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using a breadboard it can trigger an ACB to fire flares.\nIsAvoidingMissileUrgent = \"Y\"\nIsAvoidingMissilePanic = \"G\"\nGTFO = \"H\"\n\nPanicTti  = 0.35\nUrgentTti = 1.00\t\t\t\t\nWarnedTti = 1.50\t\nLastRunTime = 0\nAvoidanceRadius = 20\nAltMin = 60\nSpeedMin = 50\n\n\nfunction CallComplexControl(I, keyRequested)\n\n--T G Y H U J I K O L up down left right\n\nif keyRequested == nil then return end\nif string.len(keyRequested) == 0 then return end\n\nkeyRequested = string.upper(keyRequested)\n\nstim = 0\nif     keyRequested == \"T\" then stim = 1 \nelseif keyRequested == \"G\" then stim = 2 \nelseif keyRequested == \"Y\" then stim = 3 \nelseif keyRequested == \"H\" then stim = 4 \nelseif keyRequested == \"U\" then stim = 5 \nelseif keyRequested == \"J\" then stim = 6 \nelseif keyRequested == \"I\" then stim = 7 \nelseif keyRequested == \"K\" then stim = 8 \nelseif keyRequested == \"O\" then stim = 9 \nelseif keyRequested == \"L\" then stim = 10 \nelseif keyRequested == \"UP\" then stim = 11 \nelseif keyRequested == \"DOWN\" then stim = 12 \nelseif keyRequested == \"LEFT\" then stim = 13 \nelseif keyRequested == \"RIGHT\" then stim = 14 \nend\n\n\nif stim > 0 then \n\tI:RequestComplexControllerStimulus(stim) \n\tI:Log(\"ComplexKey Output: \" .. keyRequested)\n\n\telse\n\tI:Log(\"Requested Output '\" .. keyRequested .. \"' not recognized\")\n\nend\n\nend\n\nfunction GetNumberOfWarnings(I)      \n\t  if unexpected_condition then error() end   \n\t  return I:GetNumberOfWarnings()       \nend\n\nfunction GetMissileWarnings(I,ii)    \n\t  if unexpected_condition then error() end   \n\t  return I:GetMissileWarning(ii)\nend\n\n\n\n\nfunction Jink(I)\n\nif I:GetNumberOfTargets(0) > 0 then\n\n targetPosInfo = I:GetTargetPositionInfo(0, 0)\n targetAltitude = targetPosInfo.AltitudeAboveSeaLevel\n\n myPos = I:GetConstructPosition()\n targetPos = targetPosInfo.Position\n targetDir = targetPosInfo.Direction\n\n targetVel = targetPosInfo.Velocity\n worldDirection = myPos - targetPos\n\nTargetSpeed = targetVel.magnitude\n distance = worldDirection.magnitude\n targetDot = Vector3.Dot(targetVel/TargetSpeed, worldDirection/distance)\n\n behind = targetDot < 0.25\n PointAtUs = (targetDot > 0.707) \n\n\n\nif PointAtUs == true and TargetSpeed > SpeedMin then\n                 \n\tCallComplexControl(I, GTFO)\n                 I:LogToHud(string.format(\"Jinking\"))\n                 I:Log(Jink)\nend\nend\n\n\nend\n\n\n\n\n\nfunction MissileAvoidance(I)\n\t\n\tmissileRan, NumberOfWarnings = pcall(GetNumberOfWarnings, I) \n\t\t\n\tif not missileRan then \n\t\n\t\tI:Log(\"Captured GetMissileWarnings Er\\ror: \" .. NumberOfWarnings)\n\t\n\treturn \n\tend\n\t\n\tif UseMissileAvoidance == false or NumberOfWarnings == 0 then return false end -- no dodge needed \n\t\n\tPanicMissilesFound = 0\n\tUrgentMissilesFound = 0\n\tWarnedMissilesFound = 0\n\t\n\tPanicMissilePos = {}\n\tUrgentMissilePos = {}\n\tWarnedMissilePos = {}\n\n\n\tmyPos = I:GetConstructPosition()\n\tmyVel = I:GetVelocityVector()\n\tmySpeed = I:GetVelocityMagnitude()\n\n\t\n\tfor ii=0,NumberOfWarnings-1,1 do\n\n\t\tmissileInfoRan, MissileInfo = pcall(GetMissileWarnings,I, ii) \n\t\t\n\t\tif not missileInfoRan  