def tick():
#NO EXCEPTION HANDLING
try:
#
#GLOBAL VARIABLES
#
#XPILOT-SPEC
global tickCount
global mode
global selfVelX, selfVelY
global selfX, selfY
global selfSpeed
global selfTracking
#ITEMS
global item
global itemId
global lastItemCount
#COMMUNICATION
global latestTask
#A*
global mapWidth
global mapHeight
global maplist
global finalPath
global finalPosition
#REFUELING
global fuelIndex
global stationId
#MULTITHREADING
global maplistQueue
global searchForPath
global searchQueue
global pathQueue
#RESET IF DEAD
if not ai.selfAlive():
tickCount = 0
#CLEAR A*
finalPosition = []
finalPath = []
mode = "idle"
return
tickCount += 1
#
#SENSORS READINGS
#
#XPILOT-SPEC
selfX = ai.selfX()
selfY = (mapHeight * ai.blockSize()) - ai.selfY()
selfVelX = ai.selfVelX()
selfVelY = ai.selfVelY()
selfSpeed = ai.selfSpeed()
selfTracking = ai.selfTrackingRad()
selfHeading = ai.selfHeadingRad()
#DOES NOT EXIST FIRST TICKS
if tickCount > 6:
mass = ai.selfMass()
thrustPower = ai.getPower()
friction = ai.getOption("friction")
mapWidth = ai.getOption("mapwidth")
mapHeight = ai.getOption("mapheight")
print ("tick count:", tickCount, "mode", mode)
#IN THIS MODE WE ARE WAITING FOR THE PLAYER TO GIVE THE BOT INSTRUCTIONS
if mode == "idle":
mode, value, latestTask = getMessage()
if mode == "move":
finalPosition = value
elif mode == "collect":
item = value
elif mode == "refuel":
fuelIndex = value
#IN THIS MODE WE ARE CALUCLATING PATH USING ASTAR
elif mode == "move":
#MULTITHREADING
searchForPath = True
searchQueue.put(searchForPath)
try:
finalPath = pathQueue.get(timeout=1)
maplist = maplistQueue.get(timeout=1)
except queue.Empty:
pass
#SEARCH-PATH-PART
if not finalPath:
print("CALCULATING PATH")
maplist, finalPath = getPath(pixelsToBlockSize(mapWidth, mapHeight), tuple(finalPosition), mapWidth, mapHeight)
print("CALCULATED MAPLIST LENGTH:", len(maplist))
print("CALCULATED FINAL PATH:", len(finalPath))
else:
if maplist:
printMap(finalPath, True)
#MULTITHREADING
searchForPath = False
searchQueue.put(searchForPath)
print("Final Path:", finalPath)
print("Player Pos:","(",selfY // ai.blockSize(), selfX // ai.blockSize(),")")
targetPosition = finalPath[0]
if finalPath[0][1] == selfX // ai.blockSize() and finalPath[0][0] == selfY // ai.blockSize():
if len(finalPath) > 1:
finalPath = finalPath[1:]
else:
print("REACHED TARGETPOS")
sendMessage("teacherbot")
finalX = finalPosition[1]
finalY = finalPosition[0]
finalPosition = []
finalPath = []
print(latestTask)
if "refuel" in latestTask:
mode = "refueling"
elif latestTask == "use-item mine":
mode = useMine(finalX, finalY)
elif latestTask == "use-item missile":
mode = useMissile(finalX, finalY)
elif latestTask == "use-item laser":
mode = useLaser(finalX, finalY)
else:
mode = "idle"
#MOVE-PART
if finalPosition:
stoppingDist = stopping_distance(mass, friction, thrustPower, selfSpeed)
moveToPos(selfX, selfY, [targetPosition[1]*ai.blockSize(), targetPosition[0]*ai.blockSize()], stoppingDist)
