SRL Archive - Archive

How Long have You Played Runescape?
8 Year(s)


Are you affilated in anyway with Jagex LTD?
No

Were you Referred to SRL?
I was not referred


What is your general programming knowledge?
PHP, Java, perl, python, pascal


Are you a member of any other communities?
Not really


Tell us about yourself…

From: SeanStar
Name's Sean, if you hadn't figured that out by my username. I'm 17 years old.

I'm a programmer and general video game junkie. I enjoy solving problems and helping others solve their problems. I'm more of a lurker on forums than a poster, I read a lot but hardly ever post unless I'm directly replying to someone or contributing. I do web design and security freelancing for side cash at the moment and plan on turning it into an actual full time job. I love open source projects and the communities surrounding them.

If you ask me for help, I'll almost always help you if I can.

Please show us one (or multiple) of your scripts.
[EOC] SeanStar's Waterfiender - http://villavu.com/forum/showthread.php?t=95024
http://pastebin.com/3DJ0Vp74

Program SeanStarsWaterfiender;
{$DEFINE SMART}
{$include_once SRL/SRL.simba}
{$include_once SPS/SPS.simba}
{$include_once SRL/SRL/Misc/Debug.simba}
{$include_once SRL/SRL/core/animation.simba}
{$include_once SRL/SRL/skill/magic.simba}
{$IFDEF SIMBAMAJOR980}
  {$I SRL/SRL/Misc/PaintSmart.Simba}
{$ELSE}
  {$I SRL/SRL/Misc/SmartGraphics.Simba}
{$ENDIF}
const
  Version = '1.0';


  //-------------- SeanStar's Waterfiender --------------//
  //v.1.0                                                //
  //Last edited January 10th, 2013                        //


{
Instructions:
Set Zoom to around 60-75%, brightness to maximum (100%)
BRING A SHIELD! Doesn't need to be equiped, just using for rejuvenate!
Equip all your favorite gear. Recommended to use range, they are weak to bolts!
Fill in action bar.

--ACTION BAR--
SLOT 1: REJUVENATE ABILITY
SLOT 2: NORMAL ABILITY (Frequent Damage Use Ability)
SLOT 3: 50% Adrenaline Ability
SLOT 4: 50% Adrenaline Ability
SLOT 5: 100% Adrenaline Ultimate Ability
SLOT 6: SHIELD! VERY IMPORTANT!
SLOT 7: EITHER OFFHAND WEAPON OR 2H WEAPON, NEEDED TO RE-EQUIP AFTER REJUVENATE!
SLOT 8: Not Used - Anything you want!
SLOT 9: ONE CLICK EMERGENCY TELEPORT! RECOMMEND: TELEPORT TABLET!
SLOT -: Not Used - Anything you want!
SLOT =: EMERGENCY FOOD ITEM!

Go to chaos dungeon, and go to the waterfiends
Fill out setup, start script with action bar open!
}


////////////////////////////////SETUP///////////////////////////////////////////////

  //---LOGIN---
  Username = ''; //Fill these out if you want the script to log in for you (recommended)
  Password = '';

  //---ABILITIES---
  SwingSpeed = 3450;   //(3450 = 2x or 1h with shield) (4150 = 2h);

  NormalAbilityKey = '2'; //slice/wrack/piercing-shot/ which key is it bound to?

  UseThreshold1= True;   //threshold ability 1 (50% adrenaline needed)
    Threshold1Key = '3'; //Recommended Slot 3
    Threshold1CoolDown = 20000;  //milliseconds
  UseThreshold2= True;   //threshold ability 2 (50% adrenaline needed)
    Threshold2Key = '4'; //Recommended Slot 4
    Threshold2CoolDown= 30000;   //milliseconds
  UseUltimate =  True;   //100% Adrenaline needed
    UltimateKey = '5'; //Recommended Slot 5
    UltimateCoolDown = 60000;//milliseconds

  //---POTIONS---
  UsePotion = True;
    PotionStat = 'Ranged';   //what does the potion raise? SPELL CORRECTLY.
    PotionKey = '0';     //what key is it bound to? ("-" doesn't work)
    DrinkAt = 99;    //what level to drink this potion at?

  PotionTimer = 300;    //how often (seconds) to check potion stats. (300+ for overload, otherwise 90 recommended)
  RandomPotTime = 20;   //+ random time to check potions. (seconds)(30~ for overload, otherwise 90 recommended)

  //---EMERGENCY FOOD---
  EatAtHP = 3000;   // What HP # to eat at? Turn to 0 if not eating food.
  ColorOfFood = 5729155;    //what color is the food in inventory? use the color picker.
  FoodName = 'Shark';   //What are you eating? put it in the LAST SLOT on action bar!!!

  //---XPCOUNTER---
  TrainedSkill = 'Defence';    //Have XP counter open, and the trained skill being tracked
  XPCounterPosition = 3;    //Which XP Counter should the script read? 1 2 or 3

  //---EMERGENCY TELEPORT---
  UseTeleport = True;   //Use One Click Teleport to teleport away if low health? true or false.
    TeleportKey = '9'; //Slot/Key for One Click Teleport?
    TeleportAtHP = 1500;    //Teleport at what HP?
    TeleportOnStuck = True; //Reccommended: True.

  //---CAMERA---
  TurnAmount = 11;

  //---PAINT---
  PaintProggy = True;

//ADVANCED OPTIONS:
Bannability = 4700; //At least 1000. Higher = less antiban the script does.
DebugWindow = False;// Turn this to True to see what the script is seeing. may crash SIMBA.
Debug = False; //Debugging for Dynamic Array...

////////////////////////////////END SETUP///////////////////////////////////////////


/////VVVVV |DON'T TOUCH THIS SHIT UNLESS YOU KNOW WHAT YOU'RE DOING!| VVVVV/////////

var
  MonsterCols,MonsterTols:array of Longint;
  Eating, HasTeleported, PotionRemains : Boolean;
  No_Target : integer;
  Usedthreshold1, Usedthreshold2, Usedultimate, HP, TimesTry, RejuvTime,
  TimeLastClick, StartTime, StartingXP, TotalKillsPublic, TimesUsedRejuvenate,
  LastInCombat, AttackTime, TimesBeforeTurn, FoodEaten,
  PotionLevelBase, PotionLevelCurrent,
  SaveAdrenalineForRejuv, UsedPot, ThePotionTime, PotionTotal, X, Y, CharmCount, charm1, charm2, charm3, charm4, startcharm1, startcharm2, startcharm3, startcharm4: integer;
  mainloopcolorstring : string;
  FPTPA: T2DPointArray;
  FPTimeStamp: TIntegerArray;

Function InCombat() : boolean;
var
  x,y : integer;
begin
  if (TimeFromMark(TimeLastClick) > 90000) then
  begin
    result := false
    writeln('FAILSAFE: Haven''t attacked waterfiend for 90 seconds. Logging out in 5 minutes...');
    exit;
  end;
  if not (GetCurrentTab = tab_Combat) then
    GameTab(tab_Combat);
  Result := false
  Result := not(FindDTM(No_Target, x, y, MIx1, MIy1, MIx2, MIy2));
  if (Result = True) then
  begin
    TimesBeforeTurn := 0;
    MarkTime(LastInCombat);
    exit;
  end;
end;

procedure GetStartingXP;
var i: integer;
begin
  repeat
    StartingXP := GetXPBar(XPCounterPosition);
    i := i + 1;
  until (i>=25) or (StartingXP > -1)
  if (i>24) then
  begin
    writeln('Failed to get XP counter, terminating script.');
    terminatescript();
  end;
  writeln('Success Reading XP: Starting XP is '+ inttostr(StartingXP) + ' ' + TrainedSkill + ' XP.');
end;

