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/*!
   *  decimal.js v10.4.3
   *  An arbitrary-precision Decimal type for JavaScript.
   *  https://github.com/MikeMcl/decimal.js
   *  Copyright (c) 2022 Michael Mclaughlin <M8ch88l@gmail.com>
   *  MIT Licence
   */
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Ctor(NaN):x.isZero()?getPi(Ctor,pr+4,rm).times(.5):(Ctor.precision=pr+6,Ctor.rounding=1,x=x.asin(),halfPi=getPi(Ctor,pr+4,rm).times(.5),Ctor.precision=pr,Ctor.rounding=rm,halfPi.minus(x))},P.inverseHyperbolicCosine=P.acosh=function(){var pr,rm,x=this,Ctor=x.constructor;return x.lte(1)?new Ctor(x.eq(1)?0:NaN):x.isFinite()?(pr=Ctor.precision,rm=Ctor.rounding,Ctor.precision=pr+Math.max(Math.abs(x.e),x.sd())+4,Ctor.rounding=1,external=!1,x=x.times(x).minus(1).sqrt().plus(x),external=!0,Ctor.precision=pr,Ctor.rounding=rm,x.ln()):new Ctor(x)},P.inverseHyperbolicSine=P.asinh=function(){var pr,rm,x=this,Ctor=x.constructor;return!x.isFinite()||x.isZero()?new Ctor(x):(pr=Ctor.precision,rm=Ctor.rounding,Ctor.precision=pr+2*Math.max(Math.abs(x.e),x.sd())+6,Ctor.rounding=1,external=!1,x=x.times(x).plus(1).sqrt().plus(x),external=!0,Ctor.precision=pr,Ctor.rounding=rm,x.ln())},P.inverseHyperbolicTangent=P.atanh=function(){var pr,rm,wpr,xsd,x=this,Ctor=x.constructor;return x.isFinite()?x.e>=0?new Ctor(x.abs().eq(1)?x.s/0:x.isZero()?x:NaN):(pr=Ctor.precision,rm=Ctor.rounding,xsd=x.sd(),Math.max(xsd,pr)<2*-x.e-1?finalise(new Ctor(x),pr,rm,!0):(Ctor.precision=wpr=xsd-x.e,x=divide(x.plus(1),new Ctor(1).minus(x),wpr+pr,1),Ctor.precision=pr+4,Ctor.rounding=1,x=x.ln(),Ctor.precision=pr,Ctor.rounding=rm,x.times(.5))):new Ctor(NaN)},P.inverseSine=P.asin=function(){var halfPi,k,pr,rm,x=this,Ctor=x.constructor;return x.isZero()?new Ctor(x):(k=x.abs().cmp(1),pr=Ctor.precision,rm=Ctor.rounding,-1!==k?0===k?((halfPi=getPi(Ctor,pr+4,rm).times(.5)).s=x.s,halfPi):new Ctor(NaN):(Ctor.precision=pr+6,Ctor.rounding=1,x=x.div(new Ctor(1).minus(x.times(x)).sqrt().plus(1)).atan(),Ctor.precision=pr,Ctor.rounding=rm,x.times(2)))},P.inverseTangent=P.atan=function(){var i,j,k,n,px,t,r,wpr,x2,x=this,Ctor=x.constructor,pr=Ctor.precision,rm=Ctor.rounding;if(x.isFinite()){if(x.isZero())return new Ctor(x);if(x.abs().eq(1)&&pr+4<=PI_PRECISION)return(r=getPi(Ctor,pr+4,rm).times(.25)).s=x.s,r}else{if(!x.s)return new Ctor(NaN);if(pr+4<=PI_PRECISION)return(r=getPi(Ctor,pr+4,rm).times(.5)).s=x.s,r}for(Ctor.precision=wpr=pr+10,Ctor.rounding=1,i=k=Math.min(28,wpr/7+2|0);i;--i)x=x.div(x.times(x).plus(1).sqrt().plus(1));for(external=!1,j=Math.ceil(wpr/7),n=1,x2=x.times(x),r=new Ctor(x),px=x;-1!==i;)if(px=px.times(x2),t=r.minus(px.div(n+=2)),px=px.times(x2),void 0!==(r=t.plus(px.div(n+=2))).d[j])for(i=j;r.d[i]===t.d[i]&&i--;);return k&&(r=r.times(2<<k-1)),external=!0,finalise(r,Ctor.precision=pr,Ctor.rounding=rm,!0)},P.isFinite=function(){return!!this.d},P.isInteger=P.isInt=function(){return!!this.d&&mathfloor(this.e/7)>this.d.length-2},P.isNaN=function(){return!this.s},P.isNegative=P.isNeg=function(){return this.s<0},P.isPositive=P.isPos=function(){return this.s>0},P.isZero=function(){return!!this.d&&0===this.d[0]},P.lessThan=P.lt=function(y){return this.cmp(y)<0},P.lessThanOrEqualTo=P.lte=function(y){return this.cmp(y)<1},P.logarithm=P.log=function(base){var isBase10,d,denominator,k,inf,num,sd,r,Ctor=this.constructor,pr=Ctor.precision,rm=Ctor.rounding;if(null==base)base=new Ctor(10),isBase10=!0;else{if(d=(base=new Ctor(base)).d,base.s<0||!d||!d[0]||base.eq(1))return new Ctor(NaN);isBase10=base.eq(10)}if(d=this.d,this.s<0||!d||!d[0]||this.eq(1))return new Ctor(d&&!d[0]?-1/0:1!=this.s?NaN:d?0:1/0);if(isBase10)if(d.length>1)inf=!0;else{for(k=d[0];k%10==0;)k/=10;inf=1!==k}if(external=!1,num=naturalLogarithm(this,sd=pr+5),denominator=isBase10?getLn10(Ctor,sd+10):naturalLogarithm(base,sd),checkRoundingDigits((r=divide(num,denominator,sd,1)).d,k=pr,rm))do{if(num=naturalLogarithm(this,sd+=10),denominator=isBase10?getLn10(Ctor,sd+10):naturalLogarithm(base,sd),r=divide(num,denominator,sd,1),!inf){+digitsToString(r.d).slice(k+1,k+15)+1==1e14&&(r=finalise(r,pr+1,0));break}}while(checkRoundingDigits(r.d,k+=10,rm));return external=!0,finalise(r,pr,rm)},P.minus=P.sub=function(y){var d,e,i,j,k,len,pr,rm,xd,xe,xLTy,yd,x=this,Ctor=x.constructor;if(y=new Ctor(y),!x.d||!y.d)return x.s&&y.s?x.d?y.s=-y.s:y=new Ctor(y.d||x.s!==y.s?x:NaN):y=new Ctor(NaN),y;if(x.s!=y.s)return y.s=-y.s,x.plus(y);if(xd=x.d,yd=y.d,pr=Ctor.precision,rm=Ctor.rounding,!xd[0]||!yd[0]){if(yd[0])y.s=-y.s;else{if(!xd[0])return new Ctor(3===rm?-0:0);y=new Ctor(x)}return external?finalise(y,pr,rm):y}if(e=mathfloor(y.e/7),xe=mathfloor(x.e/7),xd=xd.slice(),k=xe-e){for((xLTy=k<0)?(d=xd,k=-k,len=yd.length):(d=yd,e=xe,len=xd.length),k>(i=Math.max(Math.ceil(pr/7),len)+2)&&(k=i,d.length=1),d.reverse(),i=k;i--;)d.push(0);d.reverse()}else{for((xLTy=(i=xd.length)<(len=yd.length))&&(len=i),i=0;i<len;i++)if(xd[i]!=yd[i]){xLTy=xd[i]<yd[i];break}k=0}for(xLTy&&(d=xd,xd=yd,yd=d,y.s=-y.s),len=xd.length,i=yd.length-len;i>0;--i)xd[len++]=0;for(i=yd.length;i>k;){if(xd[--i]<yd[i]){for(j=i;j&&0===xd[--j];)xd[j]=BASE-1;--xd[j],xd[i]+=BASE}xd[i]-=yd[i]}for(;0===xd[--len];)xd.pop();for(;0===xd[0];xd.shift())--e;return xd[0]?(y.d=xd,y.e=getBase10Exponent(xd,e),external?finalise(y,pr,rm):y):new Ctor(3===rm?-0:0)},P.modulo=P.mod=function(y){var q,x=this,Ctor=x.constructor;return y=new Ctor(y),!x.d||!y.s||y.d&&!y.d[0]?new Ctor(NaN):!y.d||x.d&&!x.d[0]?finalise(new Ctor(x),Ctor.precision,Ctor.rounding):(external=!1,9==Ctor.modulo?(q=divide(x,y.abs(),0,3,1)).s*=y.s:q=divide(x,y,0,Ctor.modulo,1),q=q.times(y),external=!0,x.minus(q))},P.naturalExponential=P.exp=function(){return naturalExponential(this)},P.naturalLogarithm=P.ln=function(){return naturalLogarithm(this)},P.negated=P.neg=function(){var x=new this.constructor(this);return x.s=-x.s,finalise(x)},P.plus=P.add=function(y){var carry,d,e,i,k,len,pr,rm,xd,yd,x=this,Ctor=x.constructor;if(y=new Ctor(y),!x.d||!y.d)return x.s&&y.s?x.d||(y=new Ctor(y.d||x.s===y.s?x:NaN)):y=new Ctor(NaN),y;if(x.s!=y.s)return y.s=-y.s,x.minus(y);if(xd=x.d,yd=y.d,pr=Ctor.precision,rm=Ctor.rounding,!xd[0]||!yd[0])return yd[0]||(y=new Ctor(x)),external?finalise(y,pr,rm):y;if(k=mathfloor(x.e/7),e=mathfloor(y.e/7),xd=xd.slice(),i=k-e){for(i<0?(d=xd,i=-i,len=yd.length):(d=yd,e=k,len=xd.length),i>(len=(k=Math.ceil(pr/7))>len?k+1:len+1)&&(i=len,d.length=1),d.reverse();i--;)d.push(0);d.reverse()}for((len=xd.length)-(i=yd.length)<0&&(i=len,d=yd,yd=xd,xd=d),carry=0;i;)carry=(xd[--i]=xd[i]+yd[i]+carry)/BASE|0,xd[i]%=BASE;for(carry&&(xd.unshift(carry),++e),len=xd.length;0==xd[--len];)xd.pop();return y.d=xd,y.e=getBase10Exponent(xd,e),external?finalise(y,pr,rm):y},P.precision=P.sd=function(z){var k,x=this;if(void 0!==z&&z!==!!z&&1!==z&&0!==z)throw Error(invalidArgument+z);return x.d?(k=getPrecision(x.d),z&&x.e+1>k&&(k=x.e+1)):k=NaN,k},P.round=function(){var x=this,Ctor=x.constructor;return finalise(new Ctor(x),x.e+1,Ctor.rounding)},P.sine=P.sin=function(){var pr,rm,x=this,Ctor=x.constructor;return x.isFinite()?x.isZero()?new Ctor(x):(pr=Ctor.precision,rm=Ctor.rounding,Ctor.precision=pr+Math.max(x.e,x.sd())+7,Ctor.rounding=1,x=function(Ctor,x){var k,len=x.d.length;if(len<3)return x.isZero()?x:taylorSeries(Ctor,2,x,x);k=(k=1.4*Math.sqrt(len))>16?16:0|k,x=x.times(1/tinyPow(5,k)),x=taylorSeries(Ctor,2,x,x);for(var sin2_x,d5=new Ctor(5),d16=new Ctor(16),d20=new Ctor(20);k--;)sin2_x=x.times(x),x=x.times(d5.plus(sin2_x.times(d16.times(sin2_x).minus(d20))));return x}(Ctor,toLessThanHalfPi(Ctor,x)),Ctor.precision=pr,Ctor.rounding=rm,finalise(quadrant>2?x.neg():x,pr,rm,!0)):new Ctor(NaN)},P.squareRoot=P.sqrt=function(){var m,n,sd,r,rep,t,x=this,d=x.d,e=x.e,s=x.s,Ctor=x.constructor;if(1!==s||!d||!d[0])return new Ctor(!s||s<0&&(!d||d[0])?NaN:d?x:1/0);for(external=!1,0==(s=Math.sqrt(+x))||s==1/0?(((n=digitsToString(d)).length+e)%2==0&&(n+="0"),s=Math.sqrt(n),e=mathfloor((e+1)/2)-(e<0||e%2),r=new Ctor(n=s==1/0?"5e"+e:(n=s.toExponential()).slice(0,n.indexOf("e")+1)+e)):r=new Ctor(s.toString()),sd=(e=Ctor.precision)+3;;)if(r=(t=r).plus(divide(x,t,sd+2,1)).times(.5),digitsToString(t.d).slice(0,sd)===(n=digitsToString(r.d)).slice(0,sd)){if("9999"!=(n=n.slice(sd-3,sd+1))&&(rep||"4999"!=n)){+n&&(+n.slice(1)||"5"!=n.charAt(0))||(finalise(r,e+1,1),m=!r.times(r).eq(x));break}if(!rep&&(finalise(t,e+1,0),t.times(t).eq(x))){r=t;break}sd+=4,rep=1}return external=!0,finalise(r,e,Ctor.rounding,m)},P.tangent=P.tan=function(){var pr,rm,x=this,Ctor=x.constructor;return x.isFinite()?x.isZero()?new Ctor(x):(pr=Ctor.precision,rm=Ctor.rounding,Ctor.precision=pr+10,Ctor.rounding=1,(x=x.sin()).s=1,x=divide(x,new Ctor(1).minus(x.times(x)).sqrt(),pr+10,0),Ctor.precision=pr,Ctor.rounding=rm,finalise(2==quadrant||4==quadrant?x.neg():x,pr,rm,!0)):new Ctor(NaN)},P.times=P.mul=function(y){var carry,e,i,k,r,rL,t,xdL,ydL,x=this,Ctor=x.constructor,xd=x.d,yd=(y=new Ctor(y)).d;if(y.s*=x.s,!(xd&&xd[0]&&yd&&yd[0]))return new Ctor(!y.s||xd&&!xd[0]&&!yd||yd&&!yd[0]&&!xd?NaN:xd&&yd?0*y.s:y.s/0);for(e=mathfloor(x.e/7)+mathfloor(y.e/7),(xdL=xd.length)<(ydL=yd.length)&&(r=xd,xd=yd,yd=r,rL=xdL,xdL=ydL,ydL=rL),r=[],i=rL=xdL+ydL;i--;)r.push(0);for(i=ydL;--i>=0;){for(carry=0,k=xdL+i;k>i;)t=r[k]+yd[i]*xd[k-i-1]+carry,r[k--]=t%BASE|0,carry=t/BASE|0;r[k]=(r[k]+carry)%BASE|0}for(;!r[--rL];)r.pop();return carry?++e:r.shift(),y.d=r,y.e=getBase10Exponent(r,e),external?finalise(y,Ctor.precision,Ctor.rounding):y},P.toBinary=function(sd,rm){return toStringBinary(this,2,sd,rm)},P.toDecimalPlaces=P.toDP=function(dp,rm){var x=this,Ctor=x.constructor;return x=new Ctor(x),void 0===dp?x:(checkInt32(dp,0,1e9),void 0===rm?rm=Ctor.rounding:checkInt32(rm,0,8),finalise(x,dp+x.e+1,rm))},P.toExponential=function(dp,rm){var str,x=this,Ctor=x.constructor;return void 0===dp?str=finiteToString(x,!0):(checkInt32(dp,0,1e9),void 0===rm?rm=Ctor.rounding:checkInt32(rm,0,8),str=finiteToString(x=finalise(new Ctor(x),dp+1,rm),!0,dp+1)),x.isNeg()&&!x.isZero()?"-"+str:str},P.toFixed=function(dp,rm){var str,y,x=this,Ctor=x.constructor;return void 0===dp?str=finiteToString(x):(checkInt32(dp,0,1e9),void 0===rm?rm=Ctor.rounding:checkInt32(rm,0,8),str=finiteToString(y=finalise(new Ctor(x),dp+x.e+1,rm),!1,dp+y.e+1)),x.isNeg()&&!x.isZero()?"-"+str:str},P.toFraction=function(maxD){var d,d0,d1,d2,e,k,n,n0,n1,pr,q,r,x=this,xd=x.d,Ctor=x.constructor;if(!xd)return new Ctor(x);if(n1=d0=new Ctor(1),d1=n0=new Ctor(0),k=(e=(d=new Ctor(d1)).e=getPrecision(xd)-x.e-1)%7,d.d[0]=mathpow(10,k<0?7+k:k),null==maxD)maxD=e>0?d:n1;else{if(!(n=new Ctor(maxD)).isInt()||n.lt(n1))throw Error(invalidArgument+n);maxD=n.gt(d)?e>0?d:n1:n}for(external=!1,n=new Ctor(digitsToString(xd)),pr=Ctor.precision,Ctor.precision=e=7*xd.length*2;q=divide(n,d,0,1,1),1!=(d2=d0.plus(q.times(d1))).cmp(maxD);)d0=d1,d1=d2,d2=n1,n1=n0.plus(q.times(d2)),n0=d2,d2=d,d=n.minus(q.times(d2)),n=d2;return d2=divide(maxD.minus(d0),d1,0,1,1),n0=n0.plus(d2.times(n1)),d0=d0.plus(d2.times(d1)),n0.s=n1.s=x.s,r=divide(n1,d1,e,1).minus(x).abs().cmp(divide(n0,d0,e,1).minus(x).abs())<1?[n1,d1]:[n0,d0],Ctor.precision=pr,external=!0,r},P.toHexadecimal=P.toHex=function(sd,rm){return toStringBinary(this,16,sd,rm)},P.toNearest=function(y,rm){var x=this,Ctor=x.constructor;if(x=new Ctor(x),null==y){if(!x.d)return x;y=new Ctor(1),rm=Ctor.rounding}else{if(y=new Ctor(y),void 0===rm?rm=Ctor.rounding:checkInt32(rm,0,8),!x.d)return y.s?x:y;if(!y.d)return y.s&&(y.s=x.s),y}return y.d[0]?(external=!1,x=divide(x,y,0,rm,1).times(y),external=!0,finalise(x)):(y.s=x.s,x=y),x},P.toNumber=function(){return+this},P.toOctal=function(sd,rm){return toStringBinary(this,8,sd,rm)},P.toPower=P.pow=function(y){var e,k,pr,r,rm,s,x=this,Ctor=x.constructor,yn=+(y=new Ctor(y));if(!(x.d&&y.d&&x.d[0]&&y.d[0]))return new Ctor(mathpow(+x,yn));if((x=new Ctor(x)).eq(1))return x;if(pr=Ctor.precision,rm=Ctor.rounding,y.eq(1))return finalise(x,pr,rm);if((e=mathfloor(y.e/7))>=y.d.length-1&&(k=yn<0?-yn:yn)<=9007199254740991)return r=intPow(Ctor,x,k,pr),y.s<0?new Ctor(1).div(r):finalise(r,pr,rm);if((s=x.s)<0){if(e<y.d.length-1)return new Ctor(NaN);if(1&y.d[e]||(s=1),0==x.e&&1==x.d[0]&&1==x.d.length)return x.s=s,x}return(e=0!=(k=mathpow(+x,yn))&&isFinite(k)?new Ctor(k+"").e:mathfloor(yn*(Math.log("0."+digitsToString(x.d))/Math.LN10+x.e+1)))>Ctor.maxE+1||e<Ctor.minE-1?new Ctor(e>0?s/0:0):(external=!1,Ctor.rounding=x.s=1,k=Math.min(12,(e+"").length),(r=naturalExponential(y.times(naturalLogarithm(x,pr+k)),pr)).d&&checkRoundingDigits((r=finalise(r,pr+5,1)).d,pr,rm)&&(e=pr+10,+digitsToString((r=finalise(naturalExponential(y.times(naturalLogarithm(x,e+k)),e),e+5,1)).d).slice(pr+1,pr+15)+1==1e14&&(r=finalise(r,pr+1,0))),r.s=s,external=!0,Ctor.rounding=rm,finalise(r,pr,rm))},P.toPrecision=function(sd,rm){var str,x=this,Ctor=x.constructor;return void 0===sd?str=finiteToString(x,x.e<=Ctor.toExpNeg||x.e>=Ctor.toExpPos):(checkInt32(sd,1,1e9),void 0===rm?rm=Ctor.rounding:checkInt32(rm,0,8),str=finiteToString(x=finalise(new Ctor(x),sd,rm),sd<=x.e||x.e<=Ctor.toExpNeg,sd)),x.isNeg()&&!x.isZero()?"-"+str:str},P.toSignificantDigits=P.toSD=function(sd,rm){var Ctor=this.constructor;return void 0===sd?(sd=Ctor.precision,rm=Ctor.rounding):(checkInt32(sd,1,1e9),void 0===rm?rm=Ctor.rounding:checkInt32(rm,0,8)),finalise(new Ctor(this),sd,rm)},P.toString=function(){var x=this,Ctor=x.constructor,str=finiteToString(x,x.e<=Ctor.toExpNeg||x.e>=Ctor.toExpPos);return x.isNeg()&&!x.isZero()?"-"+str:str},P.truncated=P.trunc=function(){return finalise(new this.constructor(this),this.e+1,1)},P.valueOf=P.toJSON=function(){var x=this,Ctor=x.constructor,str=finiteToString(x,x.e<=Ctor.toExpNeg||x.e>=Ctor.toExpPos);return x.isNeg()?"-"+str:str};var divide=function(){function multiplyInteger(x,k,base){var temp,carry=0,i=x.length;for(x=x.slice();i--;)temp=x[i]*k+carry,x[i]=temp%base|0,carry=temp/base|0;return carry&&x.unshift(carry),x}function compare(a,b,aL,bL){var i,r;if(aL!=bL)r=aL>bL?1:-1;else for(i=r=0;i<aL;i++)if(a[i]!=b[i]){r=a[i]>b[i]?1:-1;break}return r}function subtract(a,b,aL,base){for(var i=0;aL--;)a[aL]-=i,i=a[aL]<b[aL]?1:0,a[aL]=i*base+a[aL]-b[aL];for(;!a[0]&&a.length>1;)a.shift()}return function(x,y,pr,rm,dp,base){var cmp,e,i,k,logBase,more,prod,prodL,q,qd,rem,remL,rem0,sd,t,xi,xL,yd0,yL,yz,Ctor=x.constructor,sign=x.s==y.s?1:-1,xd=x.d,yd=y.d;if(!(xd&&xd[0]&&yd&&yd[0]))return new Ctor(x.s&&y.s&&(xd?!yd||xd[0]!=yd[0]:yd)?xd&&0==xd[0]||!yd?0*sign:sign/0:NaN);for(base?(logBase=1,e=x.e-y.e):(base=BASE,logBase=7,e=mathfloor(x.e/logBase)-mathfloor(y.e/logBase)),yL=yd.length,xL=xd.length,qd=(q=new Ctor(sign)).d=[],i=0;yd[i]==(xd[i]||0);i++);if(yd[i]>(xd[i]||0)&&e--,null==pr?(sd=pr=Ctor.precision,rm=Ctor.rounding):sd=dp?pr+(x.e-y.e)+1:pr,sd<0)qd.push(1),more=!0;else{if(sd=sd/logBase+2|0,i=0,1==yL){for(k=0,yd=yd[0],sd++;(i<xL||k)&&sd--;i++)t=k*base+(xd[i]||0),qd[i]=t/yd|0,k=t%yd|0;more=k||i<xL}else{for((k=base/(yd[0]+1)|0)>1&&(yd=multiplyInteger(yd,k,base),xd=multiplyInteger(xd,k,base),yL=yd.length,xL=xd.length),xi=yL,remL=(rem=xd.slice(0,yL)).length;remL<yL;)rem[remL++]=0;(yz=yd.slice()).unshift(0),yd0=yd[0],yd[1]>=base/2&&++yd0;do{k=0,(cmp=compare(yd,rem,yL,remL))<0?(rem0=rem[0],yL!=remL&&(rem0=rem0*base+(rem[1]||0)),(k=rem0/yd0|0)>1?(k>=base&&(k=base-1),1==(cmp=compare(prod=multiplyInteger(yd,k,base),rem,prodL=prod.length,remL=rem.length))&&(k--,subtract(prod,yL<prodL?yz:yd,prodL,base))):(0==k&&(cmp=k=1),prod=yd.slice()),(prodL=prod.length)<remL&&prod.unshift(0),subtract(rem,prod,remL,base),-1==cmp&&(cmp=compare(yd,rem,yL,remL=rem.length))<1&&(k++,subtract(rem,yL<remL?yz:yd,remL,base)),remL=rem.length):0===cmp&&(k++,rem=[0]),qd[i++]=k,cmp&&rem[0]?rem[remL++]=xd[xi]||0:(rem=[xd[xi]],remL=1)}while((xi++<xL||void 0!==rem[0])&&sd--);more=void 0!==rem[0]}qd[0]||qd.shift()}if(1==logBase)q.e=e,inexact=more;else{for(i=1,k=qd[0];k>=10;k/=10)i++;q.e=i+e*logBase-1,finalise(q,dp?pr+q.e+1:pr,rm,more)}return q}}();function finalise(x,sd,rm,isTruncated){var digits,i,j,k,rd,roundUp,w,xd,xdi,Ctor=x.constructor;out:if(null!=sd){if(!(xd=x.d))return x;for(digits=1,k=xd[0];k>=10;k/=10)digits++;if((i=sd-digits)<0)i+=7,j=sd,rd=(w=xd[xdi=0])/mathpow(10,digits-j-1)%10|0;else if((xdi=Math.ceil((i+1)/7))>=(k=xd.length)){if(!isTruncated)break out;for(;k++<=xdi;)xd.push(0);w=rd=0,digits=1,j=(i%=7)-7+1}else{for(w=k=xd[xdi],digits=1;k>=10;k/=10)digits++;rd=(j=(i%=7)-7+digits)<0?0:w/mathpow(10,digits-j-1)%10|0}if(isTruncated=isTruncated||sd<0||void 0!