lumber tycoon 2 скрипт pastebin

Lumber Tycoon 2 axe dupe script

=SynapseXen_IIIlIillIiiilII(SynapseXen_liIiIiiilIlilliii,2^SynapseXen_lIiliIIIiiIlliilIi)and 2^SynapseXen_lIiliIIIiiIlliilIi or 0)end;return SynapseXen_IililIlllllii end;SynapseXen_IiiIIIIiiIIillili=SynapseXen_IiIliIliIiiIl end;SynapseXen_liIllIiIllI=function(SynapseXen_IiIilI,SynapseXen_illllliiliI,SynapseXen_IiIlIIiI)return(SynapseXen_IiIilI+SynapseXen_illllliiliI)%SynapseXen_IiIlIIiI end;SynapseXen_IiIlllIi=function(SynapseXen_IiIilI,SynapseXen_illllliiliI,SynapseXen_IiIlIIiI)return(SynapseXen_IiIilI-SynapseXen_illllliiliI)%SynapseXen_IiIlIIiI end;local function SynapseXen_IliIIIiilllllIilIlll(SynapseXen_iliIIiIIIillIIli)if SynapseXen_iliIIiIIIillIIli =256 then SynapseXen_lIIilli,SynapseXen_IlillIIlill=0,SynapseXen_IlillIIlill+1;if SynapseXen_IlillIIlill>=256 then SynapseXen_IiiIlIiIIiiliilIl=<>SynapseXen_IlillIIlill=1 end end;SynapseXen_IiiIlIiIIiiliilIl[SynapseXen_IilIIIIIilillIIlili(SynapseXen_lIIilli,SynapseXen_IlillIIlill)]=SynapseXen_IliillIl;SynapseXen_lIIilli=SynapseXen_lIIilli+1;return SynapseXen_IiiIlIiIIiiliilIl,SynapseXen_lIIilli,SynapseXen_IlillIIlill end;local function SynapseXen_Iiiil(SynapseXen_iiiIIIlllIi)local function SynapseXen_iiIiiililIiilIli(SynapseXen_iIilIiIIil)local SynapseXen_IlillIIlill=’ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/’SynapseXen_iIilIiIIil=string.gsub(SynapseXen_iIilIiIIil,'[^’..SynapseXen_IlillIIlill..’=]’,»)return SynapseXen_iIilIiIIil:gsub(‘.’,function(SynapseXen_IiIilI)if SynapseXen_IiIilI==’=’then return»end;local SynapseXen_iiliiiliIIllIliiIli,SynapseXen_liillllIi=»,SynapseXen_IlillIIlill:find(SynapseXen_IiIilI)-1;for SynapseXen_lIiliIIIiiIlliilIi=6,1,-1 do SynapseXen_iiliiiliIIllIliiIli=SynapseXen_iiliiiliIIllIliiIli..(SynapseXen_liillllIi%2^SynapseXen_lIiliIIIiiIlliilIi-SynapseXen_liillllIi%2^(SynapseXen_lIiliIIIiiIlliilIi-1)>0 and’1’or’0′)end;return SynapseXen_iiliiiliIIllIliiIli end):gsub(‘%d%d%d?%d?%d?%d?%d?%d?’,function(SynapseXen_IiIilI)if#SynapseXen_IiIilI

=8 then return»end;local SynapseXen_iiIlII=0;for SynapseXen_lIiliIIIiiIlliilIi=1,8 do SynapseXen_iiIlII=SynapseXen_iiIlII+(SynapseXen_IiIilI:sub(SynapseXen_lIiliIIIiiIlliilIi,SynapseXen_lIiliIIIiiIlliilIi)==’1’and 2^(8-SynapseXen_lIiliIIIiiIlliilIi)or 0)end;return string.char(SynapseXen_iiIlII)end)end;SynapseXen_iiiIIIlllIi=SynapseXen_iiIiiililIiilIli(SynapseXen_iiiIIIlllIi)local SynapseXen_illliIillIIlI=SynapseXen_iliiIilliIlilll(SynapseXen_iiiIIIlllIi,1,1)if SynapseXen_illliIillIIlI==»u»then return SynapseXen_iliiIilliIlilll(SynapseXen_iiiIIIlllIi,2)elseif SynapseXen_illliIillIIlI