procedure Proggy();
var CurrentXp, Bmp: integer;
  GainedXP, XPPerHour, Timerun : Extended;
begin
      TimeRun := TimeFromMark(StartTime);
      CurrentXP := GetXPBar(XPCounterPosition);
      GainedXP:= CurrentXP - StartingXP;
      XPPerHour := Round(GainedXP * (3600000 / TimeRun));
        writeln('///////SeanStar''s Waterfiender v' + Version +'///////');
        WriteLn('//Time Running: ' + MsToTime(Round(TimeRun),Time_Formal));
        writeln('//[' + FloatTostr(GainedXP) + ' ' + TrainedSkill + ' Xp] Gained');
        writeln('//[' + FloatToStr(XPPerHour) + ' Xp/Hour]');
        writeln('//[' + IntToStr(charm1) + '/' + IntToStr(charm2) + '/' + IntToStr(charm3) + '/' + IntToStr(charm4) + '] Charms Gathered');
        writeln('//[' + FloatToStr(Round(charm1 * (3600000 / TimeRun))) + '/' + FloatToStr(Round(charm2 * (3600000 / TimeRun))) + '/' + FloatToStr(Round(charm3 * (3600000 / TimeRun))) + '/' + FloatToStr(Round(charm4 * (3600000 / TimeRun))) + '] Charms/Hour');
    if TotalKillsPublic = 1 then
    begin
      writeln('//[1 Kill]');
  end;
    if TotalKillsPublic > 1 then
    begin
      writeln('//[' + inttostr(TotalKillsPublic) + ' Kills]');
  end;
    if FoodEaten = 0 then
    begin;
      Writeln('//[No '+ FoodName + ' Eaten]');
  end;
    if FoodEaten = 1 then
    begin
    writeln('//[1 ' + Foodname + '] Eaten.');
  end;
    if FoodEaten > 1 then
    begin
      writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
    end;
    if (PotionTotal > 0) then
    begin
    writeln('//Used Potion [' + inttostr(PotionTotal) + ' Times]');
    end;
    if TimesUsedRejuvenate = 1 then
    begin
      writeln('//Used Rejuvenate [1 Time]');
      end;
    if TimesUsedRejuvenate >1 then
    begin
      writeln('//Used Rejuvenate [' + inttostr(TimesUsedRejuvenate) + ' Times]');
    end;
  writeln('//////////////////////////////////////');
  if PaintProggy then
  begin
    Bmp := BitmapFromString(506, 114, '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');
    SMART_DrawBitmap(True, Bmp, Point(MCX1+3, MCY1+3));
    SMART_DrawText(MCX1+10, MCY1 + 10, SmallChars, 'Time Running: ' + MsToTime(Round(TimeRun),Time_Formal), clWhite);
    SMART_DrawText(MCX1+10, MCY1 + 25, SmallChars, 'You have gained ' + FloatTostr(GainedXP) + ' ' + TrainedSkill + ' experience.', clWhite);
    SMART_DrawText(MCX1+10, MCY1 + 40, SmallChars, 'You are gaining ' + FloatToStr(XPPerHour) + ' ' + TrainedSkill + ' experience an hour.', clWhite);
    SMART_DrawText(MCX1+10, MCY1 + 55, SmallChars, 'You have killed ' + IntToStr(TotalKillsPublic) + ' waterfiends.', clWhite);
    SMART_DrawText(MCX1+10, MCY1 + 70, SmallChars, 'Used ' + IntToStr(foodeaten) + ' Food.', clWhite);
    SMART_DrawText(MCX1+10, MCY1 + 85, SmallChars, 'Used ' + FloatToStr(PotionTotal) + ' Potion Dose(s).', clWhite);
    SMART_DrawText(MCX1+10, MCY1 + 100, SmallChars, 'Used ' + IntToStr(TimesUsedRejuvenate) + ' Rejuvenate(s).', clWhite);
    SMART_DrawText(MCX1+230, MCY1 + 67, SmallChars, 'Charms:', clWhite);
    SMART_DrawText(MCX1+230, MCY1 + 81, SmallChars, 'Charms\H:', clWhite);
    SMART_DrawText(MCX1+305, MCY1 + 67, SmallChars, IntToStr(charm1), clWhite);
    SMART_DrawText(MCX1+360, MCY1 + 67, SmallChars, IntToStr(charm2), clWhite);
    SMART_DrawText(MCX1+415, MCY1 + 67, SmallChars, IntToStr(charm3), clWhite);
    SMART_DrawText(MCX1+470, MCY1 + 67, SmallChars, IntToStr(charm4), clWhite);
    SMART_DrawText(MCX1+305, MCY1 + 81, SmallChars, FloatToStr(Round(charm1 * (3600000 / TimeRun))), clWhite);
    SMART_DrawText(MCX1+360, MCY1 + 81, SmallChars, FloatToStr(Round(charm2 * (3600000 / TimeRun))), clWhite);
    SMART_DrawText(MCX1+415, MCY1 + 81, SmallChars, FloatToStr(Round(charm3 * (3600000 / TimeRun))), clWhite);
    SMART_DrawText(MCX1+470, MCY1 + 81, SmallChars, FloatToStr(Round(charm4 * (3600000 / TimeRun))), clWhite);
    SMART_DrawLine(False, Point(MCX1+295, MCY1+80), Point(MCX1+495, MCY1+80), clWhite);
    FreeBitmap(Bmp);
  end;
end;

procedure DebugPoints(TPA: TPointArray; ATPA: Array of TPointArray);
var
  BMP, Color, x, y, i : Integer;
  TPABox : TBox;
begin
  BMP := BitmapFromClient(0,0,MSX2,MSY2);
  DrawTPABitmap(BMP,TPA,ClRed);

  for i := 0 to high(ATPA) do
  begin
    if i = 0 then
      Color := ClYellow
    else
      Color := ClBlack;

    TPABox := GetTPABounds(ATPA[i]);
    for x := TPABox.x1 to TPABox.x2 do
    begin
      FastSetPixel(BMP,x,TPABox.y1,Color)
      FastSetPixel(BMP,x,TPABox.y2,Color)
    end;
    for y := TPABox.y1 to TPABox.y2 do
    begin
      FastSetPixel(BMP,TPABox.x1,y,Color)
      FastSetPixel(BMP,TPABox.x2,y,Color)
    end;
  end;

  DebugBitmap(BMP);
  FreeBitmap(BMP);
end;
{CREDITS TO ASHAMAN88 FOR GETMAXHP BELOW}
Function HPLevel: Integer;
Var
  ColourString: String;
Begin
  Result:= GetMMLevels('HP', ColourString);
End;

Function GetMaxHP: Extended;
Var
  Text: String;
  B, BigBox: TBox;
  TPA : TPointArray;
  ATPA : T2DPointArray;
  I,cts: Integer;
  BoxColors: TIntegerArray;
Begin
  GameTab(Tab_Combat);
  MouseBox(650,394-50,682,401-50, 1);
  Wait(RandomRange(500,700));

  B := IntToBox(594, 365-50, 694, 394-50);
  cts := GetColorToleranceSpeed;
  ColorToleranceSpeed(1);
  //            Black
  BoxColors := [1774603];
  SetLength(ATPA, Length(BoxColors));
  for i := 0 to High(BoxColors) do
    FindColorsTolerance(ATPA[i], BoxColors[i], B.X1, B.Y1, B.X2, B.Y2, 0);
  TPA := MergeATPA(ATPA);
  If Length(TPA) < 10 Then
  begin
    Writeln('Not enough colors');
    ColorToleranceSpeed(cts);
    Exit;
  end;

  ATPA := SplitTPA(TPA, 4);
  For i := 0 to High(ATPA) do
  begin
    B := GetTPABounds(ATPA[i]);
    if ((B.x2-B.x1) > 4) and ((B.y2-B.y1) > 4) then
      Break
    else
      B := IntToBox(0, 0, 0, 0);
  end;

  If (B.x2 = 0) then
  begin
    ColorToleranceSpeed(cts);
    Exit;
  end;

  BigBox := B;

  Text:= GetTextAtExWrap(BigBox.X1, BigBox.Y1, BigBox.X2, BigBox.Y2, 0, 5, 2, 3111603, 10, 'UpChars');
  Text:= Copy(Text, 0, High(Text)-1);
  If (StrToIntDef(Text, 0)=100) Then
    Result:=HPLevel Else
    Result:= (HPLevel*100)/(StrToIntDef(Text, 0));
End;
{CREDITS TO ASHAMAN88 FOR GETMAXHP ABOVE}
{TAKEN FROM SHATTERHAND'S CHAOSMOSSKILLER, CREDITS TO SHATTERHAND}
function FindRedBar : Boolean;                                                  //returns True if a full red hp bar is found
var
  RedBarDTM1, RedBarDTM2: Integer;
begin
  Result := False;
  RedBarDTM1 := DTMFromString('mlwAAAHicY2dgYDBnZmCQBWIZKB0ExQpA3AiUr2OA0C1QDOPvZOBgsGZnwsBdDIwM+AAjHgwFAAvPB5w={mlwAAAHicY2dgYDBnZmCQBWIZKB0ExQpA3AiUr2OA0C1QDOPvZOBgsGZnwsBdDIwM+AAjHgwFAAvPB5w=}'); //two DTMs just in case
  RedBarDTM2 := DTMFromString('mlwAAAHicY2dgYDBnZmCQBWIZKB0ExQpA3AiUr2OA0C1QDOPvZOBgsGZnwsBdDIwM+AAjHgwFAAvPB5w={mlwAAAHicY2dgYDBnZmCQBWIZKB0ExQpA3AiUr2OA0C1QDOPvZOBgsGZnwsBdDIwM+AAjHgwFAAvPB5w=}');

