NamedScript void UpdateShopAutoList()
{
ArrayCreate(&Player.AutoSellList, "Auto-Sell", 128, sizeof(ItemInfoPtr));
ArrayCreate(&Player.AutoStoreList, "Auto-Store", 128, sizeof(ItemInfoPtr));
for (int i = 0; i < ItemCategories; i++)
{
for (int j = 0; j < ItemMax[i]; j++)
{
if (Player.AutoSellList.Position == Player.AutoSellList.Size)
ArrayResize(&Player.AutoSellList);
if (Player.AutoStoreList.Position == Player.AutoStoreList.Size)
ArrayResize(&Player.AutoStoreList);
if (Player.ItemAutoMode[i][j] == AT_SELL)
{
ItemInfoPtr Item = &ItemData[i][j];
LogMessage(StrParam("Sell List Position: %i Sell List Size: %i", Player.AutoSellList.Position, Player.AutoSellList.Size), LOG_DEBUG);
LogMessage(StrParam("Adding %S to auto-sell @ %p", ItemData[i][j].Name, Item), LOG_DEBUG);
((ItemInfoPtr *)Player.AutoSellList.Data)[Player.AutoSellList.Position++] = Item;
}
else if (Player.ItemAutoMode[i][j] == AT_STORE)
{
ItemInfoPtr Item = &ItemData[i][j];
LogMessage(StrParam("Store List Position: %i Store List Size: %i", Player.AutoStoreList.Position, Player.AutoStoreList.Size), LOG_DEBUG);
LogMessage(StrParam("Adding %S to auto-store @ %p", ItemData[i][j].Name, Item), LOG_DEBUG);
((ItemInfoPtr *)Player.AutoStoreList.Data)[Player.AutoStoreList.Position++] = Item;
}
// LogMessage(StrParam("Completed Item #%i, %S", j, ItemData[i][j].Name), LOG_DEBUG);
}
}
LogMessage("Completed AutoUpdateShopList", LOG_DEBUG);
}
//NOTE: Test me.
void AnimalArrayInsert(struct Array* _Array, struct Animal* _Animal) {
const struct Population* _PopType = _Animal->PopType;
struct Animal* _TempAn = NULL;
int _FoundType = 0;
if(_Array->Size >= _Array->TblSize)
ArrayResize(_Array);
if(_Array->Size == 0) {
_Array->Table[0] = _Animal;
++_Array->Size;
return;
}
for(int i = 0; i < _Array->Size; ++i) {
_TempAn = (struct Animal*) _Array->Table[i];
if(_TempAn->PopType == _PopType) {
_FoundType = 1;
} else if(_FoundType == 1) {
_Array->Table[i] = _Animal;
_Animal = _TempAn;
_FoundType = 2;
}
}
if(_FoundType == 1) {
_Array->Table[_Array->Size++] = _Animal;
} else if(_FoundType == 2) {
++_Array->Size;
}
}
void ArraySet_S(struct Array* Array, void* Data, uint32_t Idx) {
while(Array->Size >= Idx) {
ArrayResize(Array);
}
if(Array->Table[Idx] != NULL) ++Array->Size;
Array->Table[Idx] = Data;
}
//-----------------------------------------------------------------------------------------------
void calc_alpha_volatility (double Input_Array[], int param_counted_bars)
{
// Calculate alpha index of vols[]
// using least squares algorithm.
// Adapted by E Farrell 2013
// source supplied by J Blackledge 2012
// initialize R & T
ArrayResize(T,Lookback);
ArrayResize(R,Lookback);
// set up the T array
for(int t = 1; t <= Lookback; t++)
T[t-1] = MathLog(t);
for(int i = phase_lookback; i >= 0; i--)
{
// Create autocorrelation array for R,
// based on "Input_Array"
BuildRArray (Lookback, i, Input_Array);
// Calculate alpha index
// of volatility
levy_vol[i] = -GetHurstExponent(Lookback, T, R);
if (DEBUG == 1)
{
// Output array values to Expert Log
//Print("\t levy_vol[\t", DoubleToStr(i,0), "\t] \t", DoubleToStr(levy_vol[i],6));
file_result = FileWrite (file_handle, "levy_vol", i, levy_vol[i]);
}
}
}
void calc_regression (double y[], int n)
{
// initialise array
// to hold x values
double x[];
ArrayResize (x, n);
int i;
double SUMx, SUMy, SUMxy, SUMxx;
double slope, y_intercept;
SUMx = 0;
SUMy = 0;
SUMxy = 0;
SUMxx = 0;
for (i=0; i < n; i++)
{
x[i] = i;
SUMx = SUMx + x[i];
SUMy = SUMy + y[i];
SUMxy = SUMxy + x[i]*y[i];
SUMxx = SUMxx + x[i]*x[i];
}
// formula for regression line
slope = (SUMx*SUMy - n*SUMxy) / (SUMx*SUMx - n*SUMxx);
y_intercept = (SUMy - slope*SUMx) / n;
// create the regression line
// using the formula from above
for (i=0; i < n; i++)
{
least_squares_line[i] = slope*x[i] + y_intercept;
}
}
void ArrayInsert_S(struct Array* Array, void* Data) {
if(Array->Size >= Array->TblSize) {
ArrayResize(Array);
}
Array->Table[Array->Size++] = Data;
}