==xd[xdi+1]||(j<0?w:w%mathpow(10,digits-j-1)),roundUp=rm<4?(rd||isTruncated)&&(0==rm||rm==(x.s<0?3:2)):rd>5||5==rd&&(4==rm||isTruncated||6==rm&&(i>0?j>0?w/mathpow(10,digits-j):0:xd[xdi-1])%10&1||rm==(x.s<0?8:7)),sd<1||!xd[0])return xd.length=0,roundUp?(sd-=x.e+1,xd[0]=mathpow(10,(7-sd%7)%7),x.e=-sd||0):xd[0]=x.e=0,x;if(0==i?(xd.length=xdi,k=1,xdi--):(xd.length=xdi+1,k=mathpow(10,7-i),xd[xdi]=j>0?(w/mathpow(10,digits-j)%mathpow(10,j)|0)*k:0),roundUp)for(;;){if(0==xdi){for(i=1,j=xd[0];j>=10;j/=10)i++;for(j=xd[0]+=k,k=1;j>=10;j/=10)k++;i!=k&&(x.e++,xd[0]==BASE&&(xd[0]=1));break}if(xd[xdi]+=k,xd[xdi]!=BASE)break;xd[xdi--]=0,k=1}for(i=xd.length;0===xd[--i];)xd.pop()}return external&&(x.e>Ctor.maxE?(x.d=null,x.e=NaN):x.e<Ctor.minE&&(x.e=0,x.d=[0])),x}function finiteToString(x,isExp,sd){if(!x.isFinite())return nonFiniteToString(x);var k,e=x.e,str=digitsToString(x.d),len=str.length;return isExp?(sd&&(k=sd-len)>0?str=str.charAt(0)+"."+str.slice(1)+getZeroString(k):len>1&&(str=str.charAt(0)+"."+str.slice(1)),str=str+(x.e<0?"e":"e+")+x.e):e<0?(str="0."+getZeroString(-e-1)+str,sd&&(k=sd-len)>0&&(str+=getZeroString(k))):e>=len?(str+=getZeroString(e+1-len),sd&&(k=sd-e-1)>0&&(str=str+"."+getZeroString(k))):((k=e+1)<len&&(str=str.slice(0,k)+"."+str.slice(k)),sd&&(k=sd-len)>0&&(e+1===len&&(str+="."),str+=getZeroString(k))),str}function getBase10Exponent(digits,e){var w=digits[0];for(e*=7;w>=10;w/=10)e++;return e}function getLn10(Ctor,sd,pr){if(sd>LN10_PRECISION)throw external=!0,pr&&(Ctor.precision=pr),Error("[DecimalError] Precision limit exceeded");return finalise(new Ctor(LN10),sd,1,!0)}function getPi(Ctor,sd,rm){if(sd>PI_PRECISION)throw Error("[DecimalError] Precision limit exceeded");return finalise(new Ctor(PI),sd,rm,!0)}function getPrecision(digits){var w=digits.length-1,len=7*w+1;if(w=digits[w]){for(;w%10==0;w/=10)len--;for(w=digits[0];w>=10;w/=10)len++}return len}function getZeroString(k){for(var zs="";k--;)zs+="0";return zs}function intPow(Ctor,x,n,pr){var isTruncated,r=new Ctor(1),k=Math.ceil(pr/7+4);for(external=!1;;){if(n%2&&truncate((r=r.times(x)).d,k)&&(isTruncated=!0),0===(n=mathfloor(n/2))){n=r.d.length-1,isTruncated&&0===r.d[n]&&++r.d[n];break}truncate((x=x.times(x)).d,k)}return external=!0,r}function isOdd(n){return 1&n.d[n.d.length-1]}function maxOrMin(Ctor,args,ltgt){for(var y,x=new Ctor(args[0]),i=0;++i<args.length;){if(!(y=new Ctor(args[i])).s){x=y;break}x[ltgt](y)&&(x=y)}return x}function naturalExponential(x,sd){var denominator,guard,j,pow,sum,t,wpr,rep=0,i=0,k=0,Ctor=x.constructor,rm=Ctor.rounding,pr=Ctor.precision;if(!x.d||!x.d[0]||x.e>17)return new Ctor(x.d?x.d[0]?x.s<0?0:1/0:1:x.s?x.s<0?0:x:NaN);for(null==sd?(external=!1,wpr=pr):wpr=sd,t=new Ctor(.03125);x.e>-2;)x=x.times(t),k+=5;for(wpr+=guard=Math.log(mathpow(2,k))/Math.LN10*2+5|0,denominator=pow=sum=new Ctor(1),Ctor.precision=wpr;;){if(pow=finalise(pow.times(x),wpr,1),denominator=denominator.times(++i),digitsToString((t=sum.plus(divide(pow,denominator,wpr,1))).d).slice(0,wpr)===digitsToString(sum.d).slice(0,wpr)){for(j=k;j--;)sum=finalise(sum.times(sum),wpr,1);if(null!=sd)return Ctor.precision=pr,sum;if(!(rep<3&&checkRoundingDigits(sum.d,wpr-guard,rm,rep)))return finalise(sum,Ctor.precision=pr,rm,external=!0);Ctor.precision=wpr+=10,denominator=pow=t=new Ctor(1),i=0,rep++}sum=t}}function naturalLogarithm(y,sd){var c,c0,denominator,e,numerator,rep,sum,t,wpr,x1,x2,n=1,x=y,xd=x.d,Ctor=x.constructor,rm=Ctor.rounding,pr=Ctor.precision;if(x.s<0||!xd||!xd[0]||!x.e&&1==xd[0]&&1==xd.length)return new Ctor(xd&&!xd[0]?-1/0:1!=x.s?NaN:xd?0:x);if(null==sd?(external=!1,wpr=pr):wpr=sd,Ctor.precision=wpr+=10,c0=(c=digitsToString(xd)).charAt(0),!(Math.abs(e=x.e)<15e14))return t=getLn10(Ctor,wpr+2,pr).times(e+""),x=naturalLogarithm(new Ctor(c0+"."+c.slice(1)),wpr-10).plus(t),Ctor.precision=pr,null==sd?finalise(x,pr,rm,external=!0):x;for(;c0<7&&1!=c0||1==c0&&c.charAt(1)>3;)c0=(c=digitsToString((x=x.times(y)).d)).charAt(0),n++;for(e=x.e,c0>1?(x=new Ctor("0."+c),e++):x=new Ctor(c0+"."+c.slice(1)),x1=x,sum=numerator=x=divide(x.minus(1),x.plus(1),wpr,1),x2=finalise(x.times(x),wpr,1),denominator=3;;){if(numerator=finalise(numerator.times(x2),wpr,1),digitsToString((t=sum.plus(divide(numerator,new Ctor(denominator),wpr,1))).d).slice(0,wpr)===digitsToString(sum.d).slice(0,wpr)){if(sum=sum.times(2),0!==e&&(sum=sum.plus(getLn10(Ctor,wpr+2,pr).times(e+""))),sum=divide(sum,new Ctor(n),wpr,1),null!=sd)return Ctor.precision=pr,sum;if(!checkRoundingDigits(sum.d,wpr-10,rm,rep))return finalise(sum,Ctor.precision=pr,rm,external=!0);Ctor.precision=wpr+=10,t=numerator=x=divide(x1.minus(1),x1.plus(1),wpr,1),x2=finalise(x.times(x),wpr,1),denominator=rep=1}sum=t,denominator+=2}}function nonFiniteToString(x){return String(x.s*x.s/0)}function parseDecimal(x,str){var e,i,len;for((e=str.indexOf("."))>-1&&(str=str.replace(".","")),(i=str.search(/e/i))>0?(e<0&&(e=i),e+=+str.slice(i+1),str=str.substring(0,i)):e<0&&(e=str.length),i=0;48===str.charCodeAt(i);i++);for(len=str.length;48===str.charCodeAt(len-1);--len);if(str=str.slice(i,len)){if(len-=i,x.e=e=e-i-1,x.d=[],i=(e+1)%7,e<0&&(i+=7),i<len){for(i&&x.d.push(+str.slice(0,i)),len-=7;i<len;)x.d.push(+str.slice(i,i+=7));i=7-(str=str.slice(i)).length}else i-=len;for(;i--;)str+="0";x.d.push(+str),external&&(x.e>x.constructor.maxE?(x.d=null,x.e=NaN):x.e<x.constructor.minE&&(x.e=0,x.d=[0]))}else x.e=0,x.d=[0];return x}function parseOther(x,str){var base,Ctor,divisor,i,isFloat,len,p,xd,xe;if(str.indexOf("_")>-1){if(str=str.replace(/(\d)_(?=\d)/g,"$1"),isDecimal.test(str))return parseDecimal(x,str)}else if("Infinity"===str||"NaN"===str)return+str||(x.s=NaN),x.e=NaN,x.d=null,x;if(isHex.test(str))base=16,str=str.toLowerCase();else if(isBinary.test(str))base=2;else{if(!isOctal.test(str))throw Error(invalidArgument+str);base=8}for((i=str.search(/p/i))>0?(p=+str.slice(i+1),str=str.substring(2,i)):str=str.slice(2),isFloat=(i=str.indexOf("."))>=0,Ctor=x.constructor,isFloat&&(i=(len=(str=str.replace(".","")).length)-i,divisor=intPow(Ctor,new Ctor(base),i,2*i)),i=xe=(xd=convertBase(str,base,BASE)).length-1;0===xd[i];--i)xd.pop();return i<0?new Ctor(0*x.s):(x.e=getBase10Exponent(xd,xe),x.d=xd,external=!1,isFloat&&(x=divide(x,divisor,4*len)),p&&(x=x.times(Math.abs(p)<54?mathpow(2,p):Decimal.pow(2,p))),external=!0,x)}function taylorSeries(Ctor,n,x,y,isHyperbolic){var j,t,u,x2,pr=Ctor.precision,k=Math.ceil(pr/7);for(external=!1,x2=x.times(x),u=new Ctor(y);;){if(t=divide(u.times(x2),new Ctor(n++*n++),pr,1),u=isHyperbolic?y.plus(t):y.minus(t),y=divide(t.times(x2),new Ctor(n++*n++),pr,1),void 0!==(t=u.plus(y)).d[k]){for(j=k;t.d[j]===u.d[j]&&j--;);if(-1==j)break}j=u,u=y,y=t,t=j}return external=!0,t.d.length=k+1,t}function tinyPow(b,e){for(var n=b;--e;)n*=b;return n}function toLessThanHalfPi(Ctor,x){var t,isNeg=x.s<0,pi=getPi(Ctor,Ctor.precision,1),halfPi=pi.times(.5);if((x=x.abs()).lte(halfPi))return quadrant=isNeg?4:1,x;if((t=x.divToInt(pi)).isZero())quadrant=isNeg?3:2;else{if((x=x.minus(t.times(pi))).lte(halfPi))return quadrant=isOdd(t)?isNeg?2:3:isNeg?4:1,x;quadrant=isOdd(t)?isNeg?1:4:isNeg?3:2}return x.minus(pi).abs()}function toStringBinary(x,baseOut,sd,rm){var base,e,i,k,len,roundUp,str,xd,y,Ctor=x.constructor,isExp=void 0!==sd;if(isExp?(checkInt32(sd,1,1e9),void 0===rm?rm=Ctor.rounding:checkInt32(rm,0,8)):(sd=Ctor.precision,rm=Ctor.rounding),x.isFinite()){for(isExp?(base=2,16==baseOut?sd=4*sd-3:8==baseOut&&(sd=3*sd-2)):base=baseOut,(i=(str=finiteToString(x)).indexOf("."))>=0&&(str=str.replace(".",""),(y=new Ctor(1)).e=str.length-i,y.d=convertBase(finiteToString(y),10,base),y.e=y.d.length),e=len=(xd=convertBase(str,10,base)).length;0==xd[--len];)xd.pop();if(xd[0]){if(i<0?e--:((x=new Ctor(x)).d=xd,x.e=e,xd=(x=divide(x,y,sd,rm,0,base)).d,e=x.e,roundUp=inexact),i=xd[sd],k=base/2,roundUp=roundUp||void 0!==xd[sd+1],roundUp=rm<4?(void 0!==i||roundUp)&&(0===rm||rm===(x.s<0?3:2)):i>k||i===k&&(4===rm||roundUp||6===rm&&1&xd[sd-1]||rm===(x.s<0?8:7)),xd.length=sd,roundUp)for(;++xd[--sd]>base-1;)xd[sd]=0,sd||(++e,xd.unshift(1));for(len=xd.length;!xd[len-1];--len);for(i=0,str="";i<len;i++)str+=NUMERALS.charAt(xd[i]);if(isExp){if(len>1)if(16==baseOut||8==baseOut){for(i=16==baseOut?4:3,--len;len%i;len++)str+="0";for(len=(xd=convertBase(str,base,baseOut)).length;!xd[len-1];--len);for(i=1,str="1.";i<len;i++)str+=NUMERALS.charAt(xd[i])}else str=str.charAt(0)+"."+str.slice(1);str=str+(e<0?"p":"p+")+e}else if(e<0){for(;++e;)str="0"+str;str="0."+str}else if(++e>len)for(e-=len;e--;)str+="0";else e<len&&(str=str.slice(0,e)+"."+str.slice(e))}else str=isExp?"0p+0":"0";str=(16==baseOut?"0x":2==baseOut?"0b":8==baseOut?"0o":"")+str}else str=nonFiniteToString(x);return x.s<0?"-"+str:str}function truncate(arr,len){if(arr.length>len)return arr.length=len,!0}function abs(x){return new this(x).abs()}function acos(x){return new this(x).acos()}function acosh(x){return new this(x).acosh()}function add(x,y){return new this(x).plus(y)}function asin(x){return new this(x).asin()}function asinh(x){return new this(x).asinh()}function atan(x){return new this(x).atan()}function atanh(x){return new this(x).atanh()}function atan2(y,x){y=new this(y),x=new this(x);var r,pr=this.precision,rm=this.rounding,wpr=pr+4;return y.s&&x.s?y.d||x.d?!x.d||y.isZero()?(r=x.s<0?getPi(this,pr,rm):new this(0)).s=y.s:!y.d||x.isZero()?(r=getPi(this,wpr,1).times(.5)).s=y.s:x.s<0?(this.precision=wpr,this.rounding=1,r=this.atan(divide(y,x,wpr,1)),x=getPi(this,wpr,1),this.precision=pr,this.rounding=rm,r=y.s<0?r.minus(x):r.plus(x)):r=this.atan(divide(y,x,wpr,1)):(r=getPi(this,wpr,1).times(x.s>0?.25:.75)).s=y.s:r=new this(NaN),r}function cbrt(x){return new this(x).cbrt()}function ceil(x){return finalise(x=new this(x),x.e+1,2)}function clamp(x,min,max){return new this(x).clamp(min,max)}function config(obj){if(!obj||"object"!=typeof obj)throw Error("[DecimalError] Object expected");var i,p,v,useDefaults=!0===obj.defaults,ps=["precision",1,1e9,"rounding",0,8,"toExpNeg",-EXP_LIMIT,0,"toExpPos",0,EXP_LIMIT,"maxE",0,EXP_LIMIT,"minE",-EXP_LIMIT,0,"modulo",0,9];for(i=0;i<ps.length;i+=3)if(p=ps[i],useDefaults&&(this[p]=DEFAULTS[p]),void 0!==(v=obj[p])){if(!(mathfloor(v)===v&&v>=ps[i+1]&&v<=ps[i+2]))throw Error(invalidArgument+p+": "+v);this[p]=v}if(p="crypto",useDefaults&&(this[p]=DEFAULTS[p]),void 0!==(v=obj[p])){if(!0!==v&&!1!==v&&0!==v&&1!==v)throw Error(invalidArgument+p+": "+v);if(v){if(void 0===crypto||!crypto||!crypto.getRandomValues&&!crypto.randomBytes)throw Error("[DecimalError] crypto unavailable");this[p]=!0}else this[p]=!1}return this}function cos(x){return new this(x).cos()}function cosh(x){return new this(x).cosh()}function div(x,y){return new this(x).div(y)}function exp(x){return new this(x).exp()}function floor(x){return finalise(x=new this(x),x.e+1,3)}function hypot(){var i,n,t=new this(0);for(external=!1,i=0;i<arguments.length;)if((n=new this(arguments[i++])).d)t.d&&(t=t.plus(n.times(n)));else{if(n.s)return external=!0,new this(1/0);t=n}return external=!0,t.sqrt()}function isDecimalInstance(obj){return obj instanceof Decimal||obj&&obj.toStringTag===tag||!1}function ln(x){return new this(x).ln()}function log(x,y){return new this(x).log(y)}function log2(x){return new this(x).log(2)}function log10(x){return new this(x).log(10)}function max(){return maxOrMin(this,arguments,"lt")}function min(){return maxOrMin(this,arguments,"gt")}function mod(x,y){return new this(x).mod(y)}function mul(x,y){return new this(x).mul(y)}function pow(x,y){return new this(x).pow(y)}function random(sd){var d,e,k,n,i=0,r=new this(1),rd=[];if(void 0===sd?sd=this.precision:checkInt32(sd,1,1e9),k=Math.ceil(sd/7),this.crypto)if(crypto.getRandomValues)for(d=crypto.getRandomValues(new Uint32Array(k));i<k;)(n=d[i])>=429e7?d[i]=crypto.getRandomValues(new Uint32Array(1))[0]:rd[i++]=n%1e7;else{if(!crypto.randomBytes)throw Error("[DecimalError] crypto unavailable");for(d=crypto.randomBytes(k*=4);i<k;)(n=d[i]+(d[i+1]<<8)+(d[i+2]<<16)+((127&d[i+3])<<24))>=214e7?crypto.randomBytes(4).copy(d,i):(rd.push(n%1e7),i+=4);i=k/4}else for(;i<k;)rd[i++]=1e7*Math.random()|0;for(sd%=7,(k=rd[--i])&&sd&&(n=mathpow(10,7-sd),rd[i]=(k/n|0)*n);0===rd[i];i--)rd.pop();if(i<0)e=0,rd=[0];else{for(e=-1;0===rd[0];e-=7)rd.shift();for(k=1,n=rd[0];n>=10;n/=10)k++;k<7&&(e-=7-k)}return r.e=e,r.d=rd,r}function round(x){return finalise(x=new this(x),x.e+1,this.rounding)}function sign(x){return(x=new this(x)).d?x.d[0]?x.s:0*x.s:x.s||NaN}function sin(x){return new this(x).sin()}function sinh(x){return new this(x).sinh()}function sqrt(x){return new this(x).sqrt()}function sub(x,y){return new this(x).sub(y)}function sum(){var i=0,args=arguments,x=new this(args[i]);for(external=!1;x.s&&++i<args.length;)x=x.plus(args[i]);return external=!0,finalise(x,this.precision,this.rounding)}function tan(x){return new this(x).tan()}function tanh(x){return new this(x).tanh()}function trunc(x){return finalise(x=new this(x),x.e+1,1)}Decimal=function clone(obj){var i,p,ps;function Decimal(v){var e,i,t,x=this;if(!(x instanceof Decimal))return new Decimal(v);if(x.constructor=Decimal,isDecimalInstance(v))return x.s=v.s,void(external?!v.d||v.e>Decimal.maxE?(x.e=NaN,x.d=null):v.e<Decimal.minE?(x.e=0,x.d=[0]):(x.e=v.e,x.d=v.d.slice()):(x.e=v.e,x.d=v.d?v.d.slice():v.d));if("number"===(t=typeof v)){if(0===v)return x.s=1/v<0?-1:1,x.e=0,void(x.d=[0]);if(v<0?(v=-v,x.s=-1):x.s=1,v===~~v&&v<1e7){for(e=0,i=v;i>=10;i/=10)e++;return void(external?e>Decimal.maxE?(x.e=NaN,x.d=null):e<Decimal.minE?(x.e=0,x.d=[0]):(x.e=e,x.d=[v]):(x.e=e,x.d=[v]))}return 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0===obj&&(obj={}),obj&&!0!==obj.defaults)for(ps=["precision","rounding","toExpNeg","toExpPos","maxE","minE","modulo","crypto"],i=0;i<ps.length;)obj.hasOwnProperty(p=ps[i++])||(obj[p]=this[p]);return Decimal.config(obj),Decimal}(DEFAULTS),Decimal.prototype.constructor=Decimal,Decimal.default=Decimal.Decimal=Decimal,LN10=new Decimal(LN10),PI=new Decimal(PI),"function"==typeof define&&define.amd?define(function(){return Decimal}):"undefined"!=typeof module&&module.exports?("function"==typeof Symbol&&"symbol"==typeof Symbol.iterator&&(P[Symbol.for("nodejs.util.inspect.custom")]=P.toString,P[Symbol.toStringTag]="Decimal"),module.exports=Decimal):(globalScope||(globalScope="undefined"!=typeof self&&self&&self.self==self?self:window),noConflict=globalScope.Decimal,Decimal.noConflict=function(){return globalScope.Decimal=noConflict,Decimal},globalScope.Decimal=Decimal)}(this);var VBacktest=(()=>{var _scriptName=typeof document<"u"?document.currentScript?.src:void 0;return async function(moduleArg={}){var moduleRtn,Module=moduleArg,ENVIRONMENT_IS_WEB="object"==typeof window,ENVIRONMENT_IS_WORKER=typeof WorkerGlobalScope<"u",ENVIRONMENT_IS_NODE="object"==typeof process&&process.versions?.node&&"renderer"!=process.type,Std={_skip:function(r,t){for(var i=0,n=0;i<r.length&&(isNaN(r[i])||n++,n!=t);i++);return i},_sum:function(r,t){for(var i=0,n=0;n<t;n++)isNaN(r[n])||(i+=r[n]);return i},_avg:function(r,t){for(var i=0,n=0,s=0;s<t;s++)isNaN(r[s])||(n+=r[s],i++);return n/i},_zeros:function(r){for(var t=[],i=0;i<r;i++)t.push(0);return t},_set:function(r,t,i,n){for(var s=Math.min(r.length,i),l=t;l<s;l++)r[l]=n},_diff:function(r,t){for(var i=[],n=0;n<t.length;n++)isNaN(r[n])||isNaN(t[n])?i.push(NaN):i.push(r[n]-t[n]);return i},_move_diff:function(r){for(var t=[],i=1;i<r.length;i++)t.push(r[i]-r[i-1]);return t},_sma:function(r,t){var i=Std._zeros(r.length),n=Std._skip(r,t);if(Std._set(i,0,n,NaN),n<r.length)for(var 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Date).toISOString();t.metadata[this.path]?(t.metadata[this.path].modified=m,t.metadata[this.path].size=this.content.byteLength):t.metadata[this.path]={created:m,modified:m,mode:this.mode,size:this.content.byteLength}}}close(){this.closed||(this._syncToVFS(),this.closed=!0)}puts(...m){this._checkClosed(),this._checkWritable();let x=0;for(const O of m){const W=l(String(O));x+=this.write(W)}return x}printf(m,...x){this._checkClosed(),this._checkWritable();let O=m,W=0;return O=O.replace(/%(?:\.(\d+))?