  if FindDTM(RedBarDTM1,X,Y,MSX1,MSY1,MSX2,MSY2) or
     FindDTM(RedBarDTM2,X,Y,MSX1,MSY1,MSX2,MSY2) then
  begin
    //Writeln('Found redbar, we killed it.');
    SMART_DrawBoxEx(false,false,IntToBox(X-30,Y-10,X+30,Y+10),ClYellow);      //drawing box around the redbar
    Wait(50);
    SMART_ClearCanvasArea(IntToBox(0,MSY1,520,MSY2+50));
    Result := True;
  end;
  FreeDTM(RedBarDTM1);
  FreeDTM(RedBarDTM2);
end;
{END SHATTERHAND'S REDBAR FUNCTION}

procedure Deallocate;
var
  NewLength, TimeRun, i, a, b, c: Integer;
  //tmpTPA: T2DPointArray;
  //tmpTimeStamp: TIntegerArray;
begin
  TimeRun := Round(TimeFromMark(StartTime) / 1000);
  a := 0;
  for i:=0 to high(fptimestamp) do
  begin
    if ((fptimestamp[i] +15) < TimeRun) then
    begin
      a := i+1;
    end;
  end;
  if (a > 0) then
  begin
    NewLength := (Length(fptimestamp) - a);
    if Debug then
      WriteLn('Old FP TPA Found, cleaning array. New Length: ' + IntToStr(NewLength));
    {for b:=a to high(fptimestamp) do
    begin
      tmpTPA[b-a] := FPTPA[b];
      tmpTimeStamp[b-a] := FPTimeStamp[b];
    end;
    SetLength(FPTPA, 0);
    SetLength(FPTimeStamp, 0); }
    for b:=0 to (NewLength -1) do
    begin
      c:= a+b;
      FPTPA[b] := FPTPA[c];
      FPTimeStamp[b] := FPTimeStamp[c];
    end;
    SetLength(FPTPA, NewLength);
    SetLength(FPTimeStamp, NewLength);
    //FPTPA := tmpTPA;
    //FPTimeStamp := tmpTimeStamp;
  end;
end;

function FindCharms: Boolean;
var
  arP: TPointArray;
  ATPA2: T2DPointArray;
  MP2,MP3: TPoint;
  TB: TBox;
  tmpCTS, TimeRun, i, a, b, c: Integer;
  Colors, Tolerances: Array of Integer;
begin
  tmpCTS := GetColorToleranceSpeed;
  ColorToleranceSpeed(1);
  Colors     := [3949675,3295859,2832994,2238318,3032169,2369910];
  Tolerances := [8,8,10,8,10,8];
  for a:=0 to High(Colors) do
  begin
    if FindColorsSpiralTolerance(MSCX, MSCY, arP, Colors[a], MSX1, MSY1, MSX2, 267, Tolerances[a]) then
    begin
      if (length(arP) > 5) then
      begin
        //writeln('Found Charm! TPA count: ' + IntToStr(length(arP)));
        ATPA2:= TPAtoATPAEx(arP, 25, 25);
        for i:=0 to high(atpa2) do
        begin
          MP2:= MiddleTPA(atpa2[i]);
          Deallocate;
          for b:=0 to high(fptpa) do
          begin
            MP3:= MiddleTPA(FPTPA[b]);
            TB:= IntToBox(MP3.x-10,MP3.y-10,MP3.x+10,MP3.y+10);
            if (PointInBox(MP2, TB)) then
            begin
              exit; //If this false positive is listed in our array, exit!
            end;
          end;
          Mouse(mp2.x, mp2.y, 4, 4, mouse_move);
          if WaitUpTextMulti(['lemental', 'fernal', 'xamine', 'amorak', 'arrior', 'alk here'], 500) then
          begin
            SetLength(fptpa, Length(fptpa)+1);
            SetLength(fptimestamp, Length(fptimestamp)+1);
            c := high(fptpa);
            TimeRun := Round(TimeFromMark(StartTime) / 1000);
            fptpa[c] := arP;
            fptimestamp[c] := TimeRun;
            if Debug then
                WriteLn('Setting FPTPA @ ' + IntToStr(fptimestamp[c]));
            Exit;
          end;
          ClickMouse2(False);
          if ChooseOptionMulti(['ake Crims', 'ithril arrow']) then
          begin
          Result := True;
          {end else
          begin
            case random(2) of
              0:CompassMovement(140,220,false);
              1:CompassMovement(-220,-140,false);
            end;  }
          end else
          begin
            SetLength(fptpa, Length(fptpa)+1);
            SetLength(fptimestamp, Length(fptimestamp)+1);
            c := high(fptpa);
            TimeRun := Round(TimeFromMark(StartTime) / 1000);
            fptpa[c] := arP;
            fptimestamp[c] := TimeRun;
            if Debug then
              WriteLn('Setting FPTPA @ ' + IntToStr(fptimestamp[c]));
          end;
        end;
      end;
    end else
    begin
      Result := False;
    end;
  end;
  ColorToleranceSpeed(tmpCTS);
  SetColorSpeed2Modifiers(0.2, 0.2);
end;



Procedure Antiban();
begin;
wait(randomrange(50,200));
  case random(Bannability) of
  0..20:
    begin
      compassmovement(-180,180,false);
    end;
  21..22:
    begin
      BoredHuman();
      KeyDown(VK_UP);
      Wait(750+Random(150));
      KeyUp(VK_UP);
    end;
  56..66:
    begin
    mmouse(381,250,381,250);
    end;
  68:
    begin
    ExamineInv;
    end;
  69:
    begin
    PickupMouse();
    end;
  70..71:
    begin
    HoverSkill('random',False);;
    end;
  72..115:
    begin
    if (HP < SaveAdrenalineForRejuv) then
      exit;
    if InCombat then
    begin
      case random(125) of
        0..24:
        begin
          if UseThreshold1 then
          begin
            Sendkeys(Threshold1Key,randomrange(5,15),randomrange(5,15));
          end;
        end;
        25..50:
          begin
            if UseThreshold2 then
            begin
              Sendkeys(Threshold2Key,randomrange(5,15),randomrange(5,15));
            end;
          end;
        51..75:
          begin
          if UseUltimate then
            begin
              Sendkeys(UltimateKey,randomrange(5,15),randomrange(5,15));
            end;
          end;
        76..124:
          begin
            Sendkeys(NormalAbilityKey,randomrange(5,15),randomrange(5,15));
          end;
        end;
      end;
    end;
  end;
end;

Procedure WaitForCombat (WaitTime : integer);
var
ClickMonsterTime : integer;
begin
    markTime(ClickMonsterTime);
    repeat
      wait(randomRange(50,90));
      AntiBan;
    until (TimeFromMark(ClickMonsterTime) > WaitTime) or InCombat;
    marktime(attacktime);
    attacktime := attacktime - swingspeed + randomrange(100,200);
end;

procedure OpenDebugWindow(TPA: TPointArray; ATPA: array Of TPointArray; PaintBox: Boolean; Box: TBox);
var
  BMP, x,y, i, Color : Integer;
  TPABox: TBox;
begin

  BMP := BitmapFromClient(0,0,MSX2,MSY2);
  DrawTPABitmap(BMP,TPA,clRed);
  for i := 0 to high(ATPA) do
  begin
    if i = 0 then
      Color := clYellow
    else
      Color := clBlack;
    TPABox := getTPABounds(ATPA[i]);
    for x := TPABox.x1 to TPABox.x2 do
    begin
      FastSetPixel(BMP, x, TPABox.y1, Color)
      FastSetPixel(BMP, x, TPABox.y2, Color)
    end;
    for y := TPABox.y1 to TPABox.y2 do
    begin
      FastSetPixel(BMP, TPABox.x1, y, Color)
      FastSetPixel(BMP, TPABox.x2, y, Color)
    end;
  end;
  if PaintBox then
  begin
    for x := Box.x1 to Box.x2 do
    begin
      FastSetPixel(BMP, x, Box.y1, ClRed)
      FastSetPixel(BMP, x, Box.y2, ClRed)
    end;
    for y := Box.y1 to Box.y2 do
    begin
      FastSetPixel(BMP, Box.x1, y, ClRed)
      FastSetPixel(BMP, Box.x2, y, ClRed)
    end;
  end;
  DebugBitmap(BMP);
  FreeBitmap(BMP);
end;