#IF OTHER PLAYER IS SHOOTING TOWARDS YOU FLEE
elif mode == "flee":
if ai.selfItem(18):
usePhasing(0, 0)
elif ai.selfItem(17):
useHyperJump(0, 0)
elif ai.selfItem(10):
useEcm(0,0)
elif ai.selfItem(15):
useEmergencyShield(0, 0)
else:
ai.shield()
#IN THIS MODE WE ARE REFUELING
elif mode == "refuel":
mode, finalPath, finalPosition = moveToFuelStation()
elif mode == "refueling":
'''Amount of fuel in station'''
if ai.fuelstationFuel(fuelIndex) > 0:
'''Keep calling to refuel'''
ai.refuel()
else:
mode = "idle"
#IN THIS MODE WE ARE COLLECTING ITEMS
elif mode == "collect":
if ai.itemCountScreen() > 0:
itemOnScreen = False
for i in range(ai.itemCountScreen()):
if ai.itemType(i) == item:
itemId = i
itemOnScreen = True
break
if not itemOnScreen:
print("No item of type " + str(item) + " on screen")
mode = "idle"
collectAim(itemId)
if selfSpeed < 10:
thrust(10)
else:
brake(2)
except:
print(traceback.print_exc())
def tick():
try:
global tickCount
global mode
if not ai.selfAlive():
tickCount = 0
mode = "ready"
return
tickCount += 1
selfX = ai.selfX()
selfY = ai.selfY()
selfVelX = ai.selfVelX()
selfVelY = ai.selfVelY()
selfSpeed = ai.selfSpeed()
tracking = ai.selfTrackingRad()
selfHeading = ai.selfHeadingRad()
message = ai.scanTalkMsg(0)
mass = ai.selfMass()
friction = ai.getOption("friction")
thrustPower = ai.getPower()
def scalar_product(lis, n):
return [x * n for x in lis]
def vector_sum(list1, list2):
return [sum(x) for x in zip(list1, list2)]
def time_of_impact(px, py, vx, vy, s):
a = s * s - (vx * vx + vy * vy)
b = px * vx + py * vy
c = px * px + py * py
d = b * b + a * c
t = 0 # Time
if d >= 0:
t = (b + math.sqrt(d)) / a
if (t < 0):
t = 0
return t
def stopping_distance(mass, friction, thrustPower, selfSpeed):
fForce = friction * mass
tForce = thrustPower
accTot = ((fForce / mass) + (tForce / (mass + 5)))
return ((selfSpeed * selfSpeed) / (2 * accTot))
stopping_distance = stopping_distance(mass, friction, thrustPower,
selfSpeed)
print("tick count:", tickCount, "mode", mode)
if mode == "ready":
print(friction, mass, selfSpeed, thrustPower)
print(selfX, selfY)
if "move-to" in message:
splitmessage = message.split()
action = splitmessage[0]
if "move-to-stop" in action:
mode = "move-to-stop"
if "move-to-pass" in action:
mode = "move-to-pass"
if mode == "move-to-pass":
splitmessage = message.split()
coordX = float(splitmessage[1])
coordY = float(splitmessage[2])
print(coordX, coordY)
distance = math.sqrt(
abs(coordX - selfX)**2 + abs(coordY - selfY)**2)
time = time_of_impact((coordX - selfX), (coordY - selfY), 0, 0, 10)
targetDirection = (math.atan2(coordY - selfY, coordX - selfX))
print(targetDirection)
if tracking == targetDirection:
ai.thrust()
else:
ai.turnToRad(targetDirection)
ai.thrust()
if distance < 10:
mode == "klar"
if mode == "move-to-stop":
splitmessage = message.split()
coordX = int(splitmessage[1])
coordY = int(splitmessage[2])
print(coordX, coordY)
distance = math.sqrt(
