.swarm.boids)
leader = Leader(42, 42)
print("%s -- %s" % (avg_speed, leader.speed))
# rebuild the swarm once we've updated all the positions
self.swarm.rebuild()
def __init__(self, starting_units=100, field_size=800, leaders=0):
"""
"""
self.swarm = BoidSwarm(field_size+2*40, Boid.influence_range+5) # /2
self.field_size = field_size
self.pad = 40 # use to keep boids inside the play field
for _ in range(starting_units):
b = Boid(random.uniform(100, 400),
random.uniform(100, 400))
self.swarm.boids.append(b)
for _ in range(leaders):
leader = Leader(random.uniform(100, 400),
random.uniform(100, 400))
self.swarm.boids.append(leader)
self.swarm.rebuild()
self._cumltime = 0 # calculation var
def __init__(self, starting_units=100, field_size=800, leaders=0):
"""
"""
self.swarm = BoidSwarm(field_size + 2 * 40, Boid.influence_range + 5) # /2
self.field_size = field_size
self.pad = 40 # use to keep boids inside the play field
for _ in range(starting_units):
b = Boid(random.uniform(100, 400), random.uniform(100, 400))
self.swarm.boids.append(b)
for _ in range(leaders):
leader = Leader(random.uniform(100, 400), random.uniform(100, 400))
self.swarm.boids.append(leader)
self.swarm.rebuild()
self._cumltime = 0 # calculation var