Procedure LoadDTMs();
begin
  No_Target := DTMFromString('mVAEAAHicE2BgYLjCCMF3gPg5EL8C4s9A/AWIvwPxLyD+B8SMTBDMBsSsQMwDxfFAMyKAOAZKx0NxNBDHAnEUlJ8AZcP4ILVxQLy5So8izAo0gxLMSCFGBwBXxiVK');
  writeln('DTMs Loaded...');
end;

procedure FreeDTMAll();
begin
  FreeDTM(No_Target);
end;

Procedure SetValues();
begin
  Eating := True;
  MonsterCols := [4733217,3748371,5129753];
  MonsterTols := [10,10,10];
    {$IFDEF SMART}
      {$IFDEF SIMBAMAJOR980}
        Smart_Members := Members;
        Smart_Signed := Signed;
        SMART_SuperDetail := False;
      {$ELSE}
        SmartPairClient(4440);
        SRL_SixHourFix := True;
        Smart_FixSpeed := True;
      {$ENDIF}
    {$ENDIF}
  SetupSRL;
  ActivateClient;
  HasTeleported := False
  LoadDTMs();
  AddOnTerminate('FreeDTMAll');
  StartingXP := -1
end;


procedure DeclarePlayers;
begin
  NumberOfPlayers(1);
  CurrentPlayer := 0;
  with Players[0] do
  begin
    Name := UserName;
    Pass := Password;
    Active := True;
  end;
end;

Procedure LoginProcedure;
begin
  DeclarePlayers;
  LoginPlayer;
end;

Function UseUltimateAttack () : Boolean;
  var
  x,y :integer;
begin
  result := false
  if HP > SaveAdrenalineForRejuv then
  begin
    if (findcolortolerance(x,y,10221561,465,272,485,292,10)) then
    begin
      result := true;
      sendkeys(Ultimatekey,randomrange(5,15),randomrange(10,15));
    end;
  end;
end;

procedure CheckRejuv();
  var x,y:integer;
begin
  if (HP < SaveAdrenalineForRejuv) then
  begin
    if (findcolortolerance(x,y,10221561,465,272,485,292,10)) then
    begin
      if (TimeFromMark(rejuvTime) > 61000) then
      begin
        if (timefrommark(attacktime) < 1500) then
          wait(randomrange(1500,2000));
        case random(3) of
          0:
            begin
            TimesUsedRejuvenate := TimesUsedRejuvenate + 1;
            sendkeys('6',randomrange(10,20),randomrange(10,20));
            wait(randomrange(3000,3600));
            MMouse(64,312,5,5);
            clickmouse2(mouse_left);
            wait(randomrange(6800,8623));
            sendkeys('7',randomrange(10,20),randomrange(10,20));
            MarkTime(AttackTime);
            MarkTime(RejuvTime);
            wait(randomrange(1,500));
            mmouse(550,250,200,250);
            exit;
            end;
          1..2:
            begin
            TimesUsedRejuvenate := TimesUsedRejuvenate + 1;
            sendkeys('6',randomrange(10,20),randomrange(10,20));
            wait(randomrange(3000,3560));
            sendkeys('1',randomrange(10,20),randomrange(10,20));
            wait(randomrange(6690,8520));
            sendkeys('7',randomrange(10,20),randomrange(10,20));
            MarkTime(AttackTime);
            MarkTime(RejuvTime);
            wait(randomrange(1,500));
            exit;
          end;
        end;
      end;
      exit;
    end;
  end;
  exit;
end;

Procedure Looting();
begin
    if (FindRedBar) then
    begin
      wait(1000);
      if (FindRedBar) then
        wait(200);
      MMouse(X+random(3),Y+22,0,0);
      wait(1000+random(200));
      ClickMouse2(False);
      WaitOptionMulti(['ake Crims','ake Gold c', 'ake Green', 'ake Blue c'], 1000);
      repeat until not IsMoving
        wait(300+random(100));
    end;
end;
Procedure Attack();
//by shatterhand
var
      i,x,y,RedX,RedY,ExcX,ExcY,UpTxtRandomTime : integer;
      RedHpBarDTM : integer;
      TPA, MonsterTPA : TPointArray;
      ExcludeNearRedHpBar : Boolean;
      ATPA : Array of TPointArray;
begin
    if timesbeforeturn = 0 then
    begin
      wait(randomrange(600,900));
    end;
    timesbeforeturn := timesbeforeturn + 1;
    UpTxtRandomTime := randomrange(170,210);
    for i:=0 to High(MonsterCols) do
    begin
      FindColorsTolerance(MonsterTPA,MonsterCols[i],MSX1,MSY1,516,263,MonsterTols[i]);
      AppendTPA(TPA,MonsterTPA);
    end;
    ExcludeNearRedHpBar := False;
    RedHpBarDTM := DTMFromString('mWAAAAHicY2FgYNgCxOeh+AIQRwFxOBDHQtk7GTgYrNmZ4FgEKIaMGdEwCAAAoEoGcA==');
    if WaitFindDTMex(RedHpBarDTM,X,Y,MSX1,MSY1,MSX2,MSY2,10,100) then
    begin
      ExcludeNearRedHpBar := True;
      RedX := X;
      RedY := Y+50;
      ExcX := 35;
      ExcY := 60;
    end;
    FreeDTM(RedHpBarDTM);
    Looting;
    if (High(TPA)> 0) then
    begin
      if ExcludeNearRedHpBar then
      begin
        SortTPAFrom(TPA,Point(redX,redY));
        InvertTPA(TPA);
        for i:=0 to High(TPA) do
          if (Abs(TPA[i].x - RedX) < ExcX) and (Abs(TPA[i].y - RedY) < ExcY) then
            Break;

        SetArrayLength(TPA,i);
      end;
    SortTPAFrom(TPA,Point(MSCX,MSCY));
    InvertTPA(TPA);
    for i:=0 to High(TPA) do
      if (Abs(TPA[i].x - MSCX) <  25) and (Abs(TPA[i].y - MSCY) <  25) then
        Break;
    SetArrayLength(TPA,i);
    ATPA := SplitTPA(TPA,10);
    SortATPASize(ATPA,True);
    for i:=0 to High(ATPA) do
    begin
      if High(ATPA[i]) < 40 then
        Break;
    end;
    if i = 0 then Inc(i);
      SetArrayLength(ATPA,i);
    SortATPAFromFirstPoint(ATPA,Point(MSCX,MSCY));
    if DebugWindow then
      OpenDebugWindow(TPA,ATPA,true,IntToBox(RedX-ExcX,RedY-ExcY,RedX+ExcX,RedY+ExcY));
    if High(ATPA[0]) < 40 then
      Exit;
    if MiddleTPAEx(ATPA[0],X,Y) then
      //by mr. pali below
      begin
        if not InCombat then
        begin
        MMouse(X,Y,0,0);
        wait(randomrange(1,50));
          if WaitUpText('k Wat',UpTxtRandomTime) then
          begin
            timesbeforeturn := 0
            timestry := 0
          case Random(8) of
            0..5:
            begin
            TimesTry := 0;
              ClickMouse2(mouse_left);
              if DidRedClick then
              begin
                MarkTime(TimeLastClick);
                WaitForCombat(5000);
                timesbeforeturn := 0;
                TotalKillsPublic := TotalKillsPublic + 1;
                Proggy();
                exit;
              end;
              exit;
            end;
            6..7:
            begin
              TimesTry := 0;
              ClickMouse2(mouse_right);
              wait(randomrange(10,100));
              if ChooseOption('ttack Wat') then
              begin;
                MarkTime(TimeLastClick);
                WaitForCombat(5000);
                Timesbeforeturn := 0 ;
                TotalKillsPublic := TotalKillsPublic + 1;
                Proggy();
                exit;
              end;
            end;
          end;
        end else
        begin
          TimesTry := TimesTry + 1
          if TimesTry > 5 then
          begin
          CompassMovement(-30,30,false);
          wait(randomrange(100,500));
          TimesTry := 0
        end;
      end;
    end;
    end;
  end;
end;


Procedure Eat;
var
  colorstring : string;
  CurrentHP,x,y: integer;
begin
If Eating then
  begin
  if HP < EatAtHP then
    begin
      CurrentHP := GetMMLevels('hp', colorstring);
      HP := CurrentHp;
    if CurrentHp > EatAtHP then
      exit;
    if (CurrentHp = -1) then
      exit;
    if CurrentHP < EatAtHP then
      begin
      if not (GetCurrentTab = tab_Inv) then
        begin
          GameTab(tab_Inv);
        end;
      if FindColorTolerance(x,y,ColorOfFood,550,213,738,464,5) then
        begin
          mmouse( 457,316,7,7);
          wait(randomRange(100,1000));
          CurrentHP := GetMMLevels('hp',colorstring);
           HP := CurrentHp;
        if CurrentHP > EatAtHP then
          begin
            exit;
          end;
          ClickMouse2(Mouse_left);
          writeln('Eating a ' + FoodName);
          FoodEaten := FoodEaten + 1
          wait(randomrange(500,1500));
          exit;
        end else
        begin
          writeln('No food is visible in inventory, we must be out of ' + FoodName + 's to eat.');
          writeln('(If there really is food in your inventory, make sure you have the color set correctly.)');
          writeln('Turning Food: off.');
          Eating := False
          writeln('Using one click tele to teleport soon, once we reach ' + IntToStr(TeleportAtHP) + ' health.');
          exit;
        end;
      end;
    exit;
    end;
  end;
end;

