Transaction b3d36f73257c321a847925dbb9cad1b84db3031fc8ad6f167f89e96d0baeb6dc

1 Input
  • 8ce00572199208925069952d3280a891920d4843a3b5035a5255c71e3d57d3c9:0
    OP_DATA_32(32) 4fa05487fc770cbd55b3b320d674bbdbd40db889ee6c2f628a909fcf14641c2e
    OP_CHECKSIG(172)
    OP_0(0)
    OP_IF(99)
    OP_DATA_3(3) ord
    OP_DATA_1(1) 
    OP_DATA_23(23) text/html;charset=utf-8
    OP_0(0)
    OP_PUSHDATA2(77) <!DOCTYPE html> <html lang="en"> <head> <meta charset="utf-8" /> </head> <style> html, body { margin: 0; padding: 0; } canvas { display: block; } #upload{ --width: 0px; --height: 0px; position: fixed; top: 0; left: 0; width: 100vw; height: 100vh; zIndex: 9; } .upload_inner{ position: relative; } #upload input{ opacity:1; width: var(--width); height: var(--height); border: 1px solid blue; position: relative; opacity: 0; } </style> <body> <main> </main>
    OP_PUSHDATA2(77) <div id="upload"> <input id="inputUpload" type="file"> </div> </div> <script> function e(e){"use strict";return new function e(t){let n="global"==t?window:this;n.canvas=document.createElement("canvas");let r=n.canvas.getContext("2d");n.width=100,n.height=100,n.canvas.width=n.width,n.canvas.height=n.height,"offscreen"!=t&&(document.body?document.body.appendChild(n.canvas):window.addEventListener("load",(function(){document.body.appendChild(n.canvas)}))),g(),n.MAGIC=161533525,n.RGB=0,n.HSV=1,n.H
    OP_PUSHDATA2(77) SB=1,n.CHORD=0,n.PIE=1,n.OPEN=2,n.RADIUS=1,n.CORNER=2,n.CORNERS=3,n.ROUND="round",n.SQUARE="butt",n.PROJECT="square",n.MITER="miter",n.BEVEL="bevel",n.CLOSE=1,n.BLEND="source-over",n.REMOVE="destination-out",n.ADD="lighter",n.DARKEST="darken",n.LIGHTEST="lighten",n.DIFFERENCE="difference",n.SUBTRACT="subtract",n.EXCLUSION="exclusion",n.MULTIPLY="multiply",n.SCREEN="screen",n.REPLACE="copy",n.OVERLAY="overlay",n.HARD_LIGHT="hard-light",n.SOFT_LIGHT="soft-light",n.DODGE="color-dodge",n.BURN="color-burn",n.NORMAL="nor
    OP_PUSHDATA2(77) mal",n.ITALIC="italic",n.BOLD="bold",n.BOLDITALIC="italic bold",n.CENTER="center",n.LEFT="left",n.RIGHT="right",n.TOP="top",n.BOTTOM="bottom",n.BASELINE="alphabetic",n.LANDSCAPE="landscape",n.PORTRAIT="portrait",n.ALT=18,n.BACKSPACE=8,n.CONTROL=17,n.DELETE=46,n.DOWN_ARROW=40,n.ENTER=13,n.ESCAPE=27,n.LEFT_ARROW=37,n.OPTION=18,n.RETURN=13,n.RIGHT_ARROW=39,n.SHIFT=16,n.TAB=9,n.UP_ARROW=38,n.HALF_PI=Math.PI/2,n.PI=Math.PI,n.QUARTER_PI=Math.PI/4,n.TAU=2*Math.PI,n.TWO_PI=2*Math.PI,n.THRESHOLD=1,n.GRAY=2,n.OPAQUE=3,n.INVE
    OP_PUSHDATA2(77) RT=4,n.POSTERIZE=5,n.DILATE=6,n.ERODE=7,n.BLUR=8,n.ARROW="default",n.CROSS="crosshair",n.HAND="pointer",n.MOVE="move",n.TEXT="text",n.VIDEO={video:!0,audio:!1},n.AUDIO={video:!1,audio:!0},n.SHR3=1,n.LCG=2,n.HARDWARE_FILTERS=!0,n.hint=function(e,t){n[e]=t},n.frameCount=0,n.mouseX=0,n.mouseY=0,n.pmouseX=0,n.pmouseY=0,n.mouseButton=null,n.keyIsPressed=!1,n.mouseIsPressed=!1,n.key=null,n.keyCode=null,n.pixels=null,n.accelerationX=0,n.accelerationY=0,n.accelerationZ=0,n.rotationX=0,n.rotationY=0,n.rotationZ=0,n.relRotat
    OP_PUSHDATA2(77) ionX=0,n.relRotationY=0,n.relRotationZ=0,n.pAccelerationX=0,n.pAccelerationY=0,n.pAccelerationZ=0,n.pRotationX=0,n.pRotationY=0,n.pRotationZ=0,n.pRelRotationX=0,n.pRelRotationY=0,n.pRelRotationZ=0,n.touches=[],n._styleCache=[{colorMode:n.RGB,noStroke:!1,noFill:!1,ellipseMode:n.CENTER,rectMode:n.CORNER,curveDetail:20,curveAlpha:0,textFont:"sans-serif",textSize:12,textLeading:12,textStyle:"normal"}],n._style=n._styleCache[n._styleCache.length-1],n._noLoop=!1,n._pixelDensity=1,n._frameRate=null,n._tint=null;let i=null
    OP_PUSHDATA2(77) ,o=!0,a=[],l=null,s=0,h={},c=0,u=null,f=null,d=null;Object.defineProperty(n,"deviceOrientation",{get:function(){return 90==Math.abs(window.orientation)?n.LANDSCAPE:n.PORTRAIT}}),Object.defineProperty(n,"windowWidth",{get:function(){return window.innerWidth}}),Object.defineProperty(n,"windowHeight",{get:function(){return window.innerHeight}}),Object.defineProperty(n,"drawingContext",{get:function(){return r}}),n.createCanvas=function(e,t){return n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t,g(),n.canvas},n
    OP_PUSHDATA2(77) .resizeCanvas=function(e,t){n.width=e,n.height=t,n.canvas.width=e,n.canvas.height=t},n.createGraphics=n.createImage=function(t,n){let r=new e("offscreen");return r.createCanvas(t,n),r.noLoop(),r},n.pixelDensity=function(e){return null==e||(n._pixelDensity=e,n.canvas.width=Math.ceil(n.width*e),n.canvas.height=Math.ceil(n.height*e),n.canvas.style.width=n.width+"px",n.canvas.style.height=n.height+"px",r.scale(n._pixelDensity,n._pixelDensity),g()),n._pixelDensity},n.map=function(e,t,n,r,i,o){let a=r+1*(e-t)/(n-t)*(i-r)
    OP_PUSHDATA2(77) ;return o?r<i?Math.min(Math.max(a,r),i):Math.min(Math.max(a,i),r):a},n.lerp=function(e,t,n){return e*(1-n)+t*n},n.constrain=function(e,t,n){return Math.min(Math.max(e,t),n)},n.dist=function(){return 4==arguments.length?Math.hypot(arguments[0]-arguments[2],arguments[1]-arguments[3]):Math.hypot(arguments[0]-arguments[3],arguments[1]-arguments[4],arguments[2]-arguments[5])},n.norm=function(e,t,r){return n.map(e,t,r,0,1)},n.sq=function(e){return e*e},n.fract=function(e){return e-Math.floor(e)},n.degrees=function(e){ret
    OP_PUSHDATA2(77) urn 180*e/Math.PI},n.radians=function(e){return e*Math.PI/180},n.abs=Math.abs,n.ceil=Math.ceil,n.exp=Math.exp,n.floor=Math.floor,n.log=Math.log,n.mag=Math.hypot,n.max=Math.max,n.min=Math.min,n.round=Math.round,n.sqrt=Math.sqrt,n.sin=Math.sin,n.cos=Math.cos,n.tan=Math.tan,n.asin=Math.asin,n.acos=Math.acos,n.atan=Math.atan,n.atan2=Math.atan2,n.Vector=function(e,t,r){let i=this;i.x=e||0,i.y=t||0,i.z=r||0;let o=null,a=null;function l(e,t,n){return null!=e.x?e:null!=t?{x:e,y:t,z:n||0}:{x:e,y:e,z:e}}function s(){null==a&
    OP_PUSHDATA2(77) &(a=i.x*i.x+i.y*i.y+i.z*i.z,o=Math.sqrt(a))}function h(){a=null,o=null}i.set=function(e,t,n){i.x=e||0,i.y=t||0,i.z=n||0},i.copy=function(){return new n.Vector(i.x,i.y,i.z)},i.add=function(){let e=l.apply(null,arguments);return i.x+=e.x,i.y+=e.y,i.z+=e.z,h(),i},i.rem=function(){let e=l.apply(null,arguments);return i.x%=e.x,i.y%=e.y,i.z%=e.z,h(),i},i.sub=function(){let e=l.apply(null,arguments);return i.x-=e.x,i.y-=e.y,i.z-=e.z,h(),i},i.mult=function(){let e=l.apply(null,arguments);return i.x*=e.x,i.y*=e.y,i.z*=e.z,h
    OP_PUSHDATA2(77) (),i},i.div=function(){let e=l.apply(null,arguments);return i.x/=e.x,i.y/=e.y,i.z/=e.z,h(),i},i.mag=function(){return s(),o},i.magSq=function(){return s(),a},i.dot=function(){let e=l.apply(null,arguments);return i.x*e.x+i.y*e.y+i.z*e.z},i.dist=function(){let e=l.apply(null,arguments),t=i.x-e.x,n=i.y-e.y,r=i.z-e.z;return Math.sqrt(t*t+n*n+r*r)},i.cross=function(){let e=l.apply(null,arguments),t=i.y*e.z-i.z*e.y,n=i.z*e.x-i.x*e.z,r=i.x*e.y-i.y*e.x;return i.x=t,i.y=n,i.z=r,h(),i},i.normalize=function(){s();let e=o;retu
    OP_PUSHDATA2(77) rn i.x/=e,i.y/=e,i.z/=e,o=1,a=1,i},i.limit=function(e){s();if(o>e){let t=e/o;i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e}return i},i.setMag=function(e){s();let t=e/o;return i.x*=t,i.y*=t,i.z*=t,o=e,a=e*e,i},i.heading=function(){return Math.atan2(i.y,i.x)},i.rotate=function(e){let t=Math.cos(e),n=Math.sin(e),r=i.x*t-i.y*n,o=i.x*n+i.y*t;return i.x=r,i.y=o,i},i.angleBetween=function(){let e=l.apply(null,arguments);const t=i.dot(e)/(i.mag()*e.mag());let n;return n=Math.acos(Math.min(1,Math.max(-1,t))),n*Math.sign(i.cross(e).z||1)},
    OP_PUSHDATA2(77) i.lerp=function(e,t){return i.x=i.x*(1-t)+e.x*t,i.y=i.y*(1-t)+e.y*t,i.z=i.z*(1-t)+e.z*t,h(),i},i.reflect=function(e){return e.normalize(),i.sub(e.mult(2*i.dot(e)))},i.array=function(){return[i.x,i.y,i.z]},i.equals=function(e,t){return null==t&&null==(t=Number.EPSILON)&&(t=0),Math.abs(e.x-i.x)<t&&Math.abs(e.y-i.y)<t&&Math.abs(e.z-i.z)<t},i.fromAngle=function(e,t){return null==t&&(t=1),o=t,a=t*t,i.x=t*Math.cos(e),i.y=t*Math.sin(e),i.z=0,i},i.fromAngles=function(e,t,n){null==n&&(n=1),o=n,a=n*n;const r=Math.cos(t),l=Ma
    OP_PUSHDATA2(77) th.sin(t),s=Math.cos(e),h=Math.sin(e);return i.x=n*h*l,i.y=-n*s,i.z=n*h*r,i},i.random2D=function(){return o=1,a=1,i.fromAngle(Math.random()*Math.PI*2)},i.random3D=function(){return o=1,a=1,i.fromAngles(Math.random()*Math.PI*2,Math.random()*Math.PI*2)},i.toString=function(){return`[${i.x}, ${i.y}, ${i.z}]`}},n.Vector.add=function(e,t){return new n.Vector(e.x+t.x,e.y+t.y,e.z+t.z)},n.Vector.rem=function(e,t){return new n.Vector(e.x%t.x,e.y%t.y,e.z%t.z)},n.Vector.sub=function(e,t){return new n.Vector(e.x-t.x,e.y-t.y,e.
    OP_PUSHDATA2(77) z-t.z)},n.Vector.mult=function(e,t){return null==t.x?new n.Vector(e.x*t,e.y*t,e.z*t):new n.Vector(e.x*t.x,e.y*t.y,e.z*t.z)},n.Vector.div=function(e,t){return null==t.x?new n.Vector(e.x/t,e.y/t,e.z/t):new n.Vector(e.x/t.x,e.y/t.y,e.z/t.z)},n.Vector.dist=function(e,t){return Math.hypot(e.x-t.x,e.y-t.y,e.z-t.z)},n.Vector.cross=function(e,t){return new n.Vector(e.y*t.z-e.z*t.y,e.z*t.x-e.x*t.z,e.x*t.y-e.y*t.x)},n.Vector.lerp=function(e,t,r){return new n.Vector(e.x*(1-r)+t.x*r,e.y=e.y*(1-r)+t.y*r,e.z=e.z*(1-r)+t.z*r)},n.
    OP_PUSHDATA2(77) Vector.equals=function(e,t,n){return e.equals(t,n)};for(let e of["fromAngle","fromAngles","random2D","random3D"])n.Vector[e]=function(t,r,i){return(new n.Vector)[e](t,r,i)};function x(e,t,n){let r,i,o,a,l,s,h,c,u;if(0==t)return[255*(r=n),255*(i=n),255*(o=n)];switch((a=e)>360&&(a=0),h=n*(1-t),c=n*(1-t*(s=(a/=60)-(l=~~a))),u=n*(1-t*(1-s)),l){case 0:r=n,i=u,o=h;break;case 1:r=c,i=n,o=h;break;case 2:r=h,i=n,o=u;break;case 3:r=h,i=c,o=n;break;case 4:r=u,i=h,o=n;break;default:r=n,i=h,o=c}return[255*r,255*i,255*o]}functio
    OP_PUSHDATA2(77) n g(){r.fillStyle="white",r.strokeStyle="black",r.lineCap="round",r.lineJoin="miter"}function p(e){if(0<=e&&e<2*Math.PI)return e;for(;e<0;)e+=2*Math.PI;for(;e>=Math.PI;)e-=2*Math.PI;return e}function m(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;let c=p(a),u=p(l);r.beginPath();for(let a=0;a<h+1;a++){let l=a/h,s=n.lerp(c,u,l),f=Math.cos(s)*i/2,d=Math.sin(s)*o/2;r[a?"lineTo":"moveTo"](e+f,t+d)}s==n.CHORD?r.closePath():s==n.PIE&&(r.lineTo(e,t),r.closePath()),n._style.noFill||r.fill(),n._style.noStrok
    OP_PUSHDATA2(77) e||r.stroke()}function b(e,t,i,o){n._style.noFill&&n._style.noStroke||(r.beginPath(),r.ellipse(e,t,i/2,o/2,0,0,2*Math.PI),n._style.noFill||r.fill(),n._style.noStroke||r.stroke())}function y(e,t,i,o,a,l,s,h){if(n._style.noFill&&n._style.noStroke)return;if(null==a)return function(e,t,i,o){n._style.noFill||r.fillRect(e,t,i,o),n._style.noStroke||r.strokeRect(e,t,i,o)}(e,t,i,o);if(null==l)return y(e,t,i,o,a,a,a,a);const c=Math.min(Math.abs(o),Math.abs(i))/2;a=Math.min(c,a),l=Math.min(c,l),h=Math.min(c,h),s=Math.min(c,s)
    OP_PUSHDATA2(77) ,r.beginPath(),r.moveTo(e+a,t),r.arcTo(e+i,t,e+i,t+o,l),r.arcTo(e+i,t+o,e,t+o,s),r.arcTo(e,t+o,e,t,h),r.arcTo(e,t,e+i,t,a),r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke()}function w(){a=[]}n.createVector=function(e,t,r){return new n.Vector(e,t,r)},n.curvePoint=function(e,t,n,r,i){const o=i*i*i,a=i*i;return e*(-.5*o+a-.5*i)+t*(1.5*o-2.5*a+1)+n*(-1.5*o+2*a+.5*i)+r*(.5*o-.5*a)},n.bezierPoint=function(e,t,n,r,i){const o=1-i;return Math.pow(o,3)*e+3*Math.pow(o,2)*i*t+3*o*Math.pow(i,2)*n+Math.pow(i,
    OP_PUSHDATA2(77) 3)*r},n.curveTangent=function(e,t,n,r,i){const o=i*i;return e*(-3*o/2+2*i-.5)+t*(9*o/2-5*i)+n*(-9*o/2+4*i+.5)+r*(3*o/2-i)},n.bezierTangent=function(e,t,n,r,i){const o=1-i;return 3*r*Math.pow(i,2)-3*n*Math.pow(i,2)+6*n*o*i-6*t*o*i+3*t*Math.pow(o,2)-3*e*Math.pow(o,2)},n.Color=function(e,t,n,r){let i=this;i.MAGIC=786698,i._r=e,i._g=t,i._b=n,i._a=r,i._h=0,i._s=0,i._v=0,i._hsvInferred=!1,i.setRed=function(e){i._r=e,i._hsvInferred=!1},i.setGreen=function(e){i._g=e,i._hsvInferred=!1},i.setBlue=function(e){i._b=e,i._hsvInf
    OP_PUSHDATA2(77) erred=!1},i.setAlpha=function(e){i._a=e/255,i._hsvInferred=!1},i._inferHSV=function(){i._hsvInferred||([i._h,i._s,i._v]=function(e,t,n){let r,i,o,a,l;return r=e<t?e<n?e:n:t<n?t:n,0==(l=100*(i=e>t?e>n?e:n:t>n?t:n)/255)?[o=0,a=0,l]:0==(a=100*(i-r)/i)?[o=0,a,l]:(o=i==e?0+60*(t-n)/(i-r):i==t?120+60*(n-e)/(i-r):240+60*(e-t)/(i-r),[o,a,l])}(i._r,i._g,i._b),i._hsvInferred=!0)},i.toString=function(){return`rgba(${Math.round(i._r)},${Math.round(i._g)},${Math.round(i._b)},${~~(1e3*i._a)/1e3})`}},n.colorMode=function(e){n._st
    OP_PUSHDATA2(77) yle.colorMode=e},n.color=function(){if(1==arguments.length&&786698==arguments[0].MAGIC)return arguments[0];if(n._style.colorMode==n.RGB){if(1==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],1);if(2==arguments.length)return new n.Color(arguments[0],arguments[0],arguments[0],arguments[1]/255);if(3==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],1);if(4==arguments.length)return new n.Color(arguments[0],arguments[1],arguments[2],arguments[3]/255)}else{if(1==argume
    OP_PUSHDATA2(77) nts.length)return new n.Color(...x(0,0,arguments[0]/100),1);if(2==arguments.length)return new n.Color(...x(0,0,arguments[0]/100),arguments[1]/255);if(3==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),1);if(4==arguments.length)return new n.Color(...x(arguments[0],arguments[1]/100,arguments[2]/100),arguments[3])}return null},n.red=function(e){return e._r},n.green=function(e){return e._g},n.blue=function(e){return e._b},n.alpha=function(e){return 255*e._a},n.hue=function(e){re
    OP_PUSHDATA2(77) turn e._inferHSV(),e._h},n.saturation=function(e){return e._inferHSV(),e._s},n.brightness=function(e){return e._inferHSV(),e._v},n.lightness=function(e){return 100*(.2126*e._r+.7152*e._g+.0722*e._b)/255},n.lerpColor=function(e,t,r){return n._style.colorMode==n.RGB?new n.Color(n.constrain(n.lerp(e._r,t._r,r),0,255),n.constrain(n.lerp(e._g,t._g,r),0,255),n.constrain(n.lerp(e._b,t._b,r),0,255),n.constrain(n.lerp(e._a,t._a,r),0,1)):(e._inferHSV(),t._inferHSV(),new n.Color(n.constrain(function(e,t,r){var i=[[Math.abs(t-
    OP_PUSHDATA2(77) e),n.map(r,0,1,e,t)],[Math.abs(t+360-e),n.map(r,0,1,e,t+360)],[Math.abs(t-360-e),n.map(r,0,1,e,t-360)]];return i.sort(((e,t)=>e[0]-t[0])),(i[0][1]+720)%360}(e._h,t._h,r),0,360),n.constrain(n.lerp(e._s,t._s,r),0,100),n.constrain(n.lerp(e._v,t._v,r),0,100),n.constrain(n.lerp(e._a,t._a,r),0,1)))},n.strokeWeight=function(e){n._style_noStroke=!1,r.lineWidth=e},n.stroke=function(){if(n._style.noStroke=!1,"string"==typeof arguments[0])return void(r.strokeStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._s
    OP_PUSHDATA2(77) tyle.noStroke=!0:r.strokeStyle=e},n.noStroke=function(){n._style.noStroke=!0},n.fill=function(){if(n._style.noFill=!1,"string"==typeof arguments[0])return void(r.fillStyle=arguments[0]);let e=n.color.apply(null,arguments);e._a<=0?n._style.noFill=!0:r.fillStyle=e},n.noFill=function(){n._style.noFill=!0},n.blendMode=function(e){r.globalCompositeOperation=e},n.strokeCap=function(e){r.lineCap=e},n.strokeJoin=function(e){r.lineJoin=e},n.ellipseMode=function(e){n._style.ellipseMode=e},n.rectMode=function(e){n._style.rect
    OP_PUSHDATA2(77) Mode=e},n.curveDetail=function(e){n._style.curveDetail=e},n.curveAlpha=function(e){n._style.curveAlpha=e},n.curveTightness=function(e){n._style.curveAlpha=e},n.clear=function(){r.clearRect(0,0,n.width,n.height)},n.background=function(){if(arguments[0]&&arguments[0].MAGIC==n.MAGIC)return n.image(arguments[0],0,0,n.width,n.height);r.save(),r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity),r.fillStyle="string"==typeof arguments[0]?arguments[0]:n.color(...Array.from(arguments)),r.fillRect(0,0,n.width,n.height
    OP_PUSHDATA2(77) ),r.restore()},n.line=function(e,t,i,o){n._style.noStroke||(r.beginPath(),r.moveTo(e,t),r.lineTo(i,o),r.stroke())},n.arc=function(e,t,r,i,o,a,l,s){if(o==a)return n.ellipse(e,t,r,i);null==s&&(s=25),null==l&&(l=n.PIE),n._style.ellipseMode==n.CENTER?m(e,t,r,i,o,a,l,s):n._style.ellipseMode==n.RADIUS?m(e,t,2*r,2*i,o,a,l,s):n._style.ellipseMode==n.CORNER?m(e+r/2,t+i/2,r,i,o,a,l,s):n._style.ellipseMode==n.CORNERS&&m((e+r)/2,(t+i)/2,r-e,i-t,o,a,l,s)},n.ellipse=function(e,t,r,i){null==i&&(i=r),n._style.ellipseMode==n.CENTER
    OP_PUSHDATA2(77) ?b(e,t,r,i):n._style.ellipseMode==n.RADIUS?b(e,t,2*r,2*i):n._style.ellipseMode==n.CORNER?b(e+r/2,t+i/2,r,i):n._style.ellipseMode==n.CORNERS&&b((e+r)/2,(t+i)/2,r-e,i-t)},n.circle=function(e,t,r){return n.ellipse(e,t,r,r)},n.point=function(e,t){e.x&&(t=e.y,e=e.x),r.beginPath(),r.ellipse(e,t,.4,.4,0,0,2*Math.PI),r.stroke()},n.rect=function(e,t,r,i,o,a,l,s){n._style.rectMode==n.CENTER?y(e-r/2,t-i/2,r,i,o,a,l,s):n._style.rectMode==n.RADIUS?y(e-r,t-i,2*r,2*i,o,a,l,s):n._style.rectMode==n.CORNER?y(e,t,r,i,o,a,l,s):n._styl
    OP_PUSHDATA2(77) e.rectMode==n.CORNERS&&y(e,t,r-e,i-t,o,a,l,s)},n.square=function(e,t,r,i,o,a,l){return n.rect(e,t,r,r,i,o,a,l)},n.beginShape=function(){w(),r.beginPath(),o=!0},n.beginContour=function(){r.closePath(),w(),o=!0},n.endContour=function(){w(),o=!0},n.vertex=function(e,t){w(),o?r.moveTo(e,t):r.lineTo(e,t),o=!1},n.bezierVertex=function(e,t,n,i,o,a){w(),r.bezierCurveTo(e,t,n,i,o,a)},n.quadraticVertex=function(e,t,n,i){w(),r.quadraticCurveTo(e,t,n,i)},n.bezier=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.bezierV