([disfoxX])/g,(q,X,F)=>{if(W>=x.length)return q;const D=x[W++];switch(F){case"d":case"i":return Math.floor(Number(D)).toString();case"f":return X?Number(D).toFixed(parseInt(X)):Number(D).toString();case"s":return String(D);case"o":return Math.floor(Number(D)).toString(8);case"x":return Math.floor(Number(D)).toString(16);case"X":return Math.floor(Number(D)).toString(16).toUpperCase();default:return q}}),this.write(O)}flush(){this._checkClosed(),this._syncToVFS()}tell(){return 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file: no such file: ${v}`);return delete t.files[m],delete t.metadata[m],!0},mkdir(v){if("string"!=typeof v)throw new Error("directory name must be a string");return L(u(v)),!0},rmdir(v){if("string"!=typeof v)throw new Error("directory name must be a string");const m=u(v);if(!y(m))throw new Error(`failed to remove directory: not a directory: ${v}`);const x=[];for(const W in t.files)(W.startsWith(m+"/")||W===m)&&x.push(W);const O=[];for(const W of t.directories)(W.startsWith(m+"/")||W===m)&&O.push(W);for(const W of x)delete t.files[W],delete t.metadata[W];for(const W of O)t.directories.delete(W);return!0},rename(v,m){if("string"!=typeof v||"string"!=typeof m)throw new Error("both old and new filenames must be strings");const x=u(v),O=u(m);if(!(x in t.files)&&!y(x))throw new Error(`failed to rename: no such file or directory: ${v}`);if(x in t.files){const W=c(O);y(W)||L(W),t.files[O]=t.files[x],t.metadata[O]=t.metadata[x],delete t.files[x],delete t.metadata[x]}else if(y(x)){const 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out=console.log.bind(console),err=console.error.bind(console),wasmBinary,ABORT=!1,isFileURI=r=>r.startsWith("file://"),readyPromiseResolve,readyPromiseReject,wasmMemory,HEAP8,HEAPU8,HEAP16,HEAPU16,HEAP32,HEAPU32,HEAPF32,HEAPF64,HEAP64,HEAPU64,runtimeInitialized=!1,wasmBinaryFile;function updateMemoryViews(){var r=wasmMemory.buffer;HEAP8=new Int8Array(r),HEAP16=new Int16Array(r),Module.HEAPU8=HEAPU8=new Uint8Array(r),HEAPU16=new Uint16Array(r),HEAP32=new Int32Array(r),HEAPU32=new Uint32Array(r),HEAPF32=new Float32Array(r),HEAPF64=new Float64Array(r),HEAP64=new BigInt64Array(r),HEAPU64=new BigUint64Array(r)}function initMemory(){if(Module.wasmMemory)wasmMemory=Module.wasmMemory;else{var r=Module.INITIAL_MEMORY||134217728;wasmMemory=new WebAssembly.Memory({initial:r/65536,maximum:65536})}updateMemoryViews()}function preRun(){if(Module.preRun)for("function"==typeof 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Promise((n,s)=>{Module.instantiateWasm(t,(l,u)=>{n(r(l))})}):(wasmBinaryFile??=findWasmBinary(),r(instantiateSync(wasmBinaryFile,t)[0]))}class ExitStatus{name="ExitStatus";constructor(t){this.message=`Program terminated with exit(${t})`,this.status=t}}var callRuntimeCallbacks=r=>{for(;r.length>0;)r.shift()(Module)},onPostRuns=[],addOnPostRun=r=>onPostRuns.push(r),onPreRuns=[],addOnPreRun=r=>onPreRuns.push(r);function getValue(r,t="i8"){switch(t.endsWith("*")&&(t="*"),t){case"i1":case"i8":return HEAP8[r>>>0];case"i16":return HEAP16[r>>>1>>>0];case"i32":return HEAP32[r>>>2>>>0];case"i64":return HEAP64[r>>>3>>>0];case"float":return HEAPF32[r>>>2>>>0];case"double":return HEAPF64[r>>>3>>>0];case"*":return HEAPU32[r>>>2>>>0];default:abort(`invalid type for getValue: ${t}`)}}var noExitRuntime=!0;function setValue(r,t,i="i8"){switch(i.endsWith("*")&&(i="*"),i){case"i1":case"i8":HEAP8[r>>>0]=t;break;case"i16":HEAP16[r>>>1>>>0]=t;break;case"i32":HEAP32[r>>>2>>>0]=t;break;case"i64":HEAP64[r>>>3>>>0]=BigInt(t);break;case"float":HEAPF32[r>>>2>>>0]=t;break;case"double":HEAPF64[r>>>3>>>0]=t;break;case"*":HEAPU32[r>>>2>>>0]=t;break;default:abort(`invalid type for setValue: ${i}`)}}var stackRestore=r=>__emscripten_stack_restore(r),stackSave=()=>_emscripten_stack_get_current(),INT53_MAX=9007199254740992,INT53_MIN=-9007199254740992,bigintToI53Checked=r=>r<INT53_MIN||r>INT53_MAX?NaN:Number(r),UTF8Decoder=typeof TextDecoder<"u"?new TextDecoder:void 0,findStringEnd=(r,t,i,n)=>{var s=t+i;if(n)return s;for(;r[t]&&!(t>=s);)++t;return t},UTF8ArrayToString=(r,t=0,i,n)=>{var s=findStringEnd(r,t>>>=0,i,n);if(s-t>16&&r.buffer&&UTF8Decoder)return UTF8Decoder.decode(r.subarray(t,s));for(var l="";t<s;){var u=r[t++];if(128&u){var c=63&r[t++];if(192!=(224&u)){var 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0!=HEAP8[this.ptr+13>>>0]}init(t,i){this.set_adjusted_ptr(0),this.set_type(t),this.set_destructor(i)}set_adjusted_ptr(t){HEAPU32[this.ptr+16>>>2>>>0]=t}get_adjusted_ptr(){return HEAPU32[this.ptr+16>>>2>>>0]}}var exceptionLast=0,uncaughtExceptionCount=0;function ___cxa_throw(r,t,i){throw t>>>=0,i>>>=0,new ExceptionInfo(r>>>=0).init(t,i),uncaughtExceptionCount++,exceptionLast=r}var __abort_js=()=>abort(""),structRegistrations={},runDestructors=r=>{for(;r.length;){var t=r.pop();r.pop()(t)}};function readPointer(r){return this.fromWireType(HEAPU32[r>>>2>>>0])}var awaitingDependencies={},registeredTypes={},typeDependencies={},InternalError=class extends Error{constructor(t){super(t),this.name="InternalError"}},throwInternalError=r=>{throw new InternalError(r)},whenDependentTypesAreResolved=(r,t,i)=>{function n(c){var h=i(c);h.length!==r.length&&throwInternalError("Mismatched type converter count");for(var y=0;y<r.length;++y)registerType(r[y],h[y])}r.forEach(c=>typeDependencies[c]=t);var s=new Array(t.length),l=[],u=0;t.forEach((c,h)=>{registeredTypes.hasOwnProperty(c)?s[h]=registeredTypes[c]:(l.push(c),awaitingDependencies.hasOwnProperty(c)||(awaitingDependencies[c]=[]),awaitingDependencies[c].push(()=>{s[h]=registeredTypes[c],++u===l.length&&n(s)}))}),0===l.length&&n(s)},__embind_finalize_value_object=function(r){var t=structRegistrations[r>>>=0];delete structRegistrations[r];var i=t.rawConstructor,n=t.rawDestructor,s=t.fields,l=s.map(u=>u.getterReturnType).concat(s.map(u=>u.setterArgumentType));whenDependentTypesAreResolved([r],l,u=>{var c={};return s.forEach((h,y)=>{var g=h.fieldName,L=u[y],M=u[y].optional,v=h.getter,m=h.getterContext,x=u[y+s.length],O=h.setter,W=h.setterContext;c[g]={read:q=>L.fromWireType(v(m,q)),write:(q,X)=>{var F=[];O(W,q,x.toWireType(F,X)),runDestructors(F)},optional:M}}),[{name:t.name,fromWireType:h=>{var y={};for(var g in c)y[g]=c[g].read(h);return n(h),y},toWireType:(h,y)=>{for(var g in c)if(!(g in y)&&!c[g].optional)throw new TypeError(`Missing field: "${g}"`);var L=i();for(g in c)c[g].write(L,y[g]);return null!==h&&h.push(n,L),L},readValueFromPointer:readPointer,destructorFunction:n}]})},AsciiToString=r=>{r>>>=0;for(var t="";;){var i=HEAPU8[r++>>>0];if(!i)return t;t+=String.fromCharCode(i)}},BindingError=class extends Error{constructor(t){super(t),this.name="BindingError"}},throwBindingError=r=>{throw new BindingError(r)};function sharedRegisterType(r,t,i={}){var n=t.name;if(r||throwBindingError(`type "${n}" must have a positive integer typeid pointer`),registeredTypes.hasOwnProperty(r)){if(i.ignoreDuplicateRegistrations)return;throwBindingError(`Cannot register type '${n}' twice`)}if(registeredTypes[r]=t,delete typeDependencies[r],awaitingDependencies.hasOwnProperty(r)){var s=awaitingDependencies[r];delete awaitingDependencies[r],s.forEach(l=>l())}}function registerType(r,t,i={}){return sharedRegisterType(r,t,i)}var integerReadValueFromPointer=(r,t,i)=>{switch(t){case 1:return i?n=>HEAP8[n>>>0]:n=>HEAPU8[n>>>0];case 2:return i?n=>HEAP16[n>>>1>>>0]:n=>HEAPU16[n>>>1>>>0];case 4:return i?n=>HEAP32[n>>>2>>>0]:n=>HEAPU32[n>>>2>>>0];case 8:return i?n=>HEAP64[n>>>3>>>0]:n=>HEAPU64[n>>>3>>>0];default:throw new TypeError(`invalid integer width (${t}): ${r}`)}},__embind_register_bigint=function(r,t,i,n,s){r>>>=0,i>>>=0,t=AsciiToString(t>>>=0);const l=0n===n;let u=c=>c;if(l){const c=8*i;u=h=>BigInt.asUintN(c,h),s=u(s)}registerType(r,{name:t,fromWireType:u,toWireType:(c,h)=>("number"==typeof h&&(h=BigInt(h)),h),readValueFromPointer:integerReadValueFromPointer(t,i,!l),destructorFunction:null})};function __embind_register_bool(r,t,i,n){registerType(r>>>=0,{name:t=AsciiToString(t>>>=0),fromWireType:function(s){return!!s},toWireType:function(s,l){return l?i:n},readValueFromPointer:function(s){return this.fromWireType(HEAPU8[s>>>0])},destructorFunction:null})}var shallowCopyInternalPointer=r=>({count:r.count,deleteScheduled:r.deleteScheduled,preservePointerOnDelete:r.preservePointerOnDelete,ptr:r.ptr,ptrType:r.ptrType,smartPtr:r.smartPtr,smartPtrType:r.smartPtrType}),throwInstanceAlreadyDeleted=r=>{throwBindingError(r.$$.ptrType.registeredClass.name+" instance already deleted")},finalizationRegistry=!1,detachFinalizer=r=>{},runDestructor=r=>{r.smartPtr?r.smartPtrType.rawDestructor(r.smartPtr):r.ptrType.registeredClass.rawDestructor(r.ptr)},releaseClassHandle=r=>{r.count.value-=1,0===r.count.value&&runDestructor(r)},attachFinalizer=r=>typeof FinalizationRegistry>"u"?(attachFinalizer=t=>t,r):(finalizationRegistry=new FinalizationRegistry(t=>{releaseClassHandle(t.$$)}),detachFinalizer=t=>finalizationRegistry.unregister(t),(attachFinalizer=t=>{var i=t.$$;if(!!i.smartPtr){var s={$$:i};finalizationRegistry.register(t,s,t)}return t})(r)),deletionQueue=[],flushPendingDeletes=()=>{for(;deletionQueue.length;){var r=deletionQueue.pop();r.$$.deleteScheduled=!1,r.delete()}},delayFunction,init_ClassHandle=()=>{let r=ClassHandle.prototype;Object.assign(r,{isAliasOf(i){if(!(this instanceof ClassHandle&&i instanceof ClassHandle))return!1;var n=this.$$.ptrType.registeredClass,s=this.$$.ptr;i.$$=i.$$;for(var l=i.$$.ptrType.registeredClass,u=i.$$.ptr;n.baseClass;)s=n.upcast(s),n=n.baseClass;for(;l.baseClass;)u=l.upcast(u),l=l.baseClass;return n===l&&s===u},clone(){if(this.$$.ptr||throwInstanceAlreadyDeleted(this),this.$$.preservePointerOnDelete)return this.$$.count.value+=1,this;var i=attachFinalizer(Object.create(Object.getPrototypeOf(this),{$$:{value:shallowCopyInternalPointer(this.$$)}}));return i.$$.count.value+=1,i.$$.deleteScheduled=!1,i},delete(){this.$$.ptr||throwInstanceAlreadyDeleted(this),this.$$.deleteScheduled&&!this.$$.preservePointerOnDelete&&throwBindingError("Object already scheduled for deletion"),detachFinalizer(this),releaseClassHandle(this.$$),this.$$.preservePointerOnDelete||(this.$$.smartPtr=void 0,this.$$.ptr=void 0)},isDeleted(){return!this.$$.ptr},deleteLater(){return this.$$.ptr||throwInstanceAlreadyDeleted(this),this.$$.deleteScheduled&&!this.$$.preservePointerOnDelete&&throwBindingError("Object already scheduled for deletion"),deletionQueue.push(this),1===deletionQueue.length&&delayFunction&&delayFunction(flushPendingDeletes),this.$$.deleteScheduled=!0,this}});const t=Symbol.dispose;t&&(r[t]=r.delete)};function ClassHandle(){}var createNamedFunction=(r,t)=>Object.defineProperty(t,"name",{value:r}),registeredPointers={},ensureOverloadTable=(r,t,i)=>{if(void 0===r[t].overloadTable){var n=r[t];r[t]=function(...s){return r[t].overloadTable.hasOwnProperty(s.length)||throwBindingError(`Function '${i}' called with an invalid number of arguments (${s.length}) - expects one of (${r[t].overloadTable})!`),r[t].overloadTable[s.length].apply(this,s)},r[t].overloadTable=[],r[t].overloadTable[n.argCount]=n}},exposePublicSymbol=(r,t,i)=>{Module.hasOwnProperty(r)?((void 0===i||void 0!==Module[r].overloadTable&&void 0!==Module[r].overloadTable[i])&&throwBindingError(`Cannot register public name '${r}' twice`),ensureOverloadTable(Module,r,r),Module[r].overloadTable.hasOwnProperty(i)&&throwBindingError(`Cannot register multiple overloads of a function with the same number of arguments (${i})!`),Module[r].overloadTable[i]=t):(Module[r]=t,Module[r].argCount=i)},char_0=48,char_9=57,makeLegalFunctionName=r=>{var t=(r=r.replace(/[^a-zA-Z0-9_]/g,"$")).charCodeAt(0);return t>=char_0&&t<=char_9?`_${r}`:r};function RegisteredClass(r,t,i,n,s,l,u,c){this.name=r,this.constructor=t,this.instancePrototype=i,this.rawDestructor=n,this.baseClass=s,this.getActualType=l,this.upcast=u,this.downcast=c,this.pureVirtualFunctions=[]}var upcastPointer=(r,t,i)=>{for(;t!==i;)t.upcast||throwBindingError(`Expected null or instance of ${i.name}, got an instance of ${t.name}`),r=t.upcast(r),t=t.baseClass;return r},embindRepr=r=>{if(null===r)return"null";var t=typeof r;return"object"===t||"array"===t||"function"===t?r.toString():""+r};function constNoSmartPtrRawPointerToWireType(r,t){if(null===t)return this.isReference&&throwBindingError(`null is not a valid ${this.name}`),0;t.$$||throwBindingError(`Cannot pass "${embindRepr(t)}" as a ${this.name}`),t.$$.ptr||throwBindingError(`Cannot pass deleted object as a pointer of type ${this.name}`);var i=t.$$.ptrType.registeredClass;return upcastPointer(t.$$.ptr,i,this.registeredClass)}function genericPointerToWireType(r,t){var i;if(null===t)return this.isReference&&throwBindingError(`null is not a valid ${this.name}`),this.isSmartPointer?(i=this.rawConstructor(),null!==r&&r.push(this.rawDestructor,i),i):0;(!t||!t.$$)&&throwBindingError(`Cannot pass "${embindRepr(t)}" as a ${this.name}`),t.$$.ptr||throwBindingError(`Cannot pass deleted object as a pointer of type ${this.name}`),!this.isConst&&t.$$.ptrType.isConst&&throwBindingError(`Cannot convert argument of type ${t.$$.smartPtrType?t.$$.smartPtrType.name:t.$$.ptrType.name} to parameter type ${this.name}`);var n=t.$$.ptrType.registeredClass;if(i=upcastPointer(t.$$.ptr,n,this.registeredClass),this.isSmartPointer)switch(void 0===t.$$.smartPtr&&throwBindingError("Passing raw pointer to smart pointer is illegal"),this.sharingPolicy){case 0:t.$$.smartPtrType===this?i=t.$$.smartPtr:throwBindingError(`Cannot convert argument of type ${t.$$.smartPtrType?t.$$.smartPtrType.name:t.$$.ptrType.name} to parameter type ${this.name}`);break;case 1:i=t.$$.smartPtr;break;case 2:if(t.$$.smartPtrType===this)i=t.$$.smartPtr;else{var s=t.clone();i=this.rawShare(i,Emval.toHandle(()=>s.delete())),null!==r&&r.push(this.rawDestructor,i)}break;default:throwBindingError("Unsupporting sharing policy")}return i}function nonConstNoSmartPtrRawPointerToWireType(r,t){if(null===t)return this.isReference&&throwBindingError(`null is not a valid ${this.name}`),0;t.$$||throwBindingError(`Cannot pass "${embindRepr(t)}" as a ${this.name}`),t.$$.ptr||throwBindingError(`Cannot pass deleted object as a pointer of type ${this.name}`),t.$$.ptrType.isConst&&throwBindingError(`Cannot convert argument of type ${t.$$.ptrType.name} to parameter type ${this.name}`);var i=t.$$.ptrType.registeredClass;return upcastPointer(t.$$.ptr,i,this.registeredClass)}var downcastPointer=(r,t,i)=>{if(t===i)return r;if(void 0===i.baseClass)return null;var n=downcastPointer(r,t,i.baseClass);return null===n?null:i.downcast(n)},registeredInstances={},getBasestPointer=(r,t)=>{for(void 0===t&&throwBindingError("ptr should not be undefined");r.baseClass;)t=r.upcast(t),r=r.baseClass;return t},getInheritedInstance=(r,t)=>(t=getBasestPointer(r,t),registeredInstances[t]),makeClassHandle=(r,t)=>((!t.ptrType||!t.ptr)&&throwInternalError("makeClassHandle requires ptr and ptrType"),!!t.smartPtrType!==!!t.smartPtr&&throwInternalError("Both smartPtrType and smartPtr must be specified"),t.count={value:1},attachFinalizer(Object.create(r,{$$:{value:t,writable:!0}})));function RegisteredPointer_fromWireType(r){var t=this.getPointee(r);if(!t)return this.destructor(r),null;var i=getInheritedInstance(this.registeredClass,t);if(void 0!==i){if(0===i.$$.count.value)return i.$$.ptr=t,i.$$.smartPtr=r,i.clone();var n=i.clone();return this.destructor(r),n}function s(){return this.isSmartPointer?makeClassHandle(this.registeredClass.instancePrototype,{ptrType:this.pointeeType,ptr:t,smartPtrType:this,smartPtr:r}):makeClassHandle(this.registeredClass.instancePrototype,{ptrType:this,ptr:r})}var c,l=this.registeredClass.getActualType(t),u=registeredPointers[l];if(!u)return s.call(this);c=this.isConst?u.constPointerType:u.pointerType;var h=downcastPointer(t,this.registeredClass,c.registeredClass);return null===h?s.call(this):this.isSmartPointer?makeClassHandle(c.registeredClass.instancePrototype,{ptrType:c,ptr:h,smartPtrType:this,smartPtr:r}):makeClassHandle(c.registeredClass.instancePrototype,{ptrType:c,ptr:h})}var init_RegisteredPointer=()=>{Object.assign(RegisteredPointer.prototype,{getPointee(r){return this.rawGetPointee&&(r=this.rawGetPointee(r)),r},destructor(r){this.rawDestructor?.(r)},readValueFromPointer:readPointer,fromWireType:RegisteredPointer_fromWireType})};function RegisteredPointer(r,t,i,n,s,l,u,c,h,y,g){this.name=r,this.registeredClass=t,this.isReference=i,this.isConst=n,this.isSmartPointer=s,this.pointeeType=l,this.sharingPolicy=u,this.rawGetPointee=c,this.rawConstructor=h,this.rawShare=y,this.rawDestructor=g,s||void 0!