election: Scale invading suits' walk speeds by suit size.

toontown/election/DistributedInvasionSuit.py

@@ -34,6 +34,9 @@ class DistributedInvasionSuit(DistributedSuitBase, InvasionSuitBase, FSM):
         self.healthBar.show()
         self.updateHealthBar(0, 1)
 
+        self.walkSpeed = (ToontownGlobals.SuitWalkSpeed *
+                          SuitBattleGlobals.SuitSizes[self.dna.name] / 4.0)
+
         # Set ourselves up for a good pieing:
         colNode = self.find('**/distAvatarCollNode*')
         colNode.setTag('pieCode', str(ToontownGlobals.PieCodeInvasionSuit))

toontown/election/DistributedInvasionSuitAI.py

@@ -1,8 +1,10 @@
 from direct.directnotify import DirectNotifyGlobal
 from direct.distributed.ClockDelta import *
 from direct.fsm.FSM import FSM
+from toontown.toonbase import ToontownGlobals
 from toontown.suit.DistributedSuitBaseAI import DistributedSuitBaseAI
 from toontown.suit import SuitTimings
+from toontown.battle import SuitBattleGlobals
 import SafezoneInvasionGlobals
 from InvasionSuitBase import InvasionSuitBase
 from InvasionSuitBrainAI import InvasionSuitBrainAI
@@ -28,6 +30,9 @@ class DistributedInvasionSuitAI(DistributedSuitBaseAI, InvasionSuitBase, FSM):
         x, y, z, h = SafezoneInvasionGlobals.SuitSpawnPoints[self.spawnPointId]
         self.freezeLerp(x, y)
 
+        self.walkSpeed = (ToontownGlobals.SuitWalkSpeed *
+                          SuitBattleGlobals.SuitSizes[self.dna.name] / 4.0)
+
     def delete(self):
         DistributedSuitBaseAI.delete(self)
         self.demand('Off')

toontown/election/InvasionSuitBase.py

@@ -6,6 +6,8 @@ class InvasionSuitBase:
     # move the invading suits around.
 
     def __init__(self):
+        self.walkSpeed = ToontownGlobals.SuitWalkSpeed
+
         # This is a fine way to reset all values to defaults:
         self.freezeLerp(0, 0)
 
@@ -20,7 +22,7 @@ class InvasionSuitBase:
 
         # Calculate how long it takes the suit to march along this lerp:
         vectorLength = self._lerpVector.length()
-        self._lerpDelay = vectorLength / ToontownGlobals.SuitWalkSpeed
+        self._lerpDelay = vectorLength / self.walkSpeed
 
         # Avoid divisions by zero:
         self._lerpDelay = max(self._lerpDelay, 0.01)