=0 then SynapseXen_IliiIiliiiiIl=<>SynapseXen_IIllli=setmetatable(<>,<__index=function(SynapseXen_lIiIiIiilI,SynapseXen_liilIillliilIIil)local SynapseXen_lIllIilliIlil=SynapseXen_IliiIiliiiiIl[SynapseXen_liilIillliilIIil]return SynapseXen_lIllIilliIlil[1][SynapseXen_lIllIilliIlil[2]]end,__newindex=function(SynapseXen_lIiIiIiilI,SynapseXen_liilIillliilIIil,SynapseXen_iIliiIlIillIllI)local SynapseXen_lIllIilliIlil=SynapseXen_IliiIiliiiiIl[SynapseXen_liilIillliilIIil]SynapseXen_lIllIilliIlil[1][SynapseXen_lIllIilliIlil[2]]=SynapseXen_iIliiIlIillIllI end>)for SynapseXen_iiiliilIili=1,SynapseXen_llllIIliIiliIIIIllIl[850385513]do local SynapseXen_illiIIlI=SynapseXen_iIlllIl[SynapseXen_liiIllllIliIIIii]if SynapseXen_illiIIlI[1438352328]==104 then SynapseXen_IliiIiliiiiIl[SynapseXen_iiiliilIili-1]=elseif SynapseXen_illiIIlI[1438352328]==186 then SynapseXen_IliiIiliiiiIl[SynapseXen_iiiliilIili-1]=end;SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+1 end;SynapseXen_iliilIiiIIil[#SynapseXen_iliilIiiIIil+1]=SynapseXen_IliiIiliiiiIl end;SynapseXen_llilliI[SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],123,256)]=SynapseXen_IilIiI(SynapseXen_llllIIliIiliIIIIllIl,SynapseXen_iliiI,SynapseXen_IIllli)elseif SynapseXen_IiIillIl==124 then SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],15)]=SynapseXen_IIIllillillIil[SynapseXen_liIllIiIllI(SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[1323971582],256418),SynapseXen_llIlliIiIiliiiiIII,262144)]elseif SynapseXen_IiIillIl==42 then local SynapseXen_IliIIliiIlIlIII=SynapseXen_liIllIiIllI(SynapseXen_IlilII[833787188],117,512)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_liIllIiIllI(SynapseXen_IlilII[1340131138],92,512)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_IliIIliiIlIlIII>255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;SynapseXen_llilliI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],48)]=SynapseXen_IliIIliiIlIlIII/SynapseXen_llliiiIiiilIIlIliIIl elseif SynapseXen_IiIillIl==172 then SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIlllIi(SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],52),SynapseXen_llIlliIiIiliiiiIII,256)]=SynapseXen_iliiI[SynapseXen_IIIllillillIil[SynapseXen_liIllIiIllI(SynapseXen_IlilII[1323971582],43384,262144)]]elseif SynapseXen_IiIillIl==201 then local SynapseXen_IlililIIiII=SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],80,256)local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIliIliIiiIl(SynapseXen_liIllIiIllI(SynapseXen_IlilII[833787188],48,512),SynapseXen_llIlliIiIiliiiiIII)local SynapseXen_llilliI,SynapseXen_IIIIiIliIIlIIilIi=SynapseXen_liIilIIiliiiiilI,SynapseXen_illll;SynapseXen_IIiIIiIl=SynapseXen_IlililIIiII-1;for SynapseXen_iiiliilIili=SynapseXen_IlililIIiII,SynapseXen_IlililIIiII+(SynapseXen_IliIIliiIlIlIII>0 and SynapseXen_IliIIliiIlIlIII-1 or SynapseXen_ililiI)do SynapseXen_llilliI[SynapseXen_iiiliilIili]=SynapseXen_IIIIiIliIIlIIilIi[SynapseXen_iiiliilIili-SynapseXen_IlililIIiII]end elseif SynapseXen_IiIillIl==186 then SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],74)]=SynapseXen_llliil[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],37)]elseif SynapseXen_IiIillIl==74 then if SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[1323971582],109965)==8594 then SynapseXen_liIilIIiliiiiilI[SynapseXen_liIllIiIllI(SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],90,256),SynapseXen_llIlliIiIiliiiiIII,256)]=SynapseXen_iIiillIIl else SynapseXen_liIilIIiliiiiilI[SynapseXen_liIllIiIllI(SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],90,256),SynapseXen_llIlliIiIiliiiiIII,256)]=SynapseXen_IIIlIiiIllI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[1323971582],109965)]end elseif SynapseXen_IiIillIl==62 then SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+SynapseXen_IlilII[554933089]elseif SynapseXen_IiIillIl==131 then local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],44)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_liIllIiIllI(SynapseXen_IlilII[1340131138],65,512)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_IliIIliiIlIlIII>255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;SynapseXen_llilliI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],30)]=SynapseXen_IliIIliiIlIlIII*SynapseXen_llliiiIiiilIIlIliIIl elseif SynapseXen_IiIillIl==238 then local SynapseXen_IlililIIiII=SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],59,256)