    OP_PUSHDATA2(77) ertex(r,i,o,a,l,s),n.endShape()},n.triangle=function(e,t,r,i,o,a){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.endShape(n.CLOSE)},n.quad=function(e,t,r,i,o,a,l,s){n.beginShape(),n.vertex(e,t),n.vertex(r,i),n.vertex(o,a),n.vertex(l,s),n.endShape(n.CLOSE)},n.endShape=function(e){w(),e&&r.closePath(),n._style.noFill||r.fill(),n._style.noStroke||r.stroke(),n._style.noFill&&n._style.noStroke&&(r.save(),r.fillStyle="none",r.fill(),r.restore())},n.curveVertex=function(e,t){if(a.push([e,t]),a.length<4)return;
    OP_PUSHDATA2(77) let i=function(e,t,n,r,i,o,a,l,s,h){function c(e,t,n,r,i,o){let a=Math.pow(r-t,2)+Math.pow(i-n,2);return Math.pow(a,.5*o)+e}let u=[],f=c(0,e,t,n,r,h),d=c(f,n,r,i,o,h),x=c(d,i,o,a,l,h);for(let h=0;h<s;h++){let c=f+h/(s-1)*(d-f),g=[(f-c)/(f-0),(c-0)/(f-0),(d-c)/(d-f),(c-f)/(d-f),(x-c)/(x-d),(c-d)/(x-d),(d-c)/(d-0),(c-0)/(d-0),(x-c)/(x-f),(c-f)/(x-f)];for(let e=0;e<g.length;e+=2)isNaN(g[e])&&(g[e]=1,g[e+1]=0),isFinite(g[e])||(g[e]>0?(g[e]=1,g[e+1]=0):(g[e]=0,g[e+1]=1));let p=e*g[0]+n*g[1],m=t*g[0]+r*g[1],b=n*g[2]+i*g[
    OP_PUSHDATA2(77) 3],y=r*g[2]+o*g[3],w=i*g[4]+a*g[5],v=o*g[4]+l*g[5],z=p*g[6]+b*g[7],V=m*g[6]+y*g[7],_=b*g[8]+w*g[9],M=y*g[8]+v*g[9],E=z*g[2]+_*g[3],S=V*g[2]+M*g[3];u.push([E,S])}return u}(...a[a.length-4],...a[a.length-3],...a[a.length-2],...a[a.length-1],n._style.curveDetail,n._style.curveAlpha);for(let e=0;e<i.length;e++)o?r.moveTo(...i[e]):r.lineTo(...i[e]),o=!1},n.curve=function(e,t,r,i,o,a,l,s){n.beginShape(),n.curveVertex(e,t),n.curveVertex(r,i),n.curveVertex(o,a),n.curveVertex(l,s),n.endShape()},n.translate=function(e,t){r.t
    OP_PUSHDATA2(77) ranslate(e,t)},n.rotate=function(e){r.rotate(e)},n.scale=function(e,t){null==t&&(t=e),r.scale(e,t)},n.applyMatrix=function(e,t,n,i,o,a){r.transform(e,t,n,i,o,a)},n.shearX=function(e){r.transform(1,0,Math.tan(e),1,0,0)},n.shearY=function(e){r.transform(1,Math.tan(e),0,1,0,0)},n.resetMatrix=function(){r.resetTransform(),r.scale(n._pixelDensity,n._pixelDensity)},n.pushMatrix=n.push=function(){n._styleCache.push({...n._style}),n._style=n._styleCache[n._styleCache.length-1],r.save()},n.popMatrix=n.pop=function(){n._styl
    OP_PUSHDATA2(77) eCache.length-1&&(n._styleCache.pop(),n._style=n._styleCache[n._styleCache.length-1],r.restore())},n.image=function(e,t,i,o,a,l,s,h,c){let u=e.MAGIC==n.MAGIC?e.canvas:e;function d(){if(e.MAGIC!=n.MAGIC||!n._tint)return;let t=e.canvas.getContext("2d");t.save(),t.resetTransform(),t.clearRect(0,0,t.canvas.width,t.canvas.height),t.drawImage(f.canvas,0,0),t.restore()}return e.MAGIC==n.MAGIC&&null!=n._tint&&(function(e,t){null==f&&(f=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas
    OP_PUSHDATA2(77) .height),f.canvas.width==e&&f.canvas.height==t||(f.canvas.width=e,f.canvas.height=t)}(e.canvas.width,e.canvas.height),f.drawImage(e.canvas,0,0),e.tinted(n._tint)),o?l?(h||(h=u.width),c||(c=u.height),r.drawImage(u,l,s,h,c,t,i,o,a),void d()):(r.drawImage(u,t,i,o,a),void d()):(e.MAGIC==n.MAGIC||e.width?r.drawImage(u,t,i,e.width,e.height):r.drawImage(u,t,i,e.videoWidth,e.videoHeight),void d())},n.loadPixels=function(){l=r.getImageData(0,0,n.canvas.width,n.canvas.height),n.pixels=l.data},n.updatePixels=function(){null!=
    OP_PUSHDATA2(77) l&&r.putImageData(l,0,0)},n.loadImage=function(e,t){s++;let r=n.createGraphics(100,100),i=r.canvas.getContext("2d"),o=new Image;return o.src=e,o.crossOrigin="Anonymous",o.onload=function(){i.canvas.width=o.width,i.canvas.height=o.height,r.width=o.width,r.height=o.height,i.drawImage(o,0,0),s--,t&&t(r)},r};let v={};function z(e,t){null==u&&(u=document.createElement("canvas").getContext("2d")),null==e&&(e=r.canvas.width,t=r.canvas.height),u.canvas.width==e&&u.canvas.height==t||(u.canvas.width=e,u.canvas.height=t)}func
    OP_PUSHDATA2(77) tion V(){let e=r.canvas.width*r.canvas.height*4;null!=d&&e==d.length||(d=new Uint8ClampedArray(e))}function _(e){u.clearRect(0,0,u.canvas.width,u.canvas.height),u.filter=e,u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()}v[n.THRESHOLD]=function(e,t){null==t?t=127.5:t*=255;for(let n=0;n<e.length;n+=4){const r=.2126*e[n]+.7152*e[n+1]+.0722*e[n+2];e[n]=e[n+1]=e[n+2]=r>=t?255:0}},v[n.GRAY]=function(e){for(let t=0;t<e.length;t+=4)
    OP_PUSHDATA2(77) {const n=.2126*e[t]+.7152*e[t+1]+.0722*e[t+2];e[t]=e[t+1]=e[t+2]=n}},v[n.OPAQUE]=function(e){for(let t=0;t<e.length;t+=4)e[t+3]=255},v[n.INVERT]=function(e){for(let t=0;t<e.length;t+=4)e[t]=255-e[t],e[t+1]=255-e[t+1],e[t+2]=255-e[t+2]},v[n.POSTERIZE]=function(e,t){let n=t-1;for(let r=0;r<e.length;r+=4)e[r]=255*(e[r]*t>>8)/n,e[r+1]=255*(e[r+1]*t>>8)/n,e[r+2]=255*(e[r+2]*t>>8)/n},v[n.DILATE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-
    OP_PUSHDATA2(77) 1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.max(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.ERODE]=function(e){V(),d.set(e);let[t,n]=[r.canvas.width,r.canvas.height];for(let r=0;r<n;r++)for(let i=0;i<t;i++){let o=4*Math.max(i-1,0),a=4*Math.min(i+1,t-1),l=4*Math.max(r-1,0)*t,s=4*Math.min(r+1,n-1)*t,h=4*r*t,c=4*i;for(let t=0;t<4;t++){let n=t+l,r=t+s,i=t+h;e[h+c+t]=Math.min(d[n+c],d[i+o],d[i+c],d[i+a],d[r+c])}}},v[n.BLUR
    OP_PUSHDATA2(77) ]=function(e,t){t=t||1,t=Math.floor(t*n._pixelDensity),V(),d.set(e);let i=2*t+1,o=function(e){let n=new Float32Array(e),r=.3*t+.8,i=r*r*2;for(let t=0;t<e;t++){let o=t-e/2,a=Math.exp(-o*o/i)/(2.5066282746*r);n[t]=a}return n}(i),[a,l]=[r.canvas.width,r.canvas.height];for(let n=0;n<l;n++)for(let r=0;r<a;r++){let l=0,s=0,h=0,c=0;for(let e=0;e<i;e++){let i=4*(n*a+Math.min(Math.max(r-t+e,0),a-1));l+=d[i]*o[e],s+=d[i+1]*o[e],h+=d[i+2]*o[e],c+=d[i+3]*o[e]}let u=4*(n*a+r);e[u]=l,e[u+1]=s,e[u+2]=h,e[u+3]=c}d.set(e);for(let n
    OP_PUSHDATA2(77) =0;n<l;n++)for(let r=0;r<a;r++){let s=0,h=0,c=0,u=0;for(let e=0;e<i;e++){let i=4*(Math.min(Math.max(n-t+e,0),l-1)*a+r);s+=d[i]*o[e],h+=d[i+1]*o[e],c+=d[i+2]*o[e],u+=d[i+3]*o[e]}let f=4*(n*a+r);e[f]=s,e[f+1]=h,e[f+2]=c,e[f+3]=u}},n.filter=function(e,t){if(n.HARDWARE_FILTERS&&null!=r.filter)if(z(),e==n.THRESHOLD){null==t&&(t=.5),t=Math.max(t,1e-5),_(`saturate(0%) brightness(${Math.floor(.5/t*100)}%) contrast(1000000%)`)}else if(e==n.GRAY)_("saturate(0%)");else if(e==n.OPAQUE)u.fillStyle="black",u.fillRect(0,0,u.canva
    OP_PUSHDATA2(77) s.width,u.canvas.height),u.drawImage(r.canvas,0,0),r.save(),r.resetTransform(),r.drawImage(u.canvas,0,0),r.restore();else if(e==n.INVERT)_("invert(100%)");else if(e==n.BLUR)_(`blur(${Math.ceil(t*n._pixelDensity/1)||1}px)`);else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}else{let n=r.getImageData(0,0,r.canvas.width,r.canvas.height);v[e](n.data,t),r.putImageData(n,0,0)}},n.resize=function(e,t){z(),u.drawImage(r.canvas,0,0),n.width=e,n.height=t,r.canvas.width=e*n._pix
    OP_PUSHDATA2(77) elDensity,r.canvas.height=t*n._pixelDensity,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0,r.canvas.width,r.canvas.height),r.restore()},n.get=function(e,t,i,o){if(null!=e&&null==i){let i=r.getImageData(e,t,1,1).data;return new n.Color(i[0],i[1],i[2],i[3]/255)}e=e||0,t=t||0,i=i||n.width,o=o||n.height;let a=n.createGraphics(i,o);a.pixelDensity(n._pixelDensity);let l=r.getImageData(e*n._pixelDensity,t*n._pixelDensity,i*n._pixelDensity,o*n._pixelDensity);return a.ca
    OP_PUSHDATA2(77) nvas.getContext("2d").putImageData(l,0,0),a},n.set=function(e,t,i){if(i.MAGIC==n.MAGIC){let r=n._tint;return n._tint=null,n.image(i,e,t),void(n._tint=r)}let o=4*(t*n._pixelDensity*r.canvas.width+e*n._pixelDensity);n.pixels[o]=i._r,n.pixels[o+1]=i._g,n.pixels[o+2]=i._b,n.pixels[o+3]=255*i._a},n.tinted=function(){let e=n.color(...Array.from(arguments)),t=e._a;e._a=1,z(),u.clearRect(0,0,u.canvas.width,u.canvas.height),u.fillStyle=e,u.fillRect(0,0,u.canvas.width,u.canvas.height),u.globalCompositeOperation="multiply",u.
    OP_PUSHDATA2(77) drawImage(r.canvas,0,0),u.globalCompositeOperation="source-over",r.save(),r.resetTransform();let i=r.globalCompositeOperation;r.globalCompositeOperation="source-in",r.drawImage(u.canvas,0,0),r.globalCompositeOperation=i,r.restore(),u.globalAlpha=t,u.clearRect(0,0,u.canvas.width,u.canvas.height),u.drawImage(r.canvas,0,0),u.globalAlpha=1,r.save(),r.resetTransform(),r.clearRect(0,0,r.canvas.width,r.canvas.height),r.drawImage(u.canvas,0,0),r.restore()},n.tint=function(){n._tint=n.color(...Array.from(arguments))},n.noTi
    OP_PUSHDATA2(77) nt=function(){n._tint=null},n.mask=function(e){r.save(),r.resetTransform();let t=r.globalCompositeOperation;r.globalCompositeOperation="destination-in",r.drawImage(e.canvas,0,0),r.globalCompositeOperation=t,r.restore()},n.clearTemporaryBuffers=function(){u=null,f=null,d=null},n.save=function(e,t){e=e||"untitled",t=t||"png";var n=document.createElement("a");n.innerHTML="[Download]",n.addEventListener("click",(function(){this.href=r.canvas.toDataURL(),this.download=e+"."+t}),!1),document.body.appendChild(n),n.click()
    OP_PUSHDATA2(77) ,document.body.removeChild(n)},n.saveCanvas=function(e,t,r){if(e.MAGIC==n.MAGIC){r&&e.save(t,r);let n=t.split(".");return e.save(n.slice(0,-1).join("."),n[n.length-1])}if(t)return n.save(e,t);let i=e.split(".");return n.save(i.slice(0,-1).join("."),i[i.length-1])},n.loadFont=function(e){let t=e.split("/"),n=t[t.length-1].split(".")[0].replace(" ",""),r=`@font-face {\n font-family: '${n}';\n src: url('${e}');\n }`;const i=document.createElement("style");return i.textContent=r,document.head.append(
    OP_PUSHDATA2(77) i),n},n.textFont=function(e){n._style.textFont=e},n.textSize=function(e){n._style.textSize=e,n._style.textLeading=e},n.textLeading=function(e){n._style.textLeading=e},n.textStyle=function(e){n._style.textStyle=e},n.textAlign=function(e,t){r.textAlign=e,t&&(r.textBaseline=t==n.CENTER?"middle":t)},n.text=function(e,t,i,o){if(!e)return;if(e=e.toString(),n._style.noFill&&n._style.noStroke)return;r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`;let a=e.split("\n");for(let e=0;e<a.length;e++)n._
    OP_PUSHDATA2(77) style.noFill||r.fillText(a[e],t,i,o),n._style.noStroke||r.strokeText(a[e],t,i,o),i+=n._style.textLeading},n.textWidth=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).width},n.textAscent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoundingBoxAscent},n.textDescent=function(e){return r.font=`${n._style.textStyle} ${n._style.textSize}px ${n._style.textFont}`,r.measureText(e).actualBoun
    OP_PUSHDATA2(77) dingBoxDescent};var M,E=4,S=.5,R=function(e){return.5*(1-Math.cos(e*Math.PI))};n.noise=function(e,t,n){if(t=t||0,n=n||0,null==M){M=new Array(4096);for(var r=0;r<4096;r++)M[r]=Math.random()}e<0&&(e=-e),t<0&&(t=-t),n<0&&(n=-n);for(var i,o,a,l,s,h=Math.floor(e),c=Math.floor(t),u=Math.floor(n),f=e-h,d=t-c,x=n-u,g=0,p=.5,m=0;m<E;m++){var b=h+(c<<4)+(u<<8);i=R(f),o=R(d),a=M[4095&b],a+=i*(M[b+1&4095]-a),l=M[b+16&4095],a+=o*((l+=i*(M[b+16+1&4095]-l))-a),l=M[4095&(b+=256)],l+=i*(M[b+1&4095]-l),s=M[b+16&4095],l+=o*((s+=i*(M[
    OP_PUSHDATA2(77) b+16+1&4095]-s))-l),g+=(a+=R(x)*(l-a))*p,p*=S,h<<=1,c<<=1,u<<=1,(f*=2)>=1&&(h++,f--),(d*=2)>=1&&(c++,d--),(x*=2)>=1&&(u++,x--)}return g},n.noiseDetail=function(e,t){e>0&&(E=e),t>0&&(S=t)};const I=function(){let e,t,n=4294967295;return{setSeed(r){e=t=(null==r?Math.random()*n:r)>>>0},getSeed:()=>t,rand:()=>(e^=e<<17,e^=e>>13,((e^=e<<5)>>>0)/n)}};let C=I();C.setSeed(),n.noiseSeed=function(e){let t=null==e?4294967295*Math.random():e;M||(M=new Float32Array(4096));for(var n=0;n<4096;n++)t^=t<<17,t^=t>>13,t^=t<<5,M[n]=(t>
    OP_PUSHDATA2(77) >>0)/4294967295},n.randomSeed=function(e){C.setSeed(e)},n.random=function(e,t){return null==e?C.rand():"number"==typeof e?null!=t?C.rand()*(t-e)+e:C.rand()*e:e[~~(e.length*C.rand())]},n.randomGenerator=function(e){e==n.LCG?C=function(){const e=4294967296;let t,n;return{setSeed(r){n=t=(null==r?Math.random()*e:r)>>>0},getSeed:()=>t,rand:()=>(n=(1664525*n+1013904223)%e)/e}}():e==n.SHR3&&(C=I()),C.setSeed()};var T=new function(){var e,t,n,r=new Array(128),i=new Array(256),o=new Array(128),a=new Array(128),l=new Array(2
    OP_PUSHDATA2(77) 56),s=new Array(256),h=function(){return 4294967296*C.rand()-2147483648},c=function(){return.5+2.328306e-10*(h()<<0)};this.SHR3=h,this.UNI=c,this.RNOR=function(){return n=h(),e=127&n,Math.abs(n)<r[e]?n*o[e]:function(){for(var t,i,l,s,u=3.44262;;){if(t=n*o[e],0==e){do{l=c(),s=c(),t=.2904764*-Math.log(l),i=-Math.log(s)}while(i+i<t*t);return n>0?u+t:-u-t}if(a[e]+c()*(a[e-1]-a[e])<Math.exp(-.5*t*t))return t;if(n=h(),e=127&n,Math.abs(n)<r[e])return n*o[e]}}()},this.REXP=function(){return(t=h()>>>0)<r[e=255&t]?t*l[e]:fun
    OP_PUSHDATA2(77) ction(){for(var n;;){if(0==e)return 7.69711-Math.log(c());if(n=t*l[e],s[e]+c()*(s[e-1]-s[e])<Math.exp(-n))return n;if((t=h())<i[e=255&t])return t*l[e]}}()},this.zigset=function(){var e,t,n=2147483648,h=4294967296,c=3.442619855899,u=c,f=.00991256303526217,d=7.697117470131487,x=d,g=.003949659822581572;for(e=f/Math.exp(-.5*c*c),r[0]=Math.floor(c/e*n),r[1]=0,o[0]=e/n,o[127]=c/n,a[0]=1,a[127]=Math.exp(-.5*c*c),t=126;t>=1;t--)c=Math.sqrt(-2*Math.log(f/c+Math.exp(-.5*c*c))),r[t+1]=Math.floor(c/u*n),u=c,a[t]=Math.exp(-.5*c
    OP_PUSHDATA2(77) *c),o[t]=c/n;for(e=g/Math.exp(-d),i[0]=Math.floor(d/e*h),i[1]=0,l[0]=e/h,l[255]=d/h,s[0]=1,s[255]=Math.exp(-d),t=254;t>=1;t--)d=-Math.log(g/d+Math.exp(-d)),i[t+1]=Math.floor(d/x*h),x=d,s[t]=Math.exp(-d),l[t]=d/h}};T.hasInit=!1,n.randomGaussian=function(e,t){return T.hasInit||(T.zigset(),T.hasInit=!0),T.RNOR()*t+e},n.randomExponential=function(){return T.hasInit||(T.zigset(),T.hasInit=!0),T.REXP()},n.print=console.log,n.cursor=function(e,t,r){let i="";e.includes(".")&&(e=`url("${e}")`,i=", auto"),null!=t&&(e+=" "+t+
    OP_PUSHDATA2(77) " "+r),n.canvas.style.cursor=e+i},n.noCursor=function(){n.canvas.style.cursor="none"},n.createCapture=function(e){var t=document.createElement("video");return t.playsinline="playsinline",t.autoplay="autoplay",navigator.mediaDevices.getUserMedia(e).then((function(e){t.srcObject=e})),t.style.position="absolute",t.style.opacity=1e-5,t.style.zIndex=-1e3,document.body.appendChild(t),t};let A=["setup","draw","preload","mouseMoved","mousePressed","mouseReleased","mouseDragged","mouseClicked","keyPressed","keyReleased","ke
    OP_PUSHDATA2(77) yTyped","touchStarted","touchEnded"];for(let e of A){let t="_"+e+"Fn";n[t]=function(){},n[t].isPlaceHolder=!0,n[e]?n[t]=n[e]:Object.defineProperty(n,e,{set:function(e){n[t]=e}})}function D(){n._noLoop||(i=null==n._frameRate?requestAnimationFrame(D):setTimeout(D,1e3/n._frameRate)),w(),o=!0,n.push(),n._drawFn(),n.pop(),++n.frameCount}function k(e){const t=n.canvas.getBoundingClientRect(),r=n.canvas.scrollWidth/n.width||1,i=n.canvas.scrollHeight/n.height||1;return{x:(e.clientX-t.left)/r,y:(e.clientY-t.top)/i,id:e.iden
    OP_PUSHDATA2(77) tifier}}function L(){return n._touchStarted.isPlaceHolder&&n._touchMoved.isPlaceHolder&&n._touchEnded.isPlaceHolder}n.noLoop=function(){n._noLoop=!0,i=null},n.loop=function(){n._noLoop=!1,null==i&&D()},n.redraw=function(){D()},n.frameRate=function(e){n._frameRate=e},setTimeout((function(){n._preloadFn(),c=window.performance.now(),function e(){if(s>0)return setTimeout(e,10);n._setupFn(),D()}()}),1),n.canvas.onmousemove=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsP
    OP_PUSHDATA2(77) ressed?n._mouseDraggedFn(e):n._mouseMovedFn(e)},n.canvas.onmousedown=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!0,n.mouseButton=[n.LEFT,n.CENTER,n.RIGHT][e.button],n._mousePressedFn(e)},n.canvas.onmouseup=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed=!1,n._mouseReleasedFn(e)},n.canvas.onclick=function(e){n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=e.offsetX,n.mouseY=e.offsetY,n.mouseIsPressed
    OP_PUSHDATA2(77) =!0,n._mouseClickedFn(e),n.mouseIsPressed=!1},window.addEventListener("keydown",(function(e){n.keyIsPressed=!0,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!0,n._keyPressedFn(e),1==e.key.length&&n._keyTypedFn(e)})),window.addEventListener("keyup",(function(e){n.keyIsPressed=!1,n.key=e.key,n.keyCode=e.keyCode,h[n.keyCode]=!1,n._keyReleasedFn(e)})),n.keyIsDown=function(e){return!!h[e]},n.canvas.ontouchstart=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mo
    OP_PUSHDATA2(77) useY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mousePressedFn(e)||e.preventDefault()),n._touchStartedFn(e)||e.preventDefault()},n.canvas.ontouchmove=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!0,n.mouseButton=n.LEFT,n._mouseDraggedFn(e)||e.preventDefault()),n._touchMovedFn(e)||e.preventDefault()},n.canvas.ontouchend=n.canvas.ontouchcancel=function(e){n.touches=e.touches.map(k),L()&&(n.pmouseX=n.