==t.baseClass?this.toWireType=genericPointerToWireType:n?(this.toWireType=constNoSmartPtrRawPointerToWireType,this.destructorFunction=null):(this.toWireType=nonConstNoSmartPtrRawPointerToWireType,this.destructorFunction=null)}var replacePublicSymbol=(r,t,i)=>{Module.hasOwnProperty(r)||throwInternalError("Replacing nonexistent public symbol"),void 0!==Module[r].overloadTable&&void 0!==i?Module[r].overloadTable[i]=t:(Module[r]=t,Module[r].argCount=i)},wasmTableMirror=[],wasmTable,getWasmTableEntry=r=>{var t=wasmTableMirror[r];return t||(wasmTableMirror[r]=t=wasmTable.get(r)),t},dynCall=(r,t,i=[],n=!1)=>{var c,l=getWasmTableEntry(t)(...i);return c=l,"p"==r[0]?c>>>0:c},getDynCaller=(r,t,i=!1)=>(...n)=>dynCall(r,t,n,i),embind__requireFunction=(r,t,i=!1)=>{var s=(r=AsciiToString(r)).includes("p")?getDynCaller(r,t,i):getWasmTableEntry(t);return"function"!=typeof s&&throwBindingError(`unknown function pointer with signature ${r}: ${t}`),s};class UnboundTypeError extends Error{}var getTypeName=r=>{var t=___getTypeName(r),i=AsciiToString(t);return _free(t),i},throwUnboundTypeError=(r,t)=>{var i=[],n={};throw t.forEach(function s(l){if(!n[l]&&!registeredTypes[l]){if(typeDependencies[l])return void typeDependencies[l].forEach(s);i.push(l),n[l]=!0}}),new UnboundTypeError(`${r}: `+i.map(getTypeName).join([", "]))};function __embind_register_class(r,t,i,n,s,l,u,c,h,y,g,L,M){r>>>=0,t>>>=0,i>>>=0,n>>>=0,s>>>=0,l>>>=0,u>>>=0,c>>>=0,h>>>=0,y>>>=0,L>>>=0,M>>>=0,g=AsciiToString(g>>>=0),l=embind__requireFunction(s,l),c&&=embind__requireFunction(u,c),y&&=embind__requireFunction(h,y),M=embind__requireFunction(L,M);var v=makeLegalFunctionName(g);exposePublicSymbol(v,function(){throwUnboundTypeError(`Cannot construct ${g} due to unbound types`,[n])}),whenDependentTypesAreResolved([r,t,i],n?[n]:[],m=>{var x,O;m=m[0],n?O=(x=m.registeredClass).instancePrototype:O=ClassHandle.prototype;var W=createNamedFunction(g,function(...f){if(Object.getPrototypeOf(this)!==q)throw new BindingError(`Use 'new' to construct ${g}`);if(void 0===X.constructor_body)throw new BindingError(`${g} has no accessible constructor`);var R=X.constructor_body[f.length];if(void 0===R)throw new BindingError(`Tried to invoke ctor of ${g} with invalid number of parameters (${f.length}) - expected (${Object.keys(X.constructor_body).toString()}) parameters instead!`);return R.apply(this,f)}),q=Object.create(O,{constructor:{value:W}});W.prototype=q;var X=new RegisteredClass(g,W,q,M,x,l,c,y);X.baseClass&&(X.baseClass.__derivedClasses??=[],X.baseClass.__derivedClasses.push(X));var F=new RegisteredPointer(g,X,!0,!1,!1),D=new RegisteredPointer(g+"*",X,!1,!1,!1),p=new RegisteredPointer(g+" const*",X,!1,!0,!1);return registeredPointers[r]={pointerType:D,constPointerType:p},replacePublicSymbol(v,W),[F,D,p]})}var heap32VectorToArray=(r,t)=>{for(var i=[],n=0;n<r;n++)i.push(HEAPU32[t+4*n>>>2>>>0]);return i};function usesDestructorStack(r){for(var t=1;t<r.length;++t)if(null!==r[t]&&void 0===r[t].destructorFunction)return!0;return!1}function createJsInvoker(r,t,i,n){var s=usesDestructorStack(r),l=r.length-2,u=[],c=["fn"];t&&c.push("thisWired");for(var h=0;h<l;++h)u.push(`arg${h}`),c.push(`arg${h}Wired`);u=u.join(","),c=c.join(",");var y=`return function (${u}) {\n`;s&&(y+="var destructors = [];\n");var g=s?"destructors":"null",L=["humanName","throwBindingError","invoker","fn","runDestructors","fromRetWire","toClassParamWire"];t&&(y+=`var thisWired = toClassParamWire(${g}, this);\n`);for(h=0;h<l;++h){var M=`toArg${h}Wire`;y+=`var arg${h}Wired = ${M}(${g}, arg${h});\n`,L.push(M)}if(y+=(i||n?"var rv = ":"")+`invoker(${c});\n`,s)y+="runDestructors(destructors);\n";else for(h=t?1:2;h<r.length;++h){var v=1===h?"thisWired":"arg"+(h-2)+"Wired";null!==r[h].destructorFunction&&(y+=`${v}_dtor(${v});\n`,L.push(`${v}_dtor`))}return i&&(y+="var ret = fromRetWire(rv);\nreturn ret;\n"),y+="}\n",new Function(L,y)}function craftInvokerFunction(r,t,i,n,s,l){var u=t.length;u<2&&throwBindingError("argTypes array size mismatch! Must at least get return value and 'this' types!");for(var c=null!==t[1]&&null!==i,h=usesDestructorStack(t),y=!t[0].isVoid,g=t[0],L=t[1],M=[r,throwBindingError,n,s,runDestructors,g.fromWireType.bind(g),L?.toWireType.bind(L)],v=2;v<u;++v){var m=t[v];M.push(m.toWireType.bind(m))}if(!h)for(v=c?1:2;v<t.length;++v)null!==t[v].destructorFunction&&M.push(t[v].destructorFunction);var O=createJsInvoker(t,c,y,l)(...M);return createNamedFunction(r,O)}var __embind_register_class_constructor=function(r,t,i,n,s,l){r>>>=0,n>>>=0,s>>>=0,l>>>=0;var u=heap32VectorToArray(t,i>>>=0);s=embind__requireFunction(n,s),whenDependentTypesAreResolved([],[r],c=>{var h=`constructor ${(c=c[0]).name}`;if(void 0===c.registeredClass.constructor_body&&(c.registeredClass.constructor_body=[]),void 0!==c.registeredClass.constructor_body[t-1])throw new BindingError(`Cannot register multiple constructors with identical number of parameters (${t-1}) for class '${c.name}'! Overload resolution is currently only performed using the parameter count, not actual type info!`);return c.registeredClass.constructor_body[t-1]=()=>{throwUnboundTypeError(`Cannot construct ${c.name} due to unbound types`,u)},whenDependentTypesAreResolved([],u,y=>(y.splice(1,0,null),c.registeredClass.constructor_body[t-1]=craftInvokerFunction(h,y,null,s,l),[])),[]})},getFunctionName=r=>{const t=(r=r.trim()).indexOf("(");return-1===t?r:r.slice(0,t)},__embind_register_class_function=function(r,t,i,n,s,l,u,c,h,y){r>>>=0,t>>>=0,s>>>=0,l>>>=0,u>>>=0;var g=heap32VectorToArray(i,n>>>=0);t=AsciiToString(t),t=getFunctionName(t),l=embind__requireFunction(s,l,h),whenDependentTypesAreResolved([],[r],L=>{var M=`${(L=L[0]).name}.${t}`;function v(){throwUnboundTypeError(`Cannot call ${M} due to unbound types`,g)}t.startsWith("@@")&&(t=Symbol[t.substring(2)]),c&&L.registeredClass.pureVirtualFunctions.push(t);var m=L.registeredClass.instancePrototype,x=m[t];return void 0===x||void 0===x.overloadTable&&x.className!==L.name&&x.argCount===i-2?(v.argCount=i-2,v.className=L.name,m[t]=v):(ensureOverloadTable(m,t,M),m[t].overloadTable[i-2]=v),whenDependentTypesAreResolved([],g,O=>{var W=craftInvokerFunction(M,O,L,l,u,h);return void 0===m[t].overloadTable?(W.argCount=i-2,m[t]=W):m[t].overloadTable[i-2]=W,[]}),[]})},emval_freelist=[],emval_handles=[0,1,,1,null,1,!0,1,!1,1];function __emval_decref(r){(r>>>=0)>9&&0===--emval_handles[r+1]&&(emval_handles[r]=void 0,emval_freelist.push(r))}var Emval={toValue:r=>(r||throwBindingError(`Cannot use deleted val. handle = ${r}`),emval_handles[r]),toHandle:r=>{switch(r){case void 0:return 2;case null:return 4;case!0:return 6;case!1:return 8;default:{const t=emval_freelist.pop()||emval_handles.length;return emval_handles[t]=r,emval_handles[t+1]=1,t}}}},EmValType={name:"emscripten::val",fromWireType:r=>{var t=Emval.toValue(r);return __emval_decref(r),t},toWireType:(r,t)=>Emval.toHandle(t),readValueFromPointer:readPointer,destructorFunction:null};function __embind_register_emval(r){return registerType(r>>>=0,EmValType)}var floatReadValueFromPointer=(r,t)=>{switch(t){case 4:return function(i){return this.fromWireType(HEAPF32[i>>>2>>>0])};case 8:return function(i){return this.fromWireType(HEAPF64[i>>>3>>>0])};default:throw new TypeError(`invalid float width (${t}): ${r}`)}},__embind_register_float=function(r,t,i){i>>>=0,registerType(r>>>=0,{name:t=AsciiToString(t>>>=0),fromWireType:n=>n,toWireType:(n,s)=>s,readValueFromPointer:floatReadValueFromPointer(t,i),destructorFunction:null})};function __embind_register_function(r,t,i,n,s,l,u,c){r>>>=0,n>>>=0,s>>>=0,l>>>=0;var h=heap32VectorToArray(t,i>>>=0);r=AsciiToString(r),r=getFunctionName(r),s=embind__requireFunction(n,s,u),exposePublicSymbol(r,function(){throwUnboundTypeError(`Cannot call ${r} due to unbound types`,h)},t-1),whenDependentTypesAreResolved([],h,y=>{var g=[y[0],null].concat(y.slice(1));return replacePublicSymbol(r,craftInvokerFunction(r,g,null,s,l,u),t-1),[]})}var __embind_register_integer=function(r,t,i,n,s){r>>>=0,i>>>=0,t=AsciiToString(t>>>=0);let u=h=>h;if(0===n){var c=32-8*i;u=h=>h<<c>>>c,s=u(s)}registerType(r,{name:t,fromWireType:u,toWireType:(h,y)=>y,readValueFromPointer:integerReadValueFromPointer(t,i,0!==n),destructorFunction:null})};function __embind_register_memory_view(r,t,i){i>>>=0;var s=[Int8Array,Uint8Array,Int16Array,Uint16Array,Int32Array,Uint32Array,Float32Array,Float64Array,BigInt64Array,BigUint64Array][t];function l(u){var c=HEAPU32[u>>>2>>>0],h=HEAPU32[u+4>>>2>>>0];return new s(HEAP8.buffer,h,c)}registerType(r>>>=0,{name:i=AsciiToString(i),fromWireType:l,readValueFromPointer:l},{ignoreDuplicateRegistrations:!0})}var stringToUTF8Array=(r,t,i,n)=>{if(!(n>0))return 0;for(var s=i>>>=0,l=i+n-1,u=0;u<r.length;++u){var c=r.codePointAt(u);if(c<=127){if(i>=l)break;t[i++>>>0]=c}else if(c<=2047){if(i+1>=l)break;t[i++>>>0]=192|c>>6,t[i++>>>0]=128|63&c}else if(c<=65535){if(i+2>=l)break;t[i++>>>0]=224|c>>12,t[i++>>>0]=128|c>>6&63,t[i++>>>0]=128|63&c}else{if(i+3>=l)break;t[i++>>>0]=240|c>>18,t[i++>>>0]=128|c>>12&63,t[i++>>>0]=128|c>>6&63,t[i++>>>0]=128|63&c,u++}}return t[i>>>0]=0,i-s},stringToUTF8=(r,t,i)=>stringToUTF8Array(r,HEAPU8,t,i),lengthBytesUTF8=r=>{for(var t=0,i=0;i<r.length;++i){var n=r.charCodeAt(i);n<=127?t++:n<=2047?t+=2:n>=55296&&n<=57343?(t+=4,++i):t+=3}return t};function __embind_register_std_string(r,t){r>>>=0,t=AsciiToString(t>>>=0);registerType(r,{name:t,fromWireType(n){var u,s=HEAPU32[n>>>2>>>0],l=n+4;return u=UTF8ToString(l,s,!0),_free(n),u},toWireType(n,s){s instanceof ArrayBuffer&&(s=new Uint8Array(s));var l,u="string"==typeof s;u||ArrayBuffer.isView(s)&&1==s.BYTES_PER_ELEMENT||throwBindingError("Cannot pass non-string to std::string"),l=u?lengthBytesUTF8(s):s.length;var c=_malloc(4+l+1),h=c+4;(HEAPU32[c>>>2>>>0]=l,u)?stringToUTF8(s,h,l+1):HEAPU8.set(s,h>>>0);return null!==n&&n.push(_free,c),c},readValueFromPointer:readPointer,destructorFunction(n){_free(n)}})}var UTF16Decoder=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0,UTF16ToString=(r,t,i)=>{var n=r>>>1,s=findStringEnd(HEAPU16,n,t/2,i);if(s-n>16&&UTF16Decoder)return UTF16Decoder.decode(HEAPU16.subarray(n>>>0,s>>>0));for(var l="",u=n;u<s;++u){var c=HEAPU16[u>>>0];l+=String.fromCharCode(c)}return l},stringToUTF16=(r,t,i)=>{if(i??=2147483647,i<2)return 0;for(var n=t,s=(i-=2)<2*r.length?i/2:r.length,l=0;l<s;++l){var u=r.charCodeAt(l);HEAP16[t>>>1>>>0]=u,t+=2}return HEAP16[t>>>1>>>0]=0,t-n},lengthBytesUTF16=r=>2*r.length,UTF32ToString=(r,t,i)=>{for(var n="",s=r>>>2,l=0;!(l>=t/4);l++){var u=HEAPU32[s+l>>>0];if(!u&&!i)break;n+=String.fromCodePoint(u)}return n},stringToUTF32=(r,t,i)=>{if(t>>>=0,i??=2147483647,i<4)return 0;for(var n=t,s=n+i-4,l=0;l<r.length;++l){var u=r.codePointAt(l);if(u>65535&&l++,HEAP32[t>>>2>>>0]=u,(t+=4)+4>s)break}return HEAP32[t>>>2>>>0]=0,t-n},lengthBytesUTF32=r=>{for(var t=0,i=0;i<r.length;++i){r.codePointAt(i)>65535&&i++,t+=4}return t};function __embind_register_std_wstring(r,t,i){var n,s,l;r>>>=0,t>>>=0,i=AsciiToString(i>>>=0),2===t?(n=UTF16ToString,s=stringToUTF16,l=lengthBytesUTF16):(n=UTF32ToString,s=stringToUTF32,l=lengthBytesUTF32),registerType(r,{name:i,fromWireType:u=>{var c=HEAPU32[u>>>2>>>0],h=n(u+4,c*t,!0);return _free(u),h},toWireType:(u,c)=>{"string"!=typeof c&&throwBindingError(`Cannot pass non-string to C++ string type ${i}`);var h=l(c),y=_malloc(4+h+t);return HEAPU32[y>>>2>>>0]=h/t,s(c,y+4,h+t),null!==u&&u.push(_free,y),y},readValueFromPointer:readPointer,destructorFunction(u){_free(u)}})}function __embind_register_value_object(r,t,i,n,s,l){t>>>=0,i>>>=0,n>>>=0,s>>>=0,l>>>=0,structRegistrations[r>>>=0]={name:AsciiToString(t),rawConstructor:embind__requireFunction(i,n),rawDestructor:embind__requireFunction(s,l),fields:[]}}function __embind_register_value_object_field(r,t,i,n,s,l,u,c,h,y){t>>>=0,i>>>=0,n>>>=0,s>>>=0,l>>>=0,u>>>=0,c>>>=0,h>>>=0,y>>>=0,structRegistrations[r>>>=0].fields.push({fieldName:AsciiToString(t),getterReturnType:i,getter:embind__requireFunction(n,s),getterContext:l,setterArgumentType:u,setter:embind__requireFunction(c,h),setterContext:y})}var __embind_register_void=function(r,t){registerType(r>>>=0,{isVoid:!0,name:t=AsciiToString(t>>>=0),fromWireType:()=>{},toWireType:(i,n)=>{}})},emval_methodCallers=[],emval_addMethodCaller=r=>{var t=emval_methodCallers.length;return emval_methodCallers.push(r),t},requireRegisteredType=(r,t)=>{var i=registeredTypes[r];return void 0===i&&throwBindingError(`${t} has unknown type 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n.dataMemory.buffer.slice(s,s+n.elementSize)}{const s=new Uint32Array(n.indexMemory.buffer,0,n.count),l=s[i],u=i<n.count-1?s[i+1]:n.dataMemory.usedBytes;return n.dataMemory.buffer.slice(l,u)}}get_batch(t,i,n){const s=this.vectors.get(t);if(!s||i>=s.count)return null;const l=Math.min(n,s.count-i);if(l<=0)return null;if(s.isFixed){const u=i*s.elementSize,c=(i+l)*s.elementSize;return s.dataMemory.buffer.slice(u,c)}{const u=new Uint32Array(s.indexMemory.buffer,0,s.count),c=u[i],h=i+l<s.count?u[i+l]:s.dataMemory.usedBytes;return s.dataMemory.buffer.slice(c,h)}}size(t){const i=this.vectors.get(t);return i?i.count:0}clear(t){const i=this.vectors.get(t);i&&(i.count=0,i.dataMemory&&(i.dataMemory=null),i.indexMemory&&(i.indexMemory=null))}reserve(t,i){}shrink_to_fit(t){}}Module.JSVectorManager=new VectorManager;class StreamingJSONArrayProcessor{constructor(t=2097152){this.originalString="",this.batchSizeBytes=t,this.currentBatchIndex=0,this.arrayStartIndex=-1,this.arrayEndIndex=-1,this.isParsed=!1,this.batches=[]}_findDataArray(){const t='"data"';let i=0,n=-1;for(;i<this.originalString.length;){const g=this.originalString.indexOf(t,i);if(-1===g)break;let L=g-1;for(;L>=0&&/\s/.test(this.originalString[L]);)L--;let M=g+6;for(;M<this.originalString.length&&/\s/.test(this.originalString[M]);)M++;if((L<0||"{"===this.originalString[L]||","===this.originalString[L])&&M<this.originalString.length&&":"===this.originalString[M]){n=g;break}i=g+1}if(-1===n)throw new Error("Data array not found");let s=n+6;for(;s<this.originalString.length&&":"!==this.originalString[s];)s++;if(s>=this.originalString.length)throw new Error("Invalid data key format");let l=s+1;for(;l<this.originalString.length&&/\s/.test(this.originalString[l]);)l++;if(l>=this.originalString.length||"["!==this.originalString[l])throw new Error("Data value is not an array");this.arrayStartIndex=l+1;let u=1,c=this.arrayStartIndex,h=!1,y=!1;for(;c<this.originalString.length&&u>0;){const g=this.originalString[c];y?y=!1:"\\"===g?y=!0:'"'!==g||y?h||("["===g?u++:"]"===g&&u--):h=!h,c++}this.arrayEndIndex=c-1,this.dataKeyStartIndex=n,this.dataArrayEndIndex=c}parse(t){this.originalString=t;try{return this._findDataArray(),-1!==this.arrayStartIndex&&-1!==this.arrayEndIndex&&(this._preParseAllBatches(),this.isParsed=!0,this.currentBatchIndex=0,!0)}catch(i){return console.error("Parse failed:",i),!1}}_preParseAllBatches(){this.batches=[];let t=this.arrayStartIndex;for(;t<this.arrayEndIndex&&/\s|,/.test(this.originalString[t]);)t++;for(;t<this.arrayEndIndex;){const i=t;let n=t,s=0,l=0,u=0,c=!1,h=!1,y=!1;for(;n<this.arrayEndIndex&&s<this.batchSizeBytes;){const g=this.originalString[n];if(h)h=!1;else if("\\"===g)h=!0;else if('"'!==g||h){if(!c)if("["===g||"{"===g)u++;else if("]"===g||"}"===g)u--;else 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Call parse() first.");return this.originalString.substring(0,this.dataKeyStartIndex)+'"data":true'+this.originalString.substring(this.dataArrayEndIndex)}getNextBatch(){if(!this.isParsed)throw new Error("Parser not initialized. Call parse() first.");if(this.currentBatchIndex>=this.batches.length)return null;const t=this.batches[this.currentBatchIndex],n={data:`[${this.originalString.substring(t.startPos,t.endPos)}]`,elementCount:t.elementCount,isLastBatch:this.currentBatchIndex===this.batches.length-1};return this.currentBatchIndex++,n}isFinished(){return!this.isParsed||this.currentBatchIndex>=this.batches.length}reset(){if(!this.isParsed)throw new Error("Parser not initialized. Call parse() first.");this.currentBatchIndex=0}}return Module.VTask=function(r,t,i,n,s,l){r&&"python"==r.CodeLang&&r.Options&&(r.Options.DataServer=""),typeof l<"u"&&(Module.