=0;local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIlllIi(SynapseXen_IlilII[833787188],126,512)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[1340131138],53)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_IliIIliiIlIlIII>255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;if SynapseXen_IliIIliiIlIlIII==SynapseXen_llliiiIiiilIIlIliIIl

=SynapseXen_IlililIIiII then SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+1 end elseif SynapseXen_IiIillIl==30 then local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],89)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[1340131138],42)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_IliIIliiIlIlIII>255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;SynapseXen_llilliI[SynapseXen_liIllIiIllI(SynapseXen_IlilII[2047985265],44,256)]=SynapseXen_IliIIliiIlIlIII+SynapseXen_llliiiIiiilIIlIliIIl elseif SynapseXen_IiIillIl==11 then local SynapseXen_IlililIIiII=SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],51,256)

=0;local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],86)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IiIlllIi(SynapseXen_liIllIiIllI(SynapseXen_IlilII[1340131138],106,512),SynapseXen_llIlliIiIiliiiiIII,512)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_IliIIliiIlIlIII>255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;if SynapseXen_IliIIliiIlIlIII 255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;if SynapseXen_IliIIliiIlIlIII 255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;SynapseXen_llilliI[SynapseXen_IiIlllIi(SynapseXen_liIllIiIllI(SynapseXen_IlilII[2047985265],82,256),SynapseXen_llIlliIiIiliiiiIII,256)]=SynapseXen_IliIIliiIlIlIII-SynapseXen_llliiiIiiilIIlIliIIl elseif SynapseXen_IiIillIl==146 then SynapseXen_llIlliIiIiliiiiIII=SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],1)]elseif SynapseXen_IiIillIl==104 then SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],45)]=SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],115)]elseif SynapseXen_IiIillIl==120 then local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_liIllIiIllI(SynapseXen_IlilII[1340131138],73,512)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;SynapseXen_llilliI[SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],10,256)]=SynapseXen_llilliI[SynapseXen_IiIlllIi(SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],14),SynapseXen_llIlliIiIiliiiiIII,512)][SynapseXen_llliiiIiiilIIlIliIIl]elseif SynapseXen_IiIillIl==33 then local SynapseXen_IlililIIiII=SynapseXen_IiIliIliIiiIl(SynapseXen_liIllIiIllI(SynapseXen_IlilII[2047985265],71,256),SynapseXen_llIlliIiIiliiiiIII)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IiIlllIi(SynapseXen_IlilII[1340131138],64,512)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;local SynapseXen_IlIlIliIIIIIII=SynapseXen_IlililIIiII+2;local SynapseXen_lIliiIIIiil=for SynapseXen_iiiliilIili=1,SynapseXen_llliiiIiiilIIlIliIIl do SynapseXen_liIilIIiliiiiilI[SynapseXen_IlIlIliIIIIIII+SynapseXen_iiiliilIili]=SynapseXen_lIliiIIIiil[SynapseXen_iiiliilIili]end;if SynapseXen_llilliI[SynapseXen_IlililIIiII+3]

