def checkParamAutoma(self, power, sensors, actuators, maxLoad):
"""Return True if conformity of the parameters is verified"""
if not maxLoad or not isinstance(
maxLoad, int
) or maxLoad < 0 or not power or not isinstance(power, int) or not (
power <= 100 and power >= 0) or not sensors or not isinstance(
sensors[0], Sensor) or not Sensor.checkSensorList(
sensors[0],
sensors) or not actuators or not isinstance(
actuators[0],
Actuator) or not Actuator.checkActuatorList(
actuators[0], actuators):
return False
return True
def testClassSensor():
result = True
sensor = Sensor(position=(0, 0, 0), range_max=(10, 10, 10), typ="thermal")
if sensor._position != (
0, 0, 0
) or not sensor._sensibility or not isinstance(
sensor._sensibility, Sensibility
) or sensor._power != 100 or sensor._resilience != 100 or not sensor._name or not sensor._state or not sensor._type or sensor._type != 'thermal':
print('Sensor Failed!! ', sensor._sensibility, sensor._power,
sensor._resilience)
result = False
sensor = Sensor(typ="radio",
position=(0, 0, 0),
range_max=(100, 100, 100),
accuracy=20,
power=20,
resilience=20,
name='tullio')
if sensor._position != (
0, 0, 0
) or not sensor._sensibility or sensor._power != 20 or sensor._resilience != 20 or sensor._name != 'tullio' or not sensor._state or not sensor._type or sensor._type != 'radio':
print('Sensor Failed!! ', sensor._sensibility, sensor._power,
sensor._resilience, sensor._name, sensor._state)
result = False
try:
sensor = Sensor(position=(0, 0, 0),
sensibility=-1,
power=-1,
resilience=-1,
typ="radio")
except Exception:
pass
else:
print('Sensor Failed!! Not launch Exception', sensor._sensibility,
sensor._power, sensor._resilience, sensor._name, sensor._state,
sensor._type)
result = False
try:
sensor = Sensor(position=(0, 0, 0),
sensibility=10,
power=1,
resilience=101,
typ="radio")
except Exception:
pass
else:
print('Sensor Failed!! Not launch Exception', sensor._sensibility,
sensor._power, sensor._resilience, sensor._name, sensor._state,
sensor._type)
result = False
# test Sensor.evalutateDamage( energy, power )
sensor = Sensor(typ="radio",
position=(0, 0, 0),
range_max=(50, 50, 50),
power=50,
resilience=50,
accuracy=7)
sensor.evalutateSelfDamage(power=60)
if sensor._state._health != 90:
print('Sensor.evalutatSelfDamage(energy = 100, power = 60) Failed!! ',
sensor._sensibility, sensor._power, sensor._resilience,
sensor._name, sensor._state, sensor._state._health)
result = False
# test checkSensorClass()
if not Sensor.checkSensorClass(sensor, sensor):
print('Sensor.checkSensorClass(sensor) Failed!! ', sensor._state,
sensor._state._health)
result = False
# test checkSensorList()
sensors = [
Sensor(typ="radio", position=(0, 0, 0), range_max=(100, 100, 100)),
Sensor(typ="radio", position=(0, 0, 0), range_max=(100, 100, 100)),
Sensor(typ="radio", position=(0, 0, 0), range_max=(100, 100, 100)),
Sensor(typ="radio", position=(0, 0, 0), range_max=(100, 100, 100))
]
if not Sensor.checkSensorList(sensor, sensors):
print('Sensor.checkSensorList(sensors) Failed!! ', sensors[0]._id,
sensors[0]._state, sensors[0]._state._health)
result = False
sensors = [
Sensor(typ="radio", position=(0, 0, 0), range_max=(100, 100, 100)),
Sensor(typ="radio", position=(0, 0, 0), range_max=(100, 100, 100)),
list(),
Sensor(typ="radio", position=(0, 0, 0), range_max=(100, 100, 100))
]
if Sensor.checkSensorList(sensor, sensors):