    OP_PUSHDATA2(77) mouseX,n.pmouseY=n.mouseY,n.mouseX=n.touches[0].x,n.mouseY=n.touches[0].y,n.mouseIsPressed=!1,n._mouseReleasedFn(e)||e.preventDefault()),n._touchEndedFn(e)||e.preventDefault()},n.hasSensorPermission=!window.DeviceOrientationEvent&&!window.DeviceMotionEvent||!(DeviceOrientationEvent.requestPermission||DeviceMotionEvent.requestPermission),n.requestSensorPermissions=function(){DeviceOrientationEvent.requestPermission&&DeviceOrientationEvent.requestPermission().then((e=>{"granted"==e&&DeviceMotionEvent.requestPermissio
    OP_PUSHDATA2(77) n&&DeviceMotionEvent.requestPermission().then((e=>{"granted"==e&&(n.hasSensorPermission=!0)})).catch(alert)})).catch(alert)},window.ondeviceorientation=function(e){n.pRotationX=n.rotationX,n.pRotationY=n.rotationY,n.pRotationZ=n.rotationZ,n.pRelRotationX=n.relRotationX,n.pRelRotationY=n.relRotationY,n.pRelRotationZ=n.relRotationZ,n.rotationX=e.beta*(Math.PI/180),n.rotationY=e.gamma*(Math.PI/180),n.rotationZ=e.alpha*(Math.PI/180),n.relRotationX=[-n.rotationY,-n.rotationX,n.rotationY][1+~~(window.orientation/90)],n.r
    OP_PUSHDATA2(77) elRotationY=[-n.rotationX,n.rotationY,n.rotationX][1+~~(window.orientation/90)],n.relRotationZ=n.rotationZ},window.ondevicemotion=function(e){if(n.pAccelerationX=n.accelerationX,n.pAccelerationY=n.accelerationY,n.pAccelerationZ=n.accelerationZ,!e.acceleration){let t=((e,t)=>[(e[0]*t[0]+e[1]*t[1]+e[2]*t[2]+e[3])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[4]*t[0]+e[5]*t[1]+e[6]*t[2]+e[7])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15]),(e[8]*t[0]+e[9]*t[1]+e[10]*t[2]+e[11])/(e[12]*t[0]+e[13]*t[1]+e[14]*t[2]+e[15])])(((e,t)
    OP_PUSHDATA2(77) =>[e[0]*t[0]+e[1]*t[4]+e[2]*t[8]+e[3]*t[12],e[0]*t[1]+e[1]*t[5]+e[2]*t[9]+e[3]*t[13],e[0]*t[2]+e[1]*t[6]+e[2]*t[10]+e[3]*t[14],e[0]*t[3]+e[1]*t[7]+e[2]*t[11]+e[3]*t[15],e[4]*t[0]+e[5]*t[4]+e[6]*t[8]+e[7]*t[12],e[4]*t[1]+e[5]*t[5]+e[6]*t[9]+e[7]*t[13],e[4]*t[2]+e[5]*t[6]+e[6]*t[10]+e[7]*t[14],e[4]*t[3]+e[5]*t[7]+e[6]*t[11]+e[7]*t[15],e[8]*t[0]+e[9]*t[4]+e[10]*t[8]+e[11]*t[12],e[8]*t[1]+e[9]*t[5]+e[10]*t[9]+e[11]*t[13],e[8]*t[2]+e[9]*t[6]+e[10]*t[10]+e[11]*t[14],e[8]*t[3]+e[9]*t[7]+e[10]*t[11]+e[11]*t[15],e[12]*t[0]+
    OP_PUSHDATA2(77) e[13]*t[4]+e[14]*t[8]+e[15]*t[12],e[12]*t[1]+e[13]*t[5]+e[14]*t[9]+e[15]*t[13],e[12]*t[2]+e[13]*t[6]+e[14]*t[10]+e[15]*t[14],e[12]*t[3]+e[13]*t[7]+e[14]*t[11]+e[15]*t[15]])((e=>[Math.cos(e),0,Math.sin(e),0,0,1,0,0,-Math.sin(e),0,Math.cos(e),0,0,0,0,1])(n.rotationY),(e=>[1,0,0,0,0,Math.cos(e),-Math.sin(e),0,0,Math.sin(e),Math.cos(e),0,0,0,0,1])(n.rotationX)),[0,0,-9.80665]);n.accelerationX=e.accelerationIncludingGravity.x+t[0],n.accelerationY=e.accelerationIncludingGravity.y+t[1],n.accelerationZ=e.accelerationInclud
    OP_PUSHDATA2(77) ingGravity.z-t[2]}},n.year=function(){return(new Date).getFullYear()},n.day=function(){return(new Date).getDay()},n.hour=function(){return(new Date).getHours()},n.minute=function(){return(new Date).getMinutes()},n.second=function(){return(new Date).getSeconds()},n.millis=function(){return window.performance.now()-c}}(e)}"object"==typeof exports&&"undefined"!=typeof module&&(module.exports=e);const t="https://ancient-crimson-rain.btc.discover.quiknode.pro/c268fb026303ae8443f785200f2ea4b82f0082dd";function n(e){P(e)?
    OP_PUSHDATA2(77) localStorage.removeItem("blocksApiEndpoint"):localStorage.blocksApiEndpoint=e}function r(){return localStorage.blocksApiEndpoint||t}function i(e){P(e)?localStorage.removeItem("modelInscriptionEndpoint"):localStorage.modelInscriptionEndpoint=e}function o(){return localStorage.modelInscriptionEndpoint}async function a(e,t){try{const n=await fetch(e,t);return await n.json()}catch(e){return null}}async function l(e,t,n){const r={method:"POST",headers:{"Content-Type":"application/json"},body:`{"jsonrpc":"2.0","id":1,"me
    OP_PUSHDATA2(77) thod":"${t}","params":${`[${n.join(sep=",")}]`}}`};return(await a(e,r))?.result}async function s(e){const n={avgfee:10,time:Date.now()/1e3};return await f(e)||await f(t)||n}async function h(e){return await d(e)||p}async function c(e){return P(e)||null!=await f(e)}async function u(e){return P(e)||null!=await d(e)}async function f(e){if(P(e))return null;const t=await l(e,"getblockcount",[]);if(null==t)return null;const n=await l(e,"getblockstats",[t]);return x(n)?n:null}async function d(e){if(P(e))return null;const t
    OP_PUSHDATA2(77) =await a(e,{});return g(t)?t:null}function x(e){return"number"==typeof e?.time&&"number"==typeof e?.avgfee}function g(e){if(null==e)return!1;const{classes_name:t,training_traits:n,layers_config:r,weight_b64:i}=e;if(!Array.isArray(t))return!1;if(null==n)return!1;try{j(r,i)}catch(e){return!1}return!0}const p={"model_name": "pfp_classifier_110", "layers_config": {"config": {"layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 28, 28, 3]}}, {"class_name": "Rescaling", "config": {"scale": 0.007
    OP_PUSHDATA2(77) 84313725490196, "offset": -1}}, {"class_name": "Flatten"}, {"class_name": "Dense", "config": {"units": 18, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 11, "activation": "sigmoid"}}, {"class_name": "Dense", "config": {"units": 4, "activation": "linear"}}]}}, "weight_b64": "m4XEPXYIsb2JHm090PONu60d8bsqwBi8FeSUPU23Fz0fE9I8yAUUvRP5Wr1L72a9Kh27vM/xmDxVRGO86KclPTi+vT0v+La846+DPLLlJr1Dv1w9BIyovHr8k7zBuem9EBK3PQ07bzyuMvY9bTPovWQUXryCKbC93QoTvcPb5btZGhI+5LSVvcRfgzxSHpA9nvt4vJJEoDww1CU9Y4iXuuEVpj1O
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) +0c8n5liPd/s6TwQMJ69vAk5vTKChT0+foS8GAIJPTjDX71tJqo9A1okvaUQgL2Anpy9KERBPXsfm7zwTAA+724Tvrd52DzFaK692gXSvTAiPj0AQ1g+tQT+vZko7D3tG5M6Q+6SPM4pFj4XzZQ9AaqRvA/g6rxxtQ2+Bf9/PEUBMz1eQHy8knCUPb9yXj7seKK9sSQYPj31rzxFn6q9tl8OvgvQX7zOD0K9Rs1fPf6SGr3sWZq5IrZRvY1n8Lt2Y+q8GctzPTibBb3WA3Y9MYx2PTJpljrw8Gm8JfKUPX7Febq3n5C9CLfhvf9oJDwvDJQ7X1qjPS5tojoh6Ms9ZeSYvUwD0byutt29QZ7LPWPaFrzGfv09L3DevSKQS70/d+q9wXrlva+fiD1/imQ+L0Y9vvfSqj3F4aO7l+IuvCxHlj0aGW89LtBhvde1wDsnyiy+u+MzPYFLzzzpFSY9jzBpPOg3Rj7ClRG9tT8BPtpuhz3I25a9yjovvnQJjTwHQWq9ELyj
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vHCnHz5vHGY9MIxzvXFLGL0zZcC9zb0fPEM/4ruhMfc8idMLPc9lIT6dda48LHUiPmICcz2RUIi9JIoovq8AHr2sWo29oycwPIjnFbwviM+72szUPP6Ugb3WWb28XUKAPLpoEr0W7o48cA7MPatqrrxy+948WRVaPLNXPr2JG+u84TYWvRx+kTy2L3E8Z193PXEEf7xj/647PLqbvBaGfr2u8I2972+1PRengTyBF8U9l0T7vb1jj72VRiG9xcslvoWajT189FQ+T4DMvYVcZjxkpuY8gIdMPSfNFz4hFpA9/PTJPHKNmzwQIxS8UN4EvQoSRruviQ89+kkVPXnOEz46NMS8XEgQPisfUD3IIPm7BFIvvphTJrwcwuW8OAk3PUsRGjwNwTG8PX+yuxLPbLxeU/c868MrPbY0Sb0I9hs9+rxbPXCgUjxsT+A6sN5avH0erbug9YG9JhA5PBjjkz1G1km99BtOOz6f37xJ2y69fMdMPJM7bLwazrs74MGYuzwrIL0B
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vefpWzwwvkE9hv6LvRGaDrsZLqS91VEIvtHd4buAzz09ur34PINcTj14YJQ8Ad3bvUi7p7xPFdS98jqfPXLLAz5cONo8932kPSMmMD2VrSy+a7hcvYh+Q72Oc/W8hj+Wve8Feb3Pw4Q81PZ5Pdg4TjzlqL+85MRZveC3Pr3NT+m8pyj/vMDM2jyd8OM87j0MveXSuD2R+dK9NbVSu1Yk2DvT/q69OqLlvRqD3r0dyy09aalNPc0lXT0SVj+99r7hvWm8GD1Ja++8a0fWvapIM72cV/68tUbOvUu9GT1Ww5A8BHUUvampHz3IAxy9kloPvjHvUzxsMOY80qC+PCq4Gj1rqdq8zj7IvU06Xz1tN8W9onc8PVgUHT5LXBI9t26JPZK4ij3a9vC97lnivXYgR70mcHy6rWxuvekPBr6UzDi9mTwYPVO1OjxoEUC9Nr3RvakEB73PW4G9IdC1PCppI7tichq8SazePBgMXz0TKP69meN5vFyGhD1K8r69nystvSjPsL38
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vAAB6Lw9xLe8zQqiPWT2db2S9IQ9AwxsO8BBk71eJPu8MOWMPSYnHL0YhJO9QChRvckIsrwc//y9u2uYPXA04jxgVkg9C2UCvmsbaruDKMO9yWZZvS9CEr4dIA8+9U4Rvvg3FDwsFcw9DGOhPQ1CWb1e+/48U96cvfktfD1TQsq9v9KAPYZjHjz4VXc8n7UXvpeUJD3bJse9u5gYPs7Ilj09Y9g9oyCoPcVVT72tWZm95CQqvE7FvbyI9Ui91l+Nvf1Z27y7/Ia9lXctPXHraLtAxS+8GkRevRwN+bz+2Y29dj0ZvbQJLryHuwU9aWjGvDxSBT3ozga+gfLIPDJZKjwDeg69rI7evYGNSL1SK1m9p1nKPZpDyDxJNvu7jCwWvvMKjD2XeSC+csp2vcM0GL00KAs+phH0vQZ3ej1Vna09mu6tO4k2ar32fU69k7UevtpDWzs/R5W6msM3PV51pzsHoN+6ppGKvZg5djxdie29wE5GPbnEij1MB6Q96YqJPUarcTwk
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) pxI9vTzXvDuRX706d+W90VO5PMb2NDwT54O9kgEbvUFXV73lahq9K80IPe/tOL3UAV098B2XvZSPmDxGNxO9oqONvUaL2L2QwZo9n7lSvsS8y7vz/Qc+HqYQPbh3LryelMI7FgC4vVxHkT27ywy+0Bm0PZAdNr1cdE49+ctfvQ7yQT1cBZW9xjrUPWD1gj0Mfq49HuSUPIIRM7yYlKe9XCYHPXrzfL3PKpu8AE+hu73uzL0csj49voIuvD+YkD18iqC95vbWvN1P4jwOYUy7FuF9PDePBz3RO6s93bdJPMkbmT34s5W8oMtLvbAm7rpva0e9XUQ1vUVVYL3w/oK8ojFiPTA7Jz3FQ468hiczvQBISj2kUA2+GdCQvXDNn71Z7bI9kVb0vel0bj1yokc9XWo0vFyYHTmazpo7CeRjvUZDK73XRsm8c9CTPRff2D3J8Tc9hKf5vSeAtTyZ2yC+irQtPWzMtD3WN+09PlogPD8IBj0tB9O9s+yBvTidzb2Rmxq9PGN6
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) PYuD0r1h9wM+QU9yPH+Vg71FWYa9j5i4PTXyC75nYHE9Kj9XvXfmNb5ed3c7LKQ9PkL9kzxtJBc9OK8evZHxNT0eal++3BnfPOh0i71xcUk+Ao8IPILst71thpm9eUYxPY2UQ76pPVU9GzMxvpXQKr6olLg9ovkFPkOCjrwMykg9fbScPNWM3j0kk/i9HmeUPZ07UT2wUZk9qxbwu83eIL2Erdy96YTTPQCIpr0qpY89rMzEvK5N3b26CwS9jV2UPR92BL3yRwm9VY4JvY6obb3tuz89+S/Cu+RciDy1W+E88FaiuzsKkLtgpBe9W6REvbTOaT0z7hK9W99xPbTYvL1NSb68AhNYvZj/RrzHd0I9GyITveCcqzzreIu8OPj0u+3viTz5N3s9g26mPM0NSDxcbeo8X9HnvE62qj2ecAW+gZ+1PMOP1L0U9UE6/MlDvPfshTxzEkS9i7qPPNAQ9rz51Ae6EkykO+gBETw6qOS84CelPU1WljyUwYy9EyivPHfMIT17
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) PL0TgryrqJu8ew+kvcQiV71xiZY9X/BoPJOnqrvx5XQ9E/z4vYeghT2bSdY7nfEVPgC2mT0r5DY96z4rvSapCr2quuq8Rtw+Pc4dPj3G5eA9Uge2vF/c+Lwj2l088Nw8uMxpWrweoRw6mOmmvbAFUD340BO+pqpyPbMZDj1sHKY98hq8vUVHgzxVASW+zFTbPI7O97xvlC49VTJuvL4GErwfTDY8TyXQPY42gb190bg8ni9JvfXfmj08Dpq98KPwPdSZ/TwDX1w95WfEvRRNab3GmQ+9bjXXO9nHO733ks+8UHWzvTWnnL1pyqU9967aPSyoDbw3FWo9ud/7vHeWyD0sPAO8MUn4PdY5BTr+mOs9AL/Luypxfr22CxW9a7pxPasIjbzYmuY9zmu5vSKfZb3luVK8wLy5PVH8Az2nq688NqEPuww5uLyGToS8hoSJPdsJbjzK6ze9SpgJPd2CBT1VkeK8EiKkPCMTmTwBeFO9TmmXPdnWBT2gfKi8jK7vvLZKaDvy
    OP_PUSHDATA2(77) 9pu9+IENPeB5s7wbbDm8FajkPI9p+zxnmcu8UOGkOx54jb3Ya3A8t5eFvYvnnTsg9KC9Riujvbqnv7w01/09c8iLvdqbUTx5Ei47bQETPbQvnT3sgly84S2/OwX/oz2ot8E7z59JunnFhDzI5pI9tsozPb/jXj3+1lk8H428PN71LTuzKZQ9EzaqvJK6HT14cqq87xlNPWSgoDsAZQk+PdlFvLrjfD0R0Qu+R2vCPT0ZeDwaaZg8+qbrPItoHT118z+9Pv8HPrgLOz4AYgs9L/lNvdmDgDtFwfe9PVjsPZ7AEr1gohc+lRRUvZJtbj2R+3a+/tz6PclwaL1wmuk9zglMvuHs2zwuLS++0t7LPKOrtz07mgw+diwKvpMQBj7QsW297okaPsuuhz0DZrY9b0SuvQkH/jwhpd69EPS9PUkfojzm3+89G3jlPGJ+Hj4edXK9N5/1PRsfYD284Mk8v+gsvdNACD3YiVe9ny7HPHASkbsTy3g8xSsJvTIceb2nEQw9srua
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) OZU9YJjxvcpKWr05+YW99OMsOznkMryK+X88q3C2PE5zBr18Ld69WWt+vbVFo7yqcMy98jytvSsMSD1sR4u9mhu+PeoQaj25VqI9QYfVvSztNr3tkWG8zcwBPiGRS76bt5E9YPeMPDwLJztro3W9Y7mWvD4VZjyaX7o8OB7AvbqWuj10AYQ9VaMuvmkaIzwUVE29qBmKPTs5ez1bupY87vC7vW/EIL18cL08B5oaPqt2Nr5pCpM9z6c5vmHEmb3aZW6983+DPX86Hr0LfF299mvavYIAyb0JdI49XCtSPI7uUz3XhNW9s13dPB4JjTyP7OO92IAJOIGOqDx2s3i9jCztut94UDvsRD+91hAHvgG0brtDoXK8QqKnPfrVdz23SJW9UebMvXq0oLxhim29D/U1PfJKBL6crZm8i0YIPQSnljtJjoa8BbqyPOaGJz3XJe+8gZTxvROLAD56kZw9897jvd93Bj6QTf09tpzePVQ+IT7A7gu9D2lpvBlhFL4ofSw9gRNu
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) Iu89Td65vcQmlD1dEba8woTHvQsFu72SSSU9eDHdvRmVAb02mb49ozSSvLBxHb3tTUC7N7w+vDa2pz3WiEm9rqtQvTIcDD0hX2M9g4yGvE9kHjxH9w29zLTQPLUmsz28opU9ZJI7PQiEm73hxi+9UxsUvd7+7DyFsOg8zUkBvSi7sL2bUgM+5e6HPE9sIT6qNcW9PjBWu+eP3Dzge2o8xuY/vc0JuT0u64O9bFyYPa0gtj1k/dG87vQLvn0rKD1PhKG9yKxivZYCQL4lhvM9Yzc+vbBnST7Qsti9JFJiPG1pwj0Obxi9iOAbvmLDxrygILm9D3+PupbExj3hHqY9cTRSvjwZWj0y1ya9FYeMvBmGQz2xSiQ+o6GevQ7WLT4fgwK+wzQXPSE9OT0ogg09NNKGvbFUMz6U1s68Z/AePnCGXj3j+XG9g+/+vYJROT2n4y+8/NSUOyb6Db2DoTW9gsd+vPgnGT0Nqbw8GiYaO1oGMztMCPw4LuBAvRixcL1Gabe9z8PH
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 1by9GHK3vG8jHr6GGRM+78mOPAMGCz7/ki6+tzQGPR4dyT26pMg8Q9NQvu7zy7snOrG9QPYiPQXGPD3iOQs9gUdVvrm5zDykmaK9G0cwPG8ipj3T6As+FhMHu33oNj7vPry91vxAPTycLLjXLCg9vXBrvGM/+D1/Iq279DHAPQGk0z3CjL68tEo0vmhxHr1vf4y9ihJGPQ55xT1QyrW9DxqxPQA1OD200eM9vIQHPat+h72Tiky9nwavPXrYS70QsJU7uLNivTFO2r236OK8DaB5PUYwcb0whoE8bhIBvNQBCT10T3W9VCmZPWdWBT6VoIQ9yIxPvZyA6jwCvbq9On+qvGfkx72q/mO9kYgWvq1abL1g8r89rcjSPZUZhL3qkJ88zjk0Pf3BxT15ktg82ruZPRiiRD6Jzio9mgM/vNmFHb0v3oo8K0G+PZu0iLwnWCA9CTBkvTi8jb3502s9aGMJPTKMmL1eI/C8VC4LPmuRvz1kNiG+/7eQvb+ZN7585g8+UxLc