=nil then SynapseXen_llilliI[SynapseXen_IlililIIiII+2]=SynapseXen_llilliI[SynapseXen_IlililIIiII+3]else SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+1 end elseif SynapseXen_IiIillIl==50 then local SynapseXen_IlililIIiII=SynapseXen_liIllIiIllI(SynapseXen_liIllIiIllI(SynapseXen_IlilII[2047985265],34,256),SynapseXen_llIlliIiIiliiiiIII,256)local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIliIliIiiIl(SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],23),SynapseXen_llIlliIiIiliiiiIII)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;local SynapseXen_iIIiliIIll,SynapseXen_IlIilli;local SynapseXen_ililliIliiiIilllIi;local SynapseXen_iillliliIlilill=0;SynapseXen_iIIiliIIll=<>if SynapseXen_IliIIliiIlIlIII

=1 then if SynapseXen_IliIIliiIlIlIII

=0 then SynapseXen_ililliIliiiIilllIi=SynapseXen_IlililIIiII+SynapseXen_IliIIliiIlIlIII-1 else SynapseXen_ililliIliiiIilllIi=SynapseXen_IIiIIiIl end;for SynapseXen_iiiliilIili=SynapseXen_IlililIIiII+1,SynapseXen_ililliIliiiIilllIi do SynapseXen_iIIiliIIll[#SynapseXen_iIIiliIIll+1]=SynapseXen_llilliI[SynapseXen_iiiliilIili]end;SynapseXen_IlIilli=else SynapseXen_IlIilli=end;for SynapseXen_lllIiiiIiiil in next,SynapseXen_IlIilli do if SynapseXen_lllIiiiIiiil>SynapseXen_iillliliIlilill then SynapseXen_iillliliIlilill=SynapseXen_lllIiiiIiiil end end;return SynapseXen_IlIilli,SynapseXen_iillliliIlilill elseif SynapseXen_IiIillIl==149 then local SynapseXen_IliIIliiIlIlIII=SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIlllIi(SynapseXen_liIllIiIllI(SynapseXen_IlilII[833787188],27,512),SynapseXen_llIlliIiIiliiiiIII,512)]if not not SynapseXen_IliIIliiIlIlIII==(SynapseXen_liIllIiIllI(SynapseXen_IlilII[1340131138],6,512)==0)then SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+1 else SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],22,256)]=SynapseXen_IliIIliiIlIlIII end elseif SynapseXen_IiIillIl==72 then local SynapseXen_IliIIliiIlIlIII,SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],41),SynapseXen_liIllIiIllI(SynapseXen_IlilII[1340131138],84,512)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_IliIIliiIlIlIII>255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;SynapseXen_llilliI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],40)][SynapseXen_IliIIliiIlIlIII]=SynapseXen_llliiiIiiilIIlIliIIl elseif SynapseXen_IiIillIl==113 then local SynapseXen_IlililIIiII=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],94)local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[833787188],126)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;local SynapseXen_iiIliI,SynapseXen_IlilI;local SynapseXen_ililliIliiiIilllIi;if SynapseXen_IliIIliiIlIlIII==1 then return elseif SynapseXen_IliIIliiIlIlIII==0 then SynapseXen_ililliIliiiIilllIi=SynapseXen_IIiIIiIl else SynapseXen_ililliIliiiIilllIi=SynapseXen_IlililIIiII+SynapseXen_IliIIliiIlIlIII-2 end;SynapseXen_IlilI=<>SynapseXen_iiIliI=0;for SynapseXen_iiiliilIili=SynapseXen_IlililIIiII,SynapseXen_ililliIliiiIilllIi do SynapseXen_iiIliI=SynapseXen_iiIliI+1;SynapseXen_IlilI[SynapseXen_iiIliI]=SynapseXen_llilliI[SynapseXen_iiiliilIili]end;return SynapseXen_IlilI,SynapseXen_iiIliI elseif SynapseXen_IiIillIl==97 then SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIlllIi(SynapseXen_IiIlllIi(SynapseXen_IlilII[2047985265],116,256),SynapseXen_llIlliIiIiliiiiIII,256)]=SynapseXen_liIllIiIllI(SynapseXen_IlilII[833787188],42,512)