__ret__=l),(typeof t>"u"||!t)&&(t={});var u=addFunction(function(M,v,m,x){var W,O=UTF8ToString(M);if(typeof t[O]<"u"?W=t[O]:(W=i(O),-1==O.indexOf("\n")&&(t[O]=W)),Module.JSVectorManager.is_enabled()&&-1!=O.indexOf("&event=feed")&&W.length>2097152&&(W.startsWith("base64:")&&(W=atob(W.substring(7))),-1!=W.indexOf('"data"'))){let F=new StreamingJSONArrayProcessor;F.parse(W)&&(Module.JSVectorManager.processor=F,W=F.getTemplateString())}var q=lengthBytesUTF8(W)+1,X=_malloc(q);return stringToUTF8(W,X,q),setValue(v,X,"i32"),setValue(m,q,"i32"),setValue(x,1,"i32"),0},"iiiii");let c=null,h=[];var g=addFunction(function(M){let v=JSON.parse(UTF8ToString(M));(function(M){if(1==M.TaskStatus){M.Symbols;{let v=Module.__runtime__;typeof v<"u"&&(M.Extra=v)}if(c)for(let v in c.Max){if("ChartItems"==v){if(!M.Chart)continue;M.ChartItems=M.Chart.Datas}typeof M[v]<"u"&&"function"==typeof M[v].concat&&(M[v].length<c.Max[v]&&typeof c.Data[v]<"u"&&(M[v]=c.Data[v].concat(M[v])),M[v].length>c.Max[v]&&(M[v]=M[v].slice(M[v].length-c.Max[v]))),"ChartItems"==v&&(M.Chart.Datas=M[v],delete M[v])}if(typeof M.Orders<"u"&&h.length==M.Orders.length)for(let v=0;v<M.Orders.length;v++)M.Orders[v]=h[v].concat(M.Orders[v]);c=null,h=[]}else{if(typeof M.Cache>"u")return;if(typeof M.Cache.Orders<"u")if(0==h.length)h=M.Cache.Orders;else if(h.length==M.Cache.Orders.length)for(let v=0;v<h.length;v++)h[v]=h[v].concat(M.Cache.Orders[v]);if(typeof M.Cache.Max>"u")return;if(c){if(typeof M.Cache.Data<"u")for(let v in M.Cache.Data)typeof c.Data[v]<"u"&&M.Cache.Data[v].length<c.Max[v]?c.Data[v]=c.Data[v].concat(M.Cache.Data[v]):c.Data[v]=M.Cache.Data[v]}else c=M.Cache,typeof c.Data>"u"&&(c.Data={});for(let v in c.Max){let m=c.Data[v];m&&"function"==typeof m.slice&&m.length>c.Max[v]&&(c.Data[v]=m.slice(m.length-c.Max[v]))}}})(v),typeof v.Cache>"u"&&n(v)},"vi");let L=addFunction(function(M,v,m){let x=Module.__dumpStack__;if("function"!=typeof x)return 1;let O=x(),W=lengthBytesUTF8(O)+1,q=_malloc(W);return stringToUTF8(O,q,W+1),setValue(M,q,"i32"),setValue(v,W,"i32"),setValue(m,1,"i32"),0},"iiii");"function"==typeof s&&(Module.onEnd=s),ccall("backtest","number",["string","string","pointer","pointer"],[JSON.stringify(r),null,u,g,L]),"function"==typeof Module.onEnd&&Module.onEnd()},moduleRtn=runtimeInitialized?Module:new Promise((r,t)=>{readyPromiseResolve=r,readyPromiseReject=t}),moduleRtn}})();function patchTask(task){return void 0===task.CodePrefix&&(task.CodePrefix='class Trader {\n    constructor(exchange, options = {}) {\n        var _a, _b, _c, _d, _e, _f, _g, _h;\n        this.markets = new Map();\n        this.spotPositions = new Map();\n        this.vSymbolMap = new Map();\n        this.isVirtual = false;\n        this.isFutures = false;\n        this.isCTP = false;\n        this.isPolymarket = false;\n        this.isLeverageSet = new Map();\n        this.initAsset = null;\n        this.pfnAfterTrade = null;\n        this.futuresPositionsCache = {\n            data: null,\n            cachedAt: 0,\n            cacheTime: 0,\n        };\n        this.isSyncSpotPositions = false;\n        this.rolloverTimer = null;\n        this.e = exchange !== null && exchange !== void 0 ? exchange : exchanges[0];\n        this.slippage = (_a = options.slippage) !== null && _a !== void 0 ? _a : 2;\n        this.fee = (_b = options.fee) !== null && _b !== void 0 ? _b : 0.001;\n        this.retryDelay = (_c = options.retryDelay) !== null && _c !== void 0 ? _c : 1000;\n        this.maxRetry = (_d = options.maxRetry) !== null && _d !== void 0 ? _d : 5;\n        this.orderTimeout = (_e = options.orderTimeout) !== null && _e !== void 0 ? _e : 10000;\n        this.marginLevel = (_f = options.marginLevel) !== null && _f !== void 0 ? _f : 10;\n        this.eName = this.e.GetName();\n        this.isFutures = this.e.GetName().indexOf(\'Futures_\') === 0;\n        this.isCTP = this.e.GetName() == "Futures_CTP" || this.e.GetName() == \'Futures_Esunny\';\n        this.isPolymarket = this.e.GetName() == "Futures_Polymarket";\n        this.futuresPositionsCache.cacheTime = (_g = options.positionCacheTime) !== null && _g !== void 0 ? _g : 5000;\n        this.isVirtual = IsVirtual();\n        this.isSyncSpotPositions = (_h = options.syncSpotPositions) !== null && _h !== void 0 ? _h : false;\n        if (this.isSyncSpotPositions && !this.isFutures) {\n            this.syncSpotPositions();\n        }\n    }\n    static getInstance(exchange, options = {}) {\n        var _a, _b, _c, _d, _e, _f;\n        const targetExchange = exchange !== null && exchange !== void 0 ? exchange : exchanges[0];\n        let instance = Trader.instances.get(targetExchange);\n        if (!instance) {\n            instance = new Trader(targetExchange, options);\n            Trader.instances.set(targetExchange, instance);\n        }\n        else {\n            instance.slippage = (_a = options.slippage) !== null && _a !== void 0 ? _a : instance.slippage;\n            instance.fee = (_b = options.fee) !== null && _b !== void 0 ? _b : instance.fee;\n            instance.retryDelay = (_c = options.retryDelay) !== null && _c !== void 0 ? _c : instance.retryDelay;\n            instance.orderTimeout = (_d = options.orderTimeout) !== null && _d !== void 0 ? _d : instance.orderTimeout;\n            instance.marginLevel = (_e = options.marginLevel) !== null && _e !== void 0 ? _e : instance.marginLevel;\n            instance.futuresPositionsCache.cacheTime = (_f = options.positionCacheTime) !== null && _f !== void 0 ? _f : instance.futuresPositionsCache.cacheTime;\n        }\n        return instance;\n    }\n    getMarketInfo(symbol) {\n        var _a;\n        if (!symbol) {\n            symbol = this._getDefaultSymbol();\n        }\n        if (this.isCTP) {\n            let ct = this.e.SetContractType(symbol);\n            if (ct) {\n                if (symbol != ct.InstrumentID) {\n                    this.vSymbolMap.set(ct.InstrumentID, symbol);\n                }\n                symbol = ct.InstrumentID;\n                if (!this.markets.has(symbol)) {\n                    if (this.isVirtual) {\n                        this.getTicker(symbol);\n                    }\n                    this._loadAllMarkets();\n                }\n            }\n        }\n        else {\n            if (this.isVirtual) {\n                if (!this.markets.has(symbol)) {\n                    this.e.GetTicker(symbol);\n                    this._loadAllMarkets();\n                }\n            }\n            else if (this.markets.size === 0) {\n                this._loadAllMarkets();\n            }\n        }\n        return (_a = this.markets.get(symbol)) !== null && _a !== void 0 ? _a : null;\n    }\n    _getFuturesPositions(force) {\n        if (!force && this.futuresPositionsCache.data && (Date.now() - this.futuresPositionsCache.cachedAt < this.futuresPositionsCache.cacheTime)) {\n            return this.futuresPositionsCache.data;\n        }\n        let positions = this.e.GetPositions();\n        if (positions) {\n            if (this.isPolymarket) {\n                while (true) {\n                    let needRetry = false;\n                    positions.forEach(pos => {\n                        if (pos.Info.redeemable) {\n                            this.e.IO("redeem", pos.Symbol, true);\n                            needRetry = true;\n                        }\n                    });\n                    if (!needRetry) {\n                        break;\n                    }\n                    else {\n                        Sleep(5000);\n                        positions = this.e.GetPositions();\n                        if (!positions) {\n                            return null;\n                        }\n                    }\n                }\n            }\n            this.futuresPositionsCache.data = positions;\n            this.futuresPositionsCache.cachedAt = Date.now();\n        }\n        return positions;\n    }\n    _getDefaultSymbol() {\n        if (!this.isFutures) {\n            return this.e.GetCurrency();\n        }\n        if (this.isCTP) {\n            return this.e.GetContractType();\n        }\n        return this.e.GetCurrency() + "." + (this.e.GetContractType() || "swap");\n    }\n    _isCTPSymbolTrading(symbol) {\n        if (this.isVirtual) {\n            return true;\n        }\n        function ins2product(symbol) {\n            if (symbol.length > 6 && symbol.indexOf(\' \') == -1) {\n                return symbol;\n            }\n            symbol = symbol.replace(\'SPD \', \'\').replace(\'SP \', \'\');\n            let shortName = "";\n            for (let i = 0; i < symbol.length; i++) {\n                let ch = symbol.charCodeAt(i);\n                if (ch >= 48 && ch <= 57) {\n                    break;\n                }\n                shortName += symbol[i];\n            }\n            return shortName;\n        }\n        let ts = new Date().getTime();\n        let ret = __syscall("IsMarketOpen", ts, "CN", ins2product(symbol));\n        return ret.isOpen && ret.adjustTime == ts;\n    }\n    _rollover() {\n        if (!this.isCTP) {\n            return;\n        }\n        if (!this.e.IO("status")) {\n            return;\n        }\n        const positions = this._getFuturesPositions(true);\n        if (!positions) {\n            return;\n        }\n        positions.forEach(pos => {\n            if (!this._isCTPSymbolTrading(pos.Symbol)) {\n                return;\n            }\n            const vSymbol = this.vSymbolMap.get(pos.Symbol);\n            if (!vSymbol) {\n                return;\n            }\n            const market = this.getMarketInfo(vSymbol);\n            if (market && market.Symbol != pos.Symbol) {\n                let ret = this._futuresTrade(pos.Symbol, pos.Type, pos.Amount, true, "[移仓平仓] " + vSymbol);\n                if (ret && this._futuresTrade(market.Symbol, pos.Type, ret.amount, false, "[移仓开仓] " + vSymbol)) {\n                    if (ret.amount == pos.Amount) {\n                        this.vSymbolMap.delete(pos.Symbol);\n                    }\n                }\n            }\n        });\n    }\n    _setupRolloverTimer() {\n        if (!this.isCTP || typeof (setTimeout) === \'undefined\' || this.rolloverTimer != null) {\n            return;\n        }\n        let obj = this;\n        function rollover() {\n            obj._rollover();\n            obj.rolloverTimer = setTimeout(rollover, 60000 * 60);\n        }\n        rollover();\n    }\n    _clearRolloverTimer() {\n        if (this.rolloverTimer != null) {\n            clearTimeout(this.rolloverTimer);\n            this.rolloverTimer = null;\n        }\n    }\n    _getFuturesPosition(symbol, force) {\n        var _a;\n        const positions = this._retry(() => this._getFuturesPositions(force));\n        const market = this.getMarketInfo(symbol);\n        let pricePrecision = (_a = market === null || market === void 0 ? void 0 : market.PricePrecision) !== null && _a !== void 0 ? _a : 8;\n        let longAmount = 0;\n        let shortAmount = 0;\n        let longValue = 0;\n        let shortValue = 0;\n        let margin = 0;\n        let items = [];\n        for (const pos of positions) {\n            if ((pos.Symbol === symbol) || (this.isCTP && pos.Symbol == (market === null || market === void 0 ? void 0 : market.Symbol))) {\n                const isLong = pos.Type === PD_LONG || pos.Type === PD_LONG_YD;\n                if (isLong) {\n                    longAmount += pos.Amount;\n                    longValue += pos.Amount * pos.Price;\n                }\n                else {\n                    shortAmount += pos.Amount;\n                    shortValue += pos.Amount * pos.Price;\n                }\n                items.push(pos);\n                margin += pos.Margin;\n            }\n        }\n        let netAmount = longAmount - shortAmount;\n        if (!this.isCTP && market && typeof (market.CtVal) === "number" && market.CtValCcy == market.BaseAsset && market.CtVal != 1) {\n            netAmount = netAmount * market.CtVal;\n        }\n        let avgPrice = 0;\n        if (netAmount > 0) {\n            avgPrice = longAmount > 0 ? longValue / longAmount : 0;\n        }\n        else if (netAmount < 0) {\n            avgPrice = shortAmount > 0 ? shortValue / shortAmount : 0;\n        }\n        return {\n            symbol: symbol,\n            amount: _N(netAmount, 8),\n            price: _N(avgPrice, pricePrecision),\n            margin: _N(margin, 8),\n            items: items,\n        };\n    }\n    _getSpotPosition(symbol) {\n        var _a;\n        return (_a = this.spotPositions.get(symbol)) !== null && _a !== void 0 ? _a : { symbol: symbol, amount: 0, price: 0, margin: 0 };\n    }\n    _updateSpotPosition(symbol, market, tradeAmount, tradePrice, isBuy) {\n        const current = this._getSpotPosition(symbol);\n        if (current.amount === 0) {\n            this.spotPositions.set(symbol, {\n                symbol: symbol,\n                amount: _N(isBuy ? tradeAmount : -tradeAmount, market.AmountPrecision),\n                price: _N(tradePrice, market.PricePrecision),\n                margin: _N(tradePrice * tradeAmount, 8)\n            });\n        }\n        else {\n            const isCurrentLong = current.amount > 0;\n            const isSameDirection = (isBuy && isCurrentLong) || (!isBuy && !isCurrentLong);\n            if (isSameDirection) {\n                const currentAbsAmount = Math.abs(current.amount);\n                const totalValue = currentAbsAmount * current.price + tradeAmount * tradePrice;\n                const totalAmount = currentAbsAmount + tradeAmount;\n                this.spotPositions.set(symbol, {\n                    symbol: symbol,\n                    amount: _N(isBuy ? totalAmount : -totalAmount, market.AmountPrecision),\n                    price: _N(totalValue / totalAmount, market.PricePrecision),\n                    margin: _N((totalValue / totalAmount) * totalAmount, 8)\n                });\n            }\n            else {\n                const currentAbsAmount = Math.abs(current.amount);\n                const remainAmount = _N(currentAbsAmount - tradeAmount, market.AmountPrecision);\n                if (Math.abs(remainAmount) < market.MinQty) {\n                    this.spotPositions.set(symbol, { symbol: symbol, amount: 0, price: 0, margin: 0 });\n                }\n                else {\n                    if (remainAmount < 0) {\n                        this.spotPositions.set(symbol, {\n                            symbol: symbol,\n                            amount: isBuy ? Math.abs(remainAmount) : -Math.abs(remainAmount),\n                            price: _N(tradePrice, market.PricePrecision),\n                            margin: _N(tradePrice * Math.abs(remainAmount), 8)\n                        });\n                    }\n                    else {\n                        this.spotPositions.set(symbol, {\n                            symbol: symbol,\n                            amount: isCurrentLong ? remainAmount : -remainAmount,\n                            price: _N(current.price, market.PricePrecision),\n                            margin: _N(current.price * remainAmount, 8)\n                        });\n                    }\n                }\n            }\n        }\n        const finalPosition = this.spotPositions.get(symbol);\n        if (finalPosition && finalPosition.amount != 0 && Math.abs(finalPosition.amount) < market.MinQty) {\n            Log(`[${symbol}] ${_T("持仓", "Position")} ${Math.abs(finalPosition.amount)} ${_T("小于最小交易量", "less than minimum trade amount")} ${market.MinQty}，${_T("视为空仓", "treated as no position")}`);\n            this.spotPositions.set(symbol, { symbol: symbol, amount: 0, price: 0, margin: 0 });\n        }\n    }\n    _getPriceForAmount(depth, isBuy, targetAmount) {\n        const books = isBuy ? depth.Asks : depth.Bids;\n        if (!books || books.length === 0) {\n            return null;\n        }\n        let price = books[0].Price;\n        if (!this.isVirtual) {\n            let cumulativeAmount = 0;\n            for (let idx = 0; idx < books.length; idx++) {\n                