then\n\t\t\tI:Log(\"Captured GetMissileWarnings Error: \" .. MissileInfo)\n\t\tend\n\t\t\n\t\tif MissileInfo == nil then goto continue end\n\n\tif missileInfoRan then\n\t\t\tif MissileInfo.Valid then\n\t\t\t\t\n\t\t\t\ttargetPos = MissileInfo.Position\n\t\t\t\ttargetVel = MissileInfo.Velocity\n\t\t\t\t\n\t\t\t\tMissileDirection = myPos - targetPos\n\t\t\t\tMyDirection = targetPos - myPos\n\t\t\t\t\n\t\t\t\tdistance = MyDirection.magnitude - AvoidanceRadius\n\t\t\t\ttargetSpeed = targetVel.magnitude\n\t\t\t\t\n\t\t\t\ttargetDot = Vector3.Dot(targetVel.normalized, MissileDirection.normalized)\n\t\t\t\tmyDot = Vector3.Dot(myVel.normalized, MyDirection.normalized)\n\t\t\t\t\n\t\t\t\ttti = 99999\n\t\t\t\trelativeSpeed = (targetSpeed*targetDot + mySpeed*myDot)\n\t\t\t\t\n\t\t\t\tif relativeSpeed > 0 then tti = distance / relativeSpeed end\n\t\t\t\n\n\t\t\t\tif tti < PanicTti then\n\t\t\t\t\tPanicMissilesFound = PanicMissilesFound + 1\n\t\t\t\t\ttable.insert(PanicMissilePos, targetPos)\n\t\t\t\t\t\n\t\t\t\telseif tti < UrgentTti then\n\t\t\t\t\tUrgentMissilesFound = UrgentMissilesFound + 1\n\t\t\t\t\ttable.insert(UrgentMissilePos, targetPos)\n\t\t\t\t\t\n\t\t\t\telseif tti < WarnedTti then\n\t\t\t\t\tWarnedMissilesFound = WarnedMissilesFound + 1\n\t\t\t\t\ttable.insert(WarnedMissilePos, targetPos)\n\t\t\t\tend\n\t\t\t\t\n\t\t\tend\n\t\tend\n\t\t ::continue::\n\tend\n\n\tI:Log(string.format(\"MISSILES! Panic: %.0f  Urgent: %.0f Warned: %.0f Ignored: %.0f\", PanicMissilesFound, UrgentMissilesFound, WarnedMissilesFound, NumberOfWarnings - (UrgentMissilesFound + WarnedMissilesFound)))\n\t\t\t\n\tif PanicMissilesFound + WarnedMissilesFound + UrgentMissilesFound == 0 then return false end --no missiles need avoiding.\n\t\n\tI:LogToHud(string.format(\"MISSILES! Panic: %.0f  Urgent: %.0f Warned: %.0f Ignored: %.0f\", PanicMissilesFound, UrgentMissilesFound, WarnedMissilesFound, NumberOfWarnings - (UrgentMissilesFound + WarnedMissilesFound)))\n\n\t\t\n\tif PanicMissilesFound > 0 then\n\t\tCallComplexControl(I, IsAvoidingMissilePanic)\n\telseif UrgentMissilesFound > 0 then \n\t\tCallComplexControl(I, IsAvoidingMissileUrgent) \n\telseif WarnedMissilesFound > 0 then\n\t\tCallComplexControl(I, IsAvoidingMissile)\n\telse\n\tend\n\tI:Log(\"Avoiding Missile\")\n\t\n\n\n\treturn true -- we are dodging missiles\n\n\n\nend\n\n\nfunction SetCurrentValues(I)\n\tFrameTime = I:GetTimeSinceSpawn() - LastRunTime\n\tLastRunTime = I:GetTimeSinceSpawn()\n\n\tif DebugMode then I:Log(string.format(\"FrameTime %.5f\", FrameTime)) end\n\t \n\n\tSpeedCurrent = I:GetVelocityMagnitude()\n\tAltitudeCurrent = math.min(I:GetConstructPosition().y, I:GetConstructPosition().y - I:GetTerrainAltitudeForLocalPosition(0,0,0))\nend\n\n\n\n\t\nfunction Update(I)\n\tI:ClearLogs()\n\t\n\t--InitAI(I)\n\tSetCurrentValues(I)\n\n\tif MissileAvoidance(I) then return end\n\tif Jink(I) then return end\nend\n"],"BlockStringDataIds":[5],"GameVersion":"3.2.8.1","PersistentSubObjectIndex":4,"PersistentBlockIndex":45,"AuthorDetails":{"Valid":true,"ForeignBlocks":1,"CreatorId":"8182f9f2-e025-4d32-a76b-f8354112bbfa","ObjectId":"d342a945-30a6-49c7-940f-4a079ee1bf2c","CreatorReadableName":"EigenFunction","HashV1":"1e75b2d44caf9344e608031e3d615d7e"},"BlockCount":141}}