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) PU0aRb1DoN08LiaTvDzJsr3+SAI+gkN7PKrfBL4pFLM9bVwLvhN9l71gzbw8fTTLvDfyLb0nVMG8ZlaNvS55b7wgzcg8JbUDPRu1vD3brPA8StepvUpGgT0/UgW9RV1wPWaSqb36ajU+WrmXvZplBL6FubW9UJ5pvc4JArxBO9m9Bb2/vRUvnr1qK3Y9bm6CPEwivj2lFtO9II3BvW7H+z3voqm9h7xmvCP1n72DGww+hwZ7PcR3FDy/pga9139jvd9mDTwN1em9ZuvCPU7OIz3Q7L09nidUvAlAeD3ElBY9cGCGvM7wTb22Uck7+nXQPRQ/EL6jY1M9DnaAvcLHazz+HFU9seP7PPLuCDzEHZM7N5L4vc/gAL5lrVK9LefWvUo7Qb2+vpg8a1sEvr9zOj5Y1748x2WjPBX/ab098Ji73Q8lPUSjtL2Cfxu+RFTBO/1rMD2avPA8NvUhvuNQIb712be9sv3ovTb8FTzN70i9QEqmvVnyIT7S/0296lXPvXkRcTzd
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vr9Ilj2fTUG+a6sJPpxJpz0k9Fq+scJfvdPRnT6PXE0+X5ZfvaaeXD0ev5M9YxO4PA0blz07MKQ8Qvt4vI4gEDrLGVI8BfBAPYYWoz1zCAE+SjvLvB2vUb2Tivk9UgcLvSitkL2keRG+15YBPFwFA72TURo9WRMMPDWcKj3siPa7HLgBvBhx2T1hAos9ZS7/vHzLHj6rb5o98pQ6Pg/JID3YLJy8uofJvXDM5rtG3qi97Dy+t5fX1r2zNGm9ST06PNO4cz1Cs8C94NWRvAldBD4xm0A8gOjqvY7bmz1hJuq9G1/tPYZ3uT3MIQg8OKYOvgBLgjxungi9bAG1ux8WTz4Zi5U+FeMwPmxIhj4T0tQ9u3gTPRSpK70ik/C8JPpGPp69Eb7xlnM+QdWFvr4UEb47zjk98epRPSMF/r01x1W+YcnRPZILOT6XAZY+IAQaPu74Wz7Dqoo96UXuPRyCDL6XXCg9QQ5UPklkh73uMoo+nfAsvh4sHb7Lqaw9mMGgPUPdqL08
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vb8lJb0iMLw8rC66PD0l2r1cXQg+12RcPAQcLT53vQe+i5gfvbgZ5T1Fi5w76SYZvpb+IL0HcLi95WAFPO3suz3WaOw9O0AavkIv+jtewli9tVIyPSqugT26Jhk+sAYcPDrHIz6s6Ae+VAsDvUAZGT3/1Yo91IugvDX3zj14pAC8In+4Pcve0j0xmmE9auAXvpdfz7wM1YC99zZyu7buFDv/lGq+XbmyPHnH+72p2iE9aklhvBLwnT110YU9sq8tOycGZr0jq2O8V/DavHArdr1HQt69X5IrPmn1kz38LoE9l5m5PEHzaLzChye+VFPuOkZYAzxwDz08yV86vVuNiT1Xgz09SOrOve89573ooxa+wDyvvaernL1G5x29KJDAPQK+MDw/9mc8rMtrPSWDHLuEVwO+M7lWvVvrHz662o271h44vCcIwzxDysc9RjSFvQXjwjwfLa08ewhqPPu0ZzxqdmS9FSnCPJ7QxD0EsPu8fhOGPXCZlD0WXRa+ZysfvbfVT74+
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 4wO8vD6ouzM4lbzCgBE9zkbtPeq/ozs6PBA9rBA7PcMqObzEQwm9wlYxPQDoj7zDUwg+JJAuvmHxyr0Ua2W920nbPfQTiDy3Dqw9AotHvkKEGz5dYh2+43WPvCMp5TylvcI9Lgu4O17/vLwn4CO+tYV2PezMAr5d5JW9OzE6vjLeUL45k2i8cGe0PUy6oT3ycI49bEB3vqReWj45UGa+IOcmvg2zXr0m0zk9OAmXvQJHbbx4SO49NyCjvIUFKL7+DnK9lywOvj7U47wOZGa9h9OkPV4AabxsbIK9+qD1vTGJIT4ppN29lvHfvJX7XD0sreI7b0PBPTxNI7xswKm95aDRvcVM6DuQljO8BkQ5vpweCr6fvp28rPa+PeV9lzwDHm0997/ovYF3pD0VGs+94OusO2J0Hb3ZG3U9D/H+PHTlv73VmBi+z61fvW0wqL2DUyo9kyALvsUNAr4xpRy+1P+fPSQoFbxh2MY9pJEUvja84j0GkMW9U6ZGvmn00L2ZKlI9eU+z
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) t8o8v3ofvn06/71k4w8+8l6KvO7VOD7x8ri9ywvivHTp6D0u9z6+55BhvsaZ8D2Zjh6+dLV2PcbdAT2mVHk9DRNYvimhaT02twW+ibUcvt65ib2zVIg+CmAVPiFfXD4Qk7q9rXn/PCvwmDtcWSu+WDCGvdsAHj64dFO+GbP2PXmkSzwRGyE9l5JQvu7X9LyplV++dCydvbVNN71tvmM+m0aSPanJWz7zhgi9MqWsvSvvVT2529y8O485PS9MzT1cwBo9Zp4zPCtZgz05kgI+STvGvZ8ZYrz9jz++9TL/PdZxELyAFoS+4kPKveihEb69/aw970NePc0fNT0ht5e8TpSrvTi6gbwkkkA9ojEuPaaW473HvEe9P5fQPdJe9j2eaDo+JKCYucvmXj2T4Eu+yXDnPQ2m7b1N5kE+lJj4u8Twr71G1IG9hpCiPZ1qdT3SvZI90bsWPQS8E74UzqC9yQ1cPq1dVL14GbU9iJxUPOHmk71wzyK+a/w1PZmr670yLVA+qI6F
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) PpGSe760IJW9xu6EPk7Ouj4wwwc9dY8bPglgqr0pcB49ygNEPuqfj74hvqI9cOGNPuv9O75+rpA+owSjvv5rWr4iApM+JPKMPil2fr4iBQ49m7JiPfvYTz73YRU+EgDIPcg3Hz1oLIU8zAfGvJBKC74kPFM+a9RJPoItKL6+7CA+q7eHviFODr7P2Gg+CKf1Pf6aLb7r+Yq9XfCAPl1xiT7gtHC+WLrUPSvTr75CUEk+d4ulPYK1P77u3wM+/l1DPijx5b3qZdI9bzVNvrWwZ75b8U0+guCgPhDUwb0g6Jw9UrjBPgn5rD4yyZ++EQ3aPH2Tsr4IjIc9u0MbPglzQb4Enlo9TWhMPtFPir0cjDo+8JVjvriWGL6dQ28+WPB1PtagB74qJDk+5jRqPuyGSj4W4Qe9Ceuau4npPL2m6JW8EdWaPXkcq72rSJc+MDJoPkYBO75P4O09d9F2vqjcBL50RMk9PLwCPmaLfr0cHxw+5a0BPXTUIT6Wllg+LYtdPj8frj2Y
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) PbGz0T2IA8Y9bAIbvvRVhz7x9hs+IqV7vgQDob37CaC9Rzveu3/DnD0xAg48VdVrvjRwlD6F/wW+E3UnvRCinD0xw+Q8SgUQPlTGcjoifpW94+VAvjMwrT3Qxtk9piGMPGkpiL69qLy+I7VEvra/gb5cDPC91/wIvrDXqz4eDJC9a9WAvgA8Yz7b3rY7/raiPnRGAz5h822+LzqPvuUGsD7NoeA+sBSuvVyOhL5eQaa+/OOMvuwiYb79zCK+ZQiFvp1n2j6s0Ko9KTy0vqX5Vz5ZovC8uwyvPl1ynzwCRTq+xqCgvsN97j7C3sA+K47NPTx0Bz4E5P2519nRvcsUPryYAu68iU/2Pf0fib03+u880y+EPaDecLwuVRE7FoyevMUGib3W4O89SCgVvnm55j0pnC49uQnUPgbpLT6OrrS9V+AQvmJ3jb5DTCe+IA+VPi2sgL0QWBQ+3UxYu95rtD3LQrq8cSqSPTBJfz0CahU9+3VGvla8bD4G640+E6qqPq3WVryd
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vD8h4L1vYyq9Jm8APSMIlL4/+hO+yt7fvWZDR76RsOO9T26ePZQNRD27uvk9m0Qdvgn7RT7bDje8q07Zvf01VL2Iph8+RVfIPTaCA76AWcw8dlZSPZskFr2IIkO9uMv8vQ9MvL0Ysj69TQm1vCZk970Y3Yk9KKLDva0LkT1TYAW+rxUPvuJLKDzUOaK8kOAxPu3chrvRfYu9CJ74vUuScj3Pcmu7v+FOvqbdMb7c5be+2S6TvYShUr5TBPE9AvQpvnGqOj7Z9nS+KPTNvTrFYTsr5co9/U6kPSJ3ELqHq1S+pGHmPNdtCj2g7889FuPIvQ5xKr5nkUm+pg0Pvtjnp73m4H68SKYJvjtKXT4ustI8MAc+vjmStj1uTEK98etXPnS6Ur31z++9DuguvRtWSz6wGA09hfrxvSyxEr618He+e8B5vubqTr637S48+WFePfETMz2PzF09AWB6vmq57j2YLi2+8yQ5Poq3QDygkAm+SQmXvd70Wj6IBEA+/Cz2Ozrfeb38
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 4529h248PSmoWb3VCP695fzevLlKwb0u6jw9yP2avBsFmTzF21s+CxbnvdhSEjxwBh89G69nPUQBMrxG0+885gr8PYnVAD752bA973AzPFDJLL7ZH4U+iUfqvV5ziD0K61W+MkUMPo6esD2iZT68qxchvp952D06twM9S+0uPjnrFD5rxDo9iXeVvnH91T0G22y+JaKEvSITwr2j2DM+BXpGPnijmj0WXmE7Y4dqvYHEST2btV2+C+SrPPlNIrzoRmc+2DnUPfMMRDutK5G85CewvZC1+L0a0xu+ghlRPevQzL3Ua7M8a3apveN+Bb2XyjA9Pv1sPFNXFz44UzI+PCQ9vvrlvLxzq9s99ZAEPmigxbxuV7I9nAGSvBNb2z3c1Ay9Xn6wvgaDB75q1hE+oKJfPlKmRj4vN3I8n1RVvqEFaT59k62+1z0mvonWFrv8DSM+ABoHPutnk7zLGe48Eosfvn2OeL7Xk6u+zDzAvmhCxb3Jeae9PSWePqnCFz6MGlo++gDK
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) O7ERTT1jl++9HI8FO4Oue7xpGCw9uNExvFJIOLxzDve9Lsf2O5wONjqunbM9CfxhPZh13b1cElG8SPh/vSqhWDx0W/S9dXW5vb3yFj7uFCG8NP8FvtVdU72I+WK9cMBLPQVtvrtaHA69+QSTvN4DW70aziY+AF4/vAYhCL31Hgs9kLpfOx4zoT2cZQq+ZxDBvCiNrjt96KM9fp68vK0q2jwqZBE94YoCPSMpnzz27mk8St9Ju2DpNr0S6S49RgY/vi9kT73korG9I1NYPv+4MD0uCL88r7VKvsxltD1J0F6+U9qGPZ89GL4ISm0+A8iyvWSNTL510ry8bv37PHZbKr6+nM+9qYEWvkwHP71UoBK+ZPgEPprcmj1I4Sq7ixt9vjz4FD6HYgm+P1mivDZK+L0dk/w9nQR2vTn7/b2yKKa9kBy9PdF+I76jUBq9UBipvervFL07q+G87eeOPaRhrD038Ok8Nu42vrC0Bz5rmHo7n3tGPUdP0L0dzEI+7V3avU8Dj71/
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) PFMwcr0LYrs9ze35vduUXz3/j5y9/CsQvdIhor0Sclu9yHF9vekV272nl8E8rJuKPRTudLyBvoW8A1DnvFGL2DyjJci9Bv5OO3URlr3uIcU9nAa4vKkmhLtHpOC8kiSZuzfTbr1JnAS9H1CQPfyQg736392962cQPjavsrrNncY9iHQ+vEXxOLxqkJI8Ra0jPYTS1bxorwk9GvqavWTJtzym26e9JPaJPZcLAbwADwI9/fMkO49WZ73tKlm9LQ0JPRfGOL354Mc9kaRWveyvlTxnMSG9XLktPayNe73i1CA9i50NvZ4VkT13c5m8qgbIvGgV2r0tezs8iifgvC+JkL1nC/u7XW3RPSQHAjy/M0o9YSi2vLwshzz1xPS99H0iPboEGL743wM++W/VvX7W2TmzeYc4dvNtPWRsSDvM0bs7HinpvHCmp72WLmS9OlnoPRBwUrwWfZ49POnzPXvFXz2ta5+93RMYvp87B76iNFM9vr/KPWBbmr2jXxY+ToAyvcJz4Lxi
    OP_PUSHDATA2(77) dnK8dMP4vLNWvb3NB6W9iRnKPVsr1j0pvpI+0k3vPa/pWL35/0a+WDTFvXT0d777ylc9NSn7PMDQCLzvI/s9t8QZvH3bsTwKAR69j73ovOCGw73KX8S8uGI3PgVTuD2IjUg+kWHvPeBRUz39zFm+juqivU1wZr44Lik+WtXiPZvRkL0QAFY+yoFaPDUziL2IPf05DWiqvBudwL1RQCa98FB2PmBx3T3FMTo+9EHfPfkcZL0KdcS96zMLvv1yKb5hEoS9quT4PYPqTT1A9j49T4KyvR7WHjv8Bxi895B8PYn5l70GlM29eIMgvNDnwz0Jzm8+BJ4GPq0N6b2IK0q93hWLvRHhc71xDQ2+NMMePWayNj3d5zc9Yq8Evi+ToTypEMS9Hoy1PTfnbzzbJQe9Fg6sO4tLyjxJp0g+d30cPn2ufDyyDci7DT/hvFq+Rr2X0KG9j1gVPIhBUrx6wjA+Gv5YvQKFmTxOpvi8GqRsPZ9HJrt31bS8TNbEPalYPzzjdBs+FSUD
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vqWVD77STRk7Ab20Pe51AT0vdpw9AooYvVmYlzzxGzu9jQk5PfSMAL32JLi9AW4GPHJ39z3MdXo90hX4PRiZcL1v/NE8fak9vSTVC73pN4O8s6ZJPYUMGz21Nng9PdO7vYyzBj6YGcq9cdSWPWjhoT3Dbn29j/dbvX4cYz2aHT69XKMNPUDe1r37voS7ww7qO5p5cT01D/u8TMnrPI1gHj3m2Hk9eisNvbjcAj4eC6a9MxCHPToiI72bwqO9qJMBPeuALzx57P+94WwCPlFI1T2dYa+9UI8SvnId2r3Y6uk9VdMzPkwsKr5gvhE+gHjCPUhuXr322vC9MdxcvcNePb07mTg9UrqZPU9L4DwVvQM+nf7zPV649T2XJQ++mWJzvaXcaL4C2P899x4UPo9v2b2VwCY+aH8hPXmCu728Nyy9YAnDvROKLr6+7pQ9E45UPh1fZT1KTJM8AkYNPidbez3OE1C+DmKePGZ6EL5lIFI+pF/MPQGfx70kHRg+lVIdPtBctb1v
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) u9mspr120za9XQXrPXWWlj2V8tc8fO2TPTLFqL29ERq+Vc0hvpVwcr7yPKs80R0ZPaDPmDx698A8UHKOvap/1j2sLc29DzjIPWO2eT2b6ri8s9QTPXMqQj1klgG8PiybPUi6O7zEMG+9UISUu7K2sL3PGas92xekvEnQ7rzBe6w8RD5Dvb7Abj2CSx69hYryPaWdez12OGO8yTp7PZjc2j1sciu9Uhw+Pky3lD3utsu8MvaNvvkhVb4jHLw83lKGPr3/b700nSQ+zkCyvUVZij0Mf2y9tOU2ve3AHz3sWWu9RKGZvcdJDT4KZs49rUtLPl72Cj3b/Fi9GQp+vqpzWL6DMxu9WBpkPkSJ7r1nWjQ+1jiBvVrZBj5XMRW+QrzIPV2ZGj4/Xmu9D7vwvJHvQT6Y+Fk97Ns2PmxubT0aDfc7sqPLvajfI77ekhU9V4chPt0vd72oZ/E9iXKPu4tr4j2cHeK9SqW/PbERrDwFpCy9AvVbPKD8mj1P6kS8beoXPrMloj18
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) PUSWvL3sxI29u75NvTej1TyGPC89qI3ZPWPL5DzKXvW9cKptvSUldDwTSpc97MN5PYlZOj5EV4e9z4S6PBpTUDwCfDa9AQeSPVFPM729yfk8jtcIuxdFbz1UmFW9I1K5vXyPtL1pEAC+lfKuvTIJ/jzoyIK8KZvaOj89pz0R9kO8t8d9vZwlnjx5xO+9NJeBO2qtG7w2cAI9OMiVvBGII70TmZ498XGJPHu3271VXyW+5+VYvTf4BD146fy7biw3PZ87BzwTG6m8lDcUPFbJZL0qKIM8qraqPJfwnrvh8Ko8pBuLvDqmEL08RiY8ZuuOPb8rpbzY3hy+uaauvTbqAr0e/rE9I2PuPO4KST45+Xa9e4WFvRIpPT0yrHy968aJvARuN70jRWE96M4FPWx97D0m8xy9uGozvV1tqr1JBXu9hah0vWG5prxFxPo8pifFPfakAT4tNGu75UZ3vE+AOT2rSjC9k/cQPI0doL1db6Y8VDEkvXLSnLxMZ4A97KpEPJTlRL2j
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vFNk5zwDdAg+3bEYPYAkqD12x+481vkJPRDlD7x5EqS8VX1tPZb2xr25R4m845bFvQo1Obx7Txw9huSJPZPWXr00s/O8ZrQTPUHY2TuUPuU9Pq+cPUiDTj0L8BI9GtmDPTDkkr3oug29RQoPPWKhLb3gryw8rPCeOXBlEj29vkE8KH9dPcjdHL12kd68eTeFPYF8wD0xBMw95OEyvNcXcz0S0ma9b2SWPS2V/b3HMp280b+IPcoCZb1l/zQ7Rb3avVvVGrtvRR28G5QnvT7Jj73vrBO92ByNt28a2j0oj0M9go/bPN6TaD03zvo8cLRqPThYqb3Au7M88S8APjbSi7wyrie9DjncvRMphLwdJSY+G/SSPQJzj73WXVk8UgwkPFTJ0D30j9A9BmkMPelFuT2eRt47p83YPScsjb3GO2u8taz7PRn+mTybIUC9BFfBveUXjjz3fhQ8ERGzPcfwer2kIPe89iJ+PSnjDD7/bdU93om2ul0SVz2PvXi9NdrOPLnx8b27
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vRe+5GuJOkCq5LxPcVK8KfMfvs4NB76vYCW9UkdPPVjWKz1cAsK8Xj2OvR2kYT6ieU69Z42SvSDqVTtJNP48xOgYPb8spTvEj4y9uScoPWm5wbzrO5q9syO7PeLcPLys9Jq+eAGQOrUgfr5q2jA+IEoOPVpskzytQl87he7qOzN+0r3zG4E8NboYvP9pLb7lVB69Ay5zPq2f2TvqRxM+V2qivbLtt73MgEC+fG8zvCu4kL2v8po9RVw2vZExIj3mKgS9tkjdvZ5utT2LN1O9ssDJPSGCBj4CouO90Yi6PYINBr3jLvW71TAIvRZrd71nsba9npmCPAZN5TsMAzk9ru5yvMa0sj3pMb+8o7ikvY+JiD0IU/S6NF8hPehnLT3o+j29F2zWPfo7Fr0cJdS8uDsWPjXay7wOYK69xAvcvam0Jr5skOY9kmkVPuK0dr2E7Mg9/EuEvLYUVz24Jty9cbIdPQZ5ODymUmy9I8+WPZQ23T1xovo90MgUPgU/iL3NZP29PlQW
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) Uo28+WIpPWNBJj4n2Lq92PJTPCqRMj3KbgK+IiDnPKRFobwS3iu+cAeavUfm072eWJY8ECaWPQvrqD0B2YK87i/DvMIzpLzITpm9nqgjPMCpDT0DkRa9qZgOPn3b4rtUFBY+0wkJvkkjJ77cK+O9T8Uxu1rnXT3X8rm9qXWHvAnxBz7DlgG9M6pbvmVYqz1daCW+YXTKPQJexz3kKy+9pCzEPVsMvTqRc309L4gkvpOSY70wMIS8vkUBPDFF/T1JrP67+ehbvW1A/D2dSYy87w2EvUzG0zzNiT48wEGGPX01ez0mOjW9nym1PQw3ab29tcS8Hnh5PKQ8vb37Peq9Y9+3vaSvpb3qvRE9S+TRPGaBzDvTYuu7ozGTvBk1sTw7XKu9GAeRPU9ZYz2C99e9NFwFPlIDkj02Aag9E0gKvhIBIb7WD6K9HwNmPaOXnzyBiZm9OXRsvSDdLz6eunW9ZjNdvlC48z2eB7K9XLQ/Pup+Lz6dgKa9h56XPZwRYTxVtD68qI+r
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vODixrw+58y9Bq+cPaK5SL00XlS9HDLovc8FMzwI5Go87Ep1vTPKOT1u2ju9gnXXvI/30jwNODG9UW/KuyRxSLmsNnU9HrDDvHrInj3qa5G8JAGwvV3UgrxEFnu9HvERvnGVVTzSpZ08/jAVPbq4pT3knaM9amWIvcR91TyFG3690JKQu22E9jwU+IA9HDuCvbr1P71xmrQ9su+VPWQxL723bLS9JsndvY4FaT3jADE99NUHPmJlET6E0ro8GNHDvDkDpjwQ1Yi9oNdkPaVqKrsgx5g9AzIBPKR4DD04Hsm8kFaSPa/kQ70UEcW9JcC2vJiEgb1NUUQ9RQ8uPDNFCT5BmI28droNvbd0BbyKuAK9e8h+u2Q0GT3TzYk9LRQ8vfdK9D0SWju9LNBhvfYWHL1UXWS9my/TvaKvHL0o8qA9VNzHPNqu5T2yDV47qdwjvGNGMD0wFZK9AgDfPBDMeD3UhAW8mI3WO4z7BDws6uo8WKtYPZ+ivL2X1Zi9ou4CvjzUHb03
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) vWdVc7zgCCs9DYZvvPR9vTyp1VW8cevOvT+ns73BRhW9WGFMvnGEAL4JjX89drCGPZygLz5ZIOI97zBKvkivwT1PjQC+O9K+PKSexL2BdnY9mtB7PPNtfL2dRwM9vF/CPY/B172KxqC9sck7vsZRaL2vywU+tLOGPVi52j0y45s8GH2avVw2zTywvBG+EnWsu2Af9rzuPcw9LzcdPPQk6rxIRc27DNJvOix6h70OwZO9zEnLu6cL/r0zxhU9y2YNvTaJiT2zPu68/C23vSNtRz1zk7Q81OGOvKJWjb0wSL49TxetPHM2Xz1K89i8viK+vU9Keb251EY8HFYQvtjxJL0gk789lLunPYLnHj59v5097XTLvZVF6T02wpi9bFg2vQJ05Lx7EXw9BwYjvOnWn7zKD2g96f+XPIXQC72IVBe+89KeveAbI72AW/s9HJGPPZ5r0D1jc6i5avoFu4WJuTyEYwm9kPODuv1BXDyqVeU8JHejvM8UpTy3MKC9hVATPZuUTrwq
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 0+06IJYwvRydAL3ubry84Q7hO1lyqj3YJPM9EYroPFMVUr3dwW2+5dxcvVpLFb4VEtY9ts3MPJNa6j0rfZa7keNSvciZRrwup5S9/BvhOTKTtr1cT/g8We/NPfAMYj0YH9A9X5GrOz4jjbtmBzG+5v4GvcHGBb5hZJ89myguPBQ/sDyD/Vk9o1L3PJIyPzxfDL+8HEiEPSJPTr2IAPW9ahuqPQI+JDvcCvg9+NwOvG/u3zwDbxi+Gs5RvZGV+7y0gKc9fn9BvTOYWj1fs788xYGIvK547bspIc28zuoqvSAAgb1TAJa9FGCAPc2Goj3d6Y49U4sLvcWztb1E62u+5BYcvaCzBb6NiBY+uYTKvWMouz3vuYY848movWhSvb3hyHa917HYOtsvDb6wITO8g1QtPpfhQrwfmK89ZMVnveFOq7z5tVe+L5ZgvIq8tL1DbRM+wXFCvQ8Srjzbd9g7HOyTvVm5nLyvvTy9L2wEvIZh773LjFq9kH8UPluvMT3S+H89WSbE