Procedure Teleport(UseNoMatterWhat : boolean);
var
colorstring : string;
CurrentHP : integer;
begin
  if UseTeleport then
  begin
    if (HP < TeleportAtHP) or UseNoMatterWhat then
    begin
      Eat;
      CurrentHP := GetMMLevels('hp',colorstring);
      HP := CurrentHp;
      if (CurrentHp > TeleportAtHP) and (UseNoMatterWhat = false) then
        exit;
      If (CurrentHP > TeleportAtHP) and not UseNoMatterWhat then
        exit;
      if (CurrentHp = -1) then
        exit;
      wait(randomrange(500,1000));
      writeln('Attempting to use teleport...');
      SendKeys(TeleportKey, 15, 15);
      writeln('Teleported @ ' + IntToStr(CurrentHP) + 'health.');
      Terminatescript();
    end;
  end;
end;

procedure LoginCheck;
begin
  if not LoggedIn then
  begin
    if not LoginPlayer then
    begin
      Writeln('We got logged out somehow and can''t log in.');
      TerminateScript();
    end;
  end;
end;

procedure DoTurn();
begin
  if timesbeforeturn > TurnAmount then
  begin
      case random(2) of
        0:CompassMovement(140,220,false);
        1:CompassMovement(-220,-140,false);
      end;
    timesbeforeturn := 0;
    SetLength(FPTPA, 0);
    SetLength(FPTimeStamp, 0);
  end;
end;

procedure HopWorld;
begin
  WriteLn('Hopping.');

  repeat
    ExitToLobby;
    LoginPlayerToLob; //in case we get kicked out to login screen
  until LobbyScreen;

  OpenWorldScreen;
  SelectWorld(RandomWorld(true,false));

  repeat
    LoginPlayer;
  until LoggedIn

  MarkTime(LastInCombat);
  MarkTime(TimeLastClick);
  Wait(RandomRange(3000,6000));

  SmartSetDebug(True);
  SmartSetRefresh(100);
  if not SmartEnabled then
    SmartSetEnabled(True);

  ToggleXPBar(True);
  ExitSquealOfFortune;
  KeyDown(VK_UP);
  Wait(750+Random(150));
  KeyUp(VK_UP);
end;

procedure NoobCheck; //looks for people around, waits a bit then changes world. exits if they are gone for 3 seconds
var
  MX, MY, NoobsAround, Time, WaitTime, Count : Integer;
begin
  MX := 627;
  MY := 136-50;
  NoobsAround :=  Length(GetMinimapDotsin('player',MX-28,MY-28,MX+28,MY+28));

  if NoobsAround > 0 then
  begin
  SMART_DrawBoxEx(false,false,IntToBox(MX-48,MY-48,MX+48,MY+48),ClRed);
    WaitTime := RandomRange(8000,12000);

    MarkTime(Time);
    repeat
      WriteLn('Noobs around, waiting... ' + IntToStr((WaitTime-TimeFromMark(Time))/1000));
      NoobsAround :=  Length(GetMinimapDotsin('player',MX-48,MY-48,MX+48,MY+48));
      if NoobsAround = 0 then
        Inc(Count);
      if Count > 5 then
      begin
        WriteLn('Noobs gone.');
        SMART_ClearCanvasArea(IntToBox(MMX1,MMY1+50,MMX2,MMY2+50));
        Exit;
      end;
      Wait(500);
    until (TimeFromMark(Time) > WaitTime)

    SMART_ClearCanvasArea(IntToBox(MMX1,MMY1+50,MMX2,MMY2+50));
    HopWorld;
  end;
end;

procedure Startup();
begin
  SetValues();
  LoginProcedure;
  MarkTime(StartTime);
  MarkTime(CharmCount);
  if GameTab(TAB_INV) then
  begin
    startcharm1 := GetAmountBox(InvBox(1));
    startcharm2 := GetAmountBox(InvBox(2));
    startcharm3 := GetAmountBox(InvBox(3));
    startcharm4 := GetAmountBox(InvBox(4));
  end;
  GetStartingXP();
  If UseTeleport then
    writeln('Make sure you have teleports!');
  MarkTime(LastInCombat);
  MarkTime(TimeLastClick);
  KeyDown(VK_UP);
  Wait(750+Random(150));
  KeyUp(VK_UP);
  Marktime(UsedThreshold1);
  Marktime(UsedThreshold2);
  Marktime(UsedUltimate);
  MarkTime(RejuvTime);
  UsedThreshold1 := UsedThreshold1 - Threshold1CoolDown
  UsedThreshold2 := UsedThreshold2 - Threshold2CoolDown
  UsedUltimate := UsedUltimate - UltimateCooldown
  SRL_SixHourFix := True;
  LoginCheck;
  MarkTime(attacktime);
end;

Function ThresholdAbilityAvailable : Boolean;
var
  x,y,x2,y2 :integer ;
begin
  result := (findcolortolerance(x,y,10221561,465,272,485,292,10)) or findcolortolerance(x2,y2,31722,260,272,471,292,30);
end;

procedure ActionBarAttack(); //by mr. pali. Anyone can steal my procedures, I don't care.
begin
if (TimeFromMark(AttackTime) > SwingSpeed + randomrange(90,300)) then
  begin
  if (HP < SaveAdrenalineForRejuv) then
    begin
      SendKeys(normalAbilityKey,randomrange(1,15),randomrange(1,15));
      MarkTime(AttackTime);
      exit;
    end;
  end else
    begin
    exit;
    end;
  if UseThreshold2 then
  begin
    if (TimeFromMark(UsedThreshold2) > (Threshold2CoolDown + randomrange(1010,1500))) then
    begin
      if ThresholdAbilityAvailable then
      begin
        Sendkeys(Threshold2Key,randomrange(5,15),randomrange(5,15));
        MarkTime(AttackTime);
        if (inCombat) then
        begin
          MarkTime(UsedThreshold2);
        end;
        exit;
      end;
    end;
  end;
  if UseThreshold1 then
  begin
    if (TimeFromMark(UsedThreshold1) > (Threshold1CoolDown + randomrange(1010,1500))) then
    begin
      if ThresholdAbilityAvailable then
      begin
        Sendkeys(Threshold1Key,randomrange(5,15),randomrange(5,15));
        MarkTime(AttackTime);
        if (inCombat) then
        begin
          MarkTime(UsedThreshold1);
        end;
        exit;
      end;
    end;
  end;
  if UseUltimate then
  begin
    if (TimeFromMark(UsedUltimate) > (UltimateCooldown + randomrange(1010,1500))) then
    begin
      if UseUltimateAttack() then
      begin
        if (inCombat) then
        begin
          MarkTime(UsedUltimate);
          MarkTime(AttackTime);
        end;
        exit;
      end;
    end;
  end;
  SendKeys(normalAbilityKey,randomrange(1,15),randomrange(1,15));
  MarkTime(AttackTime);
end;

Procedure DrinkPotion();
begin
  if not (TimeFromMark(AttackTime) > 1500) then
    Wait(randomrange(1200,2000));
  Sendkeys(PotionKey,5,15);
  PotionTotal := PotionTotal + 1;
  MarkTime(AttackTime);
  writeln('Drinking potion.');
  Wait(randomrange(1250,1750));
  if (GetChatBoxText(8, clMessage) = 'You donrt have any left!') then
  begin
    PotionRemains := False
    PotionTotal := PotionTotal - 1
    writeln('No potion found.');
  end;
end;


procedure Potions();
begin
  if not UsePotion then
    exit;
  if (TimeFromMark(UsedPot) < ThePotionTime) then
    exit;
  if not PotionRemains then
    exit;
  if (UsePotion=true) and (TimeFromMark(UsedPot) > ThePotionTime)then
  begin
    if (UsePotion=true) and (PotionRemains=true) then
    begin
      wait(randomrange(500,2000));
      PotionLevelCurrent := GetSkillInfo(PotionStat, true);
      PotionLevelBase :=  GetSkillLevel(PotionStat);
    end;
    ThePotionTime := PotionTimer*1000 + random(RandomPotTime*1000);
    MarkTime(UsedPot);
  end;
  if (UsePotion=true) and (PotionRemains=true) then
  begin
    if (PotionLevelCurrent <= DrinkAt) or (PotionLevelCurrent = PotionLevelBase) then
    begin
      DrinkPotion;
    end;
  end;
end;