const book = books[idx];\n                cumulativeAmount += book.Amount;\n                if (cumulativeAmount >= targetAmount) {\n                    price = book.Price;\n                    break;\n                }\n            }\n        }\n        return price;\n    }\n    _futuresTrade(symbol, direction, amount, isClose, comment) {\n        var _a, _b;\n        const market = this.getMarketInfo(symbol);\n        if (!market) {\n            Log(`[${symbol}] ${_T("市场信息不存在", "Market info does not exist")}`);\n            return null;\n        }\n        let isVirtualSymbol = false;\n        if (this.isCTP) {\n            isVirtualSymbol = symbol != market.Symbol;\n            symbol = market.Symbol;\n        }\n        else {\n            if (!isClose) {\n                if (this.isFutures && !this.isPolymarket && !this.isCTP && !this.isLeverageSet.get(symbol)) {\n                    this.e.SetMarginLevel(symbol, this.marginLevel);\n                    this.isLeverageSet.set(symbol, true);\n                }\n            }\n        }\n        const initNetPosition = this._getFuturesPosition(symbol, true);\n        const initNetAmount = initNetPosition.amount;\n        const initAbsAmount = Math.abs(initNetAmount);\n        Log(`[${symbol}] ${_T("初始持仓:", "Initial position:")} ${_N(initNetAmount, 8)}, ${_T("当前任务:", "Current task:")} ${isClose ? (_T("平仓", "Close position")) : (_T("开仓", "Open position"))} ${_N(amount, 8)} ${direction === PD_LONG ? _T("多头", "Long") : _T("空头", "Short")}`);\n        if (this.isFutures && !isClose) {\n            if (initNetAmount > 0 && direction == PD_SHORT) {\n                if (amount > initNetAmount) {\n                    if (this._futuresTrade(symbol, PD_LONG, initNetAmount, true, _T("反向平仓", "Reverse close"))) {\n                        return this._futuresTrade(symbol, direction, amount - initNetAmount, false, comment);\n                    }\n                    else {\n                        return null;\n                    }\n                }\n                else {\n                    return this._futuresTrade(symbol, PD_LONG, amount, true, _T("平仓", "Close position"));\n                }\n            }\n            else if (initNetAmount < 0 && direction == PD_LONG) {\n                if (amount > -initNetAmount) {\n                    if (this._futuresTrade(symbol, PD_SHORT, -initNetAmount, true, _T("反向平仓", "Reverse close"))) {\n                        return this._futuresTrade(symbol, direction, amount + initNetAmount, false, comment);\n                    }\n                    else {\n                        return null;\n                    }\n                }\n                else {\n                    return this._futuresTrade(symbol, PD_SHORT, amount, true, _T("平仓", "Close position"));\n                }\n            }\n        }\n        if (isClose && initAbsAmount <= 0) {\n            return { amount: 0, avgPrice: 0, position: initNetPosition };\n        }\n        const targetAmount = isClose ? Math.min(amount, initAbsAmount) : amount;\n        let orderId = null;\n        let isCheck = true;\n        let currentNetPosition = initNetPosition;\n        let retryCount = 0;\n        let useMarket = false;\n        while (true) {\n            const currentNetAmount = currentNetPosition.amount;\n            const currentAbsAmount = Math.abs(currentNetAmount);\n            let side;\n            let isBuy;\n            let needTrade;\n            if (isClose) {\n                side = (direction == PD_LONG || direction == PD_LONG_YD) ? "closebuy" : "closesell";\n                isBuy = direction == PD_SHORT;\n                const closedAmount = initAbsAmount - currentAbsAmount;\n                needTrade = targetAmount - closedAmount;\n                if (this.isCTP && currentNetPosition.items && needTrade > 0) {\n                    for (let i = 0; i < currentNetPosition.items.length; i++) {\n                        const pos = currentNetPosition.items[i];\n                        if (!isBuy && (pos.Type == PD_LONG || pos.Type == PD_LONG_YD)) {\n                            side = pos.Type == PD_LONG ? "closebuy_today" : "closebuy";\n                            needTrade = Math.min(needTrade, pos.Amount);\n                            break;\n                        }\n                        else if (isBuy && (pos.Type == PD_SHORT || pos.Type == PD_SHORT_YD)) {\n                            side = pos.Type == PD_SHORT ? "closesell_today" : "closesell";\n                            needTrade = Math.min(needTrade, pos.Amount);\n                            break;\n                        }\n                    }\n                }\n            }\n            else {\n                side = direction == PD_LONG ? "buy" : "sell";\n                isBuy = direction == PD_LONG;\n                const openedAmount = Math.abs(currentAbsAmount - initAbsAmount);\n                needTrade = targetAmount - openedAmount;\n            }\n            const depth = this._retry(() => this.e.GetDepth(symbol));\n            const depthPrice = this._getPriceForAmount(depth, isBuy, targetAmount);\n            if (!depthPrice) {\n                Sleep(this.retryDelay);\n                continue;\n            }\n            if (!isClose && isCheck) {\n                isCheck = false;\n                let marginCurrency = market.QuoteAsset == "USD" ? market.BaseAsset : market.QuoteAsset;\n                if (this.eName == "Futures_EdgeX") {\n                    marginCurrency = "USD";\n                }\n                const requiredMargin = marginCurrency == market.QuoteAsset ? (targetAmount * depthPrice) / this.marginLevel : targetAmount / this.marginLevel;\n                const assets = this.getAssets();\n                let marginBalance = (_b = (_a = assets.find(a => a.Currency === marginCurrency)) === null || _a === void 0 ? void 0 : _a.Amount) !== null && _b !== void 0 ? _b : 0;\n                if (marginBalance < requiredMargin) {\n                    Log(`[${symbol}] ${_T("保证金不足，需要:", "Insufficient margin, required:")} ${_N(requiredMargin, 2)}，${_T("可用:", "available:")} ${marginBalance} ${marginCurrency}`);\n                    return null;\n                }\n            }\n            const pricePrecision = market.PricePrecision;\n            const slidePrice = Math.pow(10, -pricePrecision) * this.slippage;\n            const tradePrice = _N(isBuy ? depthPrice + slidePrice : depthPrice - slidePrice, pricePrecision);\n            let doAmount = isClose ? Math.min(needTrade, currentAbsAmount) : needTrade;\n            if (doAmount > 0) {\n                if (!this.isCTP && typeof (market.CtVal) === "number" && market.CtValCcy == market.BaseAsset && market.CtVal != 1) {\n                    let preAmount = doAmount;\n                    doAmount = _N(doAmount / market.CtVal, market.AmountPrecision);\n                    Log(`[${symbol}] ${_T("按合约价值调整交易数量:", "Adjust trade amount by contract value:")} ${preAmount} -> ${doAmount}`, _T("合约价值:", "Contract value:"), market.CtVal);\n                }\n                else {\n                    doAmount = _N(doAmount, market.AmountPrecision);\n                }\n            }\n            if (market.MinQty) {\n                if (doAmount > market.MinQty * 0.8 && doAmount < market.MinQty) {\n                    doAmount = market.MinQty;\n                }\n                else if (doAmount < market.MinQty) {\n                    if (doAmount > 0) {\n                        Log(`[${symbol}] ${_T("交易数量小于最小交易量，停止交易", "Trade amount less than minimum trade amount, stop trading")}, ${_T("最小交易量:", "minimum trade amount:")} ${market.MinQty}, ${_T("当前交易量:", "current trade amount:")} ${doAmount}`);\n                    }\n                    break;\n                }\n            }\n            orderId = this.e.CreateOrder(symbol, side, (useMarket ? -1 : tradePrice), doAmount, comment !== null && comment !== void 0 ? comment : "");\n            if (!orderId || this._waitForOrder(orderId) == 0) {\n                this._cancelPendingOrders(symbol, direction == PD_LONG ? ORDER_TYPE_BUY : ORDER_TYPE_SELL);\n                if (!orderId) {\n                    retryCount++;\n                    if (retryCount >= this.maxRetry) {\n                        Log(`[${symbol}] ${_T("创建订单失败，停止交易", "Failed to create order, stop trading")}`);\n                        return null;\n                    }\n                    useMarket = true;\n                }\n            }\n            Sleep(this.retryDelay);\n            if (this.isPolymarket) {\n                Sleep(5000);\n            }\n            currentNetPosition = this._getFuturesPosition(symbol, true);\n            Log(`[${symbol}] ${isClose ? _T("平仓中", "Closing position") : _T("开仓中", "Opening position")}, ${_T("当前持仓:", "Current position:")} ${_N(currentNetPosition.amount, market.AmountPrecision)}`);\n        }\n        const finalAbsAmount = Math.abs(currentNetPosition.amount);\n        let tradedAmount;\n        if (isClose) {\n            tradedAmount = initAbsAmount - finalAbsAmount;\n        }\n        else {\n            tradedAmount = Math.abs(finalAbsAmount - initAbsAmount);\n        }\n        if (tradedAmount > 0) {\n            if (isVirtualSymbol) {\n                this._setupRolloverTimer();\n            }\n            const actionText = isClose ?\n                (direction === PD_LONG ? _T(\'平多\', \'Close long\') : _T(\'平空\', \'Close short\')) :\n                (direction === PD_LONG ? _T(\'开多\', \'Open long\') : _T(\'开空\', \'Open short\'));\n            const avgPrice = isClose ? initNetPosition.price : currentNetPosition.price;\n            Log(`[${symbol}] ${actionText}${_T("完成:", " completed:")} ${_N(tradedAmount, market.AmountPrecision)}, ${_T("平均价:", "average price:")} ${_N(avgPrice, market.PricePrecision)}`);\n            let ret = {\n                amount: _N(tradedAmount, market.AmountPrecision),\n                avgPrice: _N(avgPrice, market.PricePrecision),\n                position: currentNetPosition,\n            };\n            if (typeof (this.pfnAfterTrade) === \'function\') {\n                this.pfnAfterTrade({\n                    tradeResult: ret,\n                    initAssets: this.initAsset\n                });\n            }\n            return ret;\n        }\n        return {\n            amount: 0,\n            avgPrice: 0,\n            position: currentNetPosition\n        };\n    }\n    _retry(fn) {\n        while (true) {\n            const result = fn();\n            if (result !== null && result !== undefined) {\n                return result;\n            }\n            Sleep(this.retryDelay);\n        }\n    }\n    _getPrecision(s) {\n        let v = typeof s === \'number\' ? s : parseFloat(String(s).replace(/,/g, \'\'));\n        if (isNaN(v)) {\n            return 0;\n        }\n        const fixedStr = v.toFixed(8).replace(/\\.?0+$/, \'\');\n        const parts = fixedStr.split(\'.\');\n        if (parts.length === 2) {\n            return parts[1].length;\n        }\n        const intPart = parts[0];\n        for (let i = intPart.length - 1; i >= 0; i--) {\n            if (intPart[i] !== \'0\') {\n                return -(intPart.length - i - 1);\n            }\n        }\n        return 0;\n    }\n    _loadAllMarkets() {\n        const markets = this._retry(() => this.e.GetMarkets());\n        this.markets = new Map();\n        for (const [symbol, market] of Object.entries(markets)) {\n            if (typeof (market.PricePrecision) === \'number\' || typeof (market.TickSize) === \'number\') {\n                market.PricePrecision = Math.min(this._getPrecision(market.TickSize), market.PricePrecision);\n            }\n            this.markets.set(symbol, market);\n        }\n    }\n    _waitForOrder(orderId) {\n        const startTime = Date.now();\n        if (this.isCTP) {\n            Sleep(100);\n        }\n        while (true) {\n            const order = this._retry(() => this.e.GetOrder(orderId));\n            if (order.Status != ORDER_STATE_PENDING) {\n                Log(orderId, order);\n                return order.DealAmount;\n            }\n            if (Date.now() - startTime > this.orderTimeout) {\n                this.e.CancelOrder(orderId, `[${orderId}] 超时未成交`);\n                return order.DealAmount;\n            }\n            Sleep(this.retryDelay);\n        }\n    }\n    _executeSpot(symbol, direction, amount, comment) {\n        const market = this.getMarketInfo(symbol);\n        if (!market) {\n            Log(`[${symbol}] ${_T("市场信息不存在", "Market info does not exist")}`);\n            return null;\n        }\n        const isBuy = direction === PD_LONG;\n        const orderType = isBuy ? "buy" : "sell";\n        const baseCurrency = market.BaseAsset;\n        const preAssets = this._waitForAccountUnfrozen(baseCurrency, market.MinQty);\n        const initBaseAsset = preAssets.find((a) => a.Currency === baseCurrency);\n        const initStocks = initBaseAsset ? initBaseAsset.Amount : 0;\n        let nowAccount = preAssets;\n        let orderId = null;\n        let dealAmount = 0;\n        let retryCount = 0;\n        let useMarket = false;\n        while (true) {\n            const depth = this.e.GetDepth(symbol);\n            if (!depth) {\n                Sleep(this.retryDelay);\n                continue;\n            }\n            const priceArray = isBuy ? depth.Asks : depth.Bids;\n            if (!priceArray || priceArray.length === 0) {\n                Sleep(this.retryDelay);\n                continue;\n            }\n            const pricePrecision = market.PricePrecision;\n            const slidePrice = Math.pow(10, -pricePrecision) * this.slippage;\n            let tradePrice = isBuy ?\n                _N(priceArray[0].Price + slidePrice, pricePrecision) :\n                _N(priceArray[0].Price - slidePrice, pricePrecision);\n            if (!isBuy && tradePrice <= 0) {\n                tradePrice = priceArray[0].Price;\n            }\n            const nowBaseAsset = nowAccount.find((a) => a.Currency === baseCurrency);\n            const nowStocks = nowBaseAsset ? nowBaseAsset.Amount : 0;\n            dealAmount = isBuy ? (nowStocks - initStocks) : (initStocks - nowStocks);\n            const remainAmount = amount - dealAmount;\n            let doAmount;\n            if (isBuy) {\n                const quoteCurrency = market.QuoteAsset;\n                const nowQuoteAsset = nowAccount.find((a) => a.Currency === quoteCurrency);\n                const nowBalance = nowQuoteAsset ? nowQuoteAsset.Amount : 0;\n                const maxAffordable = nowBalance / (tradePrice * (1 + this.fee));\n                doAmount = _N(Math.min(remainAmount, maxAffordable), market.AmountPrecision);\n            }\n            else {\n                doAmount = _N(Math.min(remainAmount, nowStocks), market.AmountPrecision);\n            }\n            if (market.MinQty) {\n                if (doAmount > market.MinQty * 0.8 && doAmount < market.MinQty) {\n                    doAmount = market.MinQty;\n                }\n                else if (doAmount < market.MinQty) {\n                    if (doAmount > 0) {\n                        Log(`[${symbol}] ${_T("交易数量小于最小交易量，停止交易", "Trade amount less than minimum trade amount, stop trading")}, ${_T("最小交易量:", "minimum trade amount:")} ${market.MinQty}, ${_T("当前交易量:", "current trade amount:")} ${doAmount}`);\n                    }\n                    break;\n                }\n            }\n            const notional = tradePrice * doAmount;\n            if (market.MinNotional && notional < market.MinNotional) {\n                Log(`[${symbol}] ${_T("交易金额小于最小交易金额，停止交易", "Trade notional less than minimum trade notional, stop trading")}, ${_T("最小交易金额:", "minimum trade notional:")} ${market.MinNotional}, ${_T("当前交易金额:", "current trade notional:")} ${notional}`);\n                break;\n            }\n            if (useMarket) {\n                if (orderType == "buy" && !(this.eName == "Bitfinex" || this.eName == "AscendEx" || this.eName == "BitMEX") && !this.isCTP && !this.isVirtual) {\n                    doAmount = tradePrice * doAmount;\n                }\n                tradePrice = -1;\n            }\n            orderId = this.e.CreateOrder(symbol, orderType, tradePrice, doAmount, comment !