def __init__(self, inputManager, track, startPos, name, ai=None):
self.inputManager = inputManager
# Stores a reference to the InputManager to access user input.
self.setupVarsNPs(startPos, name)
self.setupCollisions()
# Sets up initial variables, NodePaths, and collision objects.
self.track = track
# Stores a reference to the track.
self.lanes = self.track.trackLanes.lanes
# gets a reference to the lanes on the track, to shorten the variable name.
startingLane = self.track.trackLanes.getNearestMarker(self).lane
# Gets the lane for the closest marker to the cycle.
self.uc1 = self.lanes[startingLane][0]
self.uc2 = self.lanes[startingLane][1]
self.uc3 = self.lanes[startingLane][2]
# Sets up 3 variables to store references to the 3 up-coming markers on the
# track, ahead of the cycle. These are used by the AI to steer, and by player
# cycles to measure progress along the track.
if (ai == True):
self.ai = CycleAI(self)
# if the ai input is passed anything, it won't default to None, and the cycle will create
# an AI to control itself.
elif (ai == None):
self.ai = None
taskMgr.add(self.cycleControl, "Cycle Control")
# If the cycle isn't using an AI, activate player control.
# With this set up, if AI == False, the cycle will be completely uncontrolled.
self.setupLight()
def __init__(self, inputManager, track, startPos, name, ai=None):
self.inputManager = inputManager
# Stores a reference to the InputManager to access user input.
self.setupVarsNPs(startPos, name)
self.setupCollisions()
# Sets up initial variables, NodePaths, and collision objects.
self.track = track
# Stores a reference to the track.
self.lanes = self.track.trackLanes.lanes
# gets a reference to the lanes on the track, to shorten the variable name.
startingLane = self.track.trackLanes.getNearestMarker(self).lane
# Gets the lane for the closest marker to the cycle.
self.uc1 = self.lanes[startingLane][0]
self.uc2 = self.lanes[startingLane][1]
self.uc3 = self.lanes[startingLane][2]
# Sets up 3 variables to store references to the 3 up-coming markers on the
# track, ahead of the cycle. These are used by the AI to steer, and by player
# cycles to measure progress along the track.
if (ai == True):
self.ai = CycleAI(self)
# if the ai input is passed anything, it won't default to None, and the cycle will create
# an AI to control itself.
elif (ai == None):
self.ai = None
taskMgr.add(self.cycleControl,
"Cycle Control",
sort=int(self.root.getY() + 100))
# If the cycle isn't using an AI, activate player control. The cycle is also given a unique
# sort value based on it's distance from the finish line. The unique sort value fixes a bug
# in the AI aim code that can cause jittering in the aim when the tasks that control the
# cycles don't execute in the same order every frame.
# With this set up, if AI == False, the cycle will be completely uncontrolled.
self.setupLight()
def __init__(self, inputManager, track, ai=None):
self.inputManager = inputManager
self.setupVarsNPs()
self.track = track
# Stores a reference to the track.
self.lanes = self.track.trackLanes.lanes
# gets a reference to the lanes on the track, to shorten the variable name.
startingLane = self.track.trackLanes.getNearestMarker(self).lane
# Gets the lane for the closest marker to the cycle.
self.uc1 = self.lanes[startingLane][0]
self.uc2 = self.lanes[startingLane][1]
self.uc3 = self.lanes[startingLane][2]
# Sets up 3 variables to store references to the 3 up-coming markers on the
# track, ahead of the cycle. These are used by the AI to steer, and by player
# cycles to measure progress along the track.
if (ai != None):
self.ai = CycleAI(self)
# if the ai input is passed anything, it won't default to None, and the cycle will create
# an AI to control itself.
else:
taskMgr.add(self.cycleControl, "Cycle Control")