Procedure MarkPotionTimes();
begin
  MarkTime(UsedPot);
  UsedPot := UsedPot - PotionTimer*1000;
  PotionRemains := True;
end;

Procedure PaliLoginCheck();
begin
  ExitSquealofFortune();
  if not LoggedIn() then
  begin
    if not LoggedIn() then
    begin
      if LoginPlayer then
      begin
        MarkTime(LastInCombat);
        MarkTime(TimeLastClick);
      end;
    end;
  end;
end;

begin
  Startup();
  MarkPotionTimes();
  SaveAdrenalineForRejuv := round(GetMaxHP() * 0.7);
  if (SaveAdrenalineForRejuv = 0) then
  begin
    WriteLn('Unable to check MaxHP, Make sure smart is enabled!');
    WriteLn('Terminating script.');
    TerminateScript();
  end;
  WriteLn('Using Rejuvenate at ' + IntToStr(SaveAdrenalineForRejuv) + ' health.');
  repeat
  HP := GetMMLevels('hp', mainloopcolorstring);
  CheckRejuv();
  Eat;
  if (TimeFromMark(CharmCount) > randomrange(47500,73500)) then
  begin
    if GameTab(TAB_INV) then
    begin
      charm1 := (GetAmountBox(InvBox(1)) - startcharm1);
      charm2 := (GetAmountBox(InvBox(2)) - startcharm2);
      charm3 := (GetAmountBox(InvBox(3)) - startcharm3);
      charm4 := (GetAmountBox(InvBox(4)) - startcharm4);
    end;
    MarkTime(CharmCount);
  end;
  Teleport(False);
  Potions();
  FindCharms();
  Looting();
  if not InCombat then
  begin
    wait(randomrange(50,90));
    FindCharms();
    NoobCheck();
    Attack();
    DoTurn();
  end else
    begin
      ActionBarAttack();
      Antiban;
    end;
    case random(10) of
      0:
      begin
        PaliLoginCheck();
      end;
    end;
  if (TimeFromMark(LastInCombat) > 390000) then
  begin
    writeln('It''s been over 390 seconds since last in combat, terminating script.');
    Proggy();
    if TeleportOnStuck then
      Teleport(true);
    TerminateScript();
  end;
  if (TimeFromMark(TimeLastClick) > 390000) then
  begin
    Writeln('It''s been over 390 seconds since last clicked on a monster. Terminating Script.');
    Proggy();
    If TeleportOnStuck then
      Teleport(true);
    TerminateScript();
  end;
  until False;
end.

[EOC] SeanStar's Green Bodies Crafter - http://villavu.com/forum/showthread.php?t=93503
http://pastebin.com/7jkVV7Hc

{
SeanStar's Green Bodies Crafter v0.2
Will be adding shields and higher level dragon leathers soon.

TO SETUP:
Place character next to a bank booth (Only tested vwb)
Place Green Dragon Leathers in a visible spot in your bank..
Make sure the leathers divide by 3 evenly or script won't shutdown when done
Place a lot of thread (1 per 15 leathers) in first slot of inventory
Toggle Production Progress ON if it isn't already
Put green dragon leather on your action bar and toggle it open
Enter settings in config

}
program BodyCrafter;
{$DEFINE SMART}
{$i srl/srl.simba}
{$i srl/srl/misc/debug.simba}
{$i srl/srl/misc/smartgraphics.simba}
var
  GreenHide, Crafted, Needle: Integer;
const
  BankDirection = 'E'; // N, S, E, W - Relative to you - Only tested on vwb bank booths
  ActionBarKey = '1'; // Hotkey for green dragon leather on the Ability/Action bar
  PaintProgress = TRUE; // Whether or not to paint progress report on client.

procedure DeclarePlayers;
begin
  HowManyPlayers := 1;
  NumberOfPlayers(HowManyPlayers);
  CurrentPlayer := 0;

  with Players[0] do
  begin
    Name       := ''; // Player username
    Pass       := ''; // Player password
    Pin        := ''; // Leave blank if not using a pin
    Active     := True;
  end;
end;
 {*******************************************************************************

All of these mouse movements are credited to benland100 and flight

*******************************************************************************}


//By Benland100, modified to shift mouse speeds after every step
Procedure SuperWindMouse(xs, ys, xe, ye, gravity, wind, minWait, maxWait, maxStep, targetArea: extended);
Var
  veloX,veloY,windX,windY,veloMag,dist,randomDist,lastDist,step: extended;
  lastX,lastY,MSP,W: integer;
  sqrt2,sqrt3,sqrt5: extended;
Begin
  MSP  := MouseSpeed;
  sqrt2:= sqrt(2);
  sqrt3:= sqrt(3);
  sqrt5:= sqrt(5);
  While hypot(xs - xe, ys - ye) > 1 Do
  Begin
    dist:= hypot(xs - xe, ys - ye);
    wind:= minE(wind, dist);
    If dist >= targetArea Then
    Begin
      windX:= windX / sqrt3 + (random(round(wind) * 2 + 1) - wind) / sqrt5;
      windY:= windY / sqrt3 + (random(round(wind) * 2 + 1) - wind) / sqrt5;
    End Else
    Begin
      windX:= windX / sqrt2;
      windY:= windY / sqrt2;
      If (maxStep < 3) Then
      Begin
        maxStep:= random(3) + 3.0;
      End Else
      Begin
        maxStep:= maxStep / sqrt5;
      End;
    End;
    veloX:= veloX + windX;
    veloY:= veloY + windY;
    veloX:= veloX + gravity * (xe - xs) / dist;
    veloY:= veloY + gravity * (ye - ys) / dist;
    if hypot(veloX, veloY) > maxStep then
    Begin
      randomDist:= maxStep / 2.0 + random(round(maxStep) div 2);
      veloMag:= sqrt(veloX * veloX + veloY * veloY);
      veloX:= (veloX / veloMag) * randomDist;
      veloY:= (veloY / veloMag) * randomDist;
    End;
    lastX:= Round(xs);
    lastY:= Round(ys);
    xs:= xs + veloX;
    ys:= ys + veloY;

    Case Random(50) Of
      1..25: W := (MSP + (Random((MSP/4))));
      26..50: W := (MSP - (RandomRange((MSP/2), MSP-1)));
    End;
    If (W < 1) Then
      W := 1;

    If (lastX <> Round(xs)) Or (lastY <> Round(ys)) Then
      MoveMouse(Round(xs), Round(ys));

    step:= hypot(xs - lastX, ys - lastY);
    //W := round((maxWait - minWait) * (step / maxStep) + minWait);
    wait(W);
    lastdist:= dist;
  End;

  If (Round(xe) <> Round(xs)) or (Round(ye) <> Round(ys)) Then
    MoveMouse(Round(xe), Round(ye));

  MouseSpeed := MSP;
End;

Procedure HumanMMouse(eX, eY, ranX, ranY: Integer);
Var
  randSpeed: extended;
  X,Y,X2,Y2,j,Dist,MP: integer;
Begin
  j := MouseSpeed;
  GetMousePos(X, Y);
  Dist := Distance(X, Y, eX, eY);
  MP := Round(Dist/150);
  If MP < 0 Then
    MP := 1;

  randSpeed := (random(MouseSpeed) / 2.0 + MouseSpeed) / 10.0;
  X2 := RandomRange(eX-(j*MP), eX+(j*MP));
  Y2 := RandomRange(eY-(j*MP), eY+(j*MP));
  SuperWindMouse(X, Y, X2, Y2, 11, 8, 10.0 / randSpeed, 12.0 / randSpeed, 10.0 * randSpeed, 10.0 * randSpeed);
  GetMousePos(X, Y);
  MMouse(eX, eY, ranX, ranY);
  MouseSpeed := j;
End;
 {*******************************************************************************

