def __init__(self, name_model, map_x_size, map_y_size, min_step, max_step):
#TODO: extract from configuration file
#name_model = 'random_waypoint'
#map_x_size = 100
#map_y_size = 100
self.name_model = name_model
if name_model == 'random_waypoint':
self.model = random_waypoint(1, dimensions=(map_x_size, map_y_size), velocity=(min_step, max_step), wt_max=0.)
self.pos = None
elif name_model == 'random_walk':
self.model = random_walk(1, dimensions=(map_x_size, map_y_size))
self.pos = None
elif name_model == 'random_direction':
self.model = random_direction(1, dimensions=(map_x_size, map_y_size))
self.pos = None
elif name_model == 'levy_walk':
self.model = truncated_levy_walk(1, dimensions=(map_x_size, map_y_size))
self.pos = None
elif name_model == 'none':
self.model = None
self.pos = (str(random.randint(0, map_x_size)), str(random.randint(0, map_y_size)))
else:
raise Exception('The model name is not correct: %s'%name_model)
self.next()
def __init__(self, name_model, map_x_size, map_y_size, min_step, max_step):
#TODO: extract from configuration file
#name_model = 'random_waypoint'
#map_x_size = 100
#map_y_size = 100
self.name_model = name_model
if name_model == 'random_waypoint':
self.model = random_waypoint(1,
dimensions=(map_x_size, map_y_size),
velocity=(min_step, max_step),
wt_max=0.)
self.pos = None
elif name_model == 'random_walk':
self.model = random_walk(1, dimensions=(map_x_size, map_y_size))
self.pos = None
elif name_model == 'random_direction':
self.model = random_direction(1,
dimensions=(map_x_size, map_y_size))
self.pos = None
elif name_model == 'levy_walk':
self.model = truncated_levy_walk(1,
dimensions=(map_x_size,
map_y_size))
self.pos = None
elif name_model == 'none':
self.model = None
self.pos = (str(random.randint(0, map_x_size)),
str(random.randint(0, map_y_size)))
else:
raise Exception('The model name is not correct: %s' % name_model)
self.next()
import matplotlib.pyplot as plt
plt.ion()
ax = plt.subplot(111)
line, = ax.plot([0, MAX_X], [0, MAX_Y], linestyle='', marker='.')
if CALCULATE_CONTACTS:
for l in range(100):
ax.plot([], [], 'b-')
step = 0
np.random.seed(0xffff)
# UNCOMMENT THE MODEL YOU WANT TO USE
## Random Walk model
rw = random_walk(nr_nodes, dimensions=(MAX_X, MAX_Y))
## Truncated Levy Walk model
#rw = truncated_levy_walk(nr_nodes, dimensions=(MAX_X, MAX_Y))
## Random Direction model
#rw = random_direction(nr_nodes, dimensions=(MAX_X, MAX_Y))
## Random Waypoint model
#rw = random_waypoint(nr_nodes, dimensions=(MAX_X, MAX_Y), velocity=(MIN_V, MAX_V), wt_max=MAX_WT)
## Gauss-Markov model
#rw = gauss_markov(nr_nodes, dimensions=(MAX_X, MAX_Y), alpha=0.99)
## Reference Point Group model
#groups = [4 for _ in range(10)]
import matplotlib.pyplot as plt
plt.ion()
ax = plt.subplot(111)
line, = ax.plot(range(MAX_X), range(MAX_X), linestyle='', marker='.')
if CALCULATE_CONTACTS:
for l in range(100):
ax.plot([], [], 'b-')
step = 0
np.random.seed(0xffff)
# UNCOMMENT THE MODEL YOU WANT TO USE
## Random Walk model
rw = random_walk(nr_nodes, dimensions=(MAX_X, MAX_Y))
## Truncated Levy Walk model
#tlw = truncated_levy_walk(nr_nodes, dimensions=(MAX_X, MAX_Y))
## Random Direction model
#rd = random_direction(nr_nodes, dimensions=(MAX_X, MAX_Y))
## Random Waypoint model
#rwp = random_waypoint(nr_nodes, dimensions=(MAX_X, MAX_Y), velocity=(MIN_V, MAX_V), wt_max=MAX_WT)
## Gauss-Markov model
#gm = gauss_markov(nr_nodes, dimensions=(MAX_X, MAX_Y), alpha=0.99)
## Reference Point Group model
#groups = [4 for _ in range(10)]
def create_model_instance(self):
return random_walk(self.nr_nodes, (self.MAX_X, self.MAX_Y))
def create_model_instance(self):
return random_walk(self.nr_nodes, (self.MAX_X, self.MAX_Y))