abs(coordX - selfX)**2 + abs(coordY - selfY)**2)
time = time_of_impact((coordX - selfX), (coordY - selfY), 0, 0,
selfSpeed + 0.000001)
target_position = vector_sum(
(coordX - selfX, coordY - selfY),
scalar_product((0 - selfVelX, 0 - selfVelY), time))
targetDirection = (math.atan2(target_position[1],
target_position[0]))
print(target_position)
print(targetDirection)
if tickCount % 2 == 0:
if abs(tracking - targetDirection) > 0.01:
ai.turnToRad(targetDirection)
print("vinkel", (tracking - targetDirection), "tid", time)
#if abs(targetDirection-tracking) > 0.03:
# ai.thrust()
#ai.thrust()
# if tickCount % 2 == 0:
#if selfSpeed < 30:
ai.thrust()
#if targetDirection-tracking < -0.1:
# ai.turnRad(-(tracking-targetDirection))
# ai.thrust()
#if targetDirection-tracking < 0.1:
# ai.turnRad(-(tracking-targetDirection))
# ai.thrust()
#if not tracking == targetDirection:
# ai.turnToRad(targetDirection)
# ai.thrust()
# if distance < 10:
# mode == "klar"
# print("V", selfSpeed, "tP", thrustPower, "fr", friction, "M", mass)
print(stopping_distance, distance)
if stopping_distance > distance:
mode = "brake"
if mode == "brake":
ai.turnToRad(tracking + math.pi)
ai.thrust()
print(selfX, selfY)
splitmessage = message.split()
coordX = int(splitmessage[1])
coordY = int(splitmessage[2])
distance = math.sqrt(
abs(coordX - selfX)**2 + abs(coordY - selfY)**2)
print(distance)
if selfSpeed < 2:
mode = "xD"
if mode == "xD":
print(selfX, selfY)
splitmessage = message.split()
coordX = int(splitmessage[1])
coordY = int(splitmessage[2])
distance = math.sqrt(
abs(coordX - selfX)**2 + abs(coordY - selfY)**2)
print(distance)
except:
print(traceback.print_exc())
def tick():
#
# The API won't print out exceptions, so we have to catch and print them ourselves.
#
try:
#
# Declare global variables so we have access to them in the function
#
global tickCount
global mode
global targetId
global lis
#
# Reset the state machine if we die.
#
if not ai.selfAlive():
tickCount = 0
mode = "ready"
return
tickCount += 1
#
# Read some "sensors" into local variables, to avoid excessive calls to the API
# and improve readability.
#
selfX = ai.selfX()
selfY = ai.selfY()
selfVelX = ai.selfVelX()
selfVelY = ai.selfVelY()
selfSpeed = ai.selfSpeed()
selfHeading = ai.selfHeadingRad()
selfTracking = ai.selfTrackingRad()
# 0-2pi, 0 in x direction, positive toward y
# Add more sensors readings here
print("tick count:", tickCount, "mode", mode)
if mode == "ready":
for i in range(4):
if ai.targetAlive(i):
targetId = i
break
xDiff = ai.targetX(targetId) - ai.selfX()
yDiff = ai.targetY(targetId) - ai.selfY()
targetDirection = math.atan2(yDiff, xDiff)
ai.turnToRad(targetDirection)
ai.setPower(20)
if selfSpeed < 20:
ai.thrust()
if xDiff < 400 and yDiff < 400:
mode = "brake"
if abs(selfHeading - selfTracking) > 0.1 and selfSpeed > 20:
mode = "stab"
elif mode == "stab":
if selfSpeed < 2:
mode = "ready"
else:
ai.setPower(50)