End mouse movements by benland100 and flight

*******************************************************************************}
procedure PaintSmart;
var
  Image: Integer;
  Line1, Line2, Line3, Line4, Line5: String;
begin
  Image := BitmapFromString(506, 114, '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');
  Line1 := ('You have been running for ' + TimeRunning);
  Line2 := ('You have managed to craft ' + IntToStr(Crafted) + ' bodies.');
  Line3 := ('You are crafting ' + IntToStr(Round(Crafted * (3600.0 / (GetTimeRunning / 1000.0)))) + ' bodies per hour!');
  Line4 := ('You have gained ' + IntToStr(Crafted * 186) + ' Crafting experience.');
  Line5 := ('You are gaining ' + IntToStr(Round(Crafted * 186.0 * (3600.0 / (GetTimeRunning / 1000.0)))) + ' Crafting exp per hour!');
  SMART_DrawBitmap(True, Image, Point(MCX1+3, MCY1+3));
  SMART_DrawText(MCX1+10, MCY1 + 10, LoginChars, Line1, clWhite);
  SMART_DrawText(MCX1+10, MCY1 + 30, LoginChars, Line2, clWhite);
  SMART_DrawText(MCX1+10, MCY1 + 50, LoginChars, Line3, clWhite);
  SMART_DrawText(MCX1+10, MCY1 + 70, LoginChars, Line4, clWhite);
  SMART_DrawText(MCX1+10, MCY1 + 90, LoginChars, Line5, clWhite);
  FreeBitmap(Image);
end;
procedure UseBank;
label
  UseBanker;
var a, i, TempCTS, x, y: Integer;
    TPA  : TPointArray;
    ATPA : T2DPointArray;
    MP   : TPoint;
    BankFound: Boolean;
begin
  GreenHide := DTMFromString('mlwAAAHicY2dgYLjAwsBwDYjvA/EJID4DxHeA+DAQP2NkYPjGCKE/AfEXIP4AxM+BmMOKE6ibCSuWY8ANGPFgKAAA+DYM3g==');
  UseBanker:
  BankFound := False;
  TempCTS := GetColorToleranceSpeed;
  ColorToleranceSpeed(2);
  SetColorSpeed2Modifiers(0.08, 0.20);
  if FindColorsSpiralTolerance(MSCX, MSCY, tpa, 3169902, MSX1, MSY1, MSX2, MSY2, 4) then
  begin
    writeln('Found Bank! TPA count: ' + IntToStr(length(tpa)));
    ATPA:= TPAtoATPAEx(tpa, 25, 25);
    for a:=0 to high(atpa) do
    begin
      wait(500+random(200));
      i := a+1;
      if (i = 15) then
        Break;
      {$IFDEF SMART}
      SMART_DrawDotsEx(false, ATPA[a], clWhite);
      {$ENDIF}
      MP:= MiddleTPA(atpa[a]);
      HumanMMouse(mp.x, mp.y, 10, 10);
      if WaitUpText('Bank', 1000) then
        BankFound := True;
      if BankFound then
      begin
        ClickMouse2(TRUE);
        SMART_ClearCanvas;
        if PaintProgress then
          PaintSmart;
        wait(800+random(200));
        if PinScreen then
          InPin(Players[0].Pin);
        if BankScreen then
        begin
          Deposit(2, 28, True);
          if FindDTM(GreenHide, x, y, MSX1, MSY1, MSX2, MSY2) then
          begin
             HumanMMouse(x, y, 6, 6);
             ClickMouse2(FALSE);
             WaitOption('All', 1000);
            CloseBank;
            FreeDTM(GreenHide);
            Break;
          end else
          begin
            writeln('Out of Green d''hide leather! Terminating script.');
            Logout;
            TerminateScript;
          end;
        end;
      end;
    end;
  end else
  begin
    writeln('Cannot find Bank! Terminating script.');
    Logout;
    TerminateScript;
  end;
end;
procedure Calibrate;
begin
  MakeCompass(BankDirection);
  KeyDown(VK_UP);
  Wait(750+Random(150));
  KeyUp(VK_UP);
end;

procedure Antiban;
begin
  FindNormalRandoms;
  case Random(70) of
    1,2,11,12,13: begin PickUpMouse; end;
    3: begin BoredHuman; Calibrate; end;
    4: begin RandomAngle(1); Calibrate; end;
    5: begin Wait(1000+Random(2500)); end;
    6: begin Wait(4000+Random(1000)); end;
    7,8: begin RandomMovement; Calibrate; end;
    8,9,10: begin HoverSkill('Crafting', False); Gametab(tab_inv); end;
  end;
end;
procedure Craft;
var
  i: integer;
begin
  i := 0;
  repeat
    wait(200+random(100));
    i := i+1;
    if (i = 10) then
    begin
      HumanMMouse(507, 332, 5, 4);
      ClickMouse2(TRUE);
    end;
  until CountColorTolerance(13224393, 1, 260, 500, 265, 1) > 300;
  SendKeys(ActionBarKey, 0, 0);
  wait(550+random(200));
  if (Needle = 0) then
  begin
    wait(1000+random(500));
    HumanMMouse(254, 172, 8, 8);
    ClickMouse2(TRUE);
    wait(1000+random(500));
    HumanMMouse(140, 100, 18, 18);
    ClickMouse2(TRUE);
    Needle := 1;
  end;
  repeat
    wait(200+random(50));
    i := i+1;
    if (i = 15) then
    begin
      exit;
    end;
  until CountColorTolerance(2366993, 20, 130, 120, 180, 2) > 4000;
  HumanMMouse(372, 314, 60, 6);
  ClickMouse2(TRUE);
  wait(1500+random(200));
  Antiban;
  repeat
    wait(100+random(100));
  until CountColorTolerance(986895, 360, 80, 420, 120, 5) < 1000;
  Crafted := Crafted + 9;
end;
procedure ProgressReport;
begin
  ClearDebug;
  WriteLn('####### Green Bodies Crafter by SeanStar #######');
  WriteLn('|  Running for: '+ TimeRunning);
  WriteLn('|  Crafted: '+ IntToStr(Crafted) +' bodies');
  WriteLn('|  Crafting: '+ IntToStr(Round(Crafted * (3600.0 / (GetTimeRunning / 1000.0)))) +' bodies an hour.');
  WriteLn('|  Crafting XP gained: '+ IntToStr(Crafted * 186) +' XP');
  WriteLn('|  Crafting XP an hour: '+ IntToStr(Round(Crafted * 186.0 * (3600.0 / (GetTimeRunning / 1000.0)))) +' XP/H');
  WriteLn('################################################');
  if PaintProgress then
    PaintSmart;
end;

begin
  ClearDebug;
  SRL_SixHourFix := True;
  Smart_FixSpeed := True;
  SetupSRL;
  DeclarePlayers;
  if not LoggedIn then
    LoginPlayer;
  FindNormalRandoms;
  Needle := 0;
  Crafted := 0;
  MakeCompass(BankDirection);
  KeyDown(VK_UP);
  Wait(750+Random(150));
  KeyUp(VK_UP);
  repeat
    UseBank;
    Craft;
    ProgressReport;
    Antiban;
    if not LoggedIn then
    begin
      LoginPlayer;
      FindNormalRandoms;
      Needle := 0;
      MakeCompass(BankDirection);
      KeyDown(VK_UP);
      Wait(750+Random(150));
      KeyUp(VK_UP);
    end;
  until(False);
end.

Can you post your scripts in

 tags ?
And also, I looked through the Waterfiend script and it appears that a lot of the script is written by other peopl :/

E* Just saw activity, it's a no from me.
Stick around a bit and get involved with the community, I've seen way too many people get accepted than leave within the week.

From: Shay
Can you post your scripts in

 tags ?
And also, I looked through the Waterfiend script and it appears that a lot of the script is written by other peopl :/

I've used and modified a lot of functions others have wrote. However, it has what I consider a good amount of my own code, I've written the entire looting function, (which consists of two looting functions, and a dynamic array that prevents it from clicking false positives) and I've modified the functions used to cater the script.

Also, I can't put the script in simba tags… probably due to length of the bitmaps.
"The text that you have entered is too long (163191 characters). Please shorten it to 100000 characters long."

From: SeanStar
I've used and modified a lot of functions others have wrote. However, it has what I consider a good amount of my own code, I've written the entire looting function, (which consists of two looting functions, and a dynamic array that prevents it from clicking false positives) and I've modified the functions used to cater the script.

Also, I can't put the script in simba tags… probably due to length of the bitmaps.
"The text that you have entered is too long (163191 characters). Please shorten it to 100000 characters long."

Yeah I understand that, but we usually like to see code that the applicant wrote on their own ;)

Oh, pastebin then? Make it private if you want, I really dislike downloading a scripts since it clutters up my Downloads folder, and I'm sure other members also :p

Not voting yet,

From: SeanStar

"The text that you have entered is too long (163191 characters). Please shorten it to 100000 characters long."