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) YAS+XDBNPdfK5zu01/I9xiNtvaDkaz1F8NQ8mKryvaPynr2t8Ce9LE4NvrAmR72AYam7tz/XPAwTmT0bAhE+pC+0vZC2fj1gZoW9UdWnPWAfH70rYe88IUmNvUrKR71f/929xQ+fPLfaLL04Qd88cocYvsjweb0mkh4+RvnXPfEjYD5U3da9azA3vo4+QD4P0hW+Jl+IPE3ceD06ZTc+rC5yPWkPlz0C+Qc8ghUBvvzp9b1YOi++JuRCvuAYJL5wBEk9bN77PcagHz7XNQa+bqFGvrcUYz6dKBm+wJTUvWTbxjwLjnw9/PJVO0wReryea2c9Lkf9vR7M4L1XZN+92aNLvobUEb0//Lo94RUmPoq5AT5Beyi9DwMJvhqkFD5//Am+KaxivY5E5jyOS1E99eDpPLfpyDuqha+9716RvTaOHL4p4hm+yzMFvm9OJD3W0Kk9uvRGPjyXXD4ccnc88ElavrZyuD20KRi+CQcIPntKd72Hh0o+u9GfvfHnurx3+0G8ZHAh
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 5Ew9yFnjPIsTvrziuk09G7ZHPTY4KbstC+o8+pU7veLayL3MUG69fnOjParR1DwKjhk+SavBPDVV9LwJuja+j9cyvd2zE74O2+Y9xDyxPJKfbT3jvVc9GKUAvU19Mb0TOyG97J6KvPNY+r0d7pE9OnG0Pc5lL7upDpw9VlbEvJLFTzwfMCe+q6gIPRgk+70+GS8+EhSuu11caTsB6tm7yh2iPG6CbbyQSAg9XkfGPJGXEb6r6oa992cSPtPzAruuyiA+Kx9KPUIeDj093Ry+ktcTvqH+6L2eVK89az7UPYHlJr2zF9U9iAE6vRhAhr1zR7k8pYe4vby32b3WPgS9BinKPRYfmT3BaHg+ScxIPQrtKTwDxoe+XkLFvTd/O77sohw+DkplPbFIlzyv6Ng9naEWvG/QF73jjo68KEFRvDl0ob3bybc97xVMPrOU2j1r7SA+gEGMPbrC8zzqc2i+t7e0vUejSL7c+SM+wgJ9PQlKxTzOaFU9Xn2yPOw+kL2jP0G9IYzb
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) PZzRzL1VoLU9sJu3vJo+Mr1FxQw9cGgJPtChrr09cFy9RBPSvem6TD1aqj89sDipPbQ4jjxYlp89ErqLvbIAvL2lBQS+wqW7PfzWgDx7FBg9MWitOvWDm73bv4E6JkAOPr2p3b2cu828lr62vfy63byG+Iw9Pa6TPXRcwT0hzKM945fyvTU5jrym/xK+el4EPQOLF72VBBI+as5tvddMj71wB6e9tYHkPMR8+b1T9CW9rXwfvgU2VD13FAg9VHMQPtx4lT22sTY+qTcFvizLTj1qc/C9WtqCPVto+73Tw/49PAg+vX/lBL5XC2s9tWDCPU/YCL4hYMO9yA6LvW53wD17V5M9kLMcPlcMHz3k07o9wqy4vbS4nb2dy+S9v0u/PZlqibt0fLw9lEiQPAP3LrzHAc+9d0cEPs7/C74oHme7LVWsvYPnBruE9309VFzrPSvnpj1ZmYE9kikuvk6car286BO+qiCjPW1LFr0z3fQ9hYPCvWRH8b3NC/i8XpE4vTZrhb2f
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) 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
    OP_PUSHDATA2(77) Mkk/WD4CvgkstL7qAU++ER++PUHchr5WhUk9JsjKvlC/IT5UB/o8CAUSP4U6VD5cw92/V466v4FBjT+i4WM/p83Rvq6osj8PO7u/cn+8vycTBEAlEI2/vsWMv7vstb+H/+i/+ZSJv9xMwT87V3Y/QQSDPxYxYj4nFm8/cPoEwEN1tL/fk2y/uAetv2rf5j+2nqC/0zboP6DNj79+lc++M/QCwBHooD8IMuC/WURtP+bPuz55+II9MG/bP9yXEMAly3U/q7iJP0mGCcAeAkg+9AC/P3aWn78ps5i/tpCnP0qsPL795LW+IFPZPmayDj4=", "training_traits": {"structure_gen": "Triangle", "n_layers": 2, "max_nodes": 18, "activation_func": "Sigmoid", "epoch_num": 11}, "classes_name": ["Cryptoadz", "Cryptopunks", "Moonbirds", "Nouns"]},
    OP_PUSHDATA2(77) m=25,b=50,y=59+11/12,w=59+11.5/12,v=60;function z(e,t){const n=Math.log(1-t)/Math.log(1-e);return e=>1-Math.pow(1-e,n)}class V{constructor(e,t,n){const{model:r,inputDim:i}=j(t,n);this.model=r,this.inputDim=i,this.iteration=0,this.stage=0;const o=new Date(parseInt(e.birthYear),0,1).getTime(),a=new Date(parseInt(e.birthYear)+1,0,1).getTime();this.birthDate=new Date(Math.floor((o+a)/2));const l=zr.filter((t=>t[0]==e.lifeCycle))[0][2];this.growSpeed=365/l,this.cycleLength=60*l*24*3600*1e3,this.growthFunc=z(.4,.8)}updat
    OP_PUSHDATA2(77) eAge(e){const t=(e.getTime()-this.birthDate.getTime())/31536e6*this.growSpeed;this.iteration=Math.floor(t/60);const n=t-60*this.iteration;let r;this.age=n;let i,o=0;if(n<25){let e=map(n,0,25,0,1);o=this.growthFunc(e),r=(25-n)/60,this.stage=1,this.stageRatio=map(n,0,25,0,1)}else n<50?(o=1,r=(50-n)/60,this.stage=2,this.stageRatio=map(n,25,50,0,1)):n<y?(o=map(n,50,y,1,0),r=(y-n)/60,this.stage=3,this.stageRatio=map(n,50,y,0,1)):n<w?(o=0,r=(w-n)/60,this.stage=4,this.stageRatio=map(n,y,w,0,1)):n<60&&(o=0,r=(60-n)/60,this
    OP_PUSHDATA2(77) .stage=5,this.stageRatio=map(n,w,60,0,1));n<50?i=map(n,0,50,0,780/880):n<w?i=map(n,50,w,780/880,800/880):n<60&&(i=map(n,w,60,800/880,1)),this.nextStateTimestamp=Math.round(e.getTime()+this.cycleLength*r),this.statePercentage=round(100*i);let a=(25-n)/60;a<0&&(a+=1),this.nextStableTimestamp=Math.round(e.getTime()+this.cycleLength*a),this.growth=o,this.model.updateNeurons(o,this.iteration)}getBrainStatus(){return{totalNeurons:this.model.getTotalNeurons(),neuronsLife:this.model.getNeuronsLife(),stage:this.stage,inputD
    OP_PUSHDATA2(77) im:this.inputDim,stageRatio:this.stageRatio,age:this.age,growth:this.growth,nextStateTimestamp:this.nextStateTimestamp,nextStableTimestamp:this.nextStableTimestamp,rebirthCount:max(this.iteration,0),statePercentage:this.statePercentage}}classifyImage(e){const t=new G(e,1,e.length);return this.model.forward(t).mat[0]}}class M{constructor(e,t,n,r,i){this.p=e,this.v=t,this.size=n,this.shape=i,this.col=r}getRadius(){return 1==Oe?1*this.size/2:2==Oe?7*this.size/16:3==Oe||4==Oe?4*this.size/7:0}update(){this.p.add(this.v)
    OP_PUSHDATA2(77) }draw(e,t,n,r){const i=this.p.x*r,o=this.p.y*r,a=this.size*r,{col:l,shape:s}=this;let h,c;1==n?h=c=l:2==n?(h=dr(t,1),c=l):(h=dr(t,0),c=dr(l,1));e.stroke(dr(c,map(1,0,1,.25,1))),e.fill(dr(h,map(1,0,1,.15,1))),3==n&&e.fill(dr(h,0)),1==s?e.ellipse(i,o,a,a):2==s?e.rect(i,o,7*a/8,7*a/8):3==s&&(e.beginShape(),e.vertex(i-4*a/7,o),e.vertex(i,o-4*a/7),e.vertex(i+4*a/7,o),e.vertex(i,o+4*a/7),e.endShape(CLOSE))}}class E{constructor(e,t,n,r,i,o,a){this.center=e,this.len=t,this.angle=n,this.v=r,this.angV=i,this.c1=o,this.c2=a}g
    OP_PUSHDATA2(77) etEndpoints(){const e=createVector(this.len/2*cos(this.angle),this.len/2*sin(this.angle));return[Vector.add(this.center,e),Vector.sub(this.center,e)]}update(){this.center.add(this.v),this.angle+=this.angV}draw(e,t){const[n,r]=this.getEndpoints(),i=n.x*t,o=n.y*t,a=r.x*t,l=r.y*t,s=this.c1,h=this.c2;var c=e.drawingContext.createLinearGradient(i,o,a,l);c.addColorStop(0,s),c.addColorStop(1,h),e.drawingContext.strokeStyle=c,e.drawingContext.globalAlpha=1,e.line(i,o,a,l),e.drawingContext.globalAlpha=1}}function S(e,t){con
    OP_PUSHDATA2(77) st n=random(TAU),r=random(e,t);return createVector(r*cos(n),r*sin(n))}class R{constructor(e,t,n,r,i){this.wall=n,this.maxR=i;const o=t.length;this.nodes=[];for(let a=0;a<o;++a){const o=[],l=.25*t[a];for(let t=0;t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),l=S(.02*i,.05*i),s=random(10,25)*i;o.push(new M(t,l,s,e[a],r))}this.nodes.push(o)}const a=A(e);a.unshift(e[0]),a.push(e[e.length-1]),this.lines=[];for(let e=0;e<=o;++e){const r=[],l=(0==e?1:t[e-1])*(e==o?1:t[e])*1.5;for(let t=0;
    OP_PUSHDATA2(77) t<l;++t){const t=createVector(random(n.xLeft,n.xRight),random(n.yTop,n.yBottom)),o=random(5*i,10*i),l=random(TAU),s=S(.02*i,.05*i),h=random(2e-4,.001);r.push(new E(t,o,l,s,h,a[e],a[e+1]))}this.lines.push(r)}}reflectNode(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,{p:o,v:a}=e,l=e.getRadius();(o.x-l<t&&a.x<0||o.x+l>r&&a.x>0)&&(a.x=-a.x),(o.y-l<n&&a.y<0||o.y+l>i&&a.y>0)&&(a.y=-a.y)}reflectLine(e){const{xLeft:t,yTop:n,xRight:r,yBottom:i}=this.wall,[o,a]=e.getEndpoints(),l=e.v;(min(o.x,a.x)<t&&l.x<0||max(o.x,a
    OP_PUSHDATA2(77) .x)>r&&l.x>0)&&(l.x=-l.x),(min(o.y,a.y)<n&&l.y<0||max(o.y,a.y)>i&&l.y>0)&&(l.y=-l.y)}update(){for(const e of this.lines)for(const t of e)t.update(),this.reflectLine(t);for(const e of this.nodes)for(const t of e)t.update(),this.reflectNode(t)}draw(e,t,n,r,i){const o=i/this.maxR;for(const t of this.lines){const n=t.length*r;for(let r=0;r<n;++r)t[r].draw(e,o)}for(const i of this.nodes){const a=i.length*r;for(let r=0;r<a;++r)i[r].draw(e,t,n,o)}}}function I(e,t){re(e),e.fill(0),e.rect(0,0,500,500),ie(e),e.noStroke(),e.f
    OP_PUSHDATA2(77) ill(dr(cr("#000000"),.5)),e.push(),e.translate(250,250),e.scale(t),e.translate(-250,-250),e.beginShape(),e.vertex(235.2,24.9),e.bezierVertex(215,24.6,185,11.4,164.8,11),e.bezierVertex(147.2,10.7,129.3,10.4,112.2,14.7),e.bezierVertex(95.1,19,78.5,28.5,69.6,43.8),e.bezierVertex(57.699,64.199,61.599,90.199,70.199,112.2),e.bezierVertex(78.799,134.2,91.6,154.6,97.199,177.5),e.bezierVertex(102.499,199.2,100.899,222.5,92.799,243.2),e.bezierVertex(83,268,64.6,288.3,48.9,310),e.bezierVertex(33.2,331.7,24.5,337.5,26.599,364.
    OP_PUSHDATA2(77) 1),e.bezierVertex(28.2,384.1,61.399,404.2,75.7,418.3),e.bezierVertex(90,432.4,73.7,488.2,91.9,496.7),e.bezierVertex(124.2,511.6,159,472.5,194.3,468.1),e.bezierVertex(211.6,465.9,267.4,501.5,283.9,495.9),e.bezierVertex(340.7,476.7,298.599,428.9,355.4,409.7),e.bezierVertex(370.799,404.5,454.5,407.6,464.4,394.8),e.bezierVertex(478.599,376.3,474.7,349.3,464.299,328.4),e.bezierVertex(453.9,307.5,438.099,289.5,428.699,268.2),e.bezierVertex(412,230,419,182.6,446.1,150.9),e.bezierVertex(449.7,146.7,453.6,142.7,455.8,137.6)
    OP_PUSHDATA2(77) ,e.bezierVertex(459.4,129.299,457.5,119.6,454.8,111),e.bezierVertex(443.2,73.4,417.3,40.4,383.6,20.299),e.bezierVertex(358.1,5,343.2,-.4,313.5,0),e.bezierVertex(287.5,.4,261.6,25.4,235.2,24.9),e.endShape(),e.pop()}function C(e,t,n,r,i,o){let a,l,s;re(t),t.fill(0),t.rect(0,0,500,500),ie(t),t.noStroke(),t.fill(dr(n,.5)),1==i?(l=0,s=25,a=map(o,0,25,500,0)):a=0,t.rect(0,a,500,500),e.noStroke(),e.fill(r),e.rect(0,0,500,500),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezier
    OP_PUSHDATA2(77) Vertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9
    OP_PUSHDATA2(77) ,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(2
    OP_PUSHDATA2(77) 33.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9
    OP_PUSHDATA2(77) ),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),e.fill(n),e.beginShape(),e.vertex(435.2,373.8),e.bezierVertex(433.7,384.1,433.3,393.7,430.8,402.7),e.bezierVertex(424.1,426.3,408.9,442.9,386.3,452.5),e.bezierVertex(383.2,453.8,381,455.5,379,458.3),e.bezierVertex(348.6,501.7,285,502.4,253.5,459.8),e.bezierVertex(252.5,458.4,251.4,457.1,250.3,455.6),e.bezierVertex(246.2,460.3,242.7,465.1,238.5,469.1),
    OP_PUSHDATA2(77) e.bezierVertex(203.8,502.8,148.8,497.4,120.7,457.8),e.bezierVertex(119.3,455.8,117,453.9,114.7,452.9),e.bezierVertex(84.9,440.6,66.2,412.9,66.4,380.7),e.bezierVertex(66.4,376.3,65.3,373.7,61.7,371.1),e.bezierVertex(33.5,350.4,25.3,313.2,41.8,282.4),e.bezierVertex(43.2,279.9,43.6,278,42.1,275.1),e.bezierVertex(28.2,247.7,30.4,221.6,49.6,197.3),e.bezierVertex(51.7,194.6,51.7,192.3,51.2,189.4),e.bezierVertex(46.8,164.8,53.5,143.7,71.1,126.1),e.bezierVertex(77.699,119.6,85.399,114.8,94,111.5),e.bezierVertex(96.1,110.7,
    OP_PUSHDATA2(77) 98.3,109.9,100.7,109),e.bezierVertex(100.2,106,99.8,103.2,99.4,100.4),e.bezierVertex(96.6,79.7,107.1,58.7,125.2,48.2),e.bezierVertex(129.4,45.8,133.4,43.2,137.3,40.3),e.bezierVertex(154.2,28,172.3,18,192.5,12.1),e.bezierVertex(202.7,9.1,213.1,7.2,223.8,8.8),e.bezierVertex(233.8,10.3,242.4,14.9,249.7,22.4),e.bezierVertex(250.7,21.7,251.6,21.2,252.3,20.5),e.bezierVertex(263.8,9.9,277.5,6.8,292.6,9),e.bezierVertex(316.9,12.6,338.1,23.5,358.1,37.1),e.bezierVertex(364.3,41.3,370.5,45.5,376.9,49.5),e.bezierVertex(395,61,
    OP_PUSHDATA2(77) 404.3,82.9,400,104.5),e.bezierVertex(399.7,105.9,399.5,107.3,399.2,108.9),e.bezierVertex(402.7,110.3,406,111.4,409.3,112.9),e.bezierVertex(438.5,125.8,455.1,157.3,449,188.7),e.bezierVertex(448.3,192.4,448.6,195.2,451.3,198.4),e.bezierVertex(469,219.5,471.6,249.7,458.1,274.9),e.bezierVertex(456.7,277.5,456.5,279.4,458,282.2),e.bezierVertex(475.1,314.2,466.5,351.1,437,372.3),e.bezierVertex(436.2,373.1,435.1,373.8,435.2,373.8),e.endShape(),re(e),e.fill(r),e.beginShape(),e.vertex(184.3,473.2),e.bezierVertex(164,473.2,1
    OP_PUSHDATA2(77) 44.7,462.099,134,444.3),e.bezierVertex(131.7,440.5,129.1,438.5,125,437.1),e.bezierVertex(97.3,428.1,80.5,400.6,85.2,371.8),e.bezierVertex(86.3,365.1,85.8,364.1,79.9,361.2),e.bezierVertex(57.2,349.8,46.2,323.3,54.3,299.7),e.bezierVertex(54.7,298.599,55.1,297.7,55.5,296.9),e.bezierVertex(55.6,296.599,55.8,296.4,55.9,296.099),e.vertex(57.9,291.499),e.vertex(62.5,293.599),e.bezierVertex(64.9,294.7,67.3,295.799,69.5,296.9),e.bezierVertex(74.5,299.299,79.1,301.599,83.9,303.099),e.bezierVertex(89.8,304.9,96.5,305.499,102.