== null && comment !== void 0 ? comment : "");\n            if (!orderId || this._waitForOrder(orderId) == 0) {\n                this._cancelPendingOrders(symbol, isBuy ? ORDER_TYPE_BUY : ORDER_TYPE_SELL);\n                if (!orderId) {\n                    retryCount++;\n                    if (retryCount >= this.maxRetry) {\n                        Log(`[${symbol}] ${_T("创建订单失败，停止交易", "Failed to create order, stop trading")}`);\n                        break;\n                    }\n                    useMarket = true;\n                }\n            }\n            Sleep(this.retryDelay);\n            nowAccount = this._waitForAccountUnfrozen(baseCurrency, market.MinQty);\n        }\n        const finalBaseAsset = nowAccount.find((a) => a.Currency === baseCurrency);\n        const finalStocks = finalBaseAsset ? finalBaseAsset.Amount : 0;\n        const totalDeal = isBuy ? (finalStocks - initStocks) : (initStocks - finalStocks);\n        if (totalDeal > 0) {\n            const quoteCurrency = market.QuoteAsset;\n            const initQuoteAsset = preAssets.find((a) => a.Currency === quoteCurrency);\n            const finalQuoteAsset = nowAccount.find((a) => a.Currency === quoteCurrency);\n            const initQuoteAmount = initQuoteAsset ? initQuoteAsset.Amount : 0;\n            const finalQuoteAmount = finalQuoteAsset ? finalQuoteAsset.Amount : 0;\n            let avgPrice;\n            if (isBuy) {\n                const quoteCost = initQuoteAmount - finalQuoteAmount;\n                avgPrice = quoteCost > 0 ? quoteCost / totalDeal : 0;\n            }\n            else {\n                const quoteReceived = finalQuoteAmount - initQuoteAmount;\n                avgPrice = totalDeal > 0 ? quoteReceived / totalDeal : 0;\n            }\n            this._updateSpotPosition(symbol, market, totalDeal, avgPrice, isBuy);\n            const actionName = isBuy ? _T("买入", "Buy") : _T("卖出", "Sell");\n            Log(`[${symbol}] ${actionName}${_T("完成:", " completed:")} ${_N(totalDeal, market.AmountPrecision)}, ${_T("平均价:", "average price:")} ${_N(avgPrice, market.PricePrecision)}`);\n            let ret = {\n                amount: _N(totalDeal, market.AmountPrecision),\n                avgPrice: _N(avgPrice, market.PricePrecision),\n                position: this._getSpotPosition(symbol),\n            };\n            if (typeof (this.pfnAfterTrade) === \'function\') {\n                this.pfnAfterTrade({\n                    tradeResult: ret,\n                    initAssets: this.initAsset\n                });\n            }\n            return ret;\n        }\n        return null;\n    }\n    _waitForAccountUnfrozen(currency, minQty) {\n        let account = null;\n        let alreadyAlert = false;\n        while (true) {\n            const assets = this.getAssets();\n            account = assets;\n            let hasFrozen = false;\n            for (const asset of assets) {\n                if (asset.Currency == currency && asset.FrozenAmount && asset.FrozenAmount >= minQty) {\n                    hasFrozen = true;\n                    break;\n                }\n            }\n            if (!hasFrozen) {\n                break;\n            }\n            if (!alreadyAlert) {\n                alreadyAlert = true;\n                Log(_T(\'发现账户有冻结资产，等待解冻...\', \'Found frozen assets in account, waiting for unfreezing...\'), account);\n            }\n            Sleep(this.retryDelay);\n        }\n        return account;\n    }\n    _cancelPendingOrders(symbol, orderType) {\n        while (true) {\n            const orders = symbol ? this.e.GetOrders(symbol) : this.e.GetOrders();\n            if (orders) {\n                let processed = 0;\n                for (const order of orders) {\n                    if (typeof orderType === \'number\' && order.Type !== orderType) {\n                        continue;\n                    }\n                    this.e.CancelOrder(order.Id, order);\n                    processed++;\n                }\n                if (processed === 0) {\n                    break;\n                }\n            }\n            Sleep(this.retryDelay);\n        }\n    }\n    syncSpotPositions() {\n        let assets = _C(this.e.GetAssets);\n        let quoteCurrency = this.e.GetQuoteCurrency();\n        let positionsMap = new Map();\n        assets.forEach(a => {\n            let amount = a.Amount + a.FrozenAmount;\n            if (amount == 0 || a.Currency == quoteCurrency || a.Currency.indexOf("USD") != -1) {\n                return;\n            }\n            let symbol = a.Currency + "_" + quoteCurrency;\n            let market = this.getMarketInfo(symbol);\n            if (!market) {\n                return;\n            }\n            let prePosition = this.spotPositions.get(symbol);\n            let avgPrice = 0;\n            if (prePosition && amount <= prePosition.amount) {\n                avgPrice = prePosition.price;\n            }\n            else {\n                let ticker = this.getTicker(symbol);\n                if (prePosition) {\n                    avgPrice = (prePosition.amount * prePosition.price + (amount - prePosition.amount) * ticker.Last) / amount;\n                }\n                else {\n                    avgPrice = ticker.Last;\n                }\n            }\n            if (typeof (market.AmountPrecision) === \'number\' && typeof (market.PricePrecision) === \'number\') {\n                amount = _N(amount, market.AmountPrecision);\n                avgPrice = _N(avgPrice, market.PricePrecision);\n            }\n            if (typeof (market.MinQty) === \'number\' && Math.abs(amount) < market.MinQty) {\n                return;\n            }\n            positionsMap.set(symbol, { symbol: symbol, amount: amount, price: avgPrice, margin: _N(amount * avgPrice, 8) });\n        });\n        this.spotPositions = positionsMap;\n    }\n    getTicker(symbol) {\n        while (true) {\n            let ticker = this.e.GetTicker(symbol);\n            if (ticker) {\n                return ticker;\n            }\n            Log(`[${symbol}] ${_T("获取行情失败，重试中...", "Failed to get ticker, retrying...")}`);\n            Sleep(1000);\n        }\n    }\n    getEquity(currencies) {\n        if (this.e.GetName().indexOf("Futures_") == 0) {\n            return _C(this.e.GetAccount).Equity;\n        }\n        let assets = _C(this.e.GetAssets);\n        let quoteCurrency = this.e.GetQuoteCurrency();\n        let n = 0;\n        let tickers = null;\n        const currencySet = currencies ? new Set(currencies) : null;\n        assets.forEach(asset => {\n            if (asset.Currency == quoteCurrency) {\n                n += asset.Amount + asset.FrozenAmount;\n                return;\n            }\n            if (currencySet && !currencySet.has(asset.Currency)) {\n                return;\n            }\n            let symbol = asset.Currency + \'_\' + quoteCurrency;\n            if (!tickers && !this.isVirtual) {\n                tickers = this.e.GetTickers();\n            }\n            let ticker = null;\n            if (tickers) {\n                ticker = tickers.find(item => item.Symbol == symbol);\n            }\n            else {\n                let market = this.getMarketInfo(symbol);\n                if (!market) {\n                    return;\n                }\n                ticker = this.getTicker(symbol);\n            }\n            if (ticker) {\n                n += (asset.Amount + asset.FrozenAmount) * ticker.Last;\n            }\n        });\n        return _N(n, 8);\n    }\n    setAfterTradeCallback(fn) {\n        this.pfnAfterTrade = fn;\n        if (fn && this.initAsset === null) {\n            this.initAsset = this.getAssets();\n        }\n    }\n    getPosition(symbol) {\n        var _a;\n        if (this.isSyncSpotPositions && !this.isFutures) {\n            this.syncSpotPositions();\n        }\n        if (symbol) {\n            if (this.isFutures) {\n                return this._getFuturesPosition(symbol, false);\n            }\n            else {\n                return this._getSpotPosition(symbol);\n            }\n        }\n        const allPositions = [];\n        if (this.isFutures) {\n            const positions = this._retry(() => this._getFuturesPositions(false));\n            if (positions && positions.length > 0) {\n                const symbolPositions = new Map();\n                for (const pos of positions) {\n                    const symbol = pos.Symbol;\n                    if (!symbolPositions.has(symbol)) {\n                        symbolPositions.set(symbol, {\n                            longAmount: 0,\n                            shortAmount: 0,\n                            longValue: 0,\n                            shortValue: 0,\n                            margin: 0,\n                        });\n                    }\n                    const aggregated = symbolPositions.get(symbol);\n                    const isLong = pos.Type === PD_LONG || pos.Type === PD_LONG_YD;\n                    const amount = Math.abs(pos.Amount);\n                    if (isLong) {\n                        aggregated.longAmount += amount;\n                        aggregated.longValue += amount * pos.Price;\n                    }\n                    else {\n                        aggregated.shortAmount += amount;\n                        aggregated.shortValue += amount * pos.Price;\n                    }\n                    aggregated.margin += pos.Margin;\n                }\n                for (const [symbol, aggregated] of symbolPositions) {\n                    let netAmount = aggregated.longAmount - aggregated.shortAmount;\n                    let market = this.getMarketInfo(symbol);\n                    if (!this.isCTP && market && typeof (market.CtVal) === "number" && market.CtValCcy == market.BaseAsset && market.CtVal != 1) {\n                        netAmount = netAmount * market.CtVal;\n                    }\n                    if (Math.abs(netAmount) > 1e-8) {\n                        let avgPrice = 0;\n                        if (netAmount > 0) {\n                            avgPrice = aggregated.longAmount > 0 ? aggregated.longValue / aggregated.longAmount : 0;\n                        }\n                        else {\n                            avgPrice = aggregated.shortAmount > 0 ? aggregated.shortValue / aggregated.shortAmount : 0;\n                        }\n                        allPositions.push({\n                            symbol: symbol,\n                            amount: _N(netAmount, 8),\n                            margin: _N(aggregated.margin, 8),\n                            price: _N(avgPrice, (_a = market === null || market === void 0 ? void 0 : market.PricePrecision) !== null && _a !== void 0 ? _a : 8)\n                        });\n                    }\n                }\n            }\n        }\n        else {\n            for (const [symbol, position] of this.spotPositions) {\n                if (Math.abs(position.amount) > 1e-8) {\n                    allPositions.push({\n                        symbol: position.symbol,\n                        amount: position.amount,\n                        price: position.price,\n                        margin: position.price * Math.abs(position.amount)\n                    });\n                }\n            }\n        }\n        allPositions.sort((a, b) => {\n            if (a.symbol < b.symbol) {\n                return -1;\n            }\n            else if (a.symbol > b.symbol) {\n                return 1;\n            }\n            else {\n                return 0;\n            }\n        });\n        return allPositions;\n    }\n    getAssets() {\n        if (this.isCTP) {\n            let acc = this._retry(() => this.e.GetAccount());\n            return [{ Currency: "CNY", Amount: acc.Balance, FrozenAmount: acc.FrozenBalance }];\n        }\n        return this._retry(() => this.e.GetAssets());\n    }\n    isTrading(symbol) {\n        if (!this.isCTP) {\n            return true;\n        }\n        if (!this.e.IO("status")) {\n            return false;\n        }\n        return this._isCTPSymbolTrading(symbol);\n    }\n    buy(symbolOrAmount, amountOrComment, comment) {\n        let symbol;\n        let amount;\n        let tradeComment;\n        if (typeof symbolOrAmount === \'number\') {\n            symbol = this._getDefaultSymbol();\n            amount = symbolOrAmount;\n            tradeComment = amountOrComment;\n        }\n        else {\n            symbol = symbolOrAmount;\n            amount = amountOrComment;\n            tradeComment = comment;\n        }\n        if (this.isFutures) {\n            return this._futuresTrade(symbol, PD_LONG, amount, false, tradeComment);\n        }\n        else {\n            return this._executeSpot(symbol, PD_LONG, amount, tradeComment);\n        }\n    }\n    sell(symbolOrAmount, amountOrComment, comment) {\n        let symbol;\n        let amount;\n        let tradeComment;\n        if (typeof symbolOrAmount === \'number\') {\n            symbol = this._getDefaultSymbol();\n            amount = symbolOrAmount;\n            tradeComment = amountOrComment;\n        }\n        else {\n            symbol = symbolOrAmount;\n            amount = amountOrComment;\n            tradeComment = comment;\n        }\n        if (this.isFutures) {\n            return this._futuresTrade(symbol, PD_SHORT, amount, false, tradeComment);\n        }\n        else {\n            return this._executeSpot(symbol, PD_SHORT, amount, tradeComment);\n        }\n    }\n    getSymbol() {\n        return this._getDefaultSymbol();\n    }\n    close(arg1, arg2, arg3) {\n        let symbol;\n        let closeAmount;\n        let comment;\n        const isPercentOption = (value) => {\n            return value && typeof value === \'object\' && \'percent\' in value && typeof value.percent === \'number\';\n        };\n        const calculateCloseAmount = (position, amountOption) => {\n            if (amountOption === undefined) {\n                return Math.abs(position.amount);\n            }\n            else if (isPercentOption(amountOption)) {\n                return Math.abs(position.amount) * (amountOption.percent / 100);\n            }\n            else {\n                return Math.min(amountOption, Math.abs(position.amount));\n            }\n        };\n        if (typeof arg1 === \'string\' && (arg2 === undefined || typeof arg2 === \'string\')) {\n            symbol = arg1 || this._getDefaultSymbol();\n            const position = this.getPosition(symbol);\n            if (position.amount === 0) {\n                Log(`[${symbol}] ${_T("无持仓，无法平仓", "No position, cannot close")}`);\n                return null;\n            }\n            closeAmount = Math.abs(position.amount);\n            comment = arg2;\n        }\n        else if (typeof arg1 !== \'string\' && arg1 !== undefined) {\n            symbol = this._getDefaultSymbol();\n            const position = this.getPosition(symbol);\n            if (position.amount === 0) {\n                Log(`[${symbol}] ${_T("无持仓，无法平仓", "No position, cannot close")}`);\n                return null;\n            }\n            closeAmount = calculateCloseAmount(position, arg1);\n            comment = arg2;\n        }\n        else if (typeof arg1 === \'string\') {\n            symbol = arg1;\n            const position = this.getPosition(symbol);\n            if (position.amount === 0) {\n                Log(`[${symbol}] ${_T("无持仓，无法平仓", "No position, cannot close")}`);\n                return null;\n            }\n            closeAmount = calculateCloseAmount(position, arg2);\n            comment = arg3;\n        }\n        else {\n            symbol = this._getDefaultSymbol();\n            const position = this.getPosition(symbol);\n            if (position.amount === 0) {\n                Log(`[${symbol}] ${_T("无持仓，无法平仓", "No position, cannot close")}`);\n                return null;\n            }\n            closeAmount = Math.abs(position.amount);\n            comment = undefined;\n        }\n        const position = this.getPosition(symbol);\n        if (position.amount === 0) {\n            this._clearRolloverTimer();\n        }\n        closeAmount = Math.min(closeAmount, Math.abs(position.amount));\n        if (this.isFutures) {\n            return this._futuresTrade(symbol, (position.amount > 0 ? PD_LONG : PD_SHORT), closeAmount, true, comment);\n        }\n        else {\n            if (position.amount > 0) {\n                return this._executeSpot(symbol, PD_SHORT, closeAmount, comment);\n            }\n            else {\n                return this._executeSpot(symbol, PD_LONG, closeAmount, comment);\n            }\n        }\n    }\n}\nTrader.instances = new Map();'),task}"object"==typeof exports&&"object"==typeof module?