ai.turnToRad(math.pi + ai.selfTrackingRad())
ai.thrust()
elif mode == "brake":
if selfSpeed < 2:
mode = "aim"
else:
ai.setPower(50)
ai.turnToRad(math.pi + ai.selfTrackingRad())
ai.thrust()
elif mode == "aim":
xDiff = ai.targetX(targetId) - ai.selfX()
yDiff = ai.targetY(targetId) - ai.selfY()
targetDirection = math.atan2(yDiff, xDiff)
ai.turnToRad(targetDirection)
angleDiff = abs(targetDirection - selfHeading)
if angleDiff < 0.25 or angleDiff > 2 * math.pi - 0.25:
mode = "shoot"
elif mode == "shoot":
ai.fireShot()
xDiff = ai.targetX(targetId) - ai.selfX()
yDiff = ai.targetY(targetId) - ai.selfY()
targetDirection = math.atan2(yDiff, xDiff)
ai.turnToRad(targetDirection)
if not ai.targetAlive(targetId):
mode = "ready"
except:
print(traceback.print_exc())
def tick():
#NO EXCEPTION HANDLING
try:
#GLOBAL VARIABLES
global tickCount
global mode
global item
global itemId
global lastItemCount
global latestTask
global mapWidth
global mapHeight
global maplist
global finalPath
global pathThread # Does not need to be global at the moment
global searchForPath, searchQueue
global selfVelX, selfVelY
global selfSpeed
global selfTracking
global finalPosition
#RESET IF DEAD
if not ai.selfAlive():
tickCount = 0
#Create a clear function
targetPos = []
finalPath = []
mode = "idle"
return
tickCount += 1
#SENSORS READINGS
selfX = ai.selfX()
selfY = (mapHeight * ai.blockSize()) - ai.selfY()
selfVelX = ai.selfVelX()
selfVelY = ai.selfVelY()
selfSpeed = ai.selfSpeed()
selfTracking = ai.selfTrackingRad()
selfHeading = ai.selfHeadingRad()
mass = ai.selfMass()
friction = ai.getOption("friction")
thrustPower = ai.getPower()
mapWidth = ai.getOption("mapwidth")
mapHeight = ai.getOption("mapheight")
print ("tick count:", tickCount, "mode", mode)
#IN THIS MODE WE ARE WAITING FOR THE PLAYER TO GIVE THE BOT INSTRUCTIONS
if mode == "idle":
mode, value = getMessage()
if mode == "move":
finalPosition = value
elif mode == "collect":
item = value
#IN THIS MODE WE ARE CALUCLATING PATH USING ASTAR
elif mode == "move":
#GET PATH
searchForPath = True
searchQueue.put(searchForPath)
try:
finalPath = pathQueue.get(timeout=1)
except queue.Empty:
pass
#if not finalPath:
#print("CALCULATING PATH")
#finalPath = getPath(pixelsToBlockSize(mapWidth, mapHeight), tuple(finalPosition), mapWidth, mapHeight)
# else:
#SEARCH
print("final path", finalPath)
if finalPath:
print("I HAVE A FINAL PATH!")
print("FINAL PATH: ", finalPath)
searchForPath = False # We have now found a path
searchQueue.put(searchForPath)
print("Final Path:", finalPath)
print("Player Pos:","(",selfY // ai.blockSize(), selfX // ai.blockSize(),")")
targetPosition = finalPath[0]
if finalPath[0][1] == selfX // ai.blockSize() and finalPath[0][0] == selfY // ai.blockSize():
if len(finalPath) > 1:
finalPath = finalPath[1:]
else:
print("REACHED TARGETPOS")
sendMessage("teacherbot")
finalPosition = []
finalPath = []
mode = "idle"
#MOVES
if finalPath and finalPosition:
print("I HAVE A FINAL POSITION!")
