def main(argv):
import_manager = Import_Manager()
thread_manager = Thread_Manager()
usb_manager = USB_Manager()
usb_manager.index()
arguments = Arguments("settings.json",
argv,
positionals=[{
"name": "rf_sensor_class",
"help": "Sensor class to use for the RF sensor",
"type": "class",
"module": "zigbee.RF_Sensor",
"required": True
}])
rf_sensor_class = arguments.get_positional_value("rf_sensor_class")
rf_sensor_type = import_manager.load_class(rf_sensor_class,
relative_module="zigbee")
rf_sensor = rf_sensor_type(arguments,
thread_manager,
get_location,
receive_packet,
location_valid,
usb_manager=usb_manager)
arguments.check_help()
try:
rf_sensor.activate()
print("RF sensor has joined the network.")
while True:
if rf_sensor.id == 0:
# The ground station does not need to start in order to receive
# measurements, so do not bother giving this possibility.
time.sleep(1)
else:
# Wait for the user to determine when to perform measurements
# and when to stop. Add a newline so that the messages do not
# mess up other output.
raw_input("Press Enter to start measurements...\n")
rf_sensor.start()
raw_input("Press Enter to stop measurements...\n")
rf_sensor.stop()
except:
traceback.print_exc()
thread_manager.destroy()
usb_manager.clear()
def main(argv):
import_manager = Import_Manager()
thread_manager = Thread_Manager()
usb_manager = USB_Manager()
usb_manager.index()
arguments = Arguments("settings.json", argv, positionals=[{
"name": "rf_sensor_class",
"help": "Sensor class to use for the RF sensor",
"type": "class",
"module": "zigbee.RF_Sensor",
"required": True
}])
rf_sensor_class = arguments.get_positional_value("rf_sensor_class")
rf_sensor_type = import_manager.load_class(rf_sensor_class,
relative_module="zigbee")
rf_sensor = rf_sensor_type(arguments, thread_manager, get_location,
receive_packet, location_valid, usb_manager=usb_manager)
arguments.check_help()
try:
rf_sensor.activate()
print("RF sensor has joined the network.")
while True:
if rf_sensor.id == 0:
# The ground station does not need to start in order to receive
# measurements, so do not bother giving this possibility.
time.sleep(1)
else:
# Wait for the user to determine when to perform measurements
# and when to stop. Add a newline so that the messages do not
# mess up other output.
raw_input("Press Enter to start measurements...\n")
rf_sensor.start()
raw_input("Press Enter to stop measurements...\n")
rf_sensor.stop()
except:
traceback.print_exc()
thread_manager.destroy()
usb_manager.clear()
def main(argv):
thread_manager = Thread_Manager()
arguments = Arguments("settings.json", argv)
try:
infrared_sensor = Infrared_Sensor(arguments, thread_manager)
except OSError as e:
arguments.error("Could not configure infrared sensor: {}".format(e))
arguments.check_help()
try:
infrared_sensor.register("start", start_callback)
infrared_sensor.register("stop", stop_callback)
infrared_sensor.activate()
while True:
time.sleep(1)
except:
thread_manager.destroy()
def main(argv):
# Initialize, read parameters from input and set up problems
stamp = int(time.time())
thread_manager = Thread_Manager()
import_manager = Import_Manager()
arguments = Arguments("settings.json", argv)
runner = Planning_Runner(arguments, thread_manager, import_manager,
iteration_callback)
arguments.check_help()
t_max = runner.get_iteration_limit()
size = runner.get_population_size()
print("Settings: Algorithm {}, mu={}, t_max={}".format(
runner.algorithm.get_name(), size, t_max))
print("Steps: {}".format(runner.algorithm.steps))
indices = runner.start()
# Show feasible solutions in a sorted manner.
if len(indices) == 0:
print("No feasible solutions found after {} iterations!".format(t_max))
return
print("Search variables an objective values for feasible solutions:")
# If we have fewer nondominated solutions than the total number of
# individuals, then only show the nondominated ones. Otherwise, just show
# all feasible solutions.
c = 0
for i in indices:
c += 1
positions, unsnappable = runner.get_positions_plot(i, c, len(indices))
if positions.size == 0:
continue
print("{}. {} ({})".format(i, runner.get_objectives(i), unsnappable))
do_data("positions-{}-{}".format(stamp, c), positions.tolist())
do_plot("display-{}-{}.eps".format(stamp, c))
# Plot the pareto front between the two objectives.
print("Pareto front after t={}".format(t_max))
runner.make_pareto_plot()
do_plot("front-{}.eps".format(stamp))