(module.exports=VBacktest,module.exports.default=VBacktest):"function"==typeof define&&define.amd&&define([],()=>VBacktest);let __m=null;if("undefined"!=typeof self&&void 0!==self.onmessage){let isBacktestMode=!1,btCache={},canUseCache=!0,httpGet=function(url){let options=null,pos=url.indexOf("\n");-1!==pos&&(options=JSON.parse(url.slice(pos+1)),url=url.slice(0,pos));let needCache=!1,cacheKey=__m.process.getenv("cachePrefix")+url,cacheObj=btCache[cacheKey];if(canUseCache&&(needCache=-1==url.indexOf("event=feed"),needCache&&void 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  async function main() {\n                process.getenv("cachePrefix", "");\n                const originalLog = Log;\n                Log = function() {\n                    const args = Array.from(arguments);\n                    let prefix = process.getenv("cachePrefix");\n                    if (prefix && prefix.length > 0) {\n                        args.unshift("[" + prefix + "]");\n                    }\n                    originalLog.apply(this, args);\n                };\n                const action = ${JSON.stringify(action)};\n                const data = ${JSON.stringify(workflowData)};\n                const locals = Object.assign(new Function(), __locals); // avoid ObservableObject\n                locals.Trader = Trader;\n                if (data.workflowData) {\n                    data.workflowData.vars = __arguments;\n                    data.workflowData.locals = locals;\n                }\n                const { Container, Logger, WorkflowRunner, DynamicNodeParametersService, BinaryDataService, initWorkflowEngine } = WorkflowEngine; \n                await initWorkflowEngine();\n                if (action == "get_resource_locator_results") {\n                    try {\n                        data.locals = locals;\n                        notify(await Container.get(DynamicNodeParametersService).getResourceLocatorResults(data));\n                    } catch(e) {\n                        notify({error: e.message});\n                    }\n                    return;\n                } else if (action == "get_binary_data") {\n                    try {\n                        data.locals = locals;\n                        notify(await Container.get(BinaryDataService).getAsBufferByBinaryDataId(data));\n                    } catch(e) {\n                        notify({error: e.message});\n                    }\n                    return;\n                }\n                if (data.triggerToStartFrom && data.triggerToStartFrom.name) {\n                    originalLog("click", data.triggerToStartFrom.name);\n                }\n                const workflowRunner = Container.get(WorkflowRunner);\n                const deferredPromise = WorkflowEngine.createDeferredPromise();\n                try {\n                    notify(await workflowRunner.run(data, true, false, undefined, deferredPromise));\n                } catch(e) {\n                    notify({error: e.message});\n                    return;\n                }\n                await deferredPromise.promise;\n                originalLog("main exit success");\n            }\n                `,flowTask.Code[flowTask.Code.length-1][1],"main"];let flowResolver=null,flowRejecter=null;return __m.__notify__=function(obj){obj&&void 0!==obj.error?"function"==typeof flowRejecter&&flowRejecter(new Error(obj.error)):"function"==typeof flowResolver&&flowResolver(obj)},new Promise((resolve,reject)=>{flowResolver=resolve,flowRejecter=reject,__m.VTask(flowTask,tmpCache,httpGet,function(st){1==st.TaskStatus&&"run_workflow"==action&&realPostMessage({ret:st})})})}async function processFlowMessage(req,noNeedResponse){let resp={jsonrpc:req.jsonrpc,id:req.id,result:null};try{"run_workflow"==req.method||"get_resource_locator_results"==req.method||"get_binary_data"==req.method?(btCache={},resp.result=await runFlowTask(req.method,req.params[0])):"run_send_command"==req.method?resp.result=__m.SendCommand(req.params[0]):resp.error={code:-32601,message:"Method "+req.method+" not found"}}catch(e){resp.error={code:-32e3,message:e.message,data:e.stack}}if(void 0!==noNeedResponse&&noNeedResponse)return resp;realPostMessage(resp)}self.onmessage=async function(event){if(__m||(__m=await VBacktest()),event.data&&Array.isArray(event.data)&&event.data.length>1&&event.data[0]&&void 0!==event.data[0].Options){{let task=event.data[0];if(task.Code&&task.Code.length>0&&"flow"==task.Code[task.Code.length-1][2])return void(flowTask=patchTask(task));isBacktestMode=!0}var args=event.data,task=patchTask(args[0]),httpCache=args[1],lastProgress=0,lastSummary="";task&&task.Options&&task.Options.CDNServer&&(task.Options.DataServer=task.Options.CDNServer),__m.VTask(task,httpCache,httpGet,function(st){if(void 0!==st.TaskStatus&&1==st.TaskStatus&&(st.httpCache=httpCache),1==st.TaskStatus)self.postMessage({ret:st});else{var nowProgress=st.Progress.toFixed(1);nowProgress==lastProgress&&lastSummary===st.statusStr||(lastProgress=nowProgress,lastSummary=st.statusStr,self.postMessage({ret:st}))}})}else event&&event.data&&"2.0"==event.data.jsonrpc?processFlowMessage(event.data):console.log("unknown message",JSON.stringify(event.data))}}else{var fs=require("fs"),os=require("os"),crypto=require("crypto");function md5(text){return crypto.createHash("md5").update(text).digest("hex")}function fetchSync(url,option){const optionsStr="object"==typeof option?JSON.stringify(option):"null",sab=new SharedArrayBuffer(10320),int32=new Int32Array(sab),subWorker=new(0,require("worker_threads").Worker)(`\n    const { workerData } = require('worker_threads');\n    const int32 = new Int32Array(workerData);\n    const uint8Array = new Uint8Array(workerData);\n\n    function next(dataLen, hasMore) {\n        Atomics.store(int32, 2, dataLen);\n        Atomics.store(int32, 3, hasMore);\n        Atomics.store(int32, 0, 1);\n        Atomics.notify(int32, 0);\n        Atomics.wait(int32, 1, 0);\n        Atomics.store(int32, 1, 0);\n        Atomics.notify(int32, 1);\n    }\n\n    function postBuffer(bytes) {\n        if (bytes.length == 0) {\n            next(0, 0);\n            return;\n        }\n        \n        const bufLen = 10240;\n        let offset = 0;\n        \n        while (offset < bytes.length) {\n            const chunkSize = Math.min(bufLen, bytes.length - offset);\n            const hasMore = (offset + chunkSize < bytes.length) ? 1 : 0;\n            \n            for (let i = 0; i < chunkSize; i++) {\n                uint8Array[80 + i] = bytes[offset + i];  // data starts at offset 80\n            }\n            \n            next(chunkSize, hasMore);\n            offset += chunkSize;\n        }\n    }\n\n    // Parse charset from Content-Type header\n    function getCharset(contentType) {\n        if (!contentType) return 'utf-8';\n        const match = contentType.match(/charset=([^;\\s]+)/i);\n        if (match) {\n            let charset = match[1].toLowerCase().replace(/['"]/g, '');\n            // Common charset alias mapping\n            if (charset === 'gb2312' || charset === 'gbk' || charset === 'gb18030') {\n                return 'gbk';\n            }\n            return charset;\n        }\n        return 'utf-8';\n    }\n\n    // Write charset info to shared memory (offset 16-79)\n    function writeCharset(charset) {\n        const encoder = new TextEncoder();\n        const bytes = encoder.encode(charset);\n        uint8Array[16] = bytes.length;\n        for (let i = 0; i < bytes.length && i < 63; i++) {\n            uint8Array[17 + i] = bytes[i];\n        }\n    }\n\n    let url = '${url}';\n    let options = ${optionsStr};\n\n    fetch(url, options ? {method:"POST", body: JSON.stringify(options)} : {})\n        .then(async response => {\n            const contentType = response.headers.get('content-type') || '';\n            const charset = getCharset(contentType);\n            writeCharset(charset);\n            \n            // Get raw bytes, prevent browser from auto-decoding\n            const buffer = await response.arrayBuffer();\n            return new Uint8Array(buffer);\n        })\n        .then(bytes => postBuffer(bytes))\n        .catch(err => {\n            writeCharset('utf-8');\n            postBuffer(new Uint8Array(0));\n        });\n        `,{workerData:sab,eval:!0}),uint8Array=new Uint8Array(sab),chunks=[];let charset="utf-8",firstChunk=!0;for(;;){Atomics.wait(int32,0,0),Atomics.store(int32,0,0);const totalLen=Atomics.load(int32,2),hasMore=Atomics.load(int32,3);if(firstChunk){const charsetLen=uint8Array[16];charsetLen>0&&(charset=(new TextDecoder).decode(uint8Array.slice(17,17+charsetLen))),firstChunk=!1}if(totalLen>0){const chunk=new Uint8Array(totalLen);for(let i=0;i<totalLen;i++)chunk[i]=uint8Array[80+i];chunks.push(chunk)}if(Atomics.store(int32,1,1),Atomics.notify(int32,1),0==totalLen||0==hasMore)break}subWorker.terminate();const totalLength=chunks.reduce((sum,chunk)=>sum+chunk.length,0),combined=new Uint8Array(totalLength);let pos=0;for(const chunk of chunks)combined.set(chunk,pos),pos+=chunk.length;try{return new TextDecoder(charset).decode(combined)}catch(e){return new TextDecoder("utf-8").decode(combined)}}let httpGet=function(url){let options={},pos=url.indexOf("\n");-1!==pos&&(options=JSON.parse(url.slice(pos+1)),url=url.slice(0,pos));let tmpCache=os.tmpdir()+"/cache";fs.existsSync(tmpCache)||fs.mkdirSync(tmpCache);let cacheFile=tmpCache+"/botvs_kline_"+md5(__m.process.getenv("cachePrefix")+url);if(fs.existsSync(cacheFile))return fs.readFileSync(cacheFile,"utf-8");let body=fetchSync(url,options);return body&&-1!==body.indexOf(",")&&fs.writeFileSync(cacheFile,body,"utf-8"),body};if("undefined"!=typeof s){var _session=s;function notify(msgType,msg){var b=Buffer.from(msg),h=Buffer.allocUnsafe(8);h.writeUInt32BE(msgType,0),h.writeUInt32BE(b.length,4),_session.write(Buffer.concat([h,b]))}VBacktest().then(function(module){__m=module,module.VTask(patchTask(__cfg__),null,httpGet,function(st){notify(st.TaskStatus,JSON.stringify(st))},function(){try{_session.end()}catch(e){}})})}else{VBacktest().then(function(module){__m=module});var toUnix=function(s){var n=parseInt(new Date(s).getTime()/1e3);return-1==s.indexOf(" ")&&(n-=28800),n},fmtTime=function(date,fmt){void 0===fmt&&(fmt="yyyy-MM-dd hh:mm:ss");var y=date.getFullYear(),yy=(y%100).toString();1==yy.length&&(yy="0"+yy);var M="0"+(date.getMonth()+1);M=M.substring(M.length-2);var d="0"+date.getDate();d=d.substring(d.length-2);var h="0"+date.getHours();h=h.substring(h.length-2);var m="0"+date.getMinutes();m=m.substring(m.length-2);var s="0"+date.getSeconds();return s=s.substring(s.length-2),fmt.replace("yyyy",y).replace("MM",M).replace("dd",d).replace("hh",h).replace("mm",m).replace("ss",s).replace("yy",yy)},toHTML=function(data){var html="<table><tr><td>";for(var i in data.columns)html+="<td>"+data.columns[i]+"</td>";html+="</tr>";var rows=[];for(i=0;i<data.rows.length;i++){var rowSkip="";i>=5&&i<data.rows.length-5&&(i=data.rows.length-5,rowSkip="<tr><td>...</td>");for(var row="<tr><td>"+data.index[i]+"</td>",j=0;j<data.columns.length;j++)rowSkip.length>0&&(rowSkip+="<td>...</td>"),row+="<td>"+data.rows[i][j]+"</td>";rowSkip.length>0&&rows.push(rowSkip+"</tr>"),rows.push(row+"</tr>")}return html+=rows.join("")+"</table>",html+="<p>"+data.rows.length+" rows x "+data.columns.length+" columns<p>"},pdObj=function(data){var p=this;p.index=data.index,p.columns=data.columns,data.columns.forEach(function(c){p[c]=[]}),data.rows.forEach(function(row){row.forEach(function(f,idx){idx<data.columns.length&&p[data.columns[idx]].push(f)})}),p._toHtml=function(){return toHTML(data)}},htmlResult=function(s){var ret=JSON.parse(s),pnl=[],index=[];return ret.Snapshots.forEach(function(ele){var acc=ele[1][0];pnl.push([acc.PnL,100*acc.Utilization]),index.push(fmtTime(new Date(ele[0])))}),columns=["PnL","Utilization(%)"],new pdObj({columns:columns,index:index,rows:pnl})};void 0===global.talib&&(global.talib=__m.talib(),global.TA=__m.TA,global.plot=function(data,layout){if(void 0!==data.index&&void 0!==data.columns){var arr=[];data.columns.forEach(function(c){arr.push({name:c,x:data.index,y:data[c]})}),data=arr}if(Array.isArray(data)&&data.length>0&&"number"==typeof data[0]){var obj={x:[],y:data};data.forEach(function(ele,idx){obj.x.push(idx+1)}),data=[obj]}void 0===layout&&(layout={});var timestamp=(new Date).getTime(),output=["<div class='plotly-plot'>","<div id='notebook-plot-"+timestamp+"'></div>","<script>","function plot(){","Plotly.plot('notebook-plot-"+timestamp+"',",JSON.stringify(data),",",JSON.stringify(layout),",",JSON.stringify({displaylogo:!1}),");","}","if(window.Plotly){","plot();","}else{","var head = document.head || document.getElementsByTagName('head')[0];","var s = document.createElement('script');","s.charset='utf-8';","s.src = 'https://www.fmz.com/pkg/plotly-latest.min.js';","s.type = 'text/javascript';","s.async = false;","s.onreadystatechange = s.onload = plot;","head.appendChild(s);","}","<\/script>","</div>"].join("");$$.html(output)}),__ctx.exports.VCtx=function(obj){var periodToMs=function(s,def){var period=def;if(s.length<2)return period;var tmp=parseInt(s.slice(0,s.length-1)),c=s[s.length-1];return"d"==c?period=6e4*tmp*60*24:"m"==c?period=6e4*tmp:"h"==c&&(period=36e4*tmp),period},period=periodToMs(obj.period,36e5),basePeriod=36e5;"string"==typeof obj.basePeriod?basePeriod=periodToMs(obj.basePeriod,basePeriod):864e5==period?basePeriod=36e5:36e5==period?basePeriod=18e5:18e5==period?basePeriod=9e5:9e5==period?basePeriod=3e5:3e5==period&&(basePeriod=6e4);var exchanges=[],dicGet=function(obj,k,v){return void 0!==obj[k]?obj[k]:v},feeDef={Huobi:[150,200],OKX:[150,200],Binance:[150,200],Futures_BitMEX:[8,10],Futures_OKX:[30,30],Futures_HuobiDM:[30,30],Futures_CTP:[25,25],Futures_XTP:[30,130]},isCNY=!1;obj.exchanges.forEach(function(e){var arr=e.currency.toUpperCase().split("_");1==arr.length&&arr.push(-1!=e.eid.indexOf("CTP")?"CNY":"USD");var fee=[200,200],v=e.fee;if(fee=void 0!==v?[1e3*v[0],1e3*v[1]]:feeDef[e.eid]||[200,200],cfg={Balance:dicGet(e,"balance",1e4),BaseCurrency:arr[0],BasePeriod:basePeriod,DepthDeep:5,DepthAmount:20,FaultTolerant:0,PreBarLen:1e3,FeeDenominator:5,FeeMaker:fee[0],FeeTaker:fee[1],FeeMin:dicGet(e,"feeMin",0),Id:e.eid,Label:e.eid,QuoteCurrency:arr[1],SlipPoint:0,Stocks:dicGet(e,"stocks",3)},"Futures_CTP"==e.eid||"Futures_XTP"==e.eid)cfg.DepthDeep=1,isCNY=!0;else if("Futures_OKX"==e.eid||"Futures_HuobiDM"==e.eid);else if("Bitfinex"==e.eid||"Binance"==e.eid);else if("Futures_BitMEX"==e.eid){var bm=cfg.BasePeriod/6e4;15!=bm&&30!=bm||(cfg.BasePeriod=3e5)}else e.eid.indexOf("Futures");exchanges.push(cfg)}),options={DataServer:obj.dataServer||(isCNY?"https://q.youquant.com":"https://q.fmz.com"),MaxChartLogs:800,MaxProfitLogs:800,MaxRuntimeLogs:800,NetDelay:200,Period:period,RetFlags:189,UpdatePeriod:5e3},options.TimeBegin=toUnix(obj.start),options.TimeEnd=toUnix(obj.end);var snapshotPeriod=86400,testRange=options.TimeEnd-options.TimeBegin;testRange/3600<=2?snapshotPeriod=60:testRange/86400<=2?snapshotPeriod=300:testRange/86400<30&&(snapshotPeriod=3600),options.SnapshotPeriod=1e3*snapshotPeriod,options.RetFlags|=256;var ctx={};for(var k in __m.VTask(patchTask({Code:[["function main() {}",[],"main"]],Exchanges:exchanges,Options:options,Step:!0}),null,httpGet,function(st){},function(){},ctx),ctx.scope)"Date"!=k&&(global[k]=ctx.scope[k]);var realJoin=ctx.Join;return ctx.Join=function(report){var r=realJoin();return report?htmlResult(r):r},ctx}}}