    OP_PUSHDATA2(77) 7,305.9),e.bezierVertex(102.8,305.9,102.9,305.9,103,305.9),e.bezierVertex(106.6,305.9,108.9,302.799,109,299.799),e.bezierVertex(109.1,296.199,106.6,293.4,102.7,292.799),e.bezierVertex(101.3,292.599,99.9,292.4,98.4,292.299),e.bezierVertex(94.3,291.799,90.1,291.299,86,289.9),e.bezierVertex(68.9,284,56.5,270.2,52.7,252.799),e.bezierVertex(48.9,235.499,54.5,217.7,67.6,205.299),e.bezierVertex(71.9,201.299,72.7,198.1,70.8,192.399),e.bezierVertex(64.2,172.2,68.8,153.99,84.2,139.599),e.bezierVertex(94.2,130.199,105.5,125.3
    OP_PUSHDATA2(77) 99,117.8,125.399),e.bezierVertex(124.3,125.399,131.1,126.799,137.8,129.599),e.bezierVertex(157,137.399,167.9,152.799,169.4,173.99),e.vertex(169.4,174.399),e.bezierVertex(169.5,175.899,169.6,177.2,169.9,178.299),e.bezierVertex(170.7,181.2,173.2,183.2,176.1,183.2),e.bezierVertex(176.299,183.2,176.5,183.2,176.7,183.2),e.bezierVertex(180.1,182.899,182.6,180.299,182.7,177),e.bezierVertex(183.1,162,178.299,148.2,168.399,136.1),e.bezierVertex(158.2,123.5,144.899,115.8,128.799,113.199),e.bezierVertex(123.499,112.299,120.39
    OP_PUSHDATA2(77) 9,109.799,118.899,104.99),e.bezierVertex(113.899,89.699,120.699,72.299,134.899,64.499),e.bezierVertex(139.99,61.699,145.799,60.199,151.7,60.199),e.bezierVertex(162.2,60.199,171.899,64.799,178.1,72.699),e.bezierVertex(179.6,74.6,180.799,76.6,181.9,78.499),e.vertex(182.2,79.099),e.bezierVertex(183.2,80.699,185.2,83.299,188.4,83.299),e.bezierVertex(189.5,83.299,190.6,82.99,191.7,82.399),e.bezierVertex(195.1,80.599,196,76.99,194,72.799),e.bezierVertex(190.1,64.799,184.1,58.499,175.6,53.299),e.bezierVertex(174.6,52.699,
    OP_PUSHDATA2(77) 173.7,52.099,172.5,51.499),e.vertex(170.5,50.299),e.vertex(163,45.899),e.vertex(170.5,41.599),e.bezierVertex(182,34.99,193.1,30.799,204.4,28.599),e.bezierVertex(208.6,27.799,212.9,27.399,217.2,27.399),e.bezierVertex(217.6,27.399,217.9,27.399,218.3,27.399),e.bezierVertex(231.4,27.599,242.7,38.199,243,50.599),e.bezierVertex(243.4,64.899,243.3,78.99,243.2,93.799),e.bezierVertex(243.2,99.799,243.1,105.899,243.1,112.099),e.vertex(243.1,119.199),e.vertex(236.4,116.799),e.bezierVertex(235.7,116.499,235,116.299,234.4,115.9
    OP_PUSHDATA2(77) 9),e.bezierVertex(233.4,115.599,232.6,115.299,232,115.199),e.bezierVertex(230.6,114.899,229.2,114.599,227.8,114.299),e.bezierVertex(223.8,113.499,220.1,112.699,216.4,112.499),e.vertex(216.2,112.499),e.bezierVertex(212.5,112.499,210.7,115.599,210.6,118.599),e.bezierVertex(210.4,122.399,212.7,125.099,216.4,125.399),e.bezierVertex(230.1,126.399,238.9,133.099,242.3,145.199),e.bezierVertex(243.2,148.399,243.2,151.599,243.2,154.499),e.vertex(243.2,155.099),e.bezierVertex(243.2,254.199,243.2,330,243.2,400.599),e.bezierVer
    OP_PUSHDATA2(77) tex(243.2,401.99,243.2,403.4,243.2,404.9),e.bezierVertex(243.3,411.099,243.3,417.599,242.3,423.9),e.bezierVertex(238.1,449.2,219.6,467.799,194,472.5),e.bezierVertex(190.9,472.9,187.6,473.2,184.3,473.2),e.endShape(),e.beginShape(),e.vertex(315.8,473.1),e.bezierVertex(309.3,473.1,302.8,472,296.5,469.9),e.bezierVertex(270.4,461,253.8,434.9,257.1,407.9),e.bezierVertex(260,384,273.8,366.8,297,358.3),e.bezierVertex(297.7,358.1,298.3,357.8,299,357.6),e.bezierVertex(299.8,357.3,300.6,357.1,301.2,356.8),e.bezierVertex(304.3
    OP_PUSHDATA2(77) ,355.4,306,351.8,304.9,348.7),e.bezierVertex(304,345.9,301.7,344.2,299,344.2),e.bezierVertex(298.6,344.2,298.1,344.2,297.6,344.3),e.bezierVertex(288.1,346.3,279,350.9,269.7,358.3),e.bezierVertex(268.9,358.9,268.1,359.6,267.2,360.4),e.vertex(265.5,361.8),e.vertex(258.5,367.6),e.vertex(257.4,358.6),e.bezierVertex(257.3,358,257.3,357.5,257.2,357.1),e.bezierVertex(257,356,256.9,354.9,256.9,353.7),e.bezierVertex(256.9,334.8,256.9,316,256.9,297.1),e.bezierVertex(256.9,260.3,256.9,222.3,256.8,185),e.bezierVertex(256.8,170
    OP_PUSHDATA2(77) .7,268.3,158.8,282.5,158.4),e.bezierVertex(284.8,158.3,286.7,157.6,287.9,156.2),e.bezierVertex(289.099,154.9,289.599,153.2,289.5,151.3),e.bezierVertex(289.3,147.5,286.7,145.1,282.7,145.1),e.bezierVertex(282.5,145.1,282.2,145.1,282,145.1),e.bezierVertex(278.8,145.3,275.5,146.1,272,146.9),e.bezierVertex(270.9,147.2,269.8,147.4,268.6,147.7),e.bezierVertex(267.9,147.9,267,148.2,265.8,148.7),e.bezierVertex(265.1,149,264.4,149.3,263.5,149.6),e.vertex(256.8,152),e.vertex(256.8,114.6),e.bezierVertex(256.8,95,256.8,75.4,256
    OP_PUSHDATA2(77) .8,55.9),e.bezierVertex(256.8,38,267.2,27.3,284.6,27.3),e.bezierVertex(285.3,27.3,285.9,27.3,286.6,27.3),e.bezierVertex(299,27.9,318.7,34.5,329.6,41.9),e.vertex(336.1,46.3),e.vertex(324.4,53.3),e.bezierVertex(316.2,58.2,310.2,64.6,306,72.9),e.bezierVertex(304.2,76.4,305.1,78.5,306.1,80),e.bezierVertex(307.4,81.9,309.4,83,311.6,83),e.bezierVertex(313.7,83,315.7,81.9,317.1,80.1),e.bezierVertex(317.4,79.7,317.8,79,318.1,78.4),e.bezierVertex(318.4,77.9,318.7,77.3,319,76.8),e.bezierVertex(325.3,66.2,336.3,59.9,348.5,59.
    OP_PUSHDATA2(77) 9),e.bezierVertex(353.2,59.9,357.8,60.8,362.1,62.7),e.bezierVertex(377.6,69.3,386,86.7,381.7,103.2),e.bezierVertex(380.7,107.1,378.5,111.8,371.1,113.1),e.bezierVertex(342.7,118.1,322.2,139.1,317.8,167.8),e.bezierVertex(317.4,170.3,317.3,173.2,317.4,176.5),e.bezierVertex(317.5,180,320.1,182.8,323.5,183),e.bezierVertex(323.6,183,323.8,183,323.9,183),e.bezierVertex(327.1,183,329.8,180.6,330.3,177.2),e.bezierVertex(330.6,175.7,330.7,174,330.9,172.3),e.bezierVertex(331.1,169.8,331.4,167.3,332,164.7),e.bezierVertex(337.3
    OP_PUSHDATA2(77) ,141.9,357.7,125.4,380.7,125.4),e.bezierVertex(382.5,125.4,384.3,125.5,386.1,125.7),e.bezierVertex(412.8,128.9,432.6,150.9,432,176.9),e.bezierVertex(431.9,182.3,430.9,187.7,429.1,192.7),e.bezierVertex(427.2,197.9,428,201,432.3,205),e.bezierVertex(446.8,218.7,451.8,236,446.6,255),e.bezierVertex(441.4,274,428.3,286.5,408.7,291.3),e.bezierVertex(406.1,291.9,403.6,292.1,401.1,292.3),e.bezierVertex(400,292.4,398.9,292.5,397.9,292.6),e.bezierVertex(393.6,293.1,390.9,295.7,391,299.5),e.bezierVertex(391.1,303.4,394,305.8,3
    OP_PUSHDATA2(77) 98.5,305.8),e.bezierVertex(409.9,305.8,420.8,302.6,431.1,296.4),e.bezierVertex(431.8,296,432.5,295.5,433.2,295.1),e.bezierVertex(433.8,294.7,434.5,294.3,435.2,293.9),e.bezierVertex(436,293.4,436.6,293.2,437.2,293.1),e.bezierVertex(437.4,293,437.7,292.9,438.1,292.8),e.vertex(442.5,291.4),e.vertex(444.2,295.7),e.bezierVertex(450.9,312.4,449.5,328.4,440,343.4),e.bezierVertex(435.3,350.8,428.7,356.7,420.2,361.1),e.bezierVertex(414.3,364.1,413.7,365.2,414.8,371.7),e.bezierVertex(419.5,400.2,403,427.6,375.6,436.9),e.bezi
    OP_PUSHDATA2(77) erVertex(371,438.5,368.3,440.7,365.8,444.7),e.bezierVertex(355.2,462.5,336.4,473.1,315.8,473.1),e.bezierVertex(315.8,473.1,315.8,473.1,315.8,473.1),e.endShape(),ie(e),e.fill(n),e.beginShape(),e.vertex(120.2,279.9),e.bezierVertex(117.9,279.9,112.4,279.299,112.2,273.599),e.bezierVertex(112,267.7,117.4,266.7,119.7,266.599),e.bezierVertex(133.1,265.799,143.1,259.499,149.3,247.899),e.bezierVertex(149.6,247.299,150.1,246.399,150.3,245.399),e.bezierVertex(150.6,244.299,150.5,243.299,150.5,242.7),e.bezierVertex(150.5,242.6
    OP_PUSHDATA2(77) ,150.5,242.5,150.5,242.299),e.vertex(150.3,238.799),e.vertex(141.1,235.99),e.bezierVertex(114.6,227.799,95.6,202.499,95.9,175.799),e.bezierVertex(95.9,173.99,96.4,168.199,102.2,168.199),e.bezierVertex(102.6,168.199,103,168.199,103.4,168.299),e.bezierVertex(104.8,168.499,108.2,168.899,109.2,175.599),e.bezierVertex(109.3,176.599,109.5,177.599,109.6,178.499),e.bezierVertex(110.4,184.199,111.3,189.99,113.7,195.499),e.bezierVertex(121.9,213.99,139.5,225.499,159.7,225.499),e.bezierVertex(172.1,225.499,184.1,220.899,193.5
    OP_PUSHDATA2(77) ,212.599),e.bezierVertex(194,212.199,194.4,211.799,194.8,211.399),e.bezierVertex(195.1,211.099,195.5,210.799,195.8,210.399),e.bezierVertex(197.4,208.99,199.2,208.2,200.9,208.2),e.bezierVertex(202.5,208.2,204,208.899,205.3,210.1),e.bezierVertex(208,212.9,207.9,216.9,205,219.9),e.bezierVertex(196.5,228.6,186.3,234.3,174.7,236.8),e.bezierVertex(168.799,238.1,165.6,241,163.899,246.7),e.bezierVertex(158.3,265.9,139.9,279.7,120.2,279.9),e.vertex(120.2,279.9),e.endShape(),e.beginShape(),e.vertex(187.2,427.5),e.bezierVerte
    OP_PUSHDATA2(77) x(183.799,427.5,181.299,425.3,180.799,422),e.bezierVertex(180.6,420.8,180.499,419.5,180.399,418.1),e.bezierVertex(180.299,417,180.2,415.8,180.099,414.7),e.bezierVertex(177.199,390.5,156.699,371.3,132.399,370.2),e.bezierVertex(131.99,370.2,131.499,370.2,131.099,370.2),e.bezierVertex(130.699,370.2,130.299,370.2,129.799,370.2),e.bezierVertex(125.99,369.9,123.199,367.2,123.099,363.6),e.bezierVertex(122.99,360.2,125.799,357.3,129.599,356.9),e.bezierVertex(130.499,356.8,131.499,356.8,132.599,356.7),e.bezierVertex(133.199
    OP_PUSHDATA2(77) ,356.7,133.799,356.7,134.399,356.6),e.vertex(138.299,356.4),e.vertex(139.1,352.6),e.bezierVertex(139.5,350.7,139.799,348.9,140.2,347),e.bezierVertex(140.899,343.4,141.5,340,142.399,336.8),e.bezierVertex(150.099,310.7,174.399,292,201.399,291.3),e.vertex(201.599,291.3),e.bezierVertex(203.699,291.3,206.299,292,208.299,293.2),e.bezierVertex(210.499,294.5,210.699,297.5,209.99,299.8),e.bezierVertex(209.499,301.5,208.199,303.9,203.299,304.7),e.bezierVertex(202.199,304.9,200.99,305,199.799,305.2),e.bezierVertex(194.499,305
    OP_PUSHDATA2(77) .9,188.99,306.599,183.799,308.9),e.bezierVertex(165.499,316.799,155.199,331.299,152.99,352),e.bezierVertex(152.399,357.8,154.499,361.7,159.699,364.5),e.bezierVertex(178.199,374.4,189.399,390,193.099,410.9),e.bezierVertex(193.699,414.299,193.899,418,193.599,422),e.bezierVertex(193.399,425.2,190.899,427.5,187.399,427.5),e.vertex(187.2,427.5),e.endShape(),e.beginShape(),e.vertex(364.3,281.1),e.bezierVertex(346.3,280.6,332.9,272.8,323.5,257),e.bezierVertex(321.6,253.9,320.4,250.2,319.2,246.7),e.bezierVertex(317.7,242.2
    OP_PUSHDATA2(77) ,315,239.799,310.5,238.799),e.bezierVertex(298.5,236.299,288,230.7,279.4,222.1),e.bezierVertex(276.7,219.4,274.9,215.299,278,211.9),e.bezierVertex(279.4,210.3,281,209.6,282.6,209.6),e.bezierVertex(284.4,209.6,286.4,210.6,288.3,212.5),e.bezierVertex(297.8,221.8,310.4,226.9,323.9,226.9),e.bezierVertex(340.2,226.9,355.1,219.3,364.8,206.2),e.bezierVertex(371,197.8,374.2,188.5,374.5,178.5),e.vertex(374.5,177.9),e.bezierVertex(374.5,177,374.5,176.1,374.7,175.4),e.bezierVertex(375.3,171.8,377.9,169.5,381.3,169.5),e.bezier
    OP_PUSHDATA2(77) Vertex(381.4,169.5,381.5,169.5,381.7,169.5),e.bezierVertex(385.4,169.7,388,172.4,388,176.1),e.bezierVertex(388.1,190.7,383.4,204,374.2,215.8),e.bezierVertex(365.8,226.5,354.7,233.9,341.2,237.9),e.bezierVertex(340,238.3,338.7,238.6,337.3,239.1),e.bezierVertex(335.9,239.6,335.1,240.4,334.7,240.9),e.bezierVertex(334.599,241,334.5,241.1,334.4,241.2),e.vertex(331.799,243.6),e.vertex(333.199,246.8),e.bezierVertex(338.199,258,346.799,264.9,358.699,267.3),e.bezierVertex(360.199,267.6,361.599,267.7,362.99,267.9),e.bezierVer
    OP_PUSHDATA2(77) tex(363.599,268,364.299,268,364.899,268.1),e.bezierVertex(369.099,268.6,371.799,271.4,371.499,275),e.bezierVertex(371.199,278.6,368.299,281.2,364.399,281.2),e.vertex(364.3,281.1),e.endShape(),e.beginShape(),e.vertex(323.9,437),e.bezierVertex(323.7,437,323.5,437,323.299,437),e.bezierVertex(319.599,436.7,317.299,434.1,317.4,430.2),e.bezierVertex(317.9,406.099,328.299,388,349.5,375),e.bezierVertex(350.7,374.2,352,373.5,353.4,372.8),e.bezierVertex(354.099,372.4,354.7,372.1,355.299,371.7),e.vertex(357.499,370.5),e.verte
    OP_PUSHDATA2(77) x(357.799,368),e.bezierVertex(360.4,346.6,345.199,323.7,323.9,317),e.bezierVertex(319.099,315.5,314.099,314.9,309.299,314.4),e.vertex(308.199,314.299),e.bezierVertex(305.99,314.099,300.799,312.9,300.899,307.299),e.bezierVertex(300.99,303.499,303.899,300.9,308.099,300.9),e.vertex(308.299,300.9),e.bezierVertex(327.099,301.299,343.099,308.7,355.699,322.9),e.bezierVertex(364.299,332.5,369.399,344.099,370.99,357.299),e.bezierVertex(371.099,358.4,371.299,359.4,371.499,360.499),e.bezierVertex(371.599,360.99,371.699,361.49
    OP_PUSHDATA2(77) 9,371.799,361.99),e.vertex(372.499,365.899),e.vertex(377.899,366.199),e.bezierVertex(378.799,366.299,379.699,366.299,380.599,366.399),e.bezierVertex(385.099,366.699,387.899,369.399,387.799,373.299),e.bezierVertex(387.699,377.099,384.99,379.599,380.799,379.799),e.bezierVertex(369.799,380.199,359.99,383.299,351.899,389.299),e.bezierVertex(338.799,398.799,331.699,411.699,330.699,427.499),e.vertex(330.699,428.299),e.bezierVertex(330.599,429.199,330.599,430.099,330.499,430.799),e.bezierVertex(330,434.7,327.5,437,323.9,4
    OP_PUSHDATA2(77) 37),e.endShape()}function T(e){return e[0].map(((t,n)=>e.map((e=>e[n]))))}function A(e){return e.map((e=>Array.isArray(e)?A(e):e))}function D(e,t){return floor(random(e,t))}function k(e){let t=0;for(const n of e)t+=n[1];let n=random(t),r=0;for(const t of e)if(r+=t[1],n<r)return t[0];return null}function L(e){for(let t=1;t<e.length;++t){let n=D(0,t),r=e[t];e[t]=e[n],e[n]=r}}function P(e){return null==e||""===e}function O(e){return new Promise((t=>setTimeout(t,e)))}function F(e,t,n){let r=0;for(let i=1;i<=1e3;++i)for
    OP_PUSHDATA2(77) (let o=1;o<=1e3;++o)if(e*o%(t*i)==0){let e=1*i/o;abs(e-n)<abs(r-n)&&(r=e)}return r}function N(){let e=60*(new Date).getTimezoneOffset()*1e3;return new Date(Date.now()-e).toISOString().slice(0,-1)}function B(e,t,n){let r;if(push(),textSize(e),textWidth(t)<=n)r=t;else for(let e=0;e<t.length;++e){const i=t.slice(0,e+1)+"...";if(textWidth(i)>n){r=i;break}}return pop(),r}function Y(e){var t=e%10,n=e%100;return 1==t&&11!=n?e+"st":2==t&&12!=n?e+"nd":3==t&&13!=n?e+"rd":e+"th"}class G{constructor(e,t,n){this.n=t,this.m=n,th
    OP_PUSHDATA2(77) is.mat=[];let r=0;for(let t=0;t<this.n;++t){this.mat.push([]);for(let n=0;n<this.m;++n)this.mat[t].push(r<e.length?e[r]:0),r+=1}return this}copy(){return new G(this.mat.flat(),this.n,this.m)}}class H{static __linear=e=>e;static __relu=e=>Math.max(e,0);static __leaky_relu=e=>e>0?e:.2*e;static __sigmoid=e=>1/(1+Math.exp(-e));static __tanh=e=>Math.tanh(e);static __apply_unary_op(e,t){const n=e.copy();for(let e=0;e<n.n;++e)for(let r=0;r<n.m;++r)n.mat[e][r]=t(n.mat[e][r]);return n}static linear=e=>H.__apply_unary_op(e,H
    OP_PUSHDATA2(77) .__linear);static relu=e=>H.__apply_unary_op(e,H.__relu);static leaky_relu=e=>H.__apply_unary_op(e,H.__leaky_relu);static sigmoid=e=>H.__apply_unary_op(e,H.__sigmoid);static tanh=e=>H.__apply_unary_op(e,H.__tanh);static __add=(e,t)=>e+t;static __mul=(e,t)=>e*t;static __apply_binary_op=(e,t,n)=>{"object"!=typeof t&&(t=new G([t],1,1));const r=e.copy();for(let e=0;e<r.n;++e)for(let i=0;i<r.m;++i)r.mat[e][i]=n(r.mat[e][i],t.mat[e%t.n][i%t.m]);return r};static mul=(e,t)=>H.__apply_binary_op(e,t,H.__mul);static add=(e,t)
    OP_PUSHDATA2(77) =>H.__apply_binary_op(e,t,H.__add);static matMul(e,t){const n=new G([],e.n,t.m);for(let r=0;r<n.n;++r)for(let i=0;i<n.m;++i)for(let o=0;o<e.m;++o)n.mat[r][i]+=e.mat[r][o]*t.mat[o][i];return n}static softmax(e){const t=H.__apply_unary_op(e,(e=>Math.exp(e))),n=t.mat.flat().reduce(((e,t)=>e+t));for(let r=0;r<e.n;++r)for(let i=0;i<e.m;++i)t.mat[r][i]/=n;return t}}class ${constructor(e,t){this.scale=e,this.offset=t}forward(e){return H.add(H.mul(e,this.scale),this.offset)}}class X{constructor(){}forward(e){return e.map((
    OP_PUSHDATA2(77) e=>e.flat()))}}class W{constructor(e,t,n,r){this.out_dim=e,this.activation=t,this.w=n,this.b=r}forward(e){const t=H.add(H.matMul(e,this.w),this.b);return null==this.activation?t:this.activation(t)}}class U{constructor(e,t,n){this.preprocessLayers=e,this.hiddenLayers=t,this.outputLayer=n,this.totalNeurons=this.hiddenLayers.map((e=>e.out_dim)),this.currentOrders=[],this.currentIteration=null}updateNeurons(e,t){if(t!=this.currentIteration){this.currentOrders=[];for(let e=0;e<this.totalNeurons.length;++e){randomSeed(10
    OP_PUSHDATA2(77) 0*(t+1)+e);const n=[];for(let t=0;t<this.totalNeurons[e];++t)n.push(t);L(n),this.currentOrders.push(n)}this.currentIteration=t}const n=A(this.totalNeurons),r=n.reduce(((e,t)=>e+t))*(1-e);for(let e=0;e<r;++e){const t=n.map(((e,t)=>(e-1)/this.totalNeurons[t]));n[t.map(((e,t)=>[e,t])).reduce(((e,t)=>t[0]>e[0]?t:e))[1]]-=Math.min(r-e,1)}this.neuronsLife=[];for(let e=0;e<n.length;++e){const t=this.currentOrders[e],r=Array(this.totalNeurons[e]).fill(0);for(let i=0;i<n[e];++i)r[t[i]]=Math.min(n[e]-i,1);this.neuronsLife.pu
