if ds_global.is_in_front_of_door(ws_global, rs_global):
raise ValueError("The robot should NOT be in front of a door")
# Check that we get our probabilites back (mostly)
count_returned_true = 0
for i in range(0, 1000):
if ds_global.sensor_reading(ws_global, rs_global):
count_returned_true += 1
prob_count = count_returned_true / 1000
if abs(prob_count - ds_global.prob_see_door_if_no_door) > 0.1:
raise ValueError("Probability should be close to {}, is {}".format(
ds_global.prob_see_door_if_no_door, prob_count))
print("Testing probabilities for robot in front of door")
rs_global.robot_loc = ws_global.place_robot_in_front_of_door()
if not ds_global.is_in_front_of_door(ws_global, rs_global):
raise ValueError("The robot SHOULD be in front of a door")
# Check that we get our probabilities back (mostly) when in front of the door
count_returned_true = 0
for i in range(0, 1000):
if ds_global.sensor_reading(ws_global, rs_global):
count_returned_true += 1
prob_count = count_returned_true / 1000
if abs(prob_count - ds_global.prob_see_door_if_door) > 0.1:
raise ValueError("Probability should be close to {}, is {}".format(
ds_global.prob_see_door_if_door, prob_count))
print("Passed tests")
if ds.is_in_front_of_door(ws, rs):
raise ValueError("The robot should NOT be in front of a door")
# Check that we get our probabilites back (mostly)
count_returned_true = 0
for i in range(0, 1000):
if ds.sensor_reading(ws, rs) == True:
count_returned_true += 1
prob_count = count_returned_true / 1000
if abs(prob_count - ds.prob_see_door_if_no_door) > 0.1:
raise ValueError("Probability should be close to {}, is {}".format(
ds.prob_see_door_if_no_door, prob_count))
print("Testing probabilities for robot in front of door")
rs.robot_loc = ws.place_robot_in_front_of_door()
if ds.is_in_front_of_door(ws, rs) == False:
raise ValueError("The robot SHOULD be in front of a door")
# Check that we get our probabilites back (mostly) when in front of the door
count_returned_true = 0
for i in range(0, 1000):
if ds.sensor_reading(ws, rs) == True:
count_returned_true += 1
prob_count = count_returned_true / 1000
if abs(prob_count - ds.prob_see_door_if_door) > 0.1:
raise ValueError("Probability should be close to {}, is {}".format(
ds.prob_see_door_if_door, prob_count))
print("Passed tests")