print('Sensor.checkSensorList(sensors) Failed!! ', sensors[0]._id,
sensors[0]._state, sensors[0]._state._health)
result = False
# test sensor.perception()-test with object emissivity > sensor emissivity_perception: sensor should be percept object
num_objects = 100
num_objects_for_linear = int((num_objects)**(1 / 3))
object_dimension = (3, 2, 1)
separation_from_objects = 7
incr = (object_dimension[0] + separation_from_objects,
object_dimension[2] + separation_from_objects,
object_dimension[2] + separation_from_objects)
dim_linear = (num_objects_for_linear * incr[0],
num_objects_for_linear * incr[2],
num_objects_for_linear * incr[2])
bound = (int(dim_linear[0] / 2), int(dim_linear[1] / 2),
int(dim_linear[2] / 2))
logger.logger.info(
"num_objects:{0}, num_objects_for_linear:{1}, object_dimension:{2}, separation_from_objects:{3}, incr:{4}, dim_linear:{5}, bound:{6}"
.format(num_objects, num_objects_for_linear, object_dimension,
separation_from_objects, incr, dim_linear, bound))
pm = Position_manager(name='position manager',
limits=[[-bound[0], -bound[1], -bound[2]],
[bound[0], bound[1], bound[2]]])
for z in range(-bound[2], bound[2], incr[2]):
for y in range(-bound[1], bound[1], incr[1]):
for x in range(-bound[0], bound[0], incr[0]):
pm.insertObject(
position=(x, y, z),
obj=Object(name='New_' + str(
int(((bound[0] + x) % dim_linear[0]) / incr[0] +
num_objects_for_linear *
((bound[1] + y) % dim_linear[1]) / incr[1] +
num_objects_for_linear * num_objects_for_linear *
((bound[2] + z) % dim_linear[2]) / incr[2])),
dimension=(object_dimension[0],
object_dimension[1],
object_dimension[2]),
emissivity={
"radio": 5,
"thermal": 0,
"optical": 0,
"nuclear": 0,
"electric": 0,
"acoustics": 0,
"chemist": 0
}))
sensor.perception(pm, sensor._position)
# test sensor.perception()-test with object emissivity < sensor emissivity_perception: sensor not should be percept object
num_objects = 100
num_objects_for_linear = int((num_objects)**(1 / 3))
object_dimension = (3, 2, 1)
separation_from_objects = 7
incr = (object_dimension[0] + separation_from_objects,
object_dimension[2] + separation_from_objects,
object_dimension[2] + separation_from_objects)
dim_linear = (num_objects_for_linear * incr[0],
num_objects_for_linear * incr[2],
num_objects_for_linear * incr[2])
bound = (int(dim_linear[0] / 2), int(dim_linear[1] / 2),
int(dim_linear[2] / 2))
logger.logger.info(
"num_objects:{0}, num_objects_for_linear:{1}, object_dimension:{2}, separation_from_objects:{3}, incr:{4}, dim_linear:{5}, bound:{6}"
.format(num_objects, num_objects_for_linear, object_dimension,
separation_from_objects, incr, dim_linear, bound))
pm = Position_manager(name='position manager',
limits=[[-bound[0], -bound[1], -bound[2]],
[bound[0], bound[1], bound[2]]])
for z in range(-bound[2], bound[2], incr[2]):
for y in range(-bound[1], bound[1], incr[1]):
for x in range(-bound[0], bound[0], incr[0]):
pm.insertObject(
position=(x, y, z),
obj=Object(name='New_' + str(
int(((bound[0] + x) % dim_linear[0]) / incr[0] +
num_objects_for_linear *
((bound[1] + y) % dim_linear[1]) / incr[1] +
num_objects_for_linear * num_objects_for_linear *
((bound[2] + z) % dim_linear[2]) / incr[2])),
dimension=(object_dimension[0],
object_dimension[1],
object_dimension[2]),
emissivity={
"radio": 0,
"thermal": 0,
"optical": 0,
"nuclear": 0,
"electric": 0,
"acoustics": 0,
"chemist": 0
}))
sensor.perception(pm, sensor._position)
return result