    OP_PUSHDATA2(77) sh(r)}}getTotalNeurons(){return A(this.totalNeurons)}getNeuronsLife(){return A(this.neuronsLife)}forward(e){for(const t of this.preprocessLayers)e=t.forward(e);for(const[t,n]of this.hiddenLayers.entries()){e=n.forward(e);const r=new G(this.neuronsLife[t],1,e.m);e=H.mul(e,r)}return e=this.outputLayer.forward(e),H.softmax(e)}}function q(e){switch(e){case"relu":return H.relu;case"sigmoid":return H.sigmoid;case"tanh":return H.tanh;case"leaky_relu":return H.leaky_relu;default:return H.linear}}function j(e,t){const n=[],
    OP_PUSHDATA2(77) r=[],i=Z(t);let o=null,a=0,l=[];for(const t of e.config.layers)if("InputLayer"==t.class_name)o=t.config.batch_input_shape.slice(1),l=o;else if("Rescaling"==t.class_name)n.push(new $(t.config.scale,t.config.offset));else if("Flatten"==t.class_name)o=[o.reduce(((e,t)=>e*t))];else if("Dense"==t.class_name){const e=[t.config.units],n=o[0]*e[0],l=e[0],s=i.subarray(a,a+n);a+=n;const h=i.subarray(a,a+l);a+=l;const c=new G(s,o[0],e[0]),u=new G(h,1,e[0]),f=q(t.config.activation);r.push(new W(e[0],f,c,u)),o=e}const s=r.pop()
    OP_PUSHDATA2(77) ;return{model:new U(n,r,s),inputDim:l}}function Z(e){const t=window.atob(e),n=t.length/Float32Array.BYTES_PER_ELEMENT,r=new DataView(new ArrayBuffer(Float32Array.BYTES_PER_ELEMENT)),i=new Float32Array(n);let o=0;for(let e=0;e<n;e++){o=4*e;for(let e=0;e<4;++e)r.setUint8(e,t.charCodeAt(o+e));i[e]=r.getFloat32(0,!0)}return i}class K{constructor(e){this.elt=e,this._events={},this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight}position(){if(0===arguments.length)return{x:this.elt.offsetLeft,y:this.elt.offse
    OP_PUSHDATA2(77) tTop};var e="absolute";return"static"!==arguments[2]&&"fixed"!==arguments[2]&&"relative"!==arguments[2]&&"sticky"!==arguments[2]&&"initial"!==arguments[2]&&"inherit"!==arguments[2]||(e=arguments[2]),this.elt.style.position=e,this.elt.style.left=arguments[0]+"px",this.elt.style.top=arguments[1]+"px",this.x=arguments[0],this.y=arguments[1],this}show(){return this.elt.style.display="block",this}hide(){return this.elt.style.display="none",this}size(e,t){if(0===arguments.length)return{width:this.elt.offsetWidth,height:t
    OP_PUSHDATA2(77) his.elt.offsetHeight};var n=e,r=t;if(n!==te||r!==te){if(n===te?n=t*this.width/this.height:r===te&&(r=e*this.height/this.width),this.elt instanceof HTMLCanvasElement){var i,o={},a=this.elt.getContext("2d");for(i in a)o[i]=a[i];for(i in this.elt.setAttribute("width",n*this._pInst._pixelDensity),this.elt.setAttribute("height",r*this._pInst._pixelDensity),this.elt.style.width=n+"px",this.elt.style.height=r+"px",this._pInst.scale(this._pInst._pixelDensity,this._pInst._pixelDensity),o)this.elt.getContext("2d")[i]=o[i]}el
    OP_PUSHDATA2(77) se this.elt.style.width=n+"px",this.elt.style.height=r+"px",this.elt.width=n,this.elt.height=r;this.width=this.elt.offsetWidth,this.height=this.elt.offsetHeight,this._pInst&&this._pInst._curElement&&this._pInst._curElement.elt===this.elt&&(this._pInst._setProperty("width",this.elt.offsetWidth),this._pInst._setProperty("height",this.elt.offsetHeight))}return this}style(e,t){if(t instanceof Color&&(t="rgba("+t.levels[0]+","+t.levels[1]+","+t.levels[2]+","+t.levels[3]/255+")"),void 0===t){if(-1===e.indexOf(":"))return
    OP_PUSHDATA2(77) window.getComputedStyle(this.elt).getPropertyValue(e);for(var n=e.split(";"),r=0;r<n.length;r++){var i=n[r].split(":");i[0]&&i[1]&&(this.elt.style[i[0].trim()]=i[1].trim())}}else if(this.elt.style[e]=t,"width"===e||"height"===e||"left"===e||"top"===e){var o=window.getComputedStyle(this.elt).getPropertyValue(e).replace(/[^\d.]/g,"");this[e]=Math.round(parseFloat(o,10))}return this}value(){return arguments.length>0?(this.elt.value=arguments[0],this):"range"===this.elt.type?parseFloat(this.elt.value):this.elt.value}m
    OP_PUSHDATA2(77) ouseClicked(e){return this._adjustListener("click",e,this),this}isFocused(){return document.activeElement===this.elt}_adjustListener(e,t,n){return!1===t?this._detachListener(e,n):this._attachListener(e,t,n),this}_attachListener(e,t,n){n._events[e]&&this._detachListener(e,n);var r=t.bind(n);n.elt.addEventListener(e,r,!1),n._events[e]=r}_detachListener(e,t){var n=t._events[e];t.elt.removeEventListener(e,n,!1),t._events[e]=null}}function J(e,t){var n=document.createElement("button");return n.innerHTML=e,t&&(n.value=t)
    OP_PUSHDATA2(77) ,ee(n)}function Q(e){var t=arguments.length>1&&void 0!==arguments[1]&&arguments[1],n=function(t){var n=!0,r=!1,i=void 0;try{for(var o,a=t.target.files[Symbol.iterator]();!(n=(o=a.next()).done);n=!0){var l=o.value;File._load(l,e)}}catch(e){r=!0,i=e}finally{try{n||null==a.return||a.return()}finally{if(r)throw i}}};if(window.File&&window.FileReader&&window.FileList&&window.Blob){var r=document.createElement("input");return r.setAttribute("type","file"),t&&r.setAttribute("multiple",!0),r.addEventListener("change",n,!1)
    OP_PUSHDATA2(77) ,ee(r)}}function ee(e){return document.body.appendChild(e),new K(e)}createImg=function(){var e,t=document.createElement("img"),n=arguments;return n.length>1&&"string"==typeof n[1]&&(t.alt=n[1]),n.length>2&&"string"==typeof n[2]&&(t.crossOrigin=n[2]),t.src=n[0],e=ee(t,this),t.addEventListener("load",(function(){e.width=t.offsetWidth||t.width,e.height=t.offsetHeight||t.height;var r=n[n.length-1];"function"==typeof r&&r(e)})),e},createInput=function(){var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:"",t=a
    OP_PUSHDATA2(77) rguments.length>1&&void 0!==arguments[1]?arguments[1]:"text",n=document.createElement("input");return n.setAttribute("value",e),n.setAttribute("type",t),ee(n,this)};const te="auto";function ne(e){re(e);const t=e._rectMode;e.rectMode(CORNER),e.rect(0,0,e.width,e.height),e.rectMode(t),ie(e)}function re(e){e.push(),e.fill(255,255,255,255),e.blendMode(REMOVE)}function ie(e){e.blendMode(BLEND),e.pop()}File=function(e,t){this.file=e,this._pInst=t;var n=e.type.split("/");this.type=n[0],this.subtype=n[1],this.name=e.name,t
    OP_PUSHDATA2(77) his.size=e.size,this.data=void 0},File._createLoader=function(e,t){var n=new FileReader;return n.onload=function(n){var r=new File(e);if("application/json"===r.file.type)r.data=JSON.parse(n.target.result);else if("text/xml"===r.file.type){var i=(new DOMParser).parseFromString(n.target.result,"text/xml");r.data=new XML(i.documentElement)}else r.data=n.target.result;t(r)},n},File._load=function(e,t){if(/^text\//.test(e.type)||"application/json"===e.type)File._createLoader(e,t).readAsText(e);else if(/^(video|audio)\//
    OP_PUSHDATA2(77) .test(e.type)){var n=new File(e);n.data=URL.createObjectURL(e),t(n)}else File._createLoader(e,t).readAsDataURL(e)},XML=function(e){if(e)this.DOM=e;else{var t=document.implementation.createDocument(null,"doc");this.DOM=t.createElement("root")}},document.addEventListener("DOMContentLoaded",(function(){addEventListener("mousemove",(e=>{window.mouseX=e.pageX,window.mouseY=e.pageY}))})),new e("global");const oe="111";let ae,le,se,he,ce,ue,fe,de,xe,ge,pe,me,be,ye,we,ve,ze,Ve,_e,Me,Ee,Se,Re,Ie,Ce,Te,Ae,De,ke,Le,Pe,Oe,Fe,N
    OP_PUSHDATA2(77) e,Be,Ye,Ge,He,$e,Xe,We,Ue,qe,je,Ze,Ke,Je,Qe,et,tt,nt,rt,it,ot,at,lt,st,ht,ct,ut,ft,dt,xt,gt,pt,mt,bt,yt,wt,vt,zt,Vt,_t,Mt,Et,St,Rt,It,Ct,Tt,At=!1,Dt=!1,kt=!0,Lt=!1,Pt=!1;const Ot=[" ","Growing","Stable","Decaying","Dead","Rebirth"];let Ft,Nt,Bt,Yt,Gt,Ht,$t,Xt,Wt,Ut,qt,jt,Zt,Kt,Jt,Qt,en,tn,nn,rn,on,an,ln,sn,hn=0,cn=0,un=0,fn=!1,dn=!0,xn=!0,gn=null,pn=null,mn=null,bn=!1,yn=!1,wn=null,vn=null,zn=!1;async function setup(){let e=windowWidth,t=windowHeight;createCanvas(e,t),et=createGraphics(e,t),Xe=createGraphics(e,t),$
    OP_PUSHDATA2(77) e=createGraphics(e,t),We=createGraphics(e,t),Ue=createGraphics(e,t),qe=createGraphics(e,t),Qe=createGraphics(e,t),je=createGraphics(e,t),Ze=createGraphics(e,t),Ke=createGraphics(e,t),Je=createGraphics(e,t),tt=createGraphics(500,500),nt=createGraphics(500,500),rt=createGraphics(500,500),_n(),Mn(),Sn(),await En(),Gn(),Rn(),bn=!0}function _n(){Et=parseInt(oe),randomSeed(Et),noiseSeed(Et)}function Mn(){Wt=Ir(p.training_traits),Cr(Wt)}async function En(){let e;Jt=r(),Qt=o(),[Xt,e]=await Promise.all([s(Jt),h(Qt)]),Ut=new
    OP_PUSHDATA2(77) V(Wt.visual,e.layers_config,e.weight_b64),Ut.updateAge(new Date),_n(),Wt.training=e.training_traits,Ht=e.model_name,$t=e.classes_name}function Sn(){le=min(width,height)/1024,ut=Rr.findIndex((e=>e[0]===Wt.visual.colorPalette)),ft=[["#ffffff","#231f20","#231f20"],["#231f20","#ffffff","#ffffff"],["#104da8","#ffffff","#ffffff"],["#722F1F","#FCE1B2","#FCE1B2"],["#e88120","#f9f2e5","#f9f2e5"],["#f6b941","#2E2E2E","#2E2E2E"],["#45daaa","#012221","#012221"],["#F1F1F1","#328DFE","#328DFE"],["#111822","#D3EB8D","#D3EB8D"],[
    OP_PUSHDATA2(77) "#713FF9","#D6D5E6","#D6D5E6"],["#FBDA9D","#795106","#795106"],["#8f5b62","#ead0d0","#ead0d0"],["#eae4cb","#508cac","#508cac"],["#ffc6cc","#cc313d","#cc313d"],["#60A900","#E0FE00","#E0FE00"],["#507DBE","#D0D1D3","#D0D1D3"],["#305848","#E8F2EE","#E8F2EE"],["#2a2634","#5b6988","#cb78a2","#5b6988"],["#590e29","#fd5e53","#fd5e53","#ffe373"],["#0a141d","#57d4e4","#328195","#2A9ECF","#0ab6a8","#57d4e4"],["#3a2d28","#d5c2ac","#df6338","#3d9895","#d5c2ac"],["#030706","#77c4d9","#77c4d9","#77c4d9","#ffffff","#ffffff","#e720
    OP_PUSHDATA2(77) 20","#e72020"],["#3a4664","#92f5ff","#f9ff94","#eaa0a2","#55dde0"],["#fbfaff","#f04bb1","#f04bb1","#fac373","#82cef0","#8b31ce"],["#000000","#ffffff","#ff0002","#f26522","#fdff00","#00ff03","#01fffe","#0000ff","#ff00ff"]];for(let e=0;e<ft.length;++e)for(let t=0;t<ft[e].length;++t)ft[e][t]=cr(ft[e][t]);pt=[],ct=ft[ut][0],st=ft[ut][1]}function Rn(){gn=document.querySelector("#upload"),pn=document.querySelector("#inputUpload"),gn.addEventListener("dblclick",(()=>{if(!Lt&&!yn)if(In(Ie)&&cn==Ve-1)pn.click();else{if(4!=P
    OP_PUSHDATA2(77) e&&5!=Pe&&(In(Ie)||cn!=Ve-1))return;fn=!0,dn=!0,Bt=0,un=0}})),pn.addEventListener("click",(()=>{pn.value=null,gn.style.display="block"})),pn.addEventListener("change",(()=>{const[e]=pn.files;e?(se=null,gn.style.display="none",Tn(URL.createObjectURL(e)),mn=e):gn.style.display="block"}))}function In(e){for(let t=0;t<e.length;++t){let n=0;for(let r=0;r<e[t].length;++r)e[t][r]>0&&++n;if(0==n)return!1}return!0}function Cn(){null!=se&&(un=0,Pt=!0,he=0,ue=0,drewLineAnim=!0,ce=(ae/2+we/2)/le,loadImage(se.elt.src,(e=>{const
    OP_PUSHDATA2(77) [t,n,r]=Gt,i=createGraphics(t,n);i.image(e,0,0,t,n),i.loadPixels();const o=i.pixels.filter(((e,t)=>t%4!=3)),a=Ut.classifyImage(o);Zt=T([a,$t.map((e=>e.toUpperCase()))]).sort(((e,t)=>e[0]>t[0]?-1:1))})))}function Tn(e){se=createImg(e,""),se.hide(),Cn()}function An(){zn||(ce+=(width-ae-we)/tn/le),re(Xe),Xe.rect(ce*le,0,width,height),ie(Xe),un>=ge&&1==kt&&(kt=!1,un-=ge),kt&&(re($e),$e.strokeWeight(2*Fe),Jn(he,ze,ct,ct,$e),ie($e)),un>=ge&&0==kt&&(kt=!0,un-=ge,he+=1,he==en&&(++ue,he=0,ce=(ae/2+we/2)/le,1==ue&&(Pt=!1,Dn(
    OP_PUSHDATA2(77) ),ye=millis())))}function Dn(){At=!0,pe=!1,me=!1,tryButton=br("Try Again",width/2-225*le,height/2+265*le,290*le,40*le,kn),closeResultButton=br("Close",width/2+75*le,height/2+265*le,150*le,40*le,Ln)}function kn(){At=!1,tryButton.hide(),closeResultButton.hide(),pn.click()}function Ln(){Yt=!0,At=!1,Gn(),tryButton.hide(),closeResultButton.hide(),gn.style.display="block",se=null}function keyTyped(){bn&&!1===yn&&!1===yr()&&("i"!==key&&"I"!==key||(Dt=!Dt),"b"!==key&&"B"!==key||(xn=!xn),"s"!==key&&"S"!==key||!1!==Lt||saveC
    OP_PUSHDATA2(77) anvasAtCurrentTime(),"k"!==key&&"K"!==key||!1!==Lt||save4KCanvasAtCurrentTime(),"u"!==key&&"U"!==key||!1!==Lt||!1!==At||!1!==fn||!1!==Pt||On())}function On(){Lt=!0,wn=null,vn=null,submitButton=br("Submit",width/2-155*le,height/2+115*le,150*le,40*le,Fn),closeSettingButton=br("Close",width/2+5*le,height/2+115*le,150*le,40*le,Yn),vt=createInput(),vt.position(width/2-252.5*le,height/2-40*le),vt.size(500*le,25*le),vt.style("font-size","15px"),vt.value(Jt||""),zt=createInput(),zt.position(width/2-252.2*le,height/2+35*le)
    OP_PUSHDATA2(77) ,zt.size(500*le,25*le),zt.style("font-size","15px"),zt.value(Qt||"")}function Fn(){Vt=vt.value(),_t=zt.value(),submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide(),Lt=!1,yn=!0,Nn()}async function Nn(){[wn,vn,_]=await Promise.all([c(Vt),u(_t),O(1e3)]),yn=!1,wn&&vn?(n(Vt),i(_t),window.location.reload()):(Lt=!0,submitButton.show(),closeSettingButton.show(),vt.show(),zt.show())}function Bn(){Je.textFont("Trebuchet MS"),Je.noStroke(),pr(Je,600*le,200*le),Je.strokeWeight(1*le),Je.stroke(xt),Je.fill(xt),Je.te
    OP_PUSHDATA2(77) xtSize(50*le),Je.text("update()",width/2,height/2+2.5*le)}function Yn(){wn=null,vn=null,Lt=!1,submitButton.hide(),closeSettingButton.hide(),vt.hide(),zt.hide()}function Gn(){_n(),nn=Date.now(),pe=!1,me=!1,St=Wt.training.structure_gen,Rt=Wt.visual.birthYear,It=Wt.visual.lifeCycle,Ct=Wt.training.epoch_num,Tt=Wt.training.activation_func,Ft=Mr.findIndex((e=>e[0]==Wt.visual.hardwareAcceleration))+1,1==Ft?(Nt=30,fe=40):2==Ft?(Nt=15,fe=20):(Nt=2,fe=10);const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,r
    OP_PUSHDATA2(77) n=e.growth,sn=e.rebirthCount,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),ae=100*le,ht=50*le,Oe=Sr.findIndex((e=>e[0]==Wt.visual.nodeShape))+1,dt=Er.findIndex((e=>e[0]==Wt.visual.nodeFill))+1,lt=_r.findIndex((e=>e[0]==Wt.visual
    OP_PUSHDATA2(77) .pattern))+1,de=Math.tanh(Math.log10(Xt.avgfeerate)),de=map(de,0,1,.2,.8),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.push(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=
    OP_PUSHDATA2(77) min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce[e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(
    OP_PUSHDATA2(77) e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,at=.7,pt=[],xt=ft[ut][2],gt=ft[ut][ft[ut].length-1];for(let e=3;e<ft[ut].length-1;e++)pt.push(ft[ut][e]);mt=sr(xt,gt,pt,width),bt=[],wt=[],yt=width/(Ve-1);for(let e=0;e<Ve;e++)bt.push(hr(mt,yt*e/
    OP_PUSHDATA2(77) width)),wt.push(hr(mt,yt*e/width));wt.unshift(bt[0]),wt.push(bt[bt.length-1]),hn=0,cn=0,un=0,Yt=!0;const n={xLeft:ae/8,xRight:width-ae/8,yTop:ae/8,yBottom:height-ae/8},r=Ce.map((e=>e.length));jt=new R(bt,r,n,Oe,le)}function Hn(e,t){let n=Ce[e].length;return[e*we+we/2+ae/2,height/2-(n-1)/2*ve+t*ve]}function $n(e,t){le=min(e,t)/1024,ae=100*le,ht=50*le,we=(e-ae)/Ve,ve=(t-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}
    OP_PUSHDATA2(77) }xe=floor(De.length*de),Le=[],ke=[],ge=floor(map(de,.2,.8,15,2));for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le,mt=sr(xt,gt,pt,e),bt=[],wt=[],yt=e/(Ve-1);for(let t=0;t<Ve;t++)bt.push(hr(mt,yt*t/e)),wt.push(hr(mt,yt*t/e));wt.unshift(bt[0]),wt.push(bt[bt.length-1])}function Xn(){const e=Ut.getBrainStatus();Gt=e.inputDim,Kt=e.stageRatio,Pe=e.stage,rn=e.growth,sn=e.rebirthCoun
    OP_PUSHDATA2(77) t,on=e.nextStateTimestamp,an=e.nextStableTimestamp,Mt=e.age,window.$state=Pe,window.$age=Math.ceil(Mt),window.$artworkName=`Perceptron #${Et}`,window.$statePercentage=e.statePercentage,window.$nextState=Pe%5+1,window.$nextStateTimestamp=vr(new Date(on)),window.$rebirthCount=sn,window.$introText=wr(Pe,Math.ceil(Mt),`Perceptron #${Et}`,$t),inputNodes=1,Ye=1,Ge=[],He=[],Ie=e.neuronsLife,Ce=[],Ae=1,ln=Ie.map((e=>e.length)).reduce(((e,t)=>e+t));for(let e=0;e<Ye;e++)Ge.push(1);for(let e=0;e<inputNodes;e++)He.push(1);Ie.p
    OP_PUSHDATA2(77) ush(Ge);for(let e=0;e<Ie.length;e++)Ie[e].length>30?Ae*=0:Ae*=1;Se=[];for(let e=0;e<Ie.length;e++)Se.push(Ie[e].length);if(Ee=max(...Se),Te=ceil(Ee/30),Re=max(...Se.slice(0,-1)),0==Ae)for(let e=0;e<Ie.length;e++){Ce[e]=[];for(let t=0;t<Ie[e].length;t+=Te){let n=0,r=min(Ie[e].length-t,Te);for(let i=0;i<r;i++)n+=Ie[e][t+i]/r;Ce[e].push(n),n=0}}else Ce=Ie;if(Ce.unshift(He),1==Pe){for(let e=0;e<Ce.length;e++){let t=[];for(let n=0;n<Ce[e].length;n++)0!=Ce[e][n]&&t.push(Ce[e][n]);Ce[e]=t}for(let e=0;e<Ce.length;e++)0==Ce
    OP_PUSHDATA2(77) [e].length&&Ce[e].push(0)}Me=[];for(let e=0;e<Ce.length;e++)Me.push(Ce[e].length);_e=max(...Me),Ve=Ce.length,we=(width-ae)/Ve,ve=(height-2*ae)/_e,ze=min(we,ve)/2,De=[];for(let e=0;e<Ce.length;e++){let t=Ce[e].length;for(let n=0;n<t;n++)if(1==Ce[e][n]){const[t,r]=Hn(e,n);De.push([t,r])}}tn=2*(Ve-1)*fe;const t=map(de,.2,.8,15,2);ge=F(tn/2,1,t),en=round(tn/(2*ge)),xe=floor(De.length*de),Le=[],ke=[];for(let e=0;e<en;e++){for(let e=0;e<xe;e++){let e=floor(random(1)*De.length);ke.push(De.slice(e,e+1)[0])}Le.push(ke),ke=[