Remove the declaration of long global's like dtms and bmps just for your app we don't really need to see them :p

Just put like

GBodyDTM:=DTMFromString(''); //removed for app space
GBodyBMP:=BMPFromString(''); //removed for app space

From: Shay

Oh, pastebin then? Make it private if you want, I really dislike downloading a scripts since it clutters up my Downloads folder, and I'm sure other members also :p

I agree with all of what shay mentioned, the easier you make life for us, better chance of yes :D

From: Sin
Yeah I understand that, but we usually like to see code that the applicant wrote on their own ;)

Oh, pastebin then? Make it private if you want, I really dislike downloading a scripts since it clutters up my Downloads folder, and I'm sure other members also :p

Done. If you want to see what I wrote, it'd be all of the green bodies crafter and all of the looting functions on the waterfiender (which is the hardest part, in my opinion..) among other small snippets of modified code.

I put the code in simba tags (Overrode settings)

It's an interesting script. Personally, I won't vote for a few reasons, but I'd like to comment a few pieces of the code and see how you could shorten those. I loved these tips when I applied for membership so I'd like to do the same for you, hoping that you'll also appreciate.

Let's take:

if FoodEaten > 1 then
    begin
      writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
    end;
    if (PotionTotal > 0) then
    begin
    writeln('//Used Potion [' + inttostr(PotionTotal) + ' Times]');
    end;    

You could simply write:

if FoodEaten > 1 then
  writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
else
  writeln('//Used Potion [' + inttostr(PotionTotal) + ' Times]');

I notice that in your FindCharms function, it turns true whether it finds mithril arrows or crimson charms. What's the point of turning true when it finds mithril arrows when you don't loot them (unless I missed something)?

begin
      charm1 := (GetAmountBox(InvBox(1)) - startcharm1);
      charm2 := (GetAmountBox(InvBox(2)) - startcharm2);
      charm3 := (GetAmountBox(InvBox(3)) - startcharm3);
      charm4 := (GetAmountBox(InvBox(4)) - startcharm4);
    end;  

What is this? You might want to change it into an array (Charm[1]) and use a for.. to loop. However, I simply don't understand what that is supposed to do.

In your FindCharms function:

if (length(arP) > 5) then

Why do you want the length of the TPA to be at least this long before searching? Actually, can you explain line by line what you're trying to do with FindCharms and Deallocate? This would be nice to know before I start commenting saying it doesn't do something you aren't intending to make it do, but I'm having doubts about the use of static coordinates to discriminate loot stacks (as well as other things).

Overall, there are a few lines that made me go "erm…" and I'm not sure if the script is up to member level yet, but it wasn't bad either. It might sound like a crappy advice, but do try to show off all you show in a script. Even if it isn't needed for your script, just let us find out everything that you know about coding in SRL.

Like other people said, community involvement is also important when it comes to becoming a member. That's something that no one here can stress enough. It's actually the PRIME factor when it comes to voting for many people. Keep this in mind.

From: Wardancer

Let's take:

if FoodEaten > 1 then
    begin
      writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
    end;
    if (PotionTotal > 0) then
    begin
    writeln('//Used Potion [' + inttostr(PotionTotal) + ' Times]');
    end;    

You could simply write:

if FoodEaten > 1 then
  writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
else
  writeln('//Used Potion [' + inttostr(PotionTotal) + ' Times]');

His has no else? :p

if FoodEaten > 1 then
      writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
if (PotionTotal > 0) then
    writeln('//Used Potion [' + inttostr(PotionTotal) + ' Times]');

From: DannyRS
His has no else? :p

if FoodEaten > 1 then
      writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
if (PotionTotal > 0) then
    writeln('//Used Potion [' + inttostr(PotionTotal) + ' Times]');

Oops. Thanks for pointing this out. I totally pasted the wrong piece of code. Saw an issue with it and thought I'd come back later… I totally got the wrong thing. I meant that he wrote:

if FoodEaten = 0 then
    begin;
      Writeln('//[No '+ FoodName + ' Eaten]');
  end;
    if FoodEaten = 1 then
    begin
    writeln('//[1 ' + Foodname + '] Eaten.');
  end;
    if FoodEaten > 1 then
    begin
      writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
    end; 

You should be using a case statement for this:

case FoodEaten of
  0:
    Writeln('//[No '+ FoodName + ' Eaten]');
  1:
    writeln('//[1 ' + Foodname + '] Eaten.');
  >1:
    writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');

if FoodEaten > 1 then
begin
    writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
end;
if (PotionTotal > 0) then
begin
    writeln('//Used Potion [' + inttostr(PotionTotal) + ' Times]');
end;    

That's what it really is. The Potions text is in a completely different if statement. What you wrote would be what it would be if it was PART of the foodeaten if statement.. which it isn't.

I notice that in your FindCharms function, it turns true whether it finds mithril arrows or crimson charms. What's the point of turning true when it finds mithril arrows when you don't loot them (unless I missed something)?

It does loot mithril arrows. (Simply because they stack and the colors are similar, so why not?)

begin
      charm1 := (GetAmountBox(InvBox(1)) - startcharm1);
      charm2 := (GetAmountBox(InvBox(2)) - startcharm2);
      charm3 := (GetAmountBox(InvBox(3)) - startcharm3);
      charm4 := (GetAmountBox(InvBox(4)) - startcharm4);
    end;  

What is this? You might want to change it into an array (Charm[1]) and use a for.. to loop. However, I simply don't understand what that is supposed to do.

Yeah, I could have used an array for this. I didn't, works the same. I save like two lines of code using a for loop, sometimes I don't think to use them when there isn't like 5+ lines of the same kinda code. Thank you for the tip, I'll try improving my standards on this sort of thing.

In your FindCharms function:

if (length(arP) > 5) then

Why do you want the length of the TPA to be at least this long before searching? Actually, can you explain line by line what you're trying to do with FindCharms and Deallocate? This would be nice to know before I start commenting saying it doesn't do something you aren't intending to make it do, but I'm having doubts about the use of static coordinates to discriminate loot stacks (as well as other things).

Overall, there are a few lines that made me go "erm…" and I'm not sure if the script is up to member level yet, but it wasn't bad either. It might sound like a crappy advice, but do try to show off all you show in a script. Even if it isn't needed for your script, just let us find out everything that you know about coding in SRL.

Originally, the length was so random 1 pixel flickers of color wouldn't throw it off. I guess this could be revised since I have the false positives added to a dynamic array now. To me it doesn't really seem practical to throw in useless bits of code just to prove I know how to use it, but I understand that could be what you guys are looking for, since you would never know otherwise.

Like other people said, community involvement is also important when it comes to becoming a member. That's something that no one here can stress enough. It's actually the PRIME factor when it comes to voting for many people. Keep this in mind.

I feel like I'm involved in the community, browsing around and getting to know everyone through their posts made on all of the public forums, but I understand that I rarely post myself. Which is a pretty big problem, I know. I can try to post more and see how that works out for me. Will definitely be challenging to go from lurker mode to posting.

From: Wardancer
Oops. Thanks for pointing this out. I totally pasted the wrong piece of code. Saw an issue with it and thought I'd come back later… I totally got the wrong thing. I meant that he wrote:

if FoodEaten = 0 then
    begin;
      Writeln('//[No '+ FoodName + ' Eaten]');
  end;
    if FoodEaten = 1 then
    begin
    writeln('//[1 ' + Foodname + '] Eaten.');
  end;
    if FoodEaten > 1 then
    begin
      writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');
    end; 

You should be using a case statement for this:

case FoodEaten of
  0:
    Writeln('//[No '+ FoodName + ' Eaten]');
  1:
    writeln('//[1 ' + Foodname + '] Eaten.');
  >1:
    writeln('//[' + inttostr(foodeaten) + ' ' + Foodname + 's] Eaten.');

That makes much more sense.

From: SeanStar
That makes much more sense.

Haha, yes. Sorry for the confusion. I facepalmed myself, no worries.

procedure DebugPoints(TPA: TPointArray; ATPA: Array of TPointArray);

procedure OpenDebugWindow(TPA: TPointArray; ATPA: array Of TPointArray; PaintBox: Boolean; Box: TBox);

I believe these 2 procedures are from ShatterHand? Please make sure you search through the script meticulously and credit every single procedure not by you in the future ;)


I'd agree with Shay that most of the script are from others. As for your FindCharms function, it only loots 2 objects: 'ake Crims', 'ithril arrow', and you have invalid usage of (supposedly) CTS 2 where you simply change CTS 1 to CTS 1..

Unfortunately, I'll have to vote no this time due to lack of activity and too little advanced functions of your own (and hence lack of capacity to judge your scripting abilities).

Hey SeanStar,

It appears you won't be getting in this time :( Please take note of what other members have suggested to improve your script for next time.

Given the date of closure, you may apply again whenever you wish.