stoppingDist = stopping_distance(mass, friction, thrustPower, selfSpeed)
moveToPos(selfX, selfY, [targetPosition[1]*ai.blockSize(), targetPosition[0]*ai.blockSize()], stoppingDist)
else:
print("NO FINAL POSITION")
#TODO: Search and destroy
elif mode == "destroy":
pass
#TODO: Astar safe path
elif mode == "refuel":
fuelIndex = random.randint(0, ai.fuelstationCount())
refueling = False
#GET FEULSTATION X AND Y POS
finalxPosition = ai.fuelstationBlockX(fuelIndex)
finalyPosition = mapHeight - ai.fuelstationBlockY(fuelIndex)
finalxAndyPosition = [finalyPosition - 1, finalxPosition]
targetPos = finalxAndyPosition
mode = "move"
#TODO: USE WITH ASTAR
if refueling:
'''Amount of fuel in station'''
if ai.fuelstationFuel(fuelIndex) > 0:
'''Keep calling to refuel'''
ai.refuel()
else:
mode = "idle"
'''Number of fueltanks on server'''
#ai.tankCountServer()
'''Number of fuelstations on server'''
#ai.fuelstationCount()
#IN THIS MODE WE ARE COLLECTING ITEMS
elif mode == "collect":
if ai.itemCountScreen() > 0:
itemOnScreen = False
for i in range(ai.itemCountScreen()):
if ai.itemType(i) == item:
itemId = i
itemOnScreen = True
break
if not itemOnScreen:
print("No item of type " + str(item) + " on screen")
mode = "idle"
itemX = ai.itemX(itemId)
itemY = ai.itemY(itemId)
itemVelX = ai.itemVelX(itemId)
itemVelY = ai.itemVelY(itemId)
deltaPosX = itemX - selfX
deltaPosY = itemY - ai.selfY()
deltaVelX = itemVelX - selfVelX
deltaVelY = itemVelY - selfVelY
time = time_of_impact(deltaPosX, deltaPosY, itemVelX, itemVelY, 10)
targetPosition = vector_sum((deltaPosX, deltaPosY), scalar_product((deltaVelX, deltaVelY), time))
ai.turnToRad(math.atan2(targetPosition[1], targetPosition[0]))
if selfSpeed < 10:
thrust(10)
else:
brake(2)
except:
print(traceback.print_exc())
def tick():
#
# The API won't print out exceptions, so we have to catch and print them ourselves.
#
try:
#
# Declare global variables so we have access to them in the function
#
global tickCount
global mode
#
# Reset the state machine if we die.
#
if not ai.selfAlive():
tickCount = 0
mode = "ready"
return
tickCount += 1
#
# Read some "sensors" into local variables, to avoid excessive calls to the API
# and improve readability.
#
selfX = ai.selfX()
selfY = ai.selfY()
selfVelX = ai.selfVelX()
selfVelY = ai.selfVelY()
selfSpeed = ai.selfSpeed()
selfHeading = ai.selfHeadingRad()
# 0-2pi, 0 in x direction, positive toward y
# Add more sensors readings here
print("tick count:", tickCount, "mode", mode)
if mode == "ready":
greetings = [
"Hey. ", "Hello. ", "Yooo. ", "Excuse me, sir? ",
"It's yo boy in da house. ", "Goddaaaaag, NOLLA! ",
"'Sup. Come here often? "
]
questions = [
"What are your coords?", "What is your heading?",
"How many items have you seen?", "What ships have you seen?",
"What is your tracking?"
]
if tickCount % 50 == 0:
unansweredQuestions = []
for i in range(ai.getMaxMsgs()):
if ":[Pelle]" in ai.scanTalkMsg(i):
unansweredQuestions.append(ai.scanTalkMsg(i))
ai.removeTalkMsg(i)
if name == "Stub":
rand = random.SystemRandom()
ai.talk("Pelle:" + rand.choice(greetings) +
rand.choice(questions))
for s in unansweredQuestions:
if ":[Pelle]" in s:
msg = "Stub:Hey"
if "coords" in s:
msg = "Stub:My coords are (" + str(
ai.selfX()) + ", " + str(ai.selfY()) + ")."
elif "heading" in s:
msg = "Stub:My heading is " + str(
ai.selfHeadingRad()) + " radians."
elif "tracking" in s:
msg = "Stub:My tracking is " + str(
ai.selfTrackingRad()) + " radians."
elif "items" in s:
msg = "Stub:I have seen " + str(
ai.itemCountScreen()) + " items."
elif "ships" in s:
ships = []
if (ai.shipCountScreen() - 1) > 0:
for player_id in range(ai.playerCountServer()):
if ai.playerName(
player_id) != ai.selfName():
ships.append(ai.playerName(player_id))
msg = "I see " + str(ai.shipCountScreen() -
1) + " ship(s). " + str(ships)
ai.talk(msg)
except:
print(traceback.print_exc())