    OP_PUSHDATA2(77) ]}Be=min(1/Ve,1/_e),Fe=map(Be,1/30,1,2,4)*le,Ne=map(Be,1/30,1,1,10)*le}function Wn(){jt.update();const e=4==Pe?0:Kt;jt.draw(Qe,ct,dt,e,le)}function Un(){if(!bn)return ar(),void et.image(je,0,0);if(4==Pe||5==Pe)return Wn(),void et.image(Qe,0,0);un>=Nt&&hn<Ve&&(hn++,un=0);for(let e=0;e<hn;e++)1==dt?it=ot=bt[e]:(it=ct,ot=bt[e]),Kn(e,it,ot,$e);un>=Nt&&cn<Ve-1&&(cn++,un=0);for(let e=0;e<cn;e++)Zn(e)}function qn(){et.background(ct),Ue.background(255),Ue.rectMode(CENTER),ne(Ue),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOL
    OP_PUSHDATA2(77) D),Ue.stroke(st),Ue.strokeWeight(8*le),Ue.fill(ct),Qe.background(255),Qe.rectMode(CENTER),ne(Qe),Qe.strokeWeight(le),qe.background(255),qe.rectMode(CENTER),ne(qe),qe.textAlign(LEFT),$e.background(255),$e.rectMode(CENTER),ne($e),Xe.background(255),ne(Xe),Xe.strokeWeight(Ne),We.background(255),We.rectMode(CENTER),ne(We),We.fill(st),We.stroke(st),We.strokeWeight(.1*le),er(lt),We.noStroke(),xn&&(We.rect(ae/16,height/2,ae/8,height),We.rect(width-ae/16,height/2,ae/8,height),We.rect(width/2,ae/16,width,ae/8),We.rect(width
    OP_PUSHDATA2(77) /2,height-ae/16,width,ae/8)),Ze.background(255),Ze.rectMode(CENTER),ne(Ze),Ze.textAlign(CENTER,CENTER),Ze.textStyle(BOLD),Ze.stroke(st),Ze.strokeWeight(8*le),Ze.fill(ct),je.background(255),je.rectMode(CENTER),ne(je),je.textAlign(CENTER,CENTER),je.textStyle(BOLD),Ke.background(255),Ke.rectMode(CENTER),ne(Ke),Ke.textAlign(CENTER,CENTER),Ke.textStyle(BOLD),Ke.stroke(st),Ke.strokeWeight(8*le),Ke.fill(ct),Je.background(255),Je.rectMode(CENTER),ne(Je),Je.textAlign(CENTER,CENTER),Je.textStyle(BOLD),Je.stroke(st),Je.stroke
    OP_PUSHDATA2(77) Weight(8*le),Je.fill(ct),Un(),et.image(We,0,0),Pt&&An(),et.image(Xe,0,0),et.image($e,0,0),At&&(tr(),et.image(Ue,0,0)),fn&&(lr(),et.image(Ze,0,0)),Lt&&(or(),et.image(Ke,0,0)),Dt&&(ir(),et.image(qe,0,0)),yn&&(Bn(),et.image(Je,0,0))}function draw(){const e=Date.now();bn&&(Ut.updateAge(new Date(e)),Xn()),qn(),image(et,0,0),zn||un++}function Zn(e){let t,n=Ce[e].length,r=Ce[e+1].length;for(let i=0;i<n;i++){const[n,o]=Hn(e,i);for(let a=0;a<r;a++){const[r,l]=Hn(e+1,a);t=map(min(Ce[e][i],Ce[e+1][a]),0,1,0,.5),ur(n,o,r,l,bt[
    OP_PUSHDATA2(77) e],bt[e+1],Xe,t)}}}function Kn(e,t,n,r){let i,o,a,l=Ce[e].length;for(let s=0;s<l;s++){const[l,h]=Hn(e,s);i=Ce[e][s],a=map(Be,1/30,1,3,10),o=map(Ce[e][s],0,1,2*a,0)*le,o<1.5*le&&(o=0),Qn(l,h,ze,Oe,t,n,o,i,r)}}function Jn(e,t,n,r,i){for(let o=0;o<Le[e].length;o++)Qn(Le[e][o][0],Le[e][o][1],t,Oe,n,r,0,1,i)}function Qn(e,t,n,r,i,o,a,l,s){s.stroke(dr(o,map(l,0,1,.25,1))),s.fill(dr(i,map(l,0,1,.15,1))),s.strokeWeight(Fe),fr([a],s),3==dt&&s.fill(dr(i,0)),1==r?s.ellipse(e,t,n):2==r?s.rect(e,t,7*n/8,7*n/8):3==r&&(s.beginSha
    OP_PUSHDATA2(77) pe(),s.vertex(e-4*n/7,t),s.vertex(e,t-4*n/7),s.vertex(e+4*n/7,t),s.vertex(e,t+4*n/7),s.endShape(CLOSE))}function er(e){if(1==e);else if(2==e){We.strokeWeight(1*le);for(let e=ht/4;e<width+ht/4;e+=ht)for(let t=ht/4;t<height+ht/4;t+=ht)We.point(e,t)}else if(3==e){ht=25*le;for(let e=ht/2;e<height+ht/2;e+=ht)We.line(0,e,width,e);for(let e=ht/2;e<width+ht/2;e+=ht)We.line(e,0,e,height)}}function tr(){Ue.textFont("Trebuchet MS"),Ue.textAlign(LEFT,CENTER),Ue.noStroke(),pr(Ue,800*le,500*le),Ue.noStroke(),Ue.fill(dr(st,.75)),
    OP_PUSHDATA2(77) Ue.rect(width/2,height/2-100*le,800*le,300*le,25*le,25*le,0,0),Ue.fill(st),Ue.rect(width/2-250*le,height/2-100*le,225*le,225*le),Ue.image(se.elt,width/2-357.5*le,height/2-207.5*le,215*le,215*le);let e=100*Zt[0][0];Ue.fill(ct),Ue.textSize(25*le),Ue.textStyle(NORMAL),1==me&&(e>=0&&e<20?Ue.text("I have a feeling this image belongs to",width/2-100*le,height/2-170*le):e>=20&&e<40?Ue.text("I have a hunch this image belongs to",width/2-100*le,height/2-170*le):e>=40&&e<60?Ue.text("I think this image belongs to",width/2-100
    OP_PUSHDATA2(77) *le,height/2-170*le):e>=60&&e<80?Ue.text("I'm almost certain this image belongs to",width/2-100*le,height/2-170*le):Ue.text("I'm positive this image belongs to",width/2-100*le,height/2-170*le));let t=e.toFixed(2);"100.00"==t&&(t="100"),1==me&&Ue.text("I'm "+t+"% confident that I'm right!",width/2-100*le,height/2-25*le),example=Zt.map((e=>e[1])),be=Ue.textWidth('"FIDENZAAAA"'),defaultPhrase=Ue.textWidth('"PERPENDICULAR INHABITATION"'),Ue.textStyle(BOLD);const n=me?example[0]:random(example);if(1===n.split(" ").lengt
    OP_PUSHDATA2(77) h){let e=75*be/Ue.textWidth('"'+n+'"');e>75&&(e=75),Ue.textSize(e*le),Ue.text('"'+n+'"',width/2-100*le,height/2-90*le)}else nr(width/2-100*le,height/2-90*le,460*le,110*le,n,Ue);if(millis()-ye>1500&&(me=!0),C(tt,nt,st,ct,Pe,Mt),Ue.image(nt,width/2-370*le,height/2+70*le,80*le,80*le),3==Pe){let e;e=map(Mt,50,60,.25,1.3),I(rt,e),Ue.image(rt,width/2-370*le,height/2+70*le,80*le,80*le)}let r,i;Ue.image(tt,width/2-370*le,height/2+70*le,80*le,80*le),Ue.fill(xt),Ue.textSize(40*le),Ue.text("INTELLIGENCE INFO",width/2-275*le,h
    OP_PUSHDATA2(77) eight/2+115*le),Ue.textSize(18*le),Ue.textStyle(NORMAL),Ue.circle(width/2-360*le,height/2+180*le,7.5*le),1==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It’s growing and getting smarter by the day.`:2==Pe?r=`Your Perceptron is ${Math.ceil(Mt)} years old. It’s stable and it has reached peak performance.`:3==Pe&&(r=`Your Perceptron is ${Math.ceil(Mt)} years old. It’s decaying and losing its luster.`),i=2==Pe?"The Perceptron remains stable for some time before entering the decay phase.":`Wait until ${new
    OP_PUSHDATA2(77) Date(an).toLocaleString("en-US")} for your Perceptron to reach its peak performance.`,Ue.text(r,width/2-350*le,height/2+180*le),Ue.circle(width/2-360*le,height/2+210*le,7.5*le),Ue.text(i,width/2-350*le,height/2+210*le),Ue.textAlign(CENTER,CENTER),Ue.textStyle(BOLD),gr(Ue,width/2-225*le,width/2+65*le,height/2+265*le,height/2+305*le,"SELECT ANOTHER IMAGE"),gr(Ue,width/2+75*le,width/2+225*le,height/2+265*le,height/2+305*le,"CLOSE")}function nr(e,t,n,r,i,o){let a=i.split(" "),l=75*be/o.textWidth('"'+i+'"'),s=0,h=[],c=
    OP_PUSHDATA2(77) [],u=[],f="",d="";if(l>=50)l>75&&(l=75),o.textSize(l*le),o.text('"'+i+'"',e,t);else if(l<50){if(l=50*defaultPhrase/o.textWidth('"'+i+'"'),l>30){if(l>50&&(l=50),[f,d]=rr(l,n,s,h,c,a,f,d,Ue),0==c.length)return o.textSize(l*le),void o.text('"'+i+'"',e,t);for(s=0,h=[],c=[];o.textWidth(d)>n/le;)l=l*n/le/o.textWidth(d),f="",d="",[f,d]=rr(l,n,s,h,c,a,f,d,Ue)}else{l=30,o.textSize(l);for(let e=0;e<a.length;e++)s+=o.textWidth(" "+a[e]),s<=n/le?h.push(a[e]):s>n/le&&s<=n/le*2?c.push(a[e]):u.push(a[e]);for(let e=1;e<h.length;e+
    OP_PUSHDATA2(77) +)f=f+" "+h[e];if(f='"'+h[0]+f,0==u.length){for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+c[c.length-1]+'"'}else if(1==c.length)d="... "+u[u.length-1]+'"';else{for(let e=0;e<c.length-1;e++)d=d+c[e]+" ";d=d+"... "+u[u.length-1]+'"'}}o.textSize(l*le);let r=1.25*(o.textDescent()+o.textAscent());o.text(f,e,t-r/2),o.text(d,e,t+r/2)}}function rr(e,t,n,r,i,o,a,l,s){s.textSize(e);for(let e=0;e<o.length;e++)(n+=s.textWidth(" "+o[e]))<=t/le?r.push(o[e]):i.push(o[e]);for(let e=1;e<r.length;e++)a=a+" "+r[e];if(a='"'+r[0]+a,0==
    OP_PUSHDATA2(77) i.length&&(a+='"',l=""),1==i.length)l=i[i.length-1]+'"';else{for(let e=0;e<i.length-1;e++)l=l+i[e]+" ";l=l+i[i.length-1]+'"'}return[a,l]}function ir(){const e=45*le;qe.textFont("Tahoma"),qe.stroke(st),qe.strokeWeight(2*le),qe.fill(ct),qe.rect(width/2,e/2+height-87.5*le,600*le,90*le),qe.fill(st),qe.rect(width/2-150*le,e+height-170*le,300*le,30*le),qe.fill(ct),qe.rect(width/2+150*le,e+height-170*le,300*le,30*le),qe.noStroke(),qe.fill(ct),qe.textSize(15*le),qe.textStyle(BOLD),qe.text("PERCEPTRON INFORMATION",width/2-2
    OP_PUSHDATA2(77) 85*le,e+height-165*le),qe.fill(xt),qe.text("ARTWORK NAME:",width/2+10*le,e+height-165*le),qe.textAlign(RIGHT),qe.textStyle(ITALIC),qe.text("Perceptron #"+Et,width/2+285*le,e+height-165*le);const[t,n]=It.split(" ");let r;"60 Years"===It?r="1 Year":"60 Months"===It?r="1 Month":"60 Weeks"===It?r="1 Week":"60 Days"===It?r="1 Day":"12 Hours"===It&&(r="12 Minutes"),data=[["AI MODEL NAME:",B(12*le,Ht,140*le)],["SCALE:","1:"+Te],["NUMBER OF CLASSES:",$t.length],["BIRTH YEAR:",Rt],["NUMBER OF REBIRTHS:",sn.toString()],["AGE
    OP_PUSHDATA2(77) :",`${Math.ceil(Mt)} Perceptron Years`],["ONE PERCEPTRON YEAR:",`${r}`],["STATE:",Ot[Pe]],["ACTIVE NEURONS:",`${round(ln*rn)} / ${ln}`],["NEXT STATE TIME:",vr(new Date(on))]],qe.fill(xt);const i=data.length/2;for(let t=0;t<data.length;++t){const n=t<i,r=n?width/2-285*le:width/2+10*le,o=n?width/2-10*le:width/2+285*le,a=e+height-(135-t%i*15)*le;qe.textStyle(BOLD),qe.textAlign(LEFT),qe.textSize(12*le),qe.text(data[t][0],r,a),qe.textStyle(ITALIC),qe.textAlign(RIGHT),qe.textSize(12*le),qe.text(data[t][1],o,a)}}function
    OP_PUSHDATA2(77) or(){Ke.textFont("Trebuchet MS"),Ke.noStroke(),pr(Ke,600*le,200*le),gr(Ke,width/2-155*le,width/2-5*le,height/2+115*le,height/2+155*le,"UPDATE"),gr(Ke,width/2+5*le,width/2+155*le,height/2+115*le,height/2+155*le,"CLOSE"),Ke.textAlign(LEFT),Ke.fill(xt),Ke.text("UPDATE BITCOIN FULL NODE ADDRESS",width/2-252.5*le,height/2-55*le),Ke.text("UPDATE MODEL ADDRESS",width/2-252.5*le,height/2+20*le),Ke.textAlign(RIGHT),Ke.textStyle(ITALIC),Ke.textSize(15*le),0==wn&&Ke.text("(*) Invalid Address",width/2+252.5*le,height/2-53*le),
    OP_PUSHDATA2(77) 0==vn&&Ke.text("(*) Invalid Model",width/2+252.5*le,height/2+23*le)}function ar(){je.textFont("Trebuchet MS"),je.fill(st),je.textSize(50*le),je.stroke(st),je.strokeWeight(1*le),je.text("main()",width/2,height/2)}function lr(){un>=20&&1==dn&&(dn=!1,un=0),dn&&(Ze.textFont("Trebuchet MS"),Ze.stroke(st),Ze.fill(ct),Ze.rect(width/2,height/2,600*le,150*le,25*le),Ze.fill(xt),Ze.textSize(75*le),Ze.noStroke(),1==Pe?Ze.text("GROWING",width/2,height/2+5*le):3==Pe?Ze.text("AGING",width/2,height/2+5*le):4==Pe?Ze.text("DEAD",wid
    OP_PUSHDATA2(77) th/2,height/2+5*le):5==Pe&&Ze.text("BIRTH",width/2,height/2+5*le)),un>=20&&0==dn&&(dn=!0,un=0,Bt++,3==Bt&&(fn=!1))}function sr(e,t,n,r){let i=[],o=r/(n.length+1),a=color(e),l=color(t);i.push(a);for(let e=0;e<n.length;e++){let t=color(n[e]);for(let e=1;e<=o;e++){let n=lerpColor(a,t,e/o);i.push(n)}a=t}for(let e=1;e<o;e++){let t=lerpColor(a,l,e/o);i.push(t)}if(i.push(l),i.length>r)i.splice(r);else if(i.length<r){let e=i[i.length-1];for(;i.length<r;)i.push(e)}return i}function hr(e,t){let n=e.length,r=Math.floor(t*n);r
    OP_PUSHDATA2(77) eturn r>=n&&(r=n-1),e[r]}function cr(e){e=e.replace("#","");var t=parseInt(e,16);return color(t>>16&255,t>>8&255,255&t)}function ur(e,t,n,r,i,o,a,l){var s=a.drawingContext.createLinearGradient(e,t,n,r);s.addColorStop(0,i),s.addColorStop(1,o),a.drawingContext.strokeStyle=s,a.drawingContext.globalAlpha=l,a.line(e,t,n,r),a.drawingContext.globalAlpha=1}function fr(e,t){t.drawingContext.setLineDash(e)}function dr(e,t){let n=color(e),r=red(n),i=green(n),o=blue(n);return color(r,i,o,255*t)}function xr(e,t,n,r){return mous
    OP_PUSHDATA2(77) eX>e&&mouseX<t&&mouseY>n&&mouseY<r}function gr(e,t,n,r,i,o){e.strokeWeight(1*le),e.stroke(st);const[a,l]=xr(t,n,r,i)?[xt,ct]:[ct,xt];e.fill(a),e.push(),e.rectMode(CORNERS),e.rect(t,r,n,i,5*le),e.pop(),e.noStroke(),e.textSize(20*le),e.fill(l),e.text(o,(t+n)/2,(46*r+54*i)/100)}function pr(e,t,n){e.fill(0,0,0,75),e.rect(width/2,height/2,width,height),e.stroke(st),e.fill(ct),e.rect(width/2,height/2,t,n,25*le)}function mr(e,t){resizeCanvas(e,t,!0),Xe.resizeCanvas(e,t,!0),$e.resizeCanvas(e,t,!0),We.resizeCanvas(e,t,!0),U
    OP_PUSHDATA2(77) e.resizeCanvas(e,t,!0),qe.resizeCanvas(e,t,!0),Qe.resizeCanvas(e,t,!0),je.resizeCanvas(e,t,!0),Ze.resizeCanvas(e,t,!0),Ke.resizeCanvas(e,t,!0),Je.resizeCanvas(e,t,!0),et.resizeCanvas(e,t,!0)}function br(e,t,n,r,i,o){const a=J(e);return a.position(t,n),a.size(r,i),a.style("opacity","0"),a.mouseClicked(o),a}function yr(){return null!=vt&&vt?.isFocused()||null!=zt&&zt?.isFocused()}function wr(e,t,n,r){let i;if(e<=3){i=`Hey ${String.fromCodePoint(128075)}, I'm ${n}, ${t} years old. I can detect ${r.length} NFT collecti
    OP_PUSHDATA2(77) ons: `;let e=0;for(let t=0;t<r.length;++t){const n=r[t];if(e+n.length>500){i+=", etc";break}t==r.length-1?i+=", and ":t>0&&(i+=", "),i+=n,e+=n.length}i+=". ",t<=5?i+="However, I am only a baby, so my recognition ability is not accurate. I'm in the state of Growing both looks and intelligence.":t<=13?i+="I am now a child. My recognition ability is becoming better, but still not very accurate. I'm in the state of Growing both looks and intelligence.":t<=25?i+="I have grown up to be a teen. My recognition ability almo
    OP_PUSHDATA2(77) st reaches the peak, but I will still mess up sometimes. I'm in the state of Growing both looks and intelligence.":t<=50?i+="I finally reach adulthood. My recognition is fully functional now. I'm in the Stable state, where I am the most intelligent with all neurons activated.":t<=60&&(i+="I am now an old Perceptron, so my recognition ability is no longer the best. I'm in the Decaying state, meaning that my neurons are dying, and my intelligence is decreasing over time.")}else 4==e?i=`${n} is Dead. However, this is
    OP_PUSHDATA2(77) not the end to its story...`:5==e&&(i=`${n} is now in the Rebirth state, and is preparing to start a new life.`);return i}function vr(e){const t=e.getDate(),n=e.toLocaleString("en-US",{month:"long"}),r=e.getFullYear();let i=e.getHours().toString();1==i.length&&(i="0"+i);let o=e.getMinutes().toString();return 1==o.length&&(o="0"+o),`${Y(t)} ${n} ${r} | ${i}:${o}`}saveCanvasAtCurrentTime=()=>{save(N())},save4KCanvasAtCurrentTime=()=>{const e=width,t=height,n=min(4096/min(e,t),1e4/max(e,t)),r=e*n,i=t*n;mr(r,i),zn=!0,$
    OP_PUSHDATA2(77) n(r,i),qn();let o="4K_"+N()+".png";saveCanvas(et,o),mr(e,t),$n(e,t),zn=!1};const zr=[["60 Years",3,365],["60 Months",40,30],["60 Weeks",37,7],["60 Days",20,1]],Vr=[["1943",1],["1951",1.5],["1957",2],["1969",2.5],["1970",3],["1980",3.5],["1982",4],["1986",4.5],["1988",5],["1997",5.5],["1998",6],["2002",6.5],["2009",7],["2012",7.5],["2014",8],["2015",8.5],["2016",9],["2023",15]],_r=[["Plain",20],["Dotted",40],["Squared",40]],Mr=[["Basic",30],["Standard",60],["Advanced",10]],Er=[["MNIST",70],["CIFAR",25],["IMAGENET",5
    OP_PUSHDATA2(77) ]],Sr=[["Theano",60],["Torch",30],["TensorFlow",10]],Rr=[["Whitepaper",2],["Blackboard",2],["Blueprint",2],["Nak",74/14],["Jims",74/14],["Level 10",74/14],["Flips",74/14],["Level 14",74/14],["III",74/14],["XMB",74/14],["Info",74/14],["Adventure",74/14],["Marigold",74/14],["Phoenix",74/14],["Love",74/14],["Cachet",74/14],["Human",74/14],["Twilight",3],["Sunset",3],["Aurora",3],["Liminal Space",3],["Déjà Vu",3],["Lucid Dream",3],["Parallel",1],["Multiverse",1]];function Ir(e){for(let e=0;e<100;++e)random(1);return{
    OP_PUSHDATA2(77) visual:{pattern:k(_r),hardwareAcceleration:k(Mr),nodeFill:k(Er),nodeShape:k(Sr),colorPalette:k(Rr),lifeCycle:k(zr),birthYear:k(Vr)},training:e}}function Cr(e){window.$generativeTraits={"Network Architecture":e.training.structure_gen,"Hidden Layers":e.training.n_layers,"Max Neurons Per Hidden Layer":e.training.max_nodes,"Activation Function":e.training.activation_func,"Training Epochs":e.training.epoch_num,Dataset:e.visual.nodeFill,"Deep Learning Framework":e.visual.nodeShape,"Hardware Acceleration":e.visual.hardwar
    OP_PUSHDATA2(77) eAcceleration,"Paper Pattern":e.visual.pattern,"Life Cycle":e.visual.lifeCycle,"Birth Year":e.visual.birthYear,"Color Palette":e.visual.colorPalette}} </script> <script defer src="https://static.cloudflareinsights.com/beacon.min.js/v2b4487d741ca48dcbadcaf954e159fc61680799950996" integrity="sha512-D/jdE0CypeVxFadTejKGTzmwyV10c1pxZk/AqjJuZbaJwGMyNHY3q/mTPWqMUnFACfCTunhZUVcd4cV78dK1pQ==" data-cf-beacon='{"rayId":"7b44e013ef11a1db","version":"2023.3.0","b":1,"token":"6c07c178c94442f695e7a0a2aaee641a","si":100}' c
    OP_DATA_49(49) rossorigin="anonymous"></script> </body> </html>
    OP_ENDIF(104)
1 Outputs
  • b3d36f73257c321a847925dbb9cad1b84db3031fc8ad6f167f89e96d0baeb6dc:0
  • value  10000
    address  bc1p5g0kdw37u647k3rwqyav96v47e25mdycjq7glcl2dcfaaqccnk7sy0g4ru