=0 then SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+1 end elseif SynapseXen_IiIillIl==87 then local SynapseXen_IlililIIiII=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],103)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;SynapseXen_llilliI[SynapseXen_IlililIIiII]=assert(tonumber(SynapseXen_llilliI[SynapseXen_IlililIIiII]),’`for` initial value must be a number’)SynapseXen_llilliI[SynapseXen_IlililIIiII+1]=assert(tonumber(SynapseXen_llilliI[SynapseXen_IlililIIiII+1]),’`for` limit must be a number’)SynapseXen_llilliI[SynapseXen_IlililIIiII+2]=assert(tonumber(SynapseXen_llilliI[SynapseXen_IlililIIiII+2]),’`for` step must be a number’)SynapseXen_llilliI[SynapseXen_IlililIIiII]=SynapseXen_llilliI[SynapseXen_IlililIIiII]-SynapseXen_llilliI[SynapseXen_IlililIIiII+2]SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+SynapseXen_IlilII[554933089]elseif SynapseXen_IiIillIl==203 then local SynapseXen_IlililIIiII=SynapseXen_liIllIiIllI(SynapseXen_IlilII[2047985265],14,256)local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIlllIi(SynapseXen_IlilII[833787188],99,512)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_liIllIiIllI(SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[1340131138],72),SynapseXen_llIlliIiIiliiiiIII,512)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;SynapseXen_llilliI[SynapseXen_IlililIIiII+1]=SynapseXen_IliIIliiIlIlIII;SynapseXen_llilliI[SynapseXen_IlililIIiII]=SynapseXen_IliIIliiIlIlIII[SynapseXen_llliiiIiiilIIlIliIIl]elseif SynapseXen_IiIillIl==82 then local SynapseXen_IliIIliiIlIlIII=SynapseXen_liIllIiIllI(SynapseXen_IlilII[833787188],63,512)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[1340131138],39)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_IliIIliiIlIlIII>255 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIIllillillIil[SynapseXen_IliIIliiIlIlIII-256]else SynapseXen_IliIIliiIlIlIII=SynapseXen_llilliI[SynapseXen_IliIIliiIlIlIII]end;if SynapseXen_llliiiIiiilIIlIliIIl>255 then SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IIIllillillIil[SynapseXen_llliiiIiiilIIlIliIIl-256]else SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_llilliI[SynapseXen_llliiiIiiilIIlIliIIl]end;SynapseXen_llilliI[SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],120)]=SynapseXen_IliIIliiIlIlIII%SynapseXen_llliiiIiiilIIlIliIIl elseif SynapseXen_IiIillIl==23 then local SynapseXen_IlililIIiII=SynapseXen_liIllIiIllI(SynapseXen_liIllIiIllI(SynapseXen_IlilII[2047985265],110,256),SynapseXen_llIlliIiIiliiiiIII,256)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;local SynapseXen_IlIIIlIilIliIililIi=SynapseXen_llilliI[SynapseXen_IlililIIiII+2]local SynapseXen_lllIiiiIiiil=SynapseXen_llilliI[SynapseXen_IlililIIiII]+SynapseXen_IlIIIlIilIliIililIi;SynapseXen_llilliI[SynapseXen_IlililIIiII]=SynapseXen_lllIiiiIiiil;if SynapseXen_IlIIIlIilIliIililIi>0 then if