public void OnMainGripGrabbed(RagdollHand interactor, Handle handle, EventTime eventTime)
{
if (interactor.playerHand == Player.local.handRight)
{
gunGripHeldRight = true;
}
if (interactor.playerHand == Player.local.handLeft)
{
gunGripHeldLeft = true;
}
if (!gunGripHeldLeft && !gunGripHeldRight)
{
if (isEmpty)
{
ReloadWeapon();
}
thisNPC = interactor.ragdoll.creature;
thisNPCBrain = thisNPC.brain.instance;
BrainBow = thisNPCBrain.GetModule <BrainModuleBow>();
BrainMelee = thisNPCBrain.GetModule <BrainModuleMelee>();
BrainParry = thisNPCBrain.GetModule <BrainModuleParry>();
thisNPC.brain.currentTarget = Player.local.creature;
thisNPC.brain.isParrying = true;
BrainMelee.meleeEnabled = module.npcMeleeEnableOverride;
}
}
private static bool Prefix(BrainData __instance)
{
if (__instance != null)
{
return(!__instance.targetCreature.FreezeData().IsCreatureFrozen);
}
return(true);
}
public void Initialize()
{
if (myRagdollPart)
{
NPC = myRagdollPart.ragdoll.creature;
brain = NPC.brain;
foreach (RagdollPart part in NPC.ragdoll.parts)
{
if (part.name == "Part_LeftHand")
{
leftHand = part;
}
if (part.name == "Part_RightHand")
{
rightHand = part;
}
}
if (module.choking)
{
if (NPC.umaCharacter.GetSex() == UMAPreset.Sex.Male)
{
if (item.transform.Find("MaleChokeSFX"))
{
chokeSFX = item.transform.Find("MaleChokeSFX").GetComponent <AudioSource>();
}
else
{
Debug.Log("AudioSource not found");
}
}
else if (NPC.umaCharacter.GetSex() == UMAPreset.Sex.Female)
{
chokeSFX = item.transform.Find("FemaleChokeSFX").GetComponent <AudioSource>();
}
else
{
Debug.Log("NPC is neither male or female");
}
}
}
else
{
Debug.Log("MyRagdollPart doesn't exist!");
}
}
public void OnMainGripUnGrabbed(RagdollHand interactor, Handle handle, EventTime eventTime)
{
if (interactor.playerHand == Player.local.handRight)
{
gunGripHeldRight = false;
}
if (interactor.playerHand == Player.local.handLeft)
{
gunGripHeldLeft = false;
}
if (thisNPC != null)
{
thisNPC = null;
thisNPCBrain = null;
BrainBow = null;
BrainMelee = null;
BrainParry = null;
}
}
private void Start()
{
brainData = ReadData();
completePath = dataPrefix + brainData.dataType + "_" + brainData.dataIndex;
Debug.Log(completePath);
}
public void RunAndSaveData(BrainData data, CompleteData cData)
{
float[] _input = data.input;
float[] _hidden = data.hidden;
float[] _output = data.output;
float[][] _repition = data.repition;
int wIndex;
int repitionWIndex;
ActivateNeuronFormula activeNeuronFormula;
if (hidden.Length > 0)
{
int lastNeuronAmount = 0;
float[] wArray;
float[] biasArray;
float[] repitionWArray;
for (int i = 0; i < hidden.Length; i++)
{
wArray = hiddenConnection[i].wArray;
biasArray = hidden[i].biasArray;
activeNeuronFormula = hidden[I].activeNeuronFormula;
float[] io_;
int io__;
if (i == 0)
{
io_ = input;
io__ = input.Length;
}
else
{
io_ = _hidden;
io__ = lastNeuronAmount;
}
if (hidden[i].repition == true)
{
float[] irep = _repition[i];
repitionWArray = repitionConnection[i].wArray;
Array.Copy(irep, cData.repitionBuffer[i], irep.Length);
wIndex = 0;
repitionWIndex = 0;
int k = biasArray.Length;
while (k-- > 0)
{
float kbia = biasArray[k];
int j = io__;
while (j-- > 0)
{
kbia += io_[j] * wArray[wIndex++];
}
j = irep.Length;
while (j-- > 0)
{
kbia += irep[j] * repitionWArray[repitionWIndex++];
}
_hidden[k] = activeNeuronFormula(kbia);
}
Array.Copy(_hidden, irep, biasArray.Length);
}
else
{
wIndex = 0;
int k = biasArray.Length;
while (k-- > 0)
{
float kbia = biasArray[k];
int j = io__;
while (j-- > 0)
{
kbia += io_[j] * wArray[wIndex++];
}
_hidden[k] = activeNeuronFormula(kbia);
}
}
Array.Copy(_hidden, cData.buffer[i], biasArray.Length);
lastNeuronAmount = biasArray.Length;
}
activeNeuronFormula = output.ActivateNeuronFormula;
wArray = outputConnection.wArray;
biasArray = output.biasArray;
wIndex = 0;
repitionWIndex = 0;
int i = _output.Length;
while (i-- > 0)
{
float ibia = biasArray[i];
int k = lastNeuronAmount;
while (k-- > 0)
{
ibia += _hidden[k] * wArray[wIndex++];
}
_output[i] = activeNeuronFormula(ibia);
}
}
else
{
activeNeuronFormula = output.ActivateNeuronFormula;
float[] wArray = outputConnection.wArray;
float[] biasArray = output.biasArray;
wIndex = 0;
repitionWIndex = 0;
int i = _output.Length;
while (i-- > 0)
{
float ibia = biasArray[i];
int k = _input.Length;
while (k-- > 0)
{
ibia += _input[k] * wArray[wIndex++];
}
_output[i] = activeNeuronFormula(ibia);
}
}
}
private static bool Prefix(BrainData __instance)
{
return(!Instance.IsTimeFrozen);
}