SynapseXen_lllIiiiIiiil =SynapseXen_llilliI[SynapseXen_IlililIIiII+1]then SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+SynapseXen_IlilII[554933089]SynapseXen_llilliI[SynapseXen_IlililIIiII+3]=SynapseXen_lllIiiiIiiil end end elseif SynapseXen_IiIillIl==215 then SynapseXen_liIilIIiliiiiilI[SynapseXen_liIllIiIllI(SynapseXen_IlilII[2047985265],126,256)]=#SynapseXen_liIilIIiliiiiilI[SynapseXen_liIllIiIllI(SynapseXen_IlilII[833787188],105,512)]elseif SynapseXen_IiIillIl==148 then SynapseXen_llliil[SynapseXen_IiIliIliIiiIl(SynapseXen_liIllIiIllI(SynapseXen_IlilII[833787188],57,512),SynapseXen_llIlliIiIiliiiiIII)]=SynapseXen_liIilIIiliiiiilI[SynapseXen_IiIlllIi(SynapseXen_IiIliIliIiiIl(SynapseXen_IlilII[2047985265],49),SynapseXen_llIlliIiIiliiiiIII,256)]elseif SynapseXen_IiIillIl==239 then local SynapseXen_IlililIIiII=SynapseXen_liIllIiIllI(SynapseXen_IlilII[2047985265],1,256)local SynapseXen_IliIIliiIlIlIII=SynapseXen_IiIlllIi(SynapseXen_IlilII[833787188],20,512)local SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_IiIlllIi(SynapseXen_IlilII[1340131138],13,512)local SynapseXen_llilliI=SynapseXen_liIilIIiliiiiilI;if SynapseXen_llliiiIiiilIIlIliIIl==0 then SynapseXen_liiIllllIliIIIii=SynapseXen_liiIllllIliIIIii+1;SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_iIlllIl[SynapseXen_liiIllllIliIIIii][155493923]end;local SynapseXen_IlIlIliIIIIIII=(SynapseXen_llliiiIiiilIIlIliIIl-1)*50;local SynapseXen_lIiilIllililIIIIliIi=SynapseXen_llilliI[SynapseXen_IlililIIiII]if SynapseXen_IliIIliiIlIlIII==0 then SynapseXen_IliIIliiIlIlIII=SynapseXen_IIiIIiIl-SynapseXen_IlililIIiII end;for SynapseXen_iiiliilIili=1,SynapseXen_IliIIliiIlIlIII do SynapseXen_lIiilIllililIIIIliIi[SynapseXen_IlIlIliIIIIIII+SynapseXen_iiiliilIili]=SynapseXen_llilliI[SynapseXen_IlililIIiII+SynapseXen_iiiliilIili]end end end end;local SynapseXen_iIIiliIIll=<. >for SynapseXen_iiiliilIili=0,SynapseXen_ililiI do if SynapseXen_iiiliilIili>=SynapseXen_llIlIIIillIiilIi[1518102321]then SynapseXen_illll[SynapseXen_iiiliilIili-SynapseXen_llIlIIIillIiilIi[1518102321]]=SynapseXen_iIIiliIIll[SynapseXen_iiiliilIili+1]else SynapseXen_liIilIIiliiiiilI[SynapseXen_iiiliilIili]=SynapseXen_iIIiliIIll[SynapseXen_iiiliilIili+1]end end;local SynapseXen_IliIIliiIlIlIII,SynapseXen_llliiiIiiilIIlIliIIl=SynapseXen_iliiliilIIIilIIi()if SynapseXen_IliIIliiIlIlIII and SynapseXen_llliiiIiiilIIlIliIIl>0 then return unpack(SynapseXen_IliIIliiIlIlIII,1,SynapseXen_llliiiIiiilIIlIliIIl)end;return end end;local function SynapseXen_iIllIIlIliiIilIiI(SynapseXen_IiilIii,SynapseXen_iliiI)local SynapseXen_IIlIlilIiIilli=SynapseXen_llIliIIIIIIiIIII(SynapseXen_IiilIii)return SynapseXen_IilIiI(SynapseXen_IIlIlilIiIilli,SynapseXen_iliiI or getfenv(0)),SynapseXen_IIlIlilIiIilli end;return SynapseXen_iIllIIlIliiIilIiI(SynapseXen_Iiiil(«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